diff --git a/comfyui_embedded_docs/docs/AddNoise/en.md b/comfyui_embedded_docs/docs/AddNoise/en.md
index 1f2f56aaa..4eac15dab 100644
--- a/comfyui_embedded_docs/docs/AddNoise/en.md
+++ b/comfyui_embedded_docs/docs/AddNoise/en.md
@@ -18,4 +18,4 @@ This node adds controlled noise to a latent image using a specified noise genera
| `LATENT` | LATENT | The modified latent representation with added noise. Any NaN or infinite values in the output are converted to zeros for stability. |
---
-**Source fingerprint (SHA-256):** `8f387f95aeec2780d27bee5b954ad2c6cd6daa9242a1ea15697455b157bc80d5`
+**Source fingerprint (SHA-256):** `7e2b3e7f55c7c4380e831be5a558c506a6328ad2ec974f550ed30b40ddfab037`
diff --git a/comfyui_embedded_docs/docs/AddTextPrefix/en.md b/comfyui_embedded_docs/docs/AddTextPrefix/en.md
index fc6f1f9d5..a498e2611 100644
--- a/comfyui_embedded_docs/docs/AddTextPrefix/en.md
+++ b/comfyui_embedded_docs/docs/AddTextPrefix/en.md
@@ -2,6 +2,8 @@
The Add Text Prefix node modifies text by adding a specified string to the beginning of each input text. It takes the text and a prefix as input, then returns the combined result.
+**Note:** This node is deprecated and superseded by the Concatenate Text node.
+
## Inputs
| Parameter | Data Type | Required | Range | Description |
@@ -16,4 +18,4 @@ The Add Text Prefix node modifies text by adding a specified string to the begin
| `text` | STRING | The resulting text with the prefix added to the front. |
---
-**Source fingerprint (SHA-256):** `7f1282b1b84ea06a96ecefdec8e9e684cb6e7d3e618250dfb6e54d01f9e9ba87`
+**Source fingerprint (SHA-256):** `71744a8dc3056b8f20eb2cb7ac16002ce86e214a660aa1d145f501d6d7dc5b53`
diff --git a/comfyui_embedded_docs/docs/AddTextSuffix/en.md b/comfyui_embedded_docs/docs/AddTextSuffix/en.md
index 37a766b59..2f0ce93bc 100644
--- a/comfyui_embedded_docs/docs/AddTextSuffix/en.md
+++ b/comfyui_embedded_docs/docs/AddTextSuffix/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md)
-This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result.
+This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result. **This node is deprecated** and superseded by the Concatenate Text node.
## Inputs
@@ -16,4 +16,4 @@ This node appends a specified suffix to the end of an input text string. It take
| `text` | STRING | The resulting text after the suffix has been appended. |
---
-**Source fingerprint (SHA-256):** `5dd75a9a29709a35343ec0dce144d2eb27a6e7aef5cb0b9245329c678897a763`
+**Source fingerprint (SHA-256):** `9b73a9352d21feb5041de550cc4463222c9ccbc1ef4937415d4dc8c5648d3a90`
diff --git a/comfyui_embedded_docs/docs/AdjustBrightness/en.md b/comfyui_embedded_docs/docs/AdjustBrightness/en.md
index cb8f75693..4bd94f541 100644
--- a/comfyui_embedded_docs/docs/AdjustBrightness/en.md
+++ b/comfyui_embedded_docs/docs/AdjustBrightness/en.md
@@ -16,4 +16,4 @@ The Adjust Brightness node modifies the brightness of an input image. It works b
| `image` | IMAGE | The output image with adjusted brightness. |
---
-**Source fingerprint (SHA-256):** `c8f2fbb5fa149812a2ecd1ff9fce7bd6d29bf4c48b929e9ebc0a95c9e46ec65e`
+**Source fingerprint (SHA-256):** `dd1a35a4a133e6e15bb51788376e89c4e20e52ad395f889f4a4aa34fa614612e`
diff --git a/comfyui_embedded_docs/docs/AdjustContrast/en.md b/comfyui_embedded_docs/docs/AdjustContrast/en.md
index 5e680652b..49b328c0b 100644
--- a/comfyui_embedded_docs/docs/AdjustContrast/en.md
+++ b/comfyui_embedded_docs/docs/AdjustContrast/en.md
@@ -16,4 +16,4 @@ The Adjust Contrast node modifies the contrast level of an input image. It works
| `image` | IMAGE | The resulting image with adjusted contrast. |
---
-**Source fingerprint (SHA-256):** `01148cdd9d951e78c712c1c3159c5562a680a5147bd4a76e33d91543d5245854`
+**Source fingerprint (SHA-256):** `3debe91086d9818883dbe29b0cb2ae3ecaed44e4636b124d42a85d9906252330`
diff --git a/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md b/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md
index 509c1e0b6..77319228e 100644
--- a/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md
+++ b/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md
@@ -17,4 +17,4 @@ The AlignYourStepsScheduler node generates sigma values for the denoising proces
| `sigmas` | SIGMAS | Returns the calculated sigma values for the denoising process |
---
-**Source fingerprint (SHA-256):** `112535f9c100ca4e13dcd733e7a371c00c203b38d77bd10beb4355ba3512ec66`
+**Source fingerprint (SHA-256):** `ea8694299147f6f28a1191f0f3c416c64cff9ca3a73bc54fa9319ab7eaab4ce9`
diff --git a/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md b/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md
index 5f227bcfe..6b03474c2 100644
--- a/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md
+++ b/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md
@@ -16,4 +16,4 @@ The AudioAdjustVolume node modifies the loudness of audio by applying volume adj
| `audio` | AUDIO | The processed audio with adjusted volume level |
---
-**Source fingerprint (SHA-256):** `0436765680671551239f7a89b575cdfb22590fbe662bdfe5da01bd1cd5c496ed`
+**Source fingerprint (SHA-256):** `8c19625104901a0c57021b1a775fdf287c8bd0fb1fd535809e1983b1949ca752`
diff --git a/comfyui_embedded_docs/docs/AudioConcat/en.md b/comfyui_embedded_docs/docs/AudioConcat/en.md
index 8277cc822..87f85a910 100644
--- a/comfyui_embedded_docs/docs/AudioConcat/en.md
+++ b/comfyui_embedded_docs/docs/AudioConcat/en.md
@@ -17,4 +17,4 @@ The AudioConcat node combines two audio inputs by joining them together. It take
| `AUDIO` | AUDIO | The combined audio containing both input audio files joined together |
---
-**Source fingerprint (SHA-256):** `b54046e29761cf27bc5b1c065dac87846613afc0b5cbb296632628bf7d4527b7`
+**Source fingerprint (SHA-256):** `faccc3d42e9c6927deadb7d5f7fe9e5bbbf08e4e9a3d636f42a2b9f995eec8c1`
diff --git a/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md b/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md
index f44cdbc63..02ee6aa97 100644
--- a/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md
+++ b/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md
@@ -4,10 +4,10 @@ The AudioEncoderEncode node processes audio data by encoding it using an audio e
## Inputs
-| Parameter | Data Type | Input Type | Default | Range | Description |
-|-----------|-----------|------------|---------|-------|-------------|
-| `audio_encoder` | AUDIO_ENCODER | Required | - | - | The audio encoder model used to process the audio input |
-| `audio` | AUDIO | Required | - | - | The audio data containing waveform and sample rate information |
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `audio_encoder` | AUDIO_ENCODER | Yes | - | The audio encoder model used to process the audio input |
+| `audio` | AUDIO | Yes | - | The audio data containing waveform and sample rate information |
## Outputs
@@ -16,4 +16,4 @@ The AudioEncoderEncode node processes audio data by encoding it using an audio e
| `output` | AUDIO_ENCODER_OUTPUT | The encoded audio representation generated by the audio encoder |
---
-**Source fingerprint (SHA-256):** `8de45c157937ee95fbaef06aaefe478db7be8b16088d92720d977fe3d14eee39`
+**Source fingerprint (SHA-256):** `abd34445d7b959a6421fe0fe6bed0498b3754ee313019e3315cbed399f68bbe6`
diff --git a/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md b/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md
index 9eea88942..1b8a795be 100644
--- a/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md
+++ b/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md
@@ -15,4 +15,4 @@ The AudioEncoderLoader node loads an audio encoder model from a file in your aud
| `audio_encoder` | AUDIO_ENCODER | The loaded audio encoder model, ready for use in audio processing workflows |
---
-**Source fingerprint (SHA-256):** `24cbd45198db7d950633358c29de57f56c999bc33534fabe80404528d194163c`
+**Source fingerprint (SHA-256):** `66982618292df3881546883ff9efddbb8f8a2eae9aab45507ce0f96719fe6ee0`
diff --git a/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md b/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md
index 74eff808b..6f9893062 100644
--- a/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md
+++ b/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md
@@ -24,4 +24,4 @@ The Audio Equalizer (3-Band) node allows you to adjust the bass, mid, and treble
| `audio` | AUDIO | The processed audio data with the equalization applied, containing the modified waveform and the original sample rate. |
---
-**Source fingerprint (SHA-256):** `7aeaec2959f1af6144e46d8e6c558a16193669846923df1db23ae9d47e5cc173`
+**Source fingerprint (SHA-256):** `be3a0981d8285885cb465e82717c3f56c9d301d55708962f9a9dd5b2c400ec81`
diff --git a/comfyui_embedded_docs/docs/AudioMerge/en.md b/comfyui_embedded_docs/docs/AudioMerge/en.md
index be1d4d71f..f05ea432b 100644
--- a/comfyui_embedded_docs/docs/AudioMerge/en.md
+++ b/comfyui_embedded_docs/docs/AudioMerge/en.md
@@ -17,4 +17,4 @@ The AudioMerge node combines two audio tracks by overlaying their waveforms. It
| `AUDIO` | AUDIO | The merged audio output containing the combined waveform and sample rate |
---
-**Source fingerprint (SHA-256):** `2a4a7da42835efd03cc67002e617a70c0514524a0ac0ed61d57e499c1283be95`
+**Source fingerprint (SHA-256):** `3bb8c223e9a5155b5e60f901e8653c6654336a10a56d25ba7a3c5e8f5382ad27`
diff --git a/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md b/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md
index 45c7d9ee3..a6a30f108 100644
--- a/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md
+++ b/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md
@@ -17,4 +17,4 @@ This node is a test for the Autogrow input feature. It takes a dynamic number of
| `output` | STRING | A single string containing the values from all provided float inputs, joined together with commas. |
---
-**Source fingerprint (SHA-256):** `33e8b2e2c369d06979415c31ef2623cff55d98ecf49137c5cafbeba7cc3b0451`
+**Source fingerprint (SHA-256):** `7c9a6bdcbf7c65112d0810e5709a9d6d59f33c1980cd66fc475826565e35a1a9`
diff --git a/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md b/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md
index 371171b56..c5ac3b840 100644
--- a/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md
+++ b/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md
@@ -17,4 +17,4 @@ The AutogrowPrefixTestNode is a logic node designed to test the autogrow input f
| `output` | STRING | A single string containing all the input float values, separated by commas. |
---
-**Source fingerprint (SHA-256):** `7ae65365f77399a2ad8358b5a1eab3f2caa39331e53dec474cdd7f2751bfff4b`
+**Source fingerprint (SHA-256):** `93e3e3d13f8f411206d09e34e7e3b734596af0a2ef066712d6dfbe9dc3eec0cf`
diff --git a/comfyui_embedded_docs/docs/BasicGuider/en.md b/comfyui_embedded_docs/docs/BasicGuider/en.md
index 321b0650c..711c15582 100644
--- a/comfyui_embedded_docs/docs/BasicGuider/en.md
+++ b/comfyui_embedded_docs/docs/BasicGuider/en.md
@@ -16,4 +16,4 @@ The BasicGuider node creates a simple guidance mechanism for the sampling proces
| `GUIDER` | GUIDER | A guider object that can be used during the sampling process to guide generation |
---
-**Source fingerprint (SHA-256):** `012171caea6aacfadaabacb746be104ca783ae5ea5834cc4a67088233b835654`
+**Source fingerprint (SHA-256):** `87b4662787829c4f00a5cc362f12b1c046fe836f9eb7d90aa40bd48f5cecdf0a`
diff --git a/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md b/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md
index 975b106a6..f55a836f1 100644
--- a/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md
+++ b/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md
@@ -10,6 +10,11 @@ The Batch Images/Masks/Latents node combines multiple inputs of the same type in
**Note:** The node automatically determines the data type (IMAGE, MASK, or LATENT) based on the first item in the `inputs` list. All subsequent items must match this type. The node will fail if you try to mix different data types.
+**Additional behavior based on input type:**
+- **Images**: When batching images, the node pads images with fewer color channels to match the maximum channel count among all inputs (padding value is 1.0). It also resizes all images to match the dimensions of the first image using bilinear interpolation.
+- **Masks**: When batching masks, the node resizes all masks to match the dimensions of the first mask using bilinear interpolation.
+- **Latents**: When batching latents, the node reshapes all latent tensors to match the dimensions of the first latent's samples. It also combines the `batch_index` values from each latent, extending the list with sequential indices if a latent lacks a `batch_index`.
+
## Outputs
| Output Name | Data Type | Description |
@@ -17,4 +22,4 @@ The Batch Images/Masks/Latents node combines multiple inputs of the same type in
| `output` | IMAGE, MASK, or LATENT | A single batched output. The data type matches the input type (batched IMAGE, batched MASK, or batched LATENT). |
---
-**Source fingerprint (SHA-256):** `6f3037bc00fd8526f42ad2d79a0f27434f58bd6dd0338a585cc707a771ac0989`
+**Source fingerprint (SHA-256):** `9f82b036c99577ebcda6de647c662def572ae1f01bd78dca1a0ab32f4698e09e`
diff --git a/comfyui_embedded_docs/docs/BatchLatentsNode/en.md b/comfyui_embedded_docs/docs/BatchLatentsNode/en.md
index 5f5910068..d0ae7a611 100644
--- a/comfyui_embedded_docs/docs/BatchLatentsNode/en.md
+++ b/comfyui_embedded_docs/docs/BatchLatentsNode/en.md
@@ -6,9 +6,9 @@ The Batch Latents node combines multiple latent inputs into a single batch. It t
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `latents` | LATENT | Yes | 2 to 50 inputs | A set of latent samples to be combined into a single batch. You must provide at least two latents, and you can add up to 50. The node automatically creates input slots as you connect more latents. |
+| `latents` | LATENT | Yes | 1 to 50 inputs | A set of latent samples to be combined into a single batch. You must provide at least one latent, and you can add up to 50. The node automatically creates input slots as you connect more latents. |
-**Note:** You must provide at least two latent inputs for the node to function. The node will automatically create input slots as you connect more latents, up to a maximum of 50.
+**Note:** You must provide at least one latent input for the node to function. The node will automatically create input slots as you connect more latents, up to a maximum of 50.
## Outputs
@@ -17,4 +17,4 @@ The Batch Latents node combines multiple latent inputs into a single batch. It t
| `output` | LATENT | A single latent output containing all the input latents combined into one batch. |
---
-**Source fingerprint (SHA-256):** `215e7e2df43e902815dd87d228e8d5e09f18f6f52002cc3e861551fc207a9896`
+**Source fingerprint (SHA-256):** `66b2a315c1ce3842e0ee014edd576e87e959591e6d54576c93cba2116b599736`
diff --git a/comfyui_embedded_docs/docs/BatchMasksNode/en.md b/comfyui_embedded_docs/docs/BatchMasksNode/en.md
index 010d473f3..e10946468 100644
--- a/comfyui_embedded_docs/docs/BatchMasksNode/en.md
+++ b/comfyui_embedded_docs/docs/BatchMasksNode/en.md
@@ -1,22 +1,20 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/en.md)
-The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch processing of masks in subsequent nodes.
+The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch processing of masks in subsequent nodes. If the input masks have different sizes, they are automatically resized to match the dimensions of the first mask.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `mask_0` | MASK | Yes | - | The first mask input. |
-| `mask_1` | MASK | Yes | - | The second mask input. |
-| `mask_2` to `mask_49` | MASK | No | - | Additional optional mask inputs. The node can accept a minimum of 2 and a maximum of 50 masks in total. |
+| `mask` | MASK | Yes | 1 to 50 masks | The mask inputs to combine into a batch. At least one mask is required. You can add up to 50 masks total by clicking the "+" button on the node. If masks have different sizes, they are automatically resized to match the first mask's dimensions. |
-**Note:** This node uses an autogrow input template. You must connect at least two masks (`mask_0` and `mask_1`). You can add up to 48 more optional mask inputs (`mask_2` through `mask_49`) for a total of 50 masks. All connected masks will be combined into a single batch.
+**Note:** This node uses an autogrow input template. You must connect at least one mask. You can add up to 49 more mask inputs for a total of 50 masks. All connected masks will be combined into a single batch. If masks have different heights or widths, they are automatically resized to match the dimensions of the first mask using bilinear interpolation.
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `output` | MASK | A single batched mask containing all the input masks stacked together. |
+| `output` | MASK | A single batched mask containing all the input masks stacked together. If no masks are provided, returns None. |
---
-**Source fingerprint (SHA-256):** `8eb7a2a2d8108b619387b049d92348b8e9fc6d5e94e78c856c8520b88cdf77f2`
+**Source fingerprint (SHA-256):** `7e9bc4be72c7fa8fceab2cf167c72b7e1ff858c0281d977f2ad3ab433d9d58d6`
diff --git a/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md b/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md
index f9d2e2e8c..be42aa873 100644
--- a/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md
+++ b/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md
@@ -18,4 +18,4 @@ The BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for
| `SIGMAS` | SIGMAS | A sequence of noise levels (sigmas) used for the sampling process |
---
-**Source fingerprint (SHA-256):** `8b3d17ef737107da3d5cacc84278de8a93f6889e6567619012729b205bbc421e`
+**Source fingerprint (SHA-256):** `4be6f9ba853a1c8ff2b8f58ee3e37829a92e1fe9dc1f042fec20f22e04ae9d77`
diff --git a/comfyui_embedded_docs/docs/BriaImageEditNode/en.md b/comfyui_embedded_docs/docs/BriaImageEditNode/en.md
index bdc1ce6f4..6921d4fcc 100644
--- a/comfyui_embedded_docs/docs/BriaImageEditNode/en.md
+++ b/comfyui_embedded_docs/docs/BriaImageEditNode/en.md
@@ -31,4 +31,4 @@ The Bria FIBO Image Edit node allows you to modify an existing image using a tex
| `structured_prompt` | STRING | The structured prompt that was used or generated during the editing process. |
---
-**Source fingerprint (SHA-256):** `30148261f43f5bfd14339f5ff1ec250381a615cc05c67eee21b0a2423ebe349d`
+**Source fingerprint (SHA-256):** `60a5f42392ba803380695f036f78d4b88436b3d216aea381b2e3c13eeb5c5456`
diff --git a/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md b/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md
index 00ce9c654..8916c191e 100644
--- a/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md
+++ b/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md
@@ -21,4 +21,4 @@ This node removes the background from an image using the Bria RMBG 2.0 service.
| `image` | IMAGE | The processed image with its background removed. |
---
-**Source fingerprint (SHA-256):** `2b2dd3ca0d026af1a2bf3f7222165928527b05b65817073b50230ff18d39bc6c`
+**Source fingerprint (SHA-256):** `ba1626cbe1a98eb0b20d10a2857307b7589e05ea9f39564273dbb6ceeb8b2d41`
diff --git a/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md b/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md
index c03b7a5a9..74579b2db 100644
--- a/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md
+++ b/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md
@@ -19,4 +19,4 @@ This node removes the background from a video using the Bria AI service. It proc
| `output` | VIDEO | The processed video file with the background removed and replaced by the selected color. |
---
-**Source fingerprint (SHA-256):** `51499fc006d3fd3fd45f8aad686d92537d399255b3a583fd54b77c5a0698a068`
+**Source fingerprint (SHA-256):** `bfff6362ab9c6664b7240926c4b84c7a1c05fd5ab450cf240a46db16e70cc6f7`
diff --git a/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md
index da2f295b4..9737e9cad 100644
--- a/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md
@@ -26,4 +26,4 @@ This node uses ByteDance's Seedance 2.0 model to generate a video. It creates th
| `output` | VIDEO | The generated video. |
---
-**Source fingerprint (SHA-256):** `2c9c1fe8fddd0c3e1c356d2b93a06a07f83db8f7a0380e94629a91ce1ff1e29a`
+**Source fingerprint (SHA-256):** `434d6ad8f005515677b0de73b57df916aa589adff94aad892827202e6ebcb6e1`
diff --git a/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md b/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md
index ff542800b..efd5ab759 100644
--- a/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md
@@ -25,4 +25,4 @@ The ByteDance Seedance 2.0 Reference to Video node uses the Seedance 2.0 AI mode
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `72c8a2f821b9fb9853a4d0428785c432d0852ae562080292817f8a7d52967c7f`
+**Source fingerprint (SHA-256):** `4420682a5c2773ce1b4df2f4c9537754ec90ad8411d6332fa38d48f5ea88d66f`
diff --git a/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md b/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md
index eef1156d6..9a849f119 100644
--- a/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md
@@ -19,4 +19,4 @@ This node uses ByteDance's Seedance 2.0 API to generate a video from a text desc
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `f8552e47667ff4b1ad3c8c1c074d70bdc45227b79b026b4b3c06986443655473`
+**Source fingerprint (SHA-256):** `670a35641fa421fb67ea067cdf38aff0d0fb51056ecc26485b5594e944adbbc8`
diff --git a/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md b/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md
index 0899ee656..616837574 100644
--- a/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md
@@ -22,4 +22,4 @@ This node creates a personal image asset for ByteDance's Seedance 2.0 service. I
| `group_id` | STRING | The identifier for the asset group. This will be the provided `group_id` or a newly created one. |
---
-**Source fingerprint (SHA-256):** `b8b7b4cbbc16a8bb0102982757496ad4e8140bd87155902668c0be0d8b4d3d98`
+**Source fingerprint (SHA-256):** `16e55191af67306bf995c8508f56b64491d2a107e168a3dddb4a05f3468cf103`
diff --git a/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md b/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md
index f5ad19d78..09753b6f4 100644
--- a/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md
@@ -24,4 +24,4 @@ This node creates a personal video asset for Seedance 2.0. It uploads your input
| `group_id` | STRING | The identifier of the asset group containing the new video. This will be the provided `group_id` or a newly created one. |
---
-**Source fingerprint (SHA-256):** `9da0872cf8df32765e3fb1eef50bc24f53b65e069d8ef2609de1075d89edd605`
+**Source fingerprint (SHA-256):** `6598a586dae18811698bd505333ec45b7d2a60aa85728a38e5de790c5bacbdb7`
diff --git a/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md
index d619f3c31..9dbea0ee0 100644
--- a/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md
@@ -25,4 +25,4 @@ This node generates a video using a text prompt along with first and last frame
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `2da7b8ad2bc818a21988c028155ba2b466452a1655ac506fcef01c143dda7450`
+**Source fingerprint (SHA-256):** `ac16faf3aabcb06154c6a8815cc20c8a0e0c3a6b5b21e7d49813c10dce33d7be`
diff --git a/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md b/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md
index 4157e77fc..40f937c9b 100644
--- a/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md
@@ -24,4 +24,4 @@ The ByteDance Image node generates images using ByteDance models through an API
| `IMAGE` | IMAGE | The generated image returned from the ByteDance API as a tensor. |
---
-**Source fingerprint (SHA-256):** `6ad3011ae942e81bc5e5296fa7120ee89637ef7487e2f12822d84b6917ec211e`
+**Source fingerprint (SHA-256):** `69c1f6fd24e6e184b1a1d785b541c8962f3751d2bbd121d6a3b105d66d58d4b1`
diff --git a/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md b/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md
index e6e64b2fe..826c18e52 100644
--- a/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md
@@ -24,4 +24,4 @@ The ByteDance Image Reference Node generates videos using a text prompt and one
| `output` | VIDEO | The generated video file based on the input prompt and reference images. |
---
-**Source fingerprint (SHA-256):** `d5d1292d6af2fe24dc5c8a10174204546a5a6054ea1f43db44a45ce1017957d6`
+**Source fingerprint (SHA-256):** `5365f846cafc80333bc8db5bce9101d83e69f3aae1625f275de7a172623a54b9`
diff --git a/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md b/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md
index 278d228ad..ec1041b92 100644
--- a/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md
@@ -26,4 +26,4 @@ The ByteDance Image to Video node generates videos using ByteDance models throug
| `output` | VIDEO | The generated video file based on the input image and prompt parameters. |
---
-**Source fingerprint (SHA-256):** `e47e14c69f4bdf4921a5a5eaec20fb775473483e80cdd9dd6700d2c7f9219e65`
+**Source fingerprint (SHA-256):** `7b77df4ab83ef41164eff80a4c02478d5480c9368aa67bcd624fe2f8375d6e07`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/ar.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ar.md
new file mode 100644
index 000000000..cabbba72f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ar.md
@@ -0,0 +1,25 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ar.md)
+
+# نظرة عامة
+
+توليد استجابات نصية باستخدام نماذج Seed 2.0 من ByteDance. قم بتوفير مطالبة نصية، ويمكنك اختياريًا تضمين الصور أو مقاطع الفيديو لتوفير سياق متعدد الوسائط.
+
+# المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|----------|---------------|--------|---------|-------------|
+| `prompt` | STRING | نعم | غير متاح | الإدخال النصي للنموذج. |
+| `model` | COMBO | نعم | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | نموذج Seed المستخدم لتوليد الاستجابة. |
+| `seed` | INT | نعم | 0 إلى 2147483647 | يتحكم البذرة في ما إذا كان يجب إعادة تشغيل العقدة؛ النتائج غير حتمية بغض النظر عن البذرة. (الافتراضي: 0) |
+| `system_prompt` | STRING | لا | غير متاح | تعليمات أساسية تحدد سلوك النموذج. (الافتراضي: "") |
+
+**ملاحظة حول معامل `model`:** معامل `model` هو قائمة ديناميكية تقبل أيضًا الصور ومقاطع الفيديو. يمكنك توصيل مدخلات الصور والفيديو بهذا المعامل لتوفير سياق متعدد الوسائط. يُدعم حد أقصى 20 صورة و4 مقاطع فيديو لكل طلب.
+
+# المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|-------------|
+| `output` | STRING | الاستجابة النصية المُولَّدة من نموذج Seed. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md
new file mode 100644
index 000000000..7332c9d7d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md
@@ -0,0 +1,25 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md)
+
+## Overview
+
+Generate text responses using ByteDance's Seed 2.0 models. Provide a text prompt and optionally include images or videos for multimodal context.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Yes | N/A | Text input to the model. |
+| `model` | COMBO | Yes | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | The Seed model used to generate the response. |
+| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) |
+| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: "") |
+
+**Note on `model` parameter:** The `model` parameter is a dynamic combo that also accepts images and videos. You can connect image and video inputs to this parameter to provide multimodal context. A maximum of 20 images and 4 videos are supported per request.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `output` | STRING | The generated text response from the Seed model. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/es.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/es.md
new file mode 100644
index 000000000..8d53cf998
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/es.md
@@ -0,0 +1,53 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/es.md)
+
+Eres un experto en traducción técnica especializado en documentación de nodos ComfyUI del inglés al español.
+
+## Reglas de Traducción
+
+1. **Contenido que NO debe traducirse:**
+ - Nombres de parámetros entre comillas invertidas: `image`, `seed`, `model`
+ - Tipos de datos en MAYÚSCULAS: IMAGE, STRING, INT, FLOAT, MODEL, CONDITIONING, etc.
+ - Valores en columna Range: números, "auto", nombres de opciones
+ - Código, rutas de archivos
+
+2. **Contenido que SÍ debe traducirse:**
+ - Títulos de secciones: ## Descripción general, ## Entradas, ## Salidas
+ - Todo el texto descriptivo y explicativo
+ - Descripciones de parámetros
+
+3. **Calidad de traducción:**
+ - Usar español estándar y neutral
+ - Mantener tono profesional pero accesible
+ - Asegurar precisión técnica
+ - Usar terminología técnica estándar en español
+
+4. **Formato:**
+ - Mantener todo el formato Markdown
+ - Preservar estructura de tablas
+ - No agregar ninguna nota o enlace al inicio del documento (será agregado automáticamente)
+
+Por favor traduce la siguiente documentación al español, sin incluir la nota inicial del documento:
+
+## Resumen
+
+Genera respuestas de texto utilizando los modelos Seed 2.0 de ByteDance. Proporciona un mensaje de texto y, opcionalmente, incluye imágenes o videos para contexto multimodal.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `prompt` | STRING | Sí | N/A | Entrada de texto para el modelo. |
+| `model` | COMBO | Sí | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | El modelo Seed utilizado para generar la respuesta. |
+| `seed` | INT | Sí | 0 a 2147483647 | La semilla controla si el nodo debe re-ejecutarse; los resultados no son deterministas independientemente de la semilla. (por defecto: 0) |
+| `system_prompt` | STRING | No | N/A | Instrucciones fundamentales que dictan el comportamiento del modelo. (por defecto: "") |
+
+**Nota sobre el parámetro `model`:** El parámetro `model` es un combo dinámico que también acepta imágenes y videos. Puedes conectar entradas de imagen y video a este parámetro para proporcionar contexto multimodal. Se admite un máximo de 20 imágenes y 4 videos por solicitud.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `output` | STRING | La respuesta de texto generada por el modelo Seed. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/fa.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/fa.md
new file mode 100644
index 000000000..0a65022ca
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/fa.md
@@ -0,0 +1,25 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/fa.md)
+
+## نمای کلی
+
+با استفاده از مدلهای Seed 2.0 شرکت ByteDance، پاسخهای متنی تولید کنید. یک متن راهنما (prompt) ارائه دهید و در صورت تمایل، تصاویر یا ویدیوهایی برای زمینه چندرسانهای اضافه کنید.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | بله | نامشخص | ورودی متنی به مدل. |
+| `model` | COMBO | بله | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | مدل Seed مورد استفاده برای تولید پاسخ. |
+| `seed` | INT | بله | 0 تا 2147483647 | seed مشخص میکند که آیا گره باید دوباره اجرا شود یا خیر؛ نتایج بدون توجه به seed غیرقطعی هستند. (پیشفرض: 0) |
+| `system_prompt` | STRING | خیر | نامشخص | دستورالعملهای پایهای که رفتار مدل را تعیین میکنند. (پیشفرض: "") |
+
+**نکته درباره پارامتر `model`:** پارامتر `model` یک جعبه ترکیبی پویا است که تصاویر و ویدیوها را نیز میپذیرد. میتوانید ورودیهای تصویر و ویدیو را به این پارامتر متصل کنید تا زمینه چندرسانهای فراهم شود. حداکثر ۲۰ تصویر و ۴ ویدیو در هر درخواست پشتیبانی میشود.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `output` | STRING | پاسخ متنی تولید شده توسط مدل Seed. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/fr.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/fr.md
new file mode 100644
index 000000000..eea6a323d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/fr.md
@@ -0,0 +1,27 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/fr.md)
+
+Voici la traduction de la documentation technique du nœud ComfyUI, en respectant les règles établies :
+
+## Aperçu
+
+Générer des réponses textuelles à l'aide des modèles Seed 2.0 de ByteDance. Fournissez une invite textuelle et incluez éventuellement des images ou des vidéos pour un contexte multimodal.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `invite` | STRING | Oui | N/A | Texte d'entrée pour le modèle. |
+| `modèle` | COMBO | Oui | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | Le modèle Seed utilisé pour générer la réponse. |
+| `seed` | INT | Oui | 0 à 2147483647 | La graine contrôle si le nœud doit être réexécuté ; les résultats ne sont pas déterministes, quelle que soit la graine. (valeur par défaut : 0) |
+| `invite système` | STRING | Non | N/A | Instructions fondamentales qui dictent le comportement du modèle. (valeur par défaut : "") |
+
+**Remarque sur le paramètre `model :** Le paramètre `model` est une liste déroulante dynamique qui accepte également des images et des vidéos. Vous pouvez connecter des entrées d'images et de vidéos à ce paramètre pour fournir un contexte multimodal. Un maximum de 20 images et 4 vidéos est pris en charge par requête.
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `output` | STRING | La réponse textuelle générée par le modèle Seed. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md
new file mode 100644
index 000000000..84ac3f46a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md
@@ -0,0 +1,25 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md)
+
+## 概要
+
+ByteDanceのSeed 2.0モデルを使用してテキスト応答を生成します。テキストプロンプトを入力し、オプションで画像や動画を含めることでマルチモーダルなコンテキストを提供できます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `プロンプト` | STRING | はい | なし | モデルへのテキスト入力です。 |
+| `モデル` | COMBO | はい | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | 応答生成に使用するSeedモデルです。 |
+| `シード` | INT | はい | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） |
+| `システムプロンプト` | STRING | いいえ | なし | モデルの動作を指示する基本命令です。（デフォルト：""） |
+
+**`model`パラメータに関する注意事項：** `model`パラメータは動的なコンボであり、画像や動画も受け入れます。このパラメータに画像や動画の入力を接続することで、マルチモーダルなコンテキストを提供できます。1リクエストあたり最大20枚の画像と4本の動画がサポートされています。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `output` | STRING | Seedモデルから生成されたテキスト応答です。 |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/ko.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ko.md
new file mode 100644
index 000000000..4b1cfc897
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ko.md
@@ -0,0 +1,25 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ko.md)
+
+# 개요
+
+ByteDance의 Seed 2.0 모델을 사용하여 텍스트 응답을 생성합니다. 텍스트 프롬프트를 제공하고, 멀티모달 컨텍스트를 위해 이미지나 비디오를 선택적으로 포함할 수 있습니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `프롬프트` | STRING | 예 | 해당 없음 | 모델에 입력할 텍스트입니다. |
+| `모델` | COMBO | 예 | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | 응답 생성에 사용할 Seed 모델입니다. |
+| `시드` | INT | 예 | 0 ~ 2147483647 | 시드는 노드 재실행 여부를 제어하며, 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) |
+| `시스템 프롬프트` | STRING | 아니요 | 해당 없음 | 모델의 동작을 지시하는 기본 명령입니다. (기본값: "") |
+
+**`model` 매개변수 참고사항:** `model` 매개변수는 이미지와 비디오도 허용하는 동적 콤보입니다. 이 매개변수에 이미지 및 비디오 입력을 연결하여 멀티모달 컨텍스트를 제공할 수 있습니다. 요청당 최대 20개의 이미지와 4개의 비디오가 지원됩니다.
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `output` | STRING | Seed 모델에서 생성된 텍스트 응답입니다. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/pt-BR.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/pt-BR.md
new file mode 100644
index 000000000..ac4beb356
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/pt-BR.md
@@ -0,0 +1,25 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/pt-BR.md)
+
+# Visão Geral
+
+Gere respostas de texto usando os modelos Seed 2.0 da ByteDance. Forneça um prompt de texto e, opcionalmente, inclua imagens ou vídeos para contexto multimodal.
+
+# Entradas
+
+| Parâmetro | Tipo de Dados | Obrigatório | Faixa | Descrição |
+|-----------|---------------|-------------|-------|-----------|
+| `prompt` | STRING | Sim | N/A | Entrada de texto para o modelo. |
+| `modelo` | COMBO | Sim | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | O modelo Seed usado para gerar a resposta. |
+| `seed` | INT | Sim | 0 a 2147483647 | A semente controla se o nó deve ser executado novamente; os resultados são não determinísticos independentemente da semente. (padrão: 0) |
+| `prompt do sistema` | STRING | Não | N/A | Instruções fundamentais que determinam o comportamento do modelo. (padrão: "") |
+
+**Observação sobre o parâmetro `model`:** O parâmetro `model` é uma combinação dinâmica que também aceita imagens e vídeos. Você pode conectar entradas de imagem e vídeo a este parâmetro para fornecer contexto multimodal. São suportados no máximo 20 imagens e 4 vídeos por requisição.
+
+# Saídas
+
+| Nome da Saída | Tipo de Dados | Descrição |
+|---------------|---------------|-----------|
+| `output` | STRING | A resposta de texto gerada pelo modelo Seed. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/ru.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ru.md
new file mode 100644
index 000000000..32f18827b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/ru.md
@@ -0,0 +1,25 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ru.md)
+
+## Обзор
+
+Генерируйте текстовые ответы с использованием моделей ByteDance Seed 2.0. Укажите текстовый запрос и при необходимости добавьте изображения или видео для мультимодального контекста.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-----------|-------------|
+| `prompt` | STRING | Да | Н/Д | Текстовый ввод для модели. |
+| `model` | COMBO | Да | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | Модель Seed, используемая для генерации ответа. |
+| `seed` | INT | Да | от 0 до 2147483647 | Значение seed определяет, должен ли узел выполниться повторно; результаты недетерминированы независимо от seed. (по умолчанию: 0) |
+| `system_prompt` | STRING | Нет | Н/Д | Базовые инструкции, определяющие поведение модели. (по умолчанию: "") |
+
+**Примечание по параметру `model`:** Параметр `model` представляет собой динамическое комбинированное поле, которое также принимает изображения и видео. Вы можете подключить входные данные изображений и видео к этому параметру для обеспечения мультимодального контекста. На один запрос поддерживается не более 20 изображений и 4 видео.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `output` | STRING | Сгенерированный текстовый ответ от модели Seed. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/tr.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/tr.md
new file mode 100644
index 000000000..a3c36d17e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/tr.md
@@ -0,0 +1,23 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/tr.md)
+
+## Genel Bakış ByteDance'ın Seed 2.0 modellerini kullanarak metin yanıtları oluşturun. Çok modlu bağlam için bir metin istemi sağlayın ve isteğe bağlı olarak görseller veya videolar ekleyin.
+
+## Girdiler
+
+| Parametre | Veri Türü | Gerekli | Aralık | Açıklama |
+|-----------|-----------|---------|--------|----------|
+| `prompt` | STRING | Evet | Yok | Modele verilen metin girişi. |
+| `model` | COMBO | Evet | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | Yanıtı oluşturmak için kullanılan Seed modeli. |
+| `seed` | INT | Evet | 0 ile 2147483647 arası | Seed, düğümün yeniden çalıştırılıp çalıştırılmayacağını kontrol eder; sonuçlar seed'den bağımsız olarak deterministik değildir. (varsayılan: 0) |
+| `system_prompt` | STRING | Hayır | Yok | Modelin davranışını belirleyen temel talimatlar. (varsayılan: "") |
+
+**`model` parametresi hakkında not:** `model` parametresi aynı zamanda görselleri ve videoları kabul eden dinamik bir kombinasyon kutusudur. Çok modlu bağlam sağlamak için bu parametreye görsel ve video girişleri bağlayabilirsiniz. Her istekte en fazla 20 görsel ve 4 video desteklenir.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `output` | STRING | Seed modelinden oluşturulan metin yanıtı. |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh-TW.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh-TW.md
new file mode 100644
index 000000000..6235ac722
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh-TW.md
@@ -0,0 +1,25 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh-TW.md)
+
+## 概述
+
+使用 ByteDance 的 Seed 2.0 模型生成文字回應。提供文字提示，並可選擇包含圖片或影片以提供多模態上下文。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `提示詞` | STRING | 是 | 不適用 | 輸入至模型的文字。 |
+| `模型` | COMBO | 是 | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | 用於生成回應的 Seed 模型。 |
+| `隨機種子` | INT | 是 | 0 至 2147483647 | Seed 控制節點是否應重新執行；無論 seed 為何，結果皆非確定性。（預設值：0） |
+| `系統提示` | STRING | 否 | 不適用 | 決定模型行為的基礎指令。（預設值：""） |
+
+**關於 `model` 參數的說明：** `model` 參數是一個動態組合，也可接受圖片和影片。您可以將圖片和影片輸入連接到此參數，以提供多模態上下文。每個請求最多支援 20 張圖片和 4 部影片。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `output` | STRING | 從 Seed 模型生成的文字回應。 |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh.md
new file mode 100644
index 000000000..90625a2fd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh.md
@@ -0,0 +1,25 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh.md)
+
+## ## 概述
+
+使用字节跳动的 Seed 2.0 模型生成文本回复。提供文本提示，并可选择包含图像或视频以提供多模态上下文。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 无 | 输入到模型的文本。 |
+| `model` | COMBO | 是 | `"Seed 2.0 Pro"` `"Seed 2.0 Lite"` `"Seed 2.0 Mini"` | 用于生成回复的 Seed 模型。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的。（默认值：0） |
+| `system_prompt` | STRING | 否 | 无 | 定义模型行为的基础指令。（默认值：""） |
+
+**关于 `model` 参数的说明：** `model` 参数是一个动态组合框，也接受图像和视频。您可以将图像和视频输入连接到该参数，以提供多模态上下文。每个请求最多支持 20 张图像和 4 个视频。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `output` | STRING | 从 Seed 模型生成的文本回复。 |
+
+---
+**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md b/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md
index d25598268..5f79ec23c 100644
--- a/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md
@@ -6,9 +6,9 @@ The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | STRING | Yes | See Description | The Seedream model to use for generation. Available models include seedream-4-0, seedream-4-5, and seedream-5-0 variants. |
+| `model` | STRING | Yes | "seedream 5.0 lite" "seedream-4-5-251128" "seedream-4-0-250828" | The Seedream model to use for generation. |
| `prompt` | STRING | Yes | - | Text prompt for creating or editing an image. Must be at least 1 character long. |
-| `image` | IMAGE | No | - | Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation. Maximum of 10 reference images for most models, or 14 for seedream-5-0-260128. |
+| `image` | IMAGE | No | - | Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation. Maximum of 14 reference images for seedream-5-0-260128, or 10 for other models. |
| `size_preset` | STRING | No | Multiple options available | Pick a recommended size. Select Custom to use the width and height below. Default: first preset from RECOMMENDED_PRESETS_SEEDREAM_4. |
| `width` | INT | No | 1024 to 6240 (step 2) | Custom width for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. |
| `height` | INT | No | 1024 to 4992 (step 2) | Custom height for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. |
@@ -32,4 +32,4 @@ The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation
| `IMAGE` | IMAGE | Generated image(s) based on the input parameters and prompt. Returns a single image tensor or a batch of image tensors if multiple images are generated. |
---
-**Source fingerprint (SHA-256):** `ce130246026e0f5036e137bea4e193f51097e0812459586dcbeb87ef01975630`
+**Source fingerprint (SHA-256):** `daddffc265ab7b24746337825239c25b633a923804b6e5ad11149aea15772a7f`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md b/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md
index bcfb73c20..c8724c8ae 100644
--- a/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md
@@ -17,7 +17,7 @@ This node generates or edits images using ByteDance's Seedream models (versions
When you select a model, additional parameters become available:
-- **Size Preset**: A dropdown to select a predefined image resolution (e.g., "2048x2048", "1024x1024"). The available presets depend on the selected model.
+- **Size Preset**: A dropdown to select a predefined image resolution. The available presets depend on the selected model.
- **Width**: The width of the generated image in pixels (default: 2048).
- **Height**: The height of the generated image in pixels (default: 2048).
- **Max Images**: The maximum number of images to generate (default: 1). When set to 1, sequential image generation is disabled.
@@ -43,4 +43,4 @@ When you select a model, additional parameters become available:
| `image` | IMAGE | The generated or edited image as a tensor. If multiple images were requested, they are concatenated into a single batch. |
---
-**Source fingerprint (SHA-256):** `1ceccfdb773807a993c32af22703da155367b67865338c78f153a8ccb02dcc8f`
+**Source fingerprint (SHA-256):** `6a98d2c1f1e73e304970115bc6dd3ea24ca3cdf440803eed862b7a1ea8d394ce`
diff --git a/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md b/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md
index 0e8551b19..a498e8a3f 100644
--- a/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md
@@ -31,4 +31,4 @@ The ByteDance Text to Video node generates videos using ByteDance models through
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `44ea3e40b99b337340cc39be1c5b6c903680591f1de49b1f2e82f398979355c5`
+**Source fingerprint (SHA-256):** `a16c07e920a0e96e3e14eec33e5b4e3393e924970528365b326ef32887d64766`
diff --git a/comfyui_embedded_docs/docs/CFGGuider/en.md b/comfyui_embedded_docs/docs/CFGGuider/en.md
index d008416c2..f7a6e7c99 100644
--- a/comfyui_embedded_docs/docs/CFGGuider/en.md
+++ b/comfyui_embedded_docs/docs/CFGGuider/en.md
@@ -18,4 +18,4 @@ The CFGGuider node creates a guidance system for controlling the sampling proces
| `GUIDER` | GUIDER | A guider object that can be passed to sampling nodes to control the generation process |
---
-**Source fingerprint (SHA-256):** `80c1f733dc26717c5762655404b9c36b53bb9059ceb6a8531ef1a853e2fe2380`
+**Source fingerprint (SHA-256):** `a723a359d0e0ac6ae83dc59d9eb459444b0c4a5361d54d54e22fb03ea34c16be`
diff --git a/comfyui_embedded_docs/docs/CFGNorm/en.md b/comfyui_embedded_docs/docs/CFGNorm/en.md
index 233905d59..9c2a8cf69 100644
--- a/comfyui_embedded_docs/docs/CFGNorm/en.md
+++ b/comfyui_embedded_docs/docs/CFGNorm/en.md
@@ -4,10 +4,10 @@ The CFGNorm node applies a normalization technique to the classifier-free guidan
## Inputs
-| Parameter | Data Type | Input Type | Default | Range | Description |
-|-----------|-----------|------------|---------|-------|-------------|
-| `model` | MODEL | required | - | - | The diffusion model to apply CFG normalization to |
-| `strength` | FLOAT | required | 1.0 | 0.0 - 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling |
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | Yes | - | The diffusion model to apply CFG normalization to |
+| `strength` | FLOAT | Yes | 0.0 to 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling (default: 1.0) |
## Outputs
@@ -16,4 +16,4 @@ The CFGNorm node applies a normalization technique to the classifier-free guidan
| `patched_model` | MODEL | Returns the modified model with CFG normalization applied to its sampling process |
---
-**Source fingerprint (SHA-256):** `af9e5f965500b959ff46f781e9329524fc0a4b94af2ce6d74116fe27b0e9005e`
+**Source fingerprint (SHA-256):** `adbcea5c02277a7bd93866eaae75fe150b5b310dbc6e0a3a31c4e4ee0f71e57c`
diff --git a/comfyui_embedded_docs/docs/CFGZeroStar/en.md b/comfyui_embedded_docs/docs/CFGZeroStar/en.md
index 0638c454a..304661f58 100644
--- a/comfyui_embedded_docs/docs/CFGZeroStar/en.md
+++ b/comfyui_embedded_docs/docs/CFGZeroStar/en.md
@@ -4,9 +4,9 @@ The CFGZeroStar node applies a specialized guidance scaling technique to diffusi
## Inputs
-| Parameter | Data Type | Input Type | Default | Range | Description |
-|-----------|-----------|------------|---------|-------|-------------|
-| `model` | MODEL | required | - | - | The diffusion model to be modified with the CFGZeroStar guidance scaling technique |
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | Yes | - | The diffusion model to be modified with the CFGZeroStar guidance scaling technique |
## Outputs
@@ -15,4 +15,4 @@ The CFGZeroStar node applies a specialized guidance scaling technique to diffusi
| `patched_model` | MODEL | The modified model with CFGZeroStar guidance scaling applied |
---
-**Source fingerprint (SHA-256):** `1f5fcd1377c64609e28d85e453aaaa0bcc8f3ac322b7b7240f34f71aa113562a`
+**Source fingerprint (SHA-256):** `4ec70f67eed8aaca964ce3dfb5b650af2f44d34bcde3b74c3886c91e1e8e8cc0`
diff --git a/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md b/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md
index 81ec05b6a..536871c35 100644
--- a/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md
+++ b/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md
@@ -19,4 +19,4 @@ The CLIPAttentionMultiply node allows you to adjust the attention mechanism in C
| `CLIP` | CLIP | Returns a modified CLIP model with the specified attention scaling factors applied |
---
-**Source fingerprint (SHA-256):** `43dab83ecfc928f3359eb7560658f43235bf3faa62c81084a2b4f482e3a4638f`
+**Source fingerprint (SHA-256):** `1f5c437cb4a372dfd69ad3c10e2b8cfc68821e0fe82dcf37df5e6fd64aa0b436`
diff --git a/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md b/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md
index ed5b6cd5f..0362c6d40 100644
--- a/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md
+++ b/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md
@@ -19,4 +19,4 @@ The CLIPTextEncodeControlnet node processes text input using a CLIP model and co
| `CONDITIONING` | CONDITIONING | Enhanced conditioning data with added controlnet cross-attention parameters (`cross_attn_controlnet` and `pooled_output_controlnet`) derived from the CLIP text encoding |
---
-**Source fingerprint (SHA-256):** `dd6f68d822cc38e27c826b634c938d62e07b075e18a0f46f80b462aecca0b70b`
+**Source fingerprint (SHA-256):** `36f0c9b7d3f3187bcf794c71e8a261d456972a41c079ddaca0cb5117912e9685`
diff --git a/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md b/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md
index 9505236fe..bd6793c2a 100644
--- a/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md
+++ b/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md
@@ -21,4 +21,4 @@ The CLIPTextEncodeHiDream node processes four separate text inputs using differe
| `CONDITIONING` | CONDITIONING | The combined conditioning output from all processed text inputs, encoded using the scheduled encoding method |
---
-**Source fingerprint (SHA-256):** `51d117d82a9d833f095e874bf442d5cf8c46a12313fda6b98e628fa988797565`
+**Source fingerprint (SHA-256):** `4d0febcfc7fa8035d817a6b36ec80b9bdf176ede8446b49f291efd96b9d1371c`
diff --git a/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md b/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md
index da63a6022..d6dc69376 100644
--- a/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md
+++ b/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md
@@ -17,4 +17,4 @@ The CLIPTextEncodeKandinsky5 node prepares text prompts for use with the Kandins
| `CONDITIONING` | CONDITIONING | The combined conditioning data generated from both text prompts, ready to be fed into a Kandinsky 5 model for image generation. |
---
-**Source fingerprint (SHA-256):** `80227cf87d46bfa42b07976ab29996ae9583a4c461b2f2408db4b7016d3e1a0c`
+**Source fingerprint (SHA-256):** `f033b1924336ccb15d300eb713e859f9f08f48552b409c45b0a8a168d1ba51c2`
diff --git a/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md b/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md
index 7121415a8..0547c057c 100644
--- a/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md
+++ b/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md
@@ -19,4 +19,4 @@ The CLIP Text Encode for Lumina2 node encodes a system prompt and a user prompt
| `CONDITIONING` | CONDITIONING | A conditioning containing the embedded text used to guide the diffusion model. |
---
-**Source fingerprint (SHA-256):** `fcc0802180ffc2c0757b395850d54632da011473da0c6b1c5268b42da3747024`
+**Source fingerprint (SHA-256):** `e9d5f685a666a4f0737739e56afa3eb854a4abcbd8a76480c7a050cd503b53b2`
diff --git a/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md b/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md
index 73ae1843e..aa6a7817c 100644
--- a/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md
+++ b/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md
@@ -18,4 +18,4 @@ Encodes text and sets the resolution conditioning for PixArt Alpha. This node pr
| `CONDITIONING` | CONDITIONING | Encoded conditioning data with text tokens and resolution information |
---
-**Source fingerprint (SHA-256):** `d15df3c7bcca10ec85f0689d6631a6b89aa89e609193c36b658b1bc97f90ee9a`
+**Source fingerprint (SHA-256):** `d2ed9de57b9b9579162687e1ffaf859e18a0585bbe75888496a42772337b6746`
diff --git a/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md b/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md
index f38a3b38b..e24c231d6 100644
--- a/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md
+++ b/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md
@@ -25,4 +25,4 @@ The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models b
| `CONDITIONING` | CONDITIONING | The encoded text conditioning data ready for use in SD3 generation pipelines |
---
-**Source fingerprint (SHA-256):** `38f7538d05fe48e74f41f265550b83906b2f0c5d31f0783f6859f4df7b5cb9d3`
+**Source fingerprint (SHA-256):** `2086e7c0fe910a94c04173ecfe35a2e04ecb306526b9089c527bb874e97b20c4`
diff --git a/comfyui_embedded_docs/docs/CaseConverter/en.md b/comfyui_embedded_docs/docs/CaseConverter/en.md
index 07b781f06..90629de76 100644
--- a/comfyui_embedded_docs/docs/CaseConverter/en.md
+++ b/comfyui_embedded_docs/docs/CaseConverter/en.md
@@ -16,4 +16,4 @@ The Case Converter node transforms text strings into different letter case forma
| `output` | STRING | The input string converted to the specified case format |
---
-**Source fingerprint (SHA-256):** `2493daccd5bdd86ce3fb24c6658057f5e50c2d6ed7616785f40806826f9a60dc`
+**Source fingerprint (SHA-256):** `6cc933ec8a245ff454195b699ab7d72d2a014ec9a6e920a8c875acf7eb77e01a`
diff --git a/comfyui_embedded_docs/docs/CenterCropImages/en.md b/comfyui_embedded_docs/docs/CenterCropImages/en.md
index 66beb8d3f..bbbdb5bcc 100644
--- a/comfyui_embedded_docs/docs/CenterCropImages/en.md
+++ b/comfyui_embedded_docs/docs/CenterCropImages/en.md
@@ -17,4 +17,4 @@ The Center Crop Images node crops an image from its center to a specified width
| `image` | IMAGE | The resulting image after the center crop operation. |
---
-**Source fingerprint (SHA-256):** `4361b6630ab1833e035d6ab04a130fb36fff33cddc36b54ff5a2d8e04534a555`
+**Source fingerprint (SHA-256):** `1b22529602e3aca816b583158c4bb5aa51de3478ac8068c2a69a3392fb12746f`
diff --git a/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md b/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md
index 65a8acca1..124163cf1 100644
--- a/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md
+++ b/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md
@@ -21,4 +21,4 @@ The ChromaRadianceOptions node allows you to configure advanced settings for the
| `model` | MODEL | The modified model with Chroma Radiance options applied |
---
-**Source fingerprint (SHA-256):** `b49a12e9aba59e4669c59e05a6aeff6d4ae5a4b656ca5b0de4bdf71291dca095`
+**Source fingerprint (SHA-256):** `34e17791e3675c59b4a15b007e853eedcfa0cbbb975fb2f5e71d1115eb2b8781`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/ar.md b/comfyui_embedded_docs/docs/ClaudeNode/ar.md
new file mode 100644
index 000000000..9c8a94bd5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/ar.md
@@ -0,0 +1,30 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ar.md)
+
+# نظرة عامة
+
+توليد استجابات نصية من نموذج Claude من Anthropic. ترسل هذه العقدة مطالبة نصية وصورًا اختيارية إلى نموذج Claude وتعيد الاستجابة النصية المُنشأة.
+
+# المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | نعم | غير متاح | الإدخال النصي للنموذج. (القيمة الافتراضية: سلسلة فارغة) |
+| `model` | COMBO | نعم | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | نموذج Claude المستخدم لتوليد الاستجابة. |
+| `seed` | INT | نعم | 0 إلى 2147483647 | تتحكم البذرة في ما إذا كانت العقدة ستعيد التشغيل؛ النتائج غير حتمية بغض النظر عن البذرة. (القيمة الافتراضية: 0) |
+| `images` | IMAGE | لا | 0 إلى 20 صورة | صورة (صور) اختيارية لاستخدامها كسياق للنموذج. حتى 20 صورة. |
+| `system_prompt` | STRING | لا | غير متاح | تعليمات أساسية تحدد سلوك النموذج. (القيمة الافتراضية: سلسلة فارغة) |
+
+## قيود المعاملات
+
+- **حد الصور**: يمكن تقديم 20 صورة كحد أقصى لكل طلب.
+- **معالجة درجة الحرارة**: عند تمكين التفكير أو عند استخدام نموذج "Opus 4.7"، يتم إلغاء تعيين معامل درجة الحرارة تلقائيًا (القيمة الافتراضية 1.0) كما هو مطلوب بواسطة واجهة برمجة تطبيقات Anthropic. بالنسبة للنماذج الأخرى، يمكن ضبط درجة الحرارة عبر تكوين النموذج.
+- **التفكير/الاستدلال**: يتضمن تكوين النموذج إعداد `reasoning_effort` الذي يتحكم في تمكين التفكير. عند التمكين، تقوم العقدة تلقائيًا بتكوين وضع التفكير المناسب (تكيفي أو قائم على الميزانية) اعتمادًا على النموذج المحدد.
+
+# المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `output` | STRING | الاستجابة النصية المُنشأة من نموذج Claude. تُرجع "استجابة فارغة من نموذج Claude." إذا لم يتم توليد نص. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/en.md b/comfyui_embedded_docs/docs/ClaudeNode/en.md
new file mode 100644
index 000000000..030bb0887
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/en.md
@@ -0,0 +1,30 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/en.md)
+
+## Overview
+
+Generate text responses from an Anthropic Claude model. This node sends a text prompt and optional images to a Claude model and returns the generated text response.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Yes | N/A | Text input to the model. (default: empty string) |
+| `model` | COMBO | Yes | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | The Claude model used to generate the response. |
+| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) |
+| `images` | IMAGE | No | 0 to 20 images | Optional image(s) to use as context for the model. Up to 20 images. |
+| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: empty string) |
+
+### Parameter Constraints
+
+- **Image Limit**: A maximum of 20 images can be provided per request.
+- **Temperature Handling**: When thinking is enabled or when using the "Opus 4.7" model, the temperature parameter is automatically unset (defaults to 1.0) as required by the Anthropic API. For other models, temperature can be set via the model configuration.
+- **Thinking/Reasoning**: The model configuration includes a `reasoning_effort` setting that controls whether thinking is enabled. When enabled, the node automatically configures the appropriate thinking mode (adaptive or budget-based) depending on the selected model.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `output` | STRING | The generated text response from the Claude model. Returns "Empty response from Claude model." if no text is generated. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/es.md b/comfyui_embedded_docs/docs/ClaudeNode/es.md
new file mode 100644
index 000000000..a016e3968
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/es.md
@@ -0,0 +1,30 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/es.md)
+
+# Resumen
+
+Genera respuestas de texto a partir de un modelo Anthropic Claude. Este nodo envía un mensaje de texto e imágenes opcionales a un modelo Claude y devuelve la respuesta de texto generada.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `prompt` | STRING | Sí | N/A | Entrada de texto para el modelo. (valor predeterminado: cadena vacía) |
+| `model` | COMBO | Sí | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | El modelo Claude utilizado para generar la respuesta. |
+| `seed` | INT | Sí | 0 a 2147483647 | La semilla controla si el nodo debe re-ejecutarse; los resultados no son deterministas independientemente de la semilla. (valor predeterminado: 0) |
+| `images` | IMAGE | No | 0 a 20 imágenes | Imagen(es) opcional(es) para usar como contexto del modelo. Hasta 20 imágenes. |
+| `system_prompt` | STRING | No | N/A | Instrucciones fundamentales que determinan el comportamiento del modelo. (valor predeterminado: cadena vacía) |
+
+### Restricciones de Parámetros
+
+- **Límite de Imágenes**: Se puede proporcionar un máximo de 20 imágenes por solicitud.
+- **Manejo de Temperatura**: Cuando el pensamiento está habilitado o al usar el modelo "Opus 4.7", el parámetro de temperatura se desactiva automáticamente (valor predeterminado 1.0) según lo requiere la API de Anthropic. Para otros modelos, la temperatura se puede configurar mediante la configuración del modelo.
+- **Pensamiento/Razonamiento**: La configuración del modelo incluye un ajuste `reasoning_effort` que controla si el pensamiento está habilitado. Cuando está habilitado, el nodo configura automáticamente el modo de pensamiento apropiado (adaptativo o basado en presupuesto) dependiendo del modelo seleccionado.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `output` | STRING | La respuesta de texto generada por el modelo Claude. Devuelve "Respuesta vacía del modelo Claude." si no se genera texto. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/fa.md b/comfyui_embedded_docs/docs/ClaudeNode/fa.md
new file mode 100644
index 000000000..d1a001137
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/fa.md
@@ -0,0 +1,30 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/fa.md)
+
+## نمای کلی
+
+متن پاسخ را از یک مدل Anthropic Claude تولید کنید. این گره یک متن درخواست و تصاویر اختیاری را به مدل Claude ارسال کرده و متن پاسخ تولید شده را بازمیگرداند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `پرامپت` | STRING | بله | نامشخص | ورودی متن به مدل. (پیشفرض: رشته خالی) |
+| `مدل` | COMBO | بله | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | مدل Claude مورد استفاده برای تولید پاسخ. |
+| `seed` | INT | بله | 0 تا 2147483647 | دانه (Seed) مشخص میکند که آیا گره باید دوباره اجرا شود؛ نتایج بدون توجه به دانه، قطعی نیستند. (پیشفرض: 0) |
+| `تصاویر` | IMAGE | خیر | 0 تا 20 تصویر | تصویر(های) اختیاری برای استفاده به عنوان زمینه مدل. حداکثر 20 تصویر. |
+| `system_prompt` | STRING | خیر | نامشخص | دستورالعملهای بنیادین که رفتار مدل را تعیین میکنند. (پیشفرض: رشته خالی) |
+
+### محدودیتهای پارامتر
+
+- **محدودیت تصویر**: حداکثر 20 تصویر میتواند در هر درخواست ارائه شود.
+- **مدیریت دما**: هنگامی که تفکر فعال است یا هنگام استفاده از مدل "Opus 4.7"، پارامتر دما به طور خودکار تنظیم نشده (پیشفرض 1.0) مطابق با الزامات API Anthropic باقی میماند. برای سایر مدلها، دما از طریق پیکربندی مدل قابل تنظیم است.
+- **تفکر/استدلال**: پیکربندی مدل شامل یک تنظیم `reasoning_effort` است که تعیین میکند آیا تفکر فعال است یا خیر. هنگامی که فعال باشد، گره به طور خودکار حالت تفکر مناسب (تطبیقی یا مبتنی بر بودجه) را بسته به مدل انتخاب شده پیکربندی میکند.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `output` | STRING | متن پاسخ تولید شده از مدل Claude. اگر متنی تولید نشود، "پاسخ خالی از مدل Claude." را برمیگرداند. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/fr.md b/comfyui_embedded_docs/docs/ClaudeNode/fr.md
new file mode 100644
index 000000000..9c3c985a4
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/fr.md
@@ -0,0 +1,32 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/fr.md)
+
+Voici la traduction en français de la documentation technique du nœud ComfyUI :
+
+## Aperçu
+
+Générer des réponses textuelles à partir d'un modèle Anthropic Claude. Ce nœud envoie une invite textuelle et des images optionnelles à un modèle Claude et renvoie la réponse textuelle générée.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `invite` | STRING | Oui | N/A | Saisie textuelle pour le modèle. (par défaut : chaîne vide) |
+| `modèle` | COMBO | Oui | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | Le modèle Claude utilisé pour générer la réponse. |
+| `graine` | INT | Oui | 0 à 2147483647 | La graine contrôle si le nœud doit se réexécuter ; les résultats sont non déterministes quelle que soit la graine. (par défaut : 0) |
+| `images` | IMAGE | Non | 0 à 20 images | Image(s) optionnelle(s) à utiliser comme contexte pour le modèle. Jusqu'à 20 images. |
+| `invite système` | STRING | Non | N/A | Instructions fondamentales qui dictent le comportement du modèle. (par défaut : chaîne vide) |
+
+### Contraintes des paramètres
+
+- **Limite d'images** : Un maximum de 20 images peut être fourni par requête.
+- **Gestion de la température** : Lorsque la réflexion est activée ou lors de l'utilisation du modèle "Opus 4.7", le paramètre de température est automatiquement désactivé (par défaut à 1.0) comme requis par l'API Anthropic. Pour les autres modèles, la température peut être définie via la configuration du modèle.
+- **Réflexion/Raisonnement** : La configuration du modèle inclut un paramètre `reasoning_effort` qui contrôle si la réflexion est activée. Lorsqu'elle est activée, le nœud configure automatiquement le mode de réflexion approprié (adaptatif ou basé sur un budget) en fonction du modèle sélectionné.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `output` | STRING | La réponse textuelle générée par le modèle Claude. Renvoie "Réponse vide du modèle Claude." si aucun texte n'est généré. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/ja.md b/comfyui_embedded_docs/docs/ClaudeNode/ja.md
new file mode 100644
index 000000000..fd383e455
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/ja.md
@@ -0,0 +1,30 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ja.md)
+
+## 概要
+
+Anthropic Claude モデルからテキスト応答を生成します。このノードはテキストプロンプトとオプションの画像をClaudeモデルに送信し、生成されたテキスト応答を返します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `プロンプト` | STRING | はい | なし | モデルへのテキスト入力。（デフォルト：空文字列） |
+| `モデル` | COMBO | はい | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | 応答生成に使用するClaudeモデル。 |
+| `シード` | INT | はい | 0～2147483647 | シード値はノードを再実行するかどうかを制御します。結果はシード値に関わらず非決定的です。（デフォルト：0） |
+| `画像` | IMAGE | いいえ | 0～20枚の画像 | モデルのコンテキストとして使用するオプションの画像。最大20枚まで指定可能。 |
+| `システムプロンプト` | STRING | いいえ | なし | モデルの動作を指示する基本命令。（デフォルト：空文字列） |
+
+### パラメータ制約
+
+- **画像制限**: 1リクエストあたり最大20枚の画像を提供できます。
+- **温度設定**: 思考モードが有効な場合、または「Opus 4.7」モデルを使用する場合、Anthropic APIの要件により温度パラメータは自動的に未設定（デフォルト1.0）になります。その他のモデルでは、モデル設定を介して温度を設定できます。
+- **思考/推論**: モデル設定には、思考モードを有効にするかどうかを制御する`reasoning_effort`設定が含まれています。有効にすると、ノードは選択されたモデルに応じて適切な思考モード（適応型または予算ベース）を自動的に設定します。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `output` | STRING | Claudeモデルから生成されたテキスト応答。テキストが生成されなかった場合は「Empty response from Claude model.」を返します。 |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/ko.md b/comfyui_embedded_docs/docs/ClaudeNode/ko.md
new file mode 100644
index 000000000..6d9caafbe
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/ko.md
@@ -0,0 +1,30 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ko.md)
+
+# 개요
+
+Anthropic Claude 모델로부터 텍스트 응답을 생성합니다. 이 노드는 텍스트 프롬프트와 선택적 이미지를 Claude 모델에 전송하고 생성된 텍스트 응답을 반환합니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `프롬프트` | STRING | 예 | 해당 없음 | 모델에 입력할 텍스트입니다. (기본값: 빈 문자열) |
+| `모델` | COMBO | 예 | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | 응답을 생성하는 데 사용되는 Claude 모델입니다. |
+| `시드` | INT | 예 | 0 ~ 2147483647 | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) |
+| `이미지` | IMAGE | 아니요 | 0 ~ 20개 이미지 | 모델의 컨텍스트로 사용할 선택적 이미지입니다. 최대 20개까지 가능합니다. |
+| `시스템 프롬프트` | STRING | 아니요 | 해당 없음 | 모델의 동작을 지시하는 기본 명령입니다. (기본값: 빈 문자열) |
+
+## 매개변수 제약 조건
+
+- **이미지 제한**: 요청당 최대 20개의 이미지를 제공할 수 있습니다.
+- **온도(Temperature) 처리**: 사고(Thinking) 기능이 활성화되거나 "Opus 4.7" 모델을 사용하는 경우, Anthropic API 요구 사항에 따라 온도 매개변수가 자동으로 설정 해제됩니다(기본값 1.0). 다른 모델의 경우 모델 구성을 통해 온도를 설정할 수 있습니다.
+- **사고/추론**: 모델 구성에는 사고 기능 활성화를 제어하는 `reasoning_effort` 설정이 포함됩니다. 활성화되면 노드는 선택된 모델에 따라 적응형 또는 예산 기반의 적절한 사고 모드를 자동으로 구성합니다.
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `output` | STRING | Claude 모델에서 생성된 텍스트 응답입니다. 텍스트가 생성되지 않은 경우 "Empty response from Claude model."을 반환합니다. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/pt-BR.md b/comfyui_embedded_docs/docs/ClaudeNode/pt-BR.md
new file mode 100644
index 000000000..db095f2d7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/pt-BR.md
@@ -0,0 +1,30 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/pt-BR.md)
+
+# Visão Geral
+
+Gere respostas de texto a partir de um modelo Anthropic Claude. Este nó envia um prompt de texto e imagens opcionais para um modelo Claude e retorna a resposta de texto gerada.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `prompt` | STRING | Sim | N/A | Entrada de texto para o modelo. (padrão: string vazia) |
+| `modelo` | COMBO | Sim | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | O modelo Claude usado para gerar a resposta. |
+| `seed` | INT | Sim | 0 a 2147483647 | A semente controla se o nó deve ser executado novamente; os resultados são não-determinísticos independentemente da semente. (padrão: 0) |
+| `imagens` | IMAGE | Não | 0 a 20 imagens | Imagem(ns) opcional(is) para usar como contexto para o modelo. Até 20 imagens. |
+| `system_prompt` | STRING | Não | N/A | Instruções fundamentais que determinam o comportamento do modelo. (padrão: string vazia) |
+
+### Restrições dos Parâmetros
+
+- **Limite de Imagens**: No máximo 20 imagens podem ser fornecidas por requisição.
+- **Gerenciamento de Temperatura**: Quando o pensamento está habilitado ou ao usar o modelo "Opus 4.7", o parâmetro de temperatura é automaticamente desabilitado (padrão para 1.0) conforme exigido pela API Anthropic. Para outros modelos, a temperatura pode ser definida através da configuração do modelo.
+- **Pensamento/Raciocínio**: A configuração do modelo inclui uma opção `reasoning_effort` que controla se o pensamento está habilitado. Quando habilitado, o nó configura automaticamente o modo de pensamento apropriado (adaptativo ou baseado em orçamento) dependendo do modelo selecionado.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `output` | STRING | A resposta de texto gerada pelo modelo Claude. Retorna "Resposta vazia do modelo Claude." se nenhum texto for gerado. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/ru.md b/comfyui_embedded_docs/docs/ClaudeNode/ru.md
new file mode 100644
index 000000000..4fd55313a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/ru.md
@@ -0,0 +1,30 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ru.md)
+
+## Обзор
+
+Генерирует текстовые ответы от модели Anthropic Claude. Этот узел отправляет текстовый запрос и опциональные изображения модели Claude и возвращает сгенерированный текстовый ответ.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Да | Н/Д | Текстовый ввод для модели. (по умолчанию: пустая строка) |
+| `model` | COMBO | Да | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | Модель Claude, используемая для генерации ответа. |
+| `seed` | INT | Да | от 0 до 2147483647 | Сид управляет повторным запуском узла; результаты недетерминированы независимо от сида. (по умолчанию: 0) |
+| `images` | IMAGE | Нет | от 0 до 20 изображений | Опциональные изображения для использования в качестве контекста модели. До 20 изображений. |
+| `system_prompt` | STRING | Нет | Н/Д | Базовые инструкции, определяющие поведение модели. (по умолчанию: пустая строка) |
+
+### Ограничения параметров
+
+- **Лимит изображений**: Максимум 20 изображений на один запрос.
+- **Управление температурой**: Когда включено мышление или используется модель "Opus 4.7", параметр температуры автоматически сбрасывается (по умолчанию 1.0) в соответствии с требованиями API Anthropic. Для других моделей температуру можно задать через конфигурацию модели.
+- **Мышление/Рассуждение**: Конфигурация модели включает параметр `reasoning_effort`, управляющий включением мышления. При включении узел автоматически настраивает соответствующий режим мышления (адаптивный или с бюджетом) в зависимости от выбранной модели.
+
+## Выходные данные
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `output` | STRING | Сгенерированный текстовый ответ от модели Claude. Возвращает "Пустой ответ от модели Claude.", если текст не был сгенерирован. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/tr.md b/comfyui_embedded_docs/docs/ClaudeNode/tr.md
new file mode 100644
index 000000000..607d4d449
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/tr.md
@@ -0,0 +1,30 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/tr.md)
+
+## Genel Bakış
+
+Bir Anthropic Claude modelinden metin yanıtları oluşturun. Bu düğüm, bir metin istemi ve isteğe bağlı görselleri bir Claude modeline gönderir ve oluşturulan metin yanıtını döndürür.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `istem` | STRING | Evet | Yok | Modele gönderilecek metin girişi. (varsayılan: boş dize) |
+| `model` | COMBO | Evet | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | Yanıtı oluşturmak için kullanılan Claude modeli. |
+| `tohum` | INT | Evet | 0 ile 2147483647 arası | Tohum, düğümün yeniden çalıştırılıp çalıştırılmayacağını kontrol eder; sonuçlar tohumdan bağımsız olarak deterministik değildir. (varsayılan: 0) |
+| `görseller` | IMAGE | Hayır | 0 ile 20 görsel arası | Model için bağlam olarak kullanılacak isteğe bağlı görsel(ler). En fazla 20 görsel. |
+| `sistem_istemi` | STRING | Hayır | Yok | Modelin davranışını belirleyen temel talimatlar. (varsayılan: boş dize) |
+
+### Parametre Kısıtlamaları
+
+- **Görsel Sınırı**: İstek başına en fazla 20 görsel sağlanabilir.
+- **Sıcaklık (Temperature) Yönetimi**: Düşünme etkinleştirildiğinde veya "Opus 4.7" modeli kullanıldığında, sıcaklık parametresi Anthropic API'sinin gerektirdiği şekilde otomatik olarak ayarlanmaz (varsayılan olarak 1.0 değerine döner). Diğer modeller için sıcaklık, model yapılandırması aracılığıyla ayarlanabilir.
+- **Düşünme/Mantık Yürütme**: Model yapılandırması, düşünmenin etkinleştirilip etkinleştirilmediğini kontrol eden bir `reasoning_effort` ayarı içerir. Etkinleştirildiğinde, düğüm seçilen modele bağlı olarak uygun düşünme modunu (uyarlanabilir veya bütçe tabanlı) otomatik olarak yapılandırır.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `output` | STRING | Claude modelinden oluşturulan metin yanıtı. Hiç metin oluşturulmazsa "Claude modelinden boş yanıt." döndürür. |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/zh-TW.md b/comfyui_embedded_docs/docs/ClaudeNode/zh-TW.md
new file mode 100644
index 000000000..e51063b98
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/zh-TW.md
@@ -0,0 +1,30 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/zh-TW.md)
+
+## 概述
+
+從 Anthropic Claude 模型生成文字回應。此節點將文字提示和可選圖片發送到 Claude 模型，並返回生成的文字回應。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 不適用 | 輸入到模型的文字。（預設：空字串） |
+| `model` | COMBO | 是 | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | 用於生成回應的 Claude 模型。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 種子控制節點是否應重新執行；無論種子為何，結果皆非確定性。（預設：0） |
+| `images` | IMAGE | 否 | 0 到 20 張圖片 | 可選的圖片，作為模型的上下文。最多 20 張圖片。 |
+| `system_prompt` | STRING | 否 | 不適用 | 決定模型行為的基礎指令。（預設：空字串） |
+
+### 參數限制
+
+- **圖片限制**：每次請求最多可提供 20 張圖片。
+- **溫度處理**：當啟用思考功能或使用「Opus 4.7」模型時，溫度參數會自動取消設定（預設為 1.0），這是 Anthropic API 的要求。對於其他模型，可透過模型配置設定溫度。
+- **思考/推理**：模型配置包含一個 `reasoning_effort` 設定，用於控制是否啟用思考功能。啟用時，節點會根據所選模型自動配置適當的思考模式（自適應或基於預算）。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `output` | STRING | 從 Claude 模型生成的文字回應。若未生成文字，則返回「來自 Claude 模型的空回應。」 |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/zh.md b/comfyui_embedded_docs/docs/ClaudeNode/zh.md
new file mode 100644
index 000000000..52a23b46b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ClaudeNode/zh.md
@@ -0,0 +1,30 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/zh.md)
+
+## 概述
+
+从 Anthropic Claude 模型生成文本响应。此节点将文本提示和可选图像发送至 Claude 模型，并返回生成的文本响应。
+
+## 输入
+
+| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 不适用 | 输入到模型的文本。（默认值：空字符串） |
+| `model` | COMBO | 是 | `"Opus 4.7"` `"Opus 4.6"` `"Sonnet 4.6"` `"Sonnet 4.5"` `"Haiku 4.5"` | 用于生成响应的 Claude 模型。 |
+| `seed` | INT | 是 | 0 至 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性。（默认值：0） |
+| `images` | IMAGE | 否 | 0 至 20 张图像 | 用作模型上下文的可选图像。最多 20 张图像。 |
+| `system_prompt` | STRING | 否 | 不适用 | 规定模型行为的基础指令。（默认值：空字符串） |
+
+### 参数约束
+
+- **图像限制**：每次请求最多可提供 20 张图像。
+- **温度处理**：当启用思考功能或使用 "Opus 4.7" 模型时，根据 Anthropic API 的要求，温度参数将自动取消设置（默认为 1.0）。对于其他模型，可通过模型配置设置温度。
+- **思考/推理**：模型配置包含一个 `reasoning_effort` 设置，用于控制是否启用思考功能。启用后，节点会根据所选模型自动配置适当的思考模式（自适应或基于预算）。
+
+## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `output` | STRING | 从 Claude 模型生成的文本响应。如果未生成文本，则返回 "Empty response from Claude model."。 |
+
+---
+**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
diff --git a/comfyui_embedded_docs/docs/ClipSave/en.md b/comfyui_embedded_docs/docs/ClipSave/en.md
index 83c16f082..5c7a6df84 100755
--- a/comfyui_embedded_docs/docs/ClipSave/en.md
+++ b/comfyui_embedded_docs/docs/ClipSave/en.md
@@ -4,12 +4,12 @@ The `CLIPSave` node saves a CLIP text encoder model to disk in SafeTensors forma
## Inputs
-| Parameter | Data Type | Input Type | Default | Range | Description |
-|-----------|-----------|------------|---------|-------|-------------|
-| `clip` | CLIP | Required | - | - | The CLIP model to be saved. |
-| `filename_prefix` | STRING | Required | `clip/ComfyUI` | - | The prefix path and filename for the saved file(s). The node will append a component suffix (e.g., `_clip_l`, `_clip_g`) and a counter to create unique filenames. |
-| `prompt` | PROMPT | Hidden | - | - | The workflow prompt information, saved as metadata in the output file. |
-| `extra_pnginfo` | EXTRA_PNGINFO | Hidden | - | - | Additional metadata, saved as key-value pairs in the output file. |
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `clip` | CLIP | Yes | - | The CLIP model to be saved. |
+| `filename_prefix` | STRING | Yes | - | The prefix path and filename for the saved file(s). The node will append a component suffix (e.g., `_clip_l`, `_clip_g`) and a counter to create unique filenames (default: `clip/ComfyUI`). |
+| `prompt` | PROMPT | No | - | The workflow prompt information, saved as metadata in the output file. This parameter is hidden in the UI. |
+| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional metadata, saved as key-value pairs in the output file. This parameter is hidden in the UI. |
## Outputs
@@ -35,4 +35,4 @@ The node analyzes the CLIP model's state dictionary and saves separate SafeTenso
For each detected component, the node creates a file with the name `{filename_prefix}_{counter:05}_.safetensors`, where the component prefix is appended to the filename prefix (e.g., `clip/ComfyUI_clip_l_00001_.safetensors`). The `transformer.` prefix is removed from parameter keys during saving.
---
-**Source fingerprint (SHA-256):** `039b39cbfb9b04ccebc5fc885ebe75dfde14838530d38133d0a3a6311e392059`
+**Source fingerprint (SHA-256):** `65a5856b0cbf8765b380887741d52af8ad50d2d5d36145c994a8cbf93ebc9807`
diff --git a/comfyui_embedded_docs/docs/ClipTextEncodeFlux/en.md b/comfyui_embedded_docs/docs/ClipTextEncodeFlux/en.md
index cc228e2c9..a6daf0496 100644
--- a/comfyui_embedded_docs/docs/ClipTextEncodeFlux/en.md
+++ b/comfyui_embedded_docs/docs/ClipTextEncodeFlux/en.md
@@ -18,4 +18,4 @@
| `CONDITIONING` | CONDITIONING | Contains the fused embeddings from both encoders and the guidance parameter, used for conditional image generation. |
---
-**Source fingerprint (SHA-256):** `f168610123410a44f9c5c5c18773603bd47bc7b44b21e65910a6026f86d7eb04`
+**Source fingerprint (SHA-256):** `63027b4a7c1868da27fb2644b0d6599d241fa0206a78d169110ce57f0cebf148`
diff --git a/comfyui_embedded_docs/docs/ClipTextEncodeHunyuanDit/en.md b/comfyui_embedded_docs/docs/ClipTextEncodeHunyuanDit/en.md
index b025b999d..7ae2eabe5 100644
--- a/comfyui_embedded_docs/docs/ClipTextEncodeHunyuanDit/en.md
+++ b/comfyui_embedded_docs/docs/ClipTextEncodeHunyuanDit/en.md
@@ -17,4 +17,4 @@ The `CLIPTextEncodeHunyuanDiT` node converts text descriptions into a format tha
| `CONDITIONING` | CONDITIONING | The encoded conditioning output, combining both BERT and mT5-XL tokenized text, used for further processing in generation tasks. |
---
-**Source fingerprint (SHA-256):** `6a8d649708b315c42b7933b52fad7e0b45aa34c168616f18a2178041148eeea1`
+**Source fingerprint (SHA-256):** `bde7c884f72829491090965bd9af34ad59ec326f96e88bb7cdb9ddc47592137e`
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/en.md b/comfyui_embedded_docs/docs/ColorToRGBInt/en.md
index 6ed9a393c..600515b3f 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/en.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/en.md
@@ -1,14 +1,14 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md)
-The ColorToRGBInt node converts a color specified in a hexadecimal format into a single integer value. It takes a color string like `#FF5733` and calculates the corresponding RGB integer by combining the red, green, and blue components.
+The **ColorToRGBInt** node converts a color specified in hexadecimal format (like `#FF5733`) into a single integer value. It takes the red, green, and blue components from the color string and combines them into one RGB integer.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `color` | STRING | Yes | N/A | A color value in the hexadecimal format `#RRGGBB`. |
+| `color` | STRING | Yes | N/A | A color value in the hexadecimal format `#RRGGBB`. Must be exactly 7 characters long and start with `#`. |
-**Note:** The input `color` string must be exactly 7 characters long and start with a `#` symbol, followed by six hexadecimal digits (e.g., `#FF0000` for red). The node will raise an error if the format is incorrect.
+**Note:** The input `color` string must follow the format `#RRGGBB` exactly. If the string is not 7 characters long or does not start with `#`, the node will raise an error.
## Outputs
@@ -17,4 +17,4 @@ The ColorToRGBInt node converts a color specified in a hexadecimal format into a
| `rgb_int` | INT | The calculated RGB integer value. This is derived from the formula: `(Red * 65536) + (Green * 256) + Blue`. |
---
-**Source fingerprint (SHA-256):** `5b8617d6b28caaa5f01dad1c6a302fa321f1bd53a0454451d468e36747e70e8f`
+**Source fingerprint (SHA-256):** `afbbdddb59eddf9e2cc8ab51765affff1676a589c2a2989ff90038ad0119dc9f`
diff --git a/comfyui_embedded_docs/docs/ColorTransfer/en.md b/comfyui_embedded_docs/docs/ColorTransfer/en.md
index f0f63163b..c66f0a251 100644
--- a/comfyui_embedded_docs/docs/ColorTransfer/en.md
+++ b/comfyui_embedded_docs/docs/ColorTransfer/en.md
@@ -31,4 +31,4 @@ The ColorTransfer node adjusts the color palette of a target image to match the
| `image` | IMAGE | The resulting image(s) after the color transfer has been applied. |
---
-**Source fingerprint (SHA-256):** `93a8447def4d2263a8a859c0474de694e6567dc6d32377032c2ddae2420bb10c`
+**Source fingerprint (SHA-256):** `f844af34ac6129c7751953c48e2d12aa0d2c556937e610f649f3eb2725955711`
diff --git a/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md b/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md
index e4058b2e8..5ea7d56ad 100644
--- a/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md
+++ b/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md
@@ -17,4 +17,4 @@ The ComboOptionTestNode is a logic node designed to test and pass through combo
| `output_2` | COMBO | Outputs the value selected from the second combo box (`combo2`). |
---
-**Source fingerprint (SHA-256):** `2f5a73eb7c2962a983b12688159e52d4d05f569d67909f536956ab18a6cc87d7`
+**Source fingerprint (SHA-256):** `efa45d1310ff9c623afb858b6f561739c3d7ee9fc84b57c64746693a27906bec`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/ar.md b/comfyui_embedded_docs/docs/ComfyAndNode/ar.md
new file mode 100644
index 000000000..7325d71dc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/ar.md
@@ -0,0 +1,22 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ar.md)
+
+## نظرة عامة
+
+تقوم عقدة "و" (And) بإجراء عملية "و" المنطقية على مجموعة من قيم الإدخال. تُرجع القيمة `true` فقط إذا كانت جميع القيم المقدمة تُعتبر "صادقة" وفقًا لقواعد الصدق في بايثون. هذه العقدة مفيدة للتحقق من استيفاء شروط متعددة قبل المتابعة.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `values` | أي | نعم | قيمة واحدة أو أكثر | قائمة بالقيم المراد تقييمها. تقبل العقدة قيمة واحدة على الأقل، ويمكنك إضافة المزيد بالنقر على زر "+" في العقدة. |
+
+**ملاحظة:** تستخدم العقدة قواعد الصدق في بايثون لتحديد ما إذا كانت القيمة `true` أم `false`. على سبيل المثال، السلسلة الفارغة، الرقم 0، القائمة الفارغة، والقيمة `None` تُعتبر جميعها `false`. أما جميع القيم الأخرى فتُعتبر `true`.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `BOOLEAN` | منطقي | تُرجع `true` إذا كانت جميع قيم الإدخال صادقة، وإلا تُرجع `false`. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/en.md b/comfyui_embedded_docs/docs/ComfyAndNode/en.md
new file mode 100644
index 000000000..02daaf2ec
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/en.md
@@ -0,0 +1,22 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/en.md)
+
+## Overview
+
+The And node performs a logical AND operation on a set of input values. It returns `true` only if all of the provided values are considered truthy according to Python's truthiness rules. This node is useful for checking that multiple conditions are all met before proceeding.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | Yes | 1 or more values | A list of values to evaluate. The node accepts at least one value, and you can add more by clicking the "+" button on the node. |
+
+**Note:** The node uses Python's truthiness rules to determine if a value is `true` or `false`. For example, an empty string, the number 0, an empty list, and `None` are all considered `false`. All other values are considered `true`.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | Returns `true` if all input values are truthy, otherwise returns `false`. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/es.md b/comfyui_embedded_docs/docs/ComfyAndNode/es.md
new file mode 100644
index 000000000..c03694a8c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/es.md
@@ -0,0 +1,22 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/es.md)
+
+# Descripción General
+
+El nodo Y realiza una operación lógica AND sobre un conjunto de valores de entrada. Devuelve `true` solo si todos los valores proporcionados se consideran verdaderos según las reglas de veracidad de Python. Este nodo es útil para verificar que se cumplan múltiples condiciones antes de continuar.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `values` | ANY | Sí | 1 o más valores | Una lista de valores a evaluar. El nodo acepta al menos un valor, y puedes agregar más haciendo clic en el botón "+" del nodo. |
+
+**Nota:** El nodo utiliza las reglas de veracidad de Python para determinar si un valor es `true` o `false`. Por ejemplo, una cadena vacía, el número 0, una lista vacía y `None` se consideran `false`. Todos los demás valores se consideran `true`.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `BOOLEAN` | BOOLEAN | Devuelve `true` si todos los valores de entrada son verdaderos, de lo contrario devuelve `false`. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/fa.md b/comfyui_embedded_docs/docs/ComfyAndNode/fa.md
new file mode 100644
index 000000000..5dc19b3c3
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/fa.md
@@ -0,0 +1,22 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/fa.md)
+
+### مرور کلی
+
+گره «و» (And) یک عملیات منطقی «و» را روی مجموعهای از مقادیر ورودی انجام میدهد. این گره تنها زمانی `true` (درست) را برمیگرداند که تمام مقادیر ارائهشده بر اساس قوانین «truthiness» پایتون، truthy (درستنما) در نظر گرفته شوند. این گره برای بررسی این که چندین شرط همگی پیش از ادامه، برقرار هستند، مفید است.
+
+### ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | بله | ۱ مقدار یا بیشتر | فهرستی از مقادیر برای ارزیابی. گره حداقل یک مقدار را میپذیرد و میتوانید با کلیک روی دکمه «+» روی گره، مقادیر بیشتری اضافه کنید. |
+
+**توجه:** گره از قوانین truthiness پایتون برای تعیین این که یک مقدار `true` (درست) است یا `false` (نادرست) استفاده میکند. برای مثال، یک رشته خالی، عدد ۰، یک لیست خالی و `None` همگی `false` (نادرست) در نظر گرفته میشوند. تمام مقادیر دیگر `true` (درست) در نظر گرفته میشوند.
+
+### خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | اگر تمام مقادیر ورودی truthy (درستنما) باشند، `true` (درست) و در غیر این صورت `false` (نادرست) را برمیگرداند. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/fr.md b/comfyui_embedded_docs/docs/ComfyAndNode/fr.md
new file mode 100644
index 000000000..c64b8ef5d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/fr.md
@@ -0,0 +1,24 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI :
+
+## Aperçu
+
+Le nœud Et effectue une opération logique ET sur un ensemble de valeurs d'entrée. Il renvoie `true` uniquement si toutes les valeurs fournies sont considérées comme vraies selon les règles de vérité de Python. Ce nœud est utile pour vérifier que plusieurs conditions sont toutes remplies avant de poursuivre.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `values` | ANY | Oui | 1 valeur ou plus | Une liste de valeurs à évaluer. Le nœud accepte au moins une valeur, et vous pouvez en ajouter d'autres en cliquant sur le bouton "+" du nœud. |
+
+**Remarque :** Le nœud utilise les règles de vérité de Python pour déterminer si une valeur est `true` ou `false`. Par exemple, une chaîne vide, le nombre 0, une liste vide et `None` sont tous considérés comme `false`. Toutes les autres valeurs sont considérées comme `true`.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `BOOLEAN` | BOOLEAN | Renvoie `true` si toutes les valeurs d'entrée sont vraies, sinon renvoie `false`. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/ja.md b/comfyui_embedded_docs/docs/ComfyAndNode/ja.md
new file mode 100644
index 000000000..48ae4155c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/ja.md
@@ -0,0 +1,22 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ja.md)
+
+## 概要
+
+Andノードは、一連の入力値に対して論理AND演算を実行します。提供されたすべての値がPythonの真偽値ルールに従って真とみなされる場合にのみ、`true`を返します。このノードは、複数の条件がすべて満たされていることを確認してから処理を進める場合に便利です。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | はい | 1つ以上の値 | 評価する値のリストです。ノードは少なくとも1つの値を受け付け、ノード上の「+」ボタンをクリックすることでさらに値を追加できます。 |
+
+**注意：** ノードはPythonの真偽値ルールを使用して、値が`true`か`false`かを判断します。例えば、空の文字列、数値の0、空のリスト、`None`はすべて`false`とみなされます。これら以外の値はすべて`true`とみなされます。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | すべての入力値が真の場合に`true`を返し、それ以外の場合は`false`を返します。 |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/ko.md b/comfyui_embedded_docs/docs/ComfyAndNode/ko.md
new file mode 100644
index 000000000..d77de5af9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/ko.md
@@ -0,0 +1,22 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ko.md)
+
+## 개요
+
+And 노드는 입력 값 집합에 대해 논리적 AND 연산을 수행합니다. 제공된 모든 값이 Python의 참값 규칙에 따라 참으로 간주되는 경우에만 `true`를 반환합니다. 이 노드는 여러 조건이 모두 충족되었는지 확인해야 할 때 유용합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | 예 | 1개 이상의 값 | 평가할 값 목록입니다. 노드는 최소 하나의 값을 허용하며, 노드의 "+" 버튼을 클릭하여 값을 추가할 수 있습니다. |
+
+**참고:** 노드는 Python의 참값 규칙을 사용하여 값이 `true`인지 `false`인지 판단합니다. 예를 들어, 빈 문자열, 숫자 0, 빈 목록, `None`은 모두 `false`로 간주됩니다. 그 외의 모든 값은 `true`로 간주됩니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-----------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 모든 입력 값이 참이면 `true`를 반환하고, 그렇지 않으면 `false`를 반환합니다. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/pt-BR.md b/comfyui_embedded_docs/docs/ComfyAndNode/pt-BR.md
new file mode 100644
index 000000000..9cae73531
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/pt-BR.md
@@ -0,0 +1,24 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/en.md)
+
+## Visão Geral
+
+O nó And realiza uma operação lógica E em um conjunto de valores de entrada. Ele retorna `true` somente se todos os valores fornecidos forem considerados verdadeiros de acordo com as regras de veracidade do Python. Este nó é útil para verificar se múltiplas condições são todas atendidas antes de prosseguir.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Intervalo | Descrição |
+|-----------|--------------|-------------|-----------|-----------|
+| `values` | ANY | Sim | 1 ou mais valores | Uma lista de valores a serem avaliados. O nó aceita pelo menos um valor, e você pode adicionar mais clicando no botão "+" no nó. |
+
+**Nota:** O nó utiliza as regras de veracidade do Python para determinar se um valor é `true` ou `false`. Por exemplo, uma string vazia, o número 0, uma lista vazia e `None` são todos considerados `false`. Todos os outros valores são considerados `true`.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `BOOLEAN` | BOOLEAN | Retorna `true` se todos os valores de entrada forem verdadeiros, caso contrário retorna `false`. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/ru.md b/comfyui_embedded_docs/docs/ComfyAndNode/ru.md
new file mode 100644
index 000000000..14e8afdcf
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/ru.md
@@ -0,0 +1,22 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ru.md)
+
+## Обзор
+
+Узел And выполняет логическую операцию И над набором входных значений. Он возвращает `true` только в том случае, если все предоставленные значения считаются истинными согласно правилам истинности Python. Этот узел полезен для проверки выполнения нескольких условий перед продолжением работы.
+
+## Входы
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `values` | ANY | Да | 1 или более значений | Список значений для оценки. Узел принимает как минимум одно значение, и вы можете добавить больше, нажав кнопку "+" на узле. |
+
+**Примечание:** Узел использует правила истинности Python для определения, является ли значение `true` или `false`. Например, пустая строка, число 0, пустой список и `None` считаются `false`. Все остальные значения считаются `true`.
+
+## Выходы
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `BOOLEAN` | BOOLEAN | Возвращает `true`, если все входные значения истинны, в противном случае возвращает `false`. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/tr.md b/comfyui_embedded_docs/docs/ComfyAndNode/tr.md
new file mode 100644
index 000000000..94c24af87
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/tr.md
@@ -0,0 +1,22 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/tr.md)
+
+## Genel Bakış
+
+Ve düğümü, bir dizi girdi değeri üzerinde mantıksal VE işlemi gerçekleştirir. Python'un doğruluk kurallarına göre, yalnızca sağlanan tüm değerler doğru (truthy) olarak kabul edilirse `true` döndürür. Bu düğüm, devam etmeden önce birden çok koşulun tamamının karşılandığını kontrol etmek için kullanışlıdır.
+
+## Girdiler
+
+| Parametre | Veri Türü | Gerekli | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | Evet | 1 veya daha fazla değer | Değerlendirilecek değerlerin listesi. Düğüm en az bir değer kabul eder ve düğüm üzerindeki "+" düğmesine tıklayarak daha fazla değer ekleyebilirsiniz. |
+
+**Not:** Düğüm, bir değerin `true` veya `false` olup olmadığını belirlemek için Python'un doğruluk kurallarını kullanır. Örneğin, boş bir dize, 0 sayısı, boş bir liste ve `None` değerinin tümü `false` olarak kabul edilir. Diğer tüm değerler `true` olarak kabul edilir.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | Tüm girdi değerleri doğru (truthy) ise `true`, aksi takdirde `false` döndürür. |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/zh-TW.md b/comfyui_embedded_docs/docs/ComfyAndNode/zh-TW.md
new file mode 100644
index 000000000..70646bdc6
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/zh-TW.md
@@ -0,0 +1,22 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/zh-TW.md)
+
+## 概述
+
+And 節點對一組輸入值執行邏輯 AND 運算。僅當所有提供的值根據 Python 的真值規則都被視為真值時，才會回傳 `true`。此節點適用於在繼續執行前檢查多個條件是否全部滿足。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | 是 | 1 個或多個值 | 要評估的值列表。此節點至少接受一個值，您可以透過點擊節點上的「+」按鈕來新增更多值。 |
+
+**注意：** 此節點使用 Python 的真值規則來判斷值為 `true` 或 `false`。例如，空字串、數字 0、空列表和 `None` 都被視為 `false`。所有其他值都被視為 `true`。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 如果所有輸入值皆為真值則回傳 `true`，否則回傳 `false`。 |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyAndNode/zh.md b/comfyui_embedded_docs/docs/ComfyAndNode/zh.md
new file mode 100644
index 000000000..1afc97616
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyAndNode/zh.md
@@ -0,0 +1,22 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/zh.md)
+
+## ## 概述
+
+And 节点对一组输入值执行逻辑与运算。仅当所有提供的值根据 Python 的真值规则均被视为真值时，才返回 `true`。此节点适用于在继续操作前检查多个条件是否全部满足。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `values` | ANY | 是 | 1 个或多个值 | 待评估的值列表。该节点至少接受一个值，您可以通过点击节点上的“+”按钮添加更多值。 |
+
+**注意：** 该节点使用 Python 的真值规则来判断值是 `true` 还是 `false`。例如，空字符串、数字 0、空列表和 `None` 均被视为 `false`，其他所有值均被视为 `true`。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 如果所有输入值均为真值则返回 `true`，否则返回 `false`。 |
+
+---
+**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4`
diff --git a/comfyui_embedded_docs/docs/ComfyMathExpression/en.md b/comfyui_embedded_docs/docs/ComfyMathExpression/en.md
index fc0c8e3fc..e3528b163 100644
--- a/comfyui_embedded_docs/docs/ComfyMathExpression/en.md
+++ b/comfyui_embedded_docs/docs/ComfyMathExpression/en.md
@@ -7,12 +7,13 @@ The ComfyMathExpression node evaluates a mathematical formula using a set of inp
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `expression` | STRING | Yes | N/A | The mathematical formula to evaluate. You can use variable names that correspond to the input values (default: "a + b"). |
-| `values` | FLOAT, INT, BOOLEAN | No | N/A | A set of numeric or boolean inputs that can be dynamically added. Each input is assigned a letter from the alphabet (a, b, c, ...) to be used as a variable in the expression. |
+| `values` | FLOAT, INT, BOOLEAN | No | N/A | A set of numeric or boolean inputs that can be dynamically added. Each input is assigned a letter from the alphabet (a, b, c, ...) to be used as a variable in the expression. At least one input value is required. |
**Parameter Constraints:**
* The `expression` parameter cannot be empty or contain only whitespace.
* The expression must evaluate to a finite numeric result (INT or FLOAT). Boolean or other non-numeric results will cause an error.
* The input values for the `values` parameter can be numbers (INT or FLOAT) or boolean values (TRUE/FALSE).
+* At least one input value must be provided in the `values` group.
## Outputs
@@ -23,4 +24,4 @@ The ComfyMathExpression node evaluates a mathematical formula using a set of inp
| `BOOL` | BOOLEAN | The result of the mathematical expression as a boolean value. |
---
-**Source fingerprint (SHA-256):** `962f82684d9dc58a67a57e6738d6d2ed457d7f30288cedb21fd46b5c655c1708`
+**Source fingerprint (SHA-256):** `bf6221a7e1e955bdb56482de0a86a782494b2775fdd2edfde9fd20a9df0fe1a7`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/ar.md b/comfyui_embedded_docs/docs/ComfyNotNode/ar.md
new file mode 100644
index 000000000..ac22c8aa3
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/ar.md
@@ -0,0 +1,20 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ar.md)
+
+## نظرة عامة
+
+تقوم عقدة NOT بإجراء عملية النفي المنطقي على أي قيمة مدخلة. تُرجع القيمة True إذا كانت القيمة المدخلة تُعتبر خاطئة (مثل 0، سلسلة فارغة، None، False)، وتُرجع False إذا كانت القيمة المدخلة صحيحة. تستخدم القواعد القياسية للغة Python لتحديد الصحة المنطقية.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|---------------|--------|---------|-------|
+| `value` | ANY | نعم | أي قيمة | القيمة المدخلة المراد عكسها. يتم قبول أي نوع بيانات وتقييمه باستخدام قواعد الصحة المنطقية في Python. |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|-------|
+| `output` | BOOLEAN | المعكوس المنطقي للقيمة المدخلة. تُرجع True إذا كانت المدخلات خاطئة، وFalse إذا كانت المدخلات صحيحة. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/en.md b/comfyui_embedded_docs/docs/ComfyNotNode/en.md
new file mode 100644
index 000000000..3bf55b89f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/en.md
@@ -0,0 +1,20 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/en.md)
+
+## Overview
+
+The Not node performs a logical NOT operation on any input value. It returns True if the input value is considered falsy (like 0, empty string, None, False), and returns False if the input value is truthy. It uses Python's standard rules for determining truthiness.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | Yes | Any value | The input value to be inverted. Any data type is accepted and evaluated using Python's truthiness rules. |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `output` | BOOLEAN | The logical inverse of the input value. Returns True if the input is falsy, False if the input is truthy. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/es.md b/comfyui_embedded_docs/docs/ComfyNotNode/es.md
new file mode 100644
index 000000000..2d312cd2f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/es.md
@@ -0,0 +1,20 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/es.md)
+
+## Descripción general
+
+El nodo Not realiza una operación lógica NOT sobre cualquier valor de entrada. Devuelve True si el valor de entrada se considera falso (como 0, cadena vacía, None, False), y devuelve False si el valor de entrada es verdadero. Utiliza las reglas estándar de Python para determinar la veracidad.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `value` | ANY | Sí | Cualquier valor | El valor de entrada que se va a invertir. Se acepta cualquier tipo de dato y se evalúa utilizando las reglas de veracidad de Python. |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `output` | BOOLEAN | El inverso lógico del valor de entrada. Devuelve True si la entrada es falsa, False si la entrada es verdadera. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/fa.md b/comfyui_embedded_docs/docs/ComfyNotNode/fa.md
new file mode 100644
index 000000000..cf57f3dea
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/fa.md
@@ -0,0 +1,20 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/fa.md)
+
+## مرور کلی
+
+گره Not عملیات منطقی NOT را بر روی هر مقدار ورودی انجام میدهد. اگر مقدار ورودی falsy در نظر گرفته شود (مانند 0، رشته خالی، None، False)، مقدار True و اگر مقدار ورودی truthy باشد، مقدار False را برمیگرداند. این گره از قوانین استاندارد پایتون برای تعیین truthiness استفاده میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | اجباری | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | بله | هر مقداری | مقدار ورودی که معکوس میشود. هر نوع دادهای پذیرفته شده و با استفاده از قوانین truthiness پایتون ارزیابی میشود. |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `output` | BOOLEAN | معکوس منطقی مقدار ورودی. اگر ورودی falsy باشد True و اگر ورودی truthy باشد False را برمیگرداند. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/fr.md b/comfyui_embedded_docs/docs/ComfyNotNode/fr.md
new file mode 100644
index 000000000..b590d1249
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/fr.md
@@ -0,0 +1,20 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/fr.md)
+
+## Aperçu
+
+Le nœud Not effectue une opération logique NON sur n'importe quelle valeur d'entrée. Il renvoie Vrai si la valeur d'entrée est considérée comme fausse (comme 0, chaîne vide, None, Faux), et renvoie Faux si la valeur d'entrée est vraie. Il utilise les règles standard de Python pour déterminer la véracité.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `value` | ANY | Oui | Toute valeur | La valeur d'entrée à inverser. Tout type de données est accepté et évalué selon les règles de véracité de Python. |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `output` | BOOLEAN | L'inverse logique de la valeur d'entrée. Renvoie Vrai si l'entrée est fausse, Faux si l'entrée est vraie. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/ja.md b/comfyui_embedded_docs/docs/ComfyNotNode/ja.md
new file mode 100644
index 000000000..1b5ccca39
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/ja.md
@@ -0,0 +1,22 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ja.md)
+
+以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。
+
+## 概要
+
+Not ノードは、任意の入力値に対して論理否定（NOT）演算を実行します。入力値が偽とみなされる場合（0、空文字列、None、False など）は True を返し、入力値が真とみなされる場合は False を返します。真偽値の判定には Python の標準ルールが使用されます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|----------|------|-------|------|
+| `value` | ANY | はい | 任意の値 | 否定される入力値です。あらゆるデータ型を受け入れ、Python の真偽値ルールに基づいて評価されます。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|---------|----------|------|
+| `output` | BOOLEAN | 入力値の論理否定を返します。入力が偽の場合は True、入力が真の場合は False を返します。 |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/ko.md b/comfyui_embedded_docs/docs/ComfyNotNode/ko.md
new file mode 100644
index 000000000..78b0e8270
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/ko.md
@@ -0,0 +1,20 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ko.md)
+
+## 개요
+
+Not 노드는 입력된 모든 값에 대해 논리적 NOT 연산을 수행합니다. 입력 값이 거짓으로 간주되는 경우(예: 0, 빈 문자열, None, False) True를 반환하고, 입력 값이 참으로 간주되는 경우 False를 반환합니다. 진리값 판별에는 Python의 표준 규칙이 사용됩니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | 예 | 모든 값 | 반전시킬 입력 값입니다. 모든 데이터 타입을 허용하며 Python의 진리값 규칙을 사용하여 평가됩니다. |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `output` | BOOLEAN | 입력 값의 논리적 역입니다. 입력이 거짓이면 True를, 입력이 참이면 False를 반환합니다. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/pt-BR.md b/comfyui_embedded_docs/docs/ComfyNotNode/pt-BR.md
new file mode 100644
index 000000000..4fb778d6d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/pt-BR.md
@@ -0,0 +1,20 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/pt-BR.md)
+
+## Visão Geral
+
+O nó Not realiza uma operação lógica de negação (NOT) em qualquer valor de entrada. Ele retorna Verdadeiro (True) se o valor de entrada for considerado falso (como 0, string vazia, None, Falso), e retorna Falso (False) se o valor de entrada for verdadeiro. Utiliza as regras padrão do Python para determinar a veracidade.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Intervalo | Descrição |
+|-----------|--------------|-------------|-----------|-----------|
+| `value` | QUALQUER | Sim | Qualquer valor | O valor de entrada a ser invertido. Qualquer tipo de dado é aceito e avaliado usando as regras de veracidade do Python. |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `output` | BOOLEANO | O inverso lógico do valor de entrada. Retorna Verdadeiro se a entrada for falsa, Falso se a entrada for verdadeira. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/ru.md b/comfyui_embedded_docs/docs/ComfyNotNode/ru.md
new file mode 100644
index 000000000..726584af8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/ru.md
@@ -0,0 +1,20 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ru.md)
+
+## Обзор
+
+Узел Not выполняет логическую операцию НЕ (NOT) над любым входным значением. Он возвращает True, если входное значение считается ложным (например, 0, пустая строка, None, False), и возвращает False, если входное значение является истинным. Для определения истинности используются стандартные правила Python.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `value` | ANY | Да | Любое значение | Входное значение для инвертирования. Принимается любой тип данных, оценка выполняется по правилам истинности Python. |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `output` | BOOLEAN | Логическая инверсия входного значения. Возвращает True, если входное значение ложно, и False, если входное значение истинно. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/tr.md b/comfyui_embedded_docs/docs/ComfyNotNode/tr.md
new file mode 100644
index 000000000..29dc08287
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/tr.md
@@ -0,0 +1,20 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/tr.md)
+
+## Genel Bakış
+
+Not düğümü, herhangi bir girdi değeri üzerinde mantıksal DEĞİL (NOT) işlemi gerçekleştirir. Girdi değeri yanlış (falsy) olarak kabul ediliyorsa (0, boş dize, None, False gibi) True döndürür, girdi değeri doğru (truthy) ise False döndürür. Doğruluk değerini belirlemek için Python'un standart kurallarını kullanır.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | Evet | Herhangi bir değer | Tersine çevrilecek girdi değeri. Herhangi bir veri türü kabul edilir ve Python'un doğruluk kuralları kullanılarak değerlendirilir. |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `output` | BOOLEAN | Girdi değerinin mantıksal tersi. Girdi yanlış (falsy) ise True, girdi doğru (truthy) ise False döndürür. |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/zh-TW.md b/comfyui_embedded_docs/docs/ComfyNotNode/zh-TW.md
new file mode 100644
index 000000000..d9e957ca1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/zh-TW.md
@@ -0,0 +1,20 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/zh-TW.md)
+
+## 概述
+
+Not 節點對任何輸入值執行邏輯 NOT 運算。如果輸入值被視為假值（例如 0、空字串、None、False），則回傳 True；如果輸入值為真值，則回傳 False。此節點使用 Python 的標準規則來判斷真值。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | 是 | 任何值 | 要進行反轉的輸入值。接受任何資料類型，並使用 Python 的真值規則進行評估。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `output` | BOOLEAN | 輸入值的邏輯反轉。如果輸入為假值則回傳 True，如果輸入為真值則回傳 False。 |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNotNode/zh.md b/comfyui_embedded_docs/docs/ComfyNotNode/zh.md
new file mode 100644
index 000000000..90a49b7bb
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyNotNode/zh.md
@@ -0,0 +1,20 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/zh.md)
+
+## ## 概述
+
+Not 节点对任意输入值执行逻辑非运算。如果输入值被视为假值（例如 0、空字符串、None、False），则返回 True；如果输入值为真值，则返回 False。它使用 Python 的标准规则来判断真值性。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | 是 | 任意值 | 需要取反的输入值。接受任何数据类型，并使用 Python 的真值规则进行评估。 |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `output` | BOOLEAN | 输入值的逻辑取反结果。如果输入为假值则返回 True，如果输入为真值则返回 False。 |
+
+---
+**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877`
diff --git a/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md b/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md
index 7332934ad..02a9d2cd5 100644
--- a/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md
+++ b/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md
@@ -18,4 +18,4 @@ The Number Convert node transforms various input data types into numeric values.
| `INT` | INT | The input value converted to an integer. For float inputs, this performs a truncation. |
---
-**Source fingerprint (SHA-256):** `961fbea05b22c68f768f9ecaae2ee455b1913afe4a65d8c0e6b6497b1e24ce72`
+**Source fingerprint (SHA-256):** `3a5501a3916df827b0376e4ba9c8b9972a91485cca38e067b683bb5f96c1d53c`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/ar.md b/comfyui_embedded_docs/docs/ComfyOrNode/ar.md
new file mode 100644
index 000000000..bff805f32
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/ar.md
@@ -0,0 +1,22 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ar.md)
+
+# ComfyOrNode
+
+تقوم عقدة ComfyOrNode بإجراء عملية OR منطقية على مجموعة من قيم الإدخال. تُرجع القيمة `true` إذا كانت أي من القيم المقدمة تُعتبر "صادقة" وفقًا لقواعد الصدق القياسية في بايثون.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|--------------|--------|--------|-------|
+| `value` | ANY | نعم | يتم قبول قيم متعددة | قيمة يتم تقييمها من حيث الصدق. يمكنك تقديم قيم متعددة عن طريق إضافة المزيد من المدخلات. تُرجع العقدة القيمة `true` إذا كانت أي من هذه القيم صادقة. |
+
+**ملاحظة:** تقبل العقدة حدًا أدنى من قيمة إدخال واحدة. يمكنك إضافة المزيد من المدخلات حسب الحاجة باستخدام ميزة النمو التلقائي.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|------------|--------------|-------|
+| `BOOLEAN` | BOOLEAN | تُرجع القيمة `true` إذا كانت أي من قيم الإدخال صادقة؛ وتُرجع القيمة `false` إذا كانت جميع قيم الإدخال كاذبة. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/en.md b/comfyui_embedded_docs/docs/ComfyOrNode/en.md
new file mode 100644
index 000000000..7ef50ab6c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/en.md
@@ -0,0 +1,22 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/en.md)
+
+# ComfyOrNode
+
+The ComfyOrNode performs a logical OR operation on a set of input values. It returns `true` if any of the provided values are considered truthy according to Python's standard truthiness rules.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | Yes | Multiple values accepted | A value to evaluate for truthiness. You can provide multiple values by adding more inputs. The node returns `true` if any of these values is truthy. |
+
+**Note:** The node accepts a minimum of 1 input value. You can add more inputs as needed using the autogrow feature.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | Returns `true` if any of the input values is truthy; returns `false` if all input values are falsy. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/es.md b/comfyui_embedded_docs/docs/ComfyOrNode/es.md
new file mode 100644
index 000000000..a9e71da57
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/es.md
@@ -0,0 +1,22 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/es.md)
+
+# ComfyOrNode
+
+El nodo ComfyOrNode realiza una operación lógica OR sobre un conjunto de valores de entrada. Devuelve `true` si alguno de los valores proporcionados se considera verdadero según las reglas estándar de veracidad de Python.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `value` | ANY | Sí | Se aceptan múltiples valores | Un valor a evaluar para determinar su veracidad. Puede proporcionar múltiples valores agregando más entradas. El nodo devuelve `true` si alguno de estos valores es verdadero. |
+
+**Nota:** El nodo acepta un mínimo de 1 valor de entrada. Puede agregar más entradas según sea necesario utilizando la función de crecimiento automático.
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `BOOLEAN` | BOOLEAN | Devuelve `true` si alguno de los valores de entrada es verdadero; devuelve `false` si todos los valores de entrada son falsos. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/fa.md b/comfyui_embedded_docs/docs/ComfyOrNode/fa.md
new file mode 100644
index 000000000..c079d4d93
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/fa.md
@@ -0,0 +1,22 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/fa.md)
+
+# ComfyOrNode
+
+گره ComfyOrNode عملیات منطقی OR را روی مجموعهای از مقادیر ورودی انجام میدهد. اگر هر یک از مقادیر ارائهشده بر اساس قوانین استاندارد truthiness پایتون truthy در نظر گرفته شوند، مقدار `true` را برمیگرداند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `value` | ANY | بله | پذیرش چند مقدار | مقداری که برای truthiness ارزیابی میشود. میتوانید با افزودن ورودیهای بیشتر، چندین مقدار ارائه دهید. اگر هر یک از این مقادیر truthy باشد، گره مقدار `true` را برمیگرداند. |
+
+**توجه:** این گره حداقل ۱ مقدار ورودی را میپذیرد. با استفاده از ویژگی رشد خودکار (autogrow) میتوانید در صورت نیاز ورودیهای بیشتری اضافه کنید.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `BOOLEAN` | BOOLEAN | اگر هر یک از مقادیر ورودی truthy باشد، مقدار `true` را برمیگرداند؛ اگر همه مقادیر ورودی falsy باشند، مقدار `false` را برمیگرداند. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/fr.md b/comfyui_embedded_docs/docs/ComfyOrNode/fr.md
new file mode 100644
index 000000000..8ec780a90
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/fr.md
@@ -0,0 +1,22 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/fr.md)
+
+# ComfyOrNode
+
+Le nœud ComfyOrNode effectue une opération logique OU sur un ensemble de valeurs d'entrée. Il renvoie `true` si l'une des valeurs fournies est considérée comme vraie selon les règles standard de vérité de Python.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `value` | ANY | Oui | Valeurs multiples acceptées | Une valeur à évaluer pour sa vérité. Vous pouvez fournir plusieurs valeurs en ajoutant davantage d'entrées. Le nœud renvoie `true` si l'une de ces valeurs est vraie. |
+
+**Remarque :** Le nœud accepte un minimum d'une valeur d'entrée. Vous pouvez ajouter autant d'entrées que nécessaire à l'aide de la fonction d'extension automatique.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `BOOLEAN` | BOOLEAN | Renvoie `true` si l'une des valeurs d'entrée est vraie ; renvoie `false` si toutes les valeurs d'entrée sont fausses. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/ja.md b/comfyui_embedded_docs/docs/ComfyOrNode/ja.md
new file mode 100644
index 000000000..8b6219ce5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/ja.md
@@ -0,0 +1,22 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ja.md)
+
+# ComfyOrNode
+
+ComfyOrNodeは、一連の入力値に対して論理OR演算を実行します。提供された値のいずれかが、Pythonの標準的な真偽値ルールに従って真とみなされる場合、`true`を返します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|----------|------|-------|-------------|
+| `value` | ANY | はい | 複数の値を受け付けます | 真偽値を評価する値です。入力を追加することで複数の値を指定できます。これらの値のいずれかが真の場合、ノードは`true`を返します。 |
+
+**注記：** このノードは最低1つの入力値を受け付けます。自動拡張機能を使用して、必要に応じて入力を追加できます。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 入力値のいずれかが真の場合は`true`を返します。すべての入力値が偽の場合は`false`を返します。 |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/ko.md b/comfyui_embedded_docs/docs/ComfyOrNode/ko.md
new file mode 100644
index 000000000..c68d3455b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/ko.md
@@ -0,0 +1,22 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ko.md)
+
+# ComfyOrNode
+
+ComfyOrNode는 입력 값 집합에 대해 논리적 OR 연산을 수행합니다. 제공된 값 중 하나라도 Python의 표준 진리값 규칙에 따라 참(true)으로 간주되면 `true`를 반환합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | 예 | 여러 값 허용 | 진리값을 평가할 값입니다. 입력을 더 추가하여 여러 값을 제공할 수 있습니다. 이 노드는 이러한 값 중 하나라도 참(true)이면 `true`를 반환합니다. |
+
+**참고:** 이 노드는 최소 1개의 입력 값을 허용합니다. 자동 확장 기능을 사용하여 필요에 따라 더 많은 입력을 추가할 수 있습니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 입력 값 중 하나라도 참(true)이면 `true`를 반환하고, 모든 입력 값이 거짓(false)이면 `false`를 반환합니다. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/pt-BR.md b/comfyui_embedded_docs/docs/ComfyOrNode/pt-BR.md
new file mode 100644
index 000000000..a6c2ea751
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/pt-BR.md
@@ -0,0 +1,24 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/en.md)
+
+# ComfyOrNode
+
+O nó ComfyOrNode realiza uma operação lógica OU em um conjunto de valores de entrada. Ele retorna `true` se qualquer um dos valores fornecidos for considerado verdadeiro de acordo com as regras padrão de veracidade do Python.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `value` | ANY | Sim | Múltiplos valores aceitos | Um valor a ser avaliado quanto à veracidade. Você pode fornecer vários valores adicionando mais entradas. O nó retorna `true` se qualquer um desses valores for verdadeiro. |
+
+**Nota:** O nó aceita no mínimo 1 valor de entrada. Você pode adicionar mais entradas conforme necessário usando o recurso de crescimento automático.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `BOOLEAN` | BOOLEAN | Retorna `true` se qualquer um dos valores de entrada for verdadeiro; retorna `false` se todos os valores de entrada forem falsos. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/ru.md b/comfyui_embedded_docs/docs/ComfyOrNode/ru.md
new file mode 100644
index 000000000..e774b60ad
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/ru.md
@@ -0,0 +1,22 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ru.md)
+
+# ComfyOrNode
+
+Узел ComfyOrNode выполняет логическую операцию ИЛИ над набором входных значений. Он возвращает `true`, если хотя бы одно из предоставленных значений считается истинным в соответствии со стандартными правилами истинности Python.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | Да | Принимается несколько значений | Значение для проверки на истинность. Вы можете предоставить несколько значений, добавляя дополнительные входы. Узел возвращает `true`, если хотя бы одно из этих значений является истинным. |
+
+**Примечание:** Узел принимает минимум 1 входное значение. При необходимости вы можете добавить больше входов с помощью функции авторасширения.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | Возвращает `true`, если хотя бы одно из входных значений является истинным; возвращает `false`, если все входные значения являются ложными. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/tr.md b/comfyui_embedded_docs/docs/ComfyOrNode/tr.md
new file mode 100644
index 000000000..679521fef
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/tr.md
@@ -0,0 +1,22 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/tr.md)
+
+# ComfyOrNode
+
+ComfyOrNode düğümü, bir dizi girdi değeri üzerinde mantıksal VEYA işlemi gerçekleştirir. Python'un standart doğruluk kurallarına göre sağlanan değerlerden herhangi biri doğru (truthy) olarak kabul edilirse `true` döndürür.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|---------|--------|----------|
+| `value` | ANY | Evet | Birden çok değer kabul edilir | Doğruluk değerlendirmesi için bir değer. Daha fazla girdi ekleyerek birden çok değer sağlayabilirsiniz. Bu değerlerden herhangi biri doğru (truthy) ise düğüm `true` döndürür. |
+
+**Not:** Düğüm en az 1 girdi değeri kabul eder. Otomatik büyütme özelliğini kullanarak gerektiği kadar girdi ekleyebilirsiniz.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `BOOLEAN` | BOOLEAN | Girdi değerlerinden herhangi biri doğru (truthy) ise `true` döndürür; tüm girdi değerleri yanlış (falsy) ise `false` döndürür. |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/zh-TW.md b/comfyui_embedded_docs/docs/ComfyOrNode/zh-TW.md
new file mode 100644
index 000000000..631abf372
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/zh-TW.md
@@ -0,0 +1,22 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/zh-TW.md)
+
+## 概述
+
+ComfyOrNode 對一組輸入值執行邏輯 OR 運算。根據 Python 標準的真值規則，如果任何提供的值被視為真值，則返回 `true`。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | 是 | 接受多個值 | 要評估真值的值。您可以透過添加更多輸入來提供多個值。如果這些值中的任何一個為真值，節點將返回 `true`。 |
+
+**注意：** 此節點至少接受 1 個輸入值。您可以使用自動增長功能根據需要添加更多輸入。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 如果任何輸入值為真值，則返回 `true`；如果所有輸入值均為假值，則返回 `false`。 |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfyOrNode/zh.md b/comfyui_embedded_docs/docs/ComfyOrNode/zh.md
new file mode 100644
index 000000000..3bf236e74
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ComfyOrNode/zh.md
@@ -0,0 +1,22 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/zh.md)
+
+# ComfyOrNode
+
+ComfyOrNode 对一组输入值执行逻辑或运算。如果根据 Python 的标准真值规则，提供的任意一个值为真，则返回 `true`。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `value` | ANY | 是 | 接受多个值 | 用于评估真值的值。您可以通过添加更多输入来提供多个值。如果其中任意一个值为真，节点将返回 `true`。 |
+
+**注意：** 该节点至少接受 1 个输入值。您可以根据需要使用自动增长功能添加更多输入。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `BOOLEAN` | BOOLEAN | 如果任意一个输入值为真，则返回 `true`；如果所有输入值均为假，则返回 `false`。 |
+
+---
+**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1`
diff --git a/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md b/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md
index c00562db3..544af677c 100644
--- a/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md
+++ b/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md
@@ -19,4 +19,4 @@ The Soft Switch node selects between two possible input values based on a boolea
| `output` | MATCH_TYPE | The selected value. It will match the data type of the connected `on_false` or `on_true` input. |
---
-**Source fingerprint (SHA-256):** `f5e40e7f43948b81b5442c885c3e1ff15e38f8f7ddda00ef3be42225765bfd1c`
+**Source fingerprint (SHA-256):** `3ddfebaf67642f5bd79b0de38605f93507ede00d95e98cd78ec295f8de98d743`
diff --git a/comfyui_embedded_docs/docs/ComfySwitchNode/en.md b/comfyui_embedded_docs/docs/ComfySwitchNode/en.md
index 8e2663659..27f52f9b3 100644
--- a/comfyui_embedded_docs/docs/ComfySwitchNode/en.md
+++ b/comfyui_embedded_docs/docs/ComfySwitchNode/en.md
@@ -19,4 +19,4 @@ The Switch node selects between two possible inputs based on a boolean condition
| `output` | MATCH_TYPE | The selected data. This will be the value from the `on_true` input if the `switch` is true, or the value from the `on_false` input if the `switch` is false. |
---
-**Source fingerprint (SHA-256):** `9f3cf58c1a04116fa0cbe8007fe3ed90e93c4de2e65f6778761d03fb21a63af3`
+**Source fingerprint (SHA-256):** `6709dc66cf1c52bb31bde2cccd70324691261a03dfbab813b7196e20c0a4cb63`
diff --git a/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md b/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md
index ab4c3ee26..16b3cf6f1 100644
--- a/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md
+++ b/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md
@@ -19,4 +19,4 @@ The ConditioningStableAudio node adds timing information to both positive and ne
| `negative` | CONDITIONING | The modified negative conditioning with audio timing information applied |
---
-**Source fingerprint (SHA-256):** `ad4fdb2ac536e4f9cc23c044a7a63333e3f3530cc782937eaedc1565cc7c5d0e`
+**Source fingerprint (SHA-256):** `16ad6c3f133df718bf05a1e55a2faf0b840570fd42dc177e1474d0d3e4837b79`
diff --git a/comfyui_embedded_docs/docs/ContextWindowsManual/en.md b/comfyui_embedded_docs/docs/ContextWindowsManual/en.md
index 40039d8a4..18ef91965 100644
--- a/comfyui_embedded_docs/docs/ContextWindowsManual/en.md
+++ b/comfyui_embedded_docs/docs/ContextWindowsManual/en.md
@@ -33,4 +33,4 @@ The Context Windows (Manual) node allows you to manually configure context windo
| `model` | MODEL | The model with context windows applied during sampling. |
---
-**Source fingerprint (SHA-256):** `b05ddda0ba38588305e6f733cd218c8b462268c39d16226ca961d09054187261`
+**Source fingerprint (SHA-256):** `1351789e54e6b4013331014a49b98c6f8b79692ddabed7a64eeb7463cda03cc5`
diff --git a/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md b/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md
index 63b59ae14..b7ebfe58e 100644
--- a/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md
+++ b/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md
@@ -25,4 +25,4 @@ This node applies ControlNet guidance to Stable Diffusion 3 conditioning. It tak
| `negative` | CONDITIONING | The modified negative conditioning with ControlNet guidance applied |
---
-**Source fingerprint (SHA-256):** `7bd24b19c159374bc86a773be9b563760bfae7e10d3333596788dbc52ef2f294`
+**Source fingerprint (SHA-256):** `b79f03a85250f8eda6786fbdb6a96712f5fc60c9ede3b073a1cc8aef31a3f6b0`
diff --git a/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md b/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md
index 20b584621..e5a76c990 100644
--- a/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md
+++ b/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md
@@ -26,4 +26,4 @@ The ControlNetInpaintingAliMamaApply node applies ControlNet conditioning for in
| `negative` | CONDITIONING | The modified negative conditioning with ControlNet applied for inpainting |
---
-**Source fingerprint (SHA-256):** `30b49991b5ead039122a282fb48e3ed30477f89ce1430c371529bc42f921020d`
+**Source fingerprint (SHA-256):** `bd44dcff4f0d06b3b81a66dd45ae57e54b72374308f75b3089e50db8de1398cd`
diff --git a/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md b/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md
index c58ca52f3..4a6a1ad3a 100644
--- a/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md
+++ b/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md
@@ -15,4 +15,4 @@ The Convert String to Combo node takes a text string as input and converts it in
| `output` | COMBO | The input string, now formatted as a Combo data type. |
---
-**Source fingerprint (SHA-256):** `37bd7db5a5ce2657db30a3a24da90c1c1e5c4a3f7089b4d03a0528b7770e9fe1`
+**Source fingerprint (SHA-256):** `46ca4f38a4b1054bc6c5ff5c54551fe6c8061cfb8740a3ef46b64a30a05cec05`
diff --git a/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md b/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md
index 353162f3e..7afe01c32 100644
--- a/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md
+++ b/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md
@@ -23,4 +23,4 @@ The CosmosImageToVideoLatent node creates video latent representations from inpu
| `latent` | LATENT | The generated video latent representation with optional encoded images and corresponding noise masks |
---
-**Source fingerprint (SHA-256):** `31ce4dc577c672e0b3dc0bfb6644b2ef7ab737f6c4ee5e0677973b6a4efdd66d`
+**Source fingerprint (SHA-256):** `4fefd1b6c38c93c260ef8376e8d69ba610a556b3c8555863016a1afd45885eaf`
diff --git a/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md b/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md
index 100910c0f..93ec7f8e3 100644
--- a/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md
+++ b/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md
@@ -7,10 +7,10 @@ The CosmosPredict2ImageToVideoLatent node creates video latent representations f
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space |
-| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 848, must be divisible by 16) |
-| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 480, must be divisible by 16) |
-| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 93, step: 4) |
-| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate (default: 1) |
+| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 848, must be divisible by 16) |
+| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 480, must be divisible by 16) |
+| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 93, step: 4) |
+| `batch_size` | INT | Yes | 1 to 4096 | The number of video sequences to generate (default: 1) |
| `start_image` | IMAGE | No | - | Optional starting image for the video sequence |
| `end_image` | IMAGE | No | - | Optional ending image for the video sequence |
@@ -24,4 +24,4 @@ The CosmosPredict2ImageToVideoLatent node creates video latent representations f
| `noise_mask` | LATENT | A mask indicating which parts of the latent should be preserved during generation |
---
-**Source fingerprint (SHA-256):** `55fab16180c0e3fa254bcc77694dbc666810b28522e61b9c613f720fae66bd0c`
+**Source fingerprint (SHA-256):** `5c470c35afaa9b994b431f0a8655e108da420182ec5c223fa54ec2c233ba9fd3`
diff --git a/comfyui_embedded_docs/docs/CreateList/en.md b/comfyui_embedded_docs/docs/CreateList/en.md
index 11b59e1a1..1403034e7 100644
--- a/comfyui_embedded_docs/docs/CreateList/en.md
+++ b/comfyui_embedded_docs/docs/CreateList/en.md
@@ -6,7 +6,7 @@ The Create List node combines multiple inputs into a single, sequential list. It
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `input_*` | Varies | Yes | Any | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). |
+| `inputs` | Varies | Yes | Any | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). |
**Note:** The node will automatically create new input slots as you connect items. All connected inputs must share the same data type for the node to function correctly.
@@ -17,4 +17,4 @@ The Create List node combines multiple inputs into a single, sequential list. It
| `list` | Varies | A single list containing all the items from the connected inputs, concatenated in the order they were provided. The output data type matches the input data type. |
---
-**Source fingerprint (SHA-256):** `d0e10c4d1186e694a72b18407c34cc1df74f77d02c989b507af75594c1a0794e`
+**Source fingerprint (SHA-256):** `54a099948853f76f4f9c9918e4fef8a8eff96ad66d35ab9eeefd2a419670e867`
diff --git a/comfyui_embedded_docs/docs/CreateVideo/en.md b/comfyui_embedded_docs/docs/CreateVideo/en.md
index e37db04d2..a322762a4 100644
--- a/comfyui_embedded_docs/docs/CreateVideo/en.md
+++ b/comfyui_embedded_docs/docs/CreateVideo/en.md
@@ -17,4 +17,4 @@ The Create Video node generates a video file from a sequence of images. You can
| `output` | VIDEO | The generated video file containing the input images and optional audio. |
---
-**Source fingerprint (SHA-256):** `6da9a09542b5e357c0180c30018ec10facf06d1bdd3e4edee8172b8426802e3d`
+**Source fingerprint (SHA-256):** `b3effbbc380a3841ffbedd3c9561e783bc9f9a7887edc8965c38992cb370a812`
diff --git a/comfyui_embedded_docs/docs/CropByBBoxes/en.md b/comfyui_embedded_docs/docs/CropByBBoxes/en.md
index a18dfe435..aebf573a9 100644
--- a/comfyui_embedded_docs/docs/CropByBBoxes/en.md
+++ b/comfyui_embedded_docs/docs/CropByBBoxes/en.md
@@ -22,4 +22,4 @@ The CropByBBoxes node extracts and resizes specific rectangular regions from an
| `image` | IMAGE | All cropped and resized regions, stacked into a single image batch. |
---
-**Source fingerprint (SHA-256):** `9c0b3078405567911731c42e1873c57c77363e21ef6805769730667c811b0a0b`
+**Source fingerprint (SHA-256):** `7524d629e61f5af2475f819bc9431d4f4173feb5ad59f9bcf81d822330fb3e22`
diff --git a/comfyui_embedded_docs/docs/CurveEditor/en.md b/comfyui_embedded_docs/docs/CurveEditor/en.md
index a38a144f9..5f3ece2a8 100644
--- a/comfyui_embedded_docs/docs/CurveEditor/en.md
+++ b/comfyui_embedded_docs/docs/CurveEditor/en.md
@@ -16,4 +16,4 @@ The Curve Editor node provides a visual interface for adjusting and fine-tuning
| `curve` | CURVE | The edited curve after adjustments have been made in the node's interface. |
---
-**Source fingerprint (SHA-256):** `34cf36a5b934c44ebfce0b81e7c515f1b31fb17f3b7e1ad52255d1d72f68240b`
+**Source fingerprint (SHA-256):** `7cd265b724f4b80bd6838b665254b54f1ca16f32ed0b4e072fabf856d769e11c`
diff --git a/comfyui_embedded_docs/docs/CustomCombo/en.md b/comfyui_embedded_docs/docs/CustomCombo/en.md
index 0e895b5a7..b08131c0b 100644
--- a/comfyui_embedded_docs/docs/CustomCombo/en.md
+++ b/comfyui_embedded_docs/docs/CustomCombo/en.md
@@ -19,4 +19,4 @@ The Custom Combo node allows you to create a custom dropdown menu with your own
| `INDEX` | INT | The index position of the selected option in the dropdown list. |
---
-**Source fingerprint (SHA-256):** `d950207b94deee37abce294eb3dab035e622925dc1118fe37f9c874784dc1672`
+**Source fingerprint (SHA-256):** `1c68db3a71526d52d21f79abae146ffa235b4927961ff45db3aa075bba4e910a`
diff --git a/comfyui_embedded_docs/docs/DCTestNode/en.md b/comfyui_embedded_docs/docs/DCTestNode/en.md
index 05ea0a97a..82b94f813 100644
--- a/comfyui_embedded_docs/docs/DCTestNode/en.md
+++ b/comfyui_embedded_docs/docs/DCTestNode/en.md
@@ -27,4 +27,4 @@ The DCTestNode is a logic node that returns different types of data based on a u
| `output` | ANYTYPE | The output depends on the selected `combo` option. It can be a STRING (`"option1"`), an INT (`"option2"`), an IMAGE (`"option3"`), or a string representation of the `subcombo` dictionary (`"option4"`). |
---
-**Source fingerprint (SHA-256):** `98c4ca2100a27594df360935cc1507960480fe75a76ca0df2af75925d399be00`
+**Source fingerprint (SHA-256):** `3a307bad068ef0721fff622c94337ca36fdca981c35b246ae9d5beb183be1620`
diff --git a/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md b/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md
index c3866187f..393535bf3 100644
--- a/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md
+++ b/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md
@@ -16,4 +16,4 @@ The Differential Diffusion node modifies the denoising process by applying a bin
| `model` | MODEL | The modified diffusion model with updated denoise mask function |
---
-**Source fingerprint (SHA-256):** `3b1727baa6c546516f5dfb53e6e39f27fc7429cde2ac7fd7dfbab99eebb39816`
+**Source fingerprint (SHA-256):** `26387c3e6c7ead5415b36cfc9b9eef73448527e70646ab253984ff9627f69a25`
diff --git a/comfyui_embedded_docs/docs/DisableNoise/en.md b/comfyui_embedded_docs/docs/DisableNoise/en.md
index f9290fc11..1ebd9637e 100644
--- a/comfyui_embedded_docs/docs/DisableNoise/en.md
+++ b/comfyui_embedded_docs/docs/DisableNoise/en.md
@@ -15,4 +15,4 @@ The DisableNoise node provides an empty noise configuration that can be used to
| `NOISE` | NOISE | Returns an empty noise configuration that can be used to disable noise generation in sampling processes. |
---
-**Source fingerprint (SHA-256):** `527152dff69bd5c55c622c634b87e625eb16708f8595fa02d69cf38f1125c5eb`
+**Source fingerprint (SHA-256):** `2453a37e98083b879a91c23d6342b9420a16783b78719117a38de627800381b4`
diff --git a/comfyui_embedded_docs/docs/DrawBBoxes/en.md b/comfyui_embedded_docs/docs/DrawBBoxes/en.md
index 95c9113b2..b839d45cc 100644
--- a/comfyui_embedded_docs/docs/DrawBBoxes/en.md
+++ b/comfyui_embedded_docs/docs/DrawBBoxes/en.md
@@ -13,6 +13,7 @@ The DrawBBoxes node visualizes object detection results by drawing bounding boxe
* The `bboxes` input is required and must be provided.
* The node automatically handles different input formats for `bboxes`. A single dictionary will be applied to all images in the batch. A flat list of dictionaries will be treated as the same set of detections for every image. A list of lists allows you to specify different detections for each image in the batch.
* If an `image` is not provided, the node will create a blank image with dimensions large enough to fit all provided bounding boxes, with a default minimum size of 640x640.
+* The `label` field in each bounding box dictionary is matched against the COCO dataset classes. If the label is not a recognized COCO class, it will be ignored and no text label will be drawn for that box.
## Outputs
@@ -21,4 +22,4 @@ The DrawBBoxes node visualizes object detection results by drawing bounding boxe
| `out_image` | IMAGE | The output image(s) with the drawn bounding boxes, labels, and confidence scores overlaid. |
---
-**Source fingerprint (SHA-256):** `436fbd3de0d5e09ca07b099a32c9b9482a8006459dc8635e066ffa82f6c755df`
+**Source fingerprint (SHA-256):** `ce5da10ec83e579515d70b7184fc78dfa04df4c514faccdcb75130212f56c84f`
diff --git a/comfyui_embedded_docs/docs/DualCFGGuider/en.md b/comfyui_embedded_docs/docs/DualCFGGuider/en.md
index 50dedc593..ed36d32dc 100644
--- a/comfyui_embedded_docs/docs/DualCFGGuider/en.md
+++ b/comfyui_embedded_docs/docs/DualCFGGuider/en.md
@@ -21,4 +21,4 @@ The DualCFGGuider node creates a guidance system for dual classifier-free guidan
| `GUIDER` | GUIDER | A configured guidance system ready for use with sampling |
---
-**Source fingerprint (SHA-256):** `802e07f2e64dc2d55e86290db7e94dffd46079a9180480a560035d0bb6350325`
+**Source fingerprint (SHA-256):** `5440fb55429b8c30ef88ee0eff74c8a54916b1ce644f93d5d0d5742b5056637d`
diff --git a/comfyui_embedded_docs/docs/EasyCache/en.md b/comfyui_embedded_docs/docs/EasyCache/en.md
index 2f879c2c9..61a2db2b6 100644
--- a/comfyui_embedded_docs/docs/EasyCache/en.md
+++ b/comfyui_embedded_docs/docs/EasyCache/en.md
@@ -19,4 +19,4 @@ The EasyCache node implements a native caching system for models to improve perf
| `model` | MODEL | The model with EasyCache functionality added. |
---
-**Source fingerprint (SHA-256):** `e9d9bf5ecae8034b562f1a27acf528d1f3241d7d28621beba149d3e9bd66a247`
+**Source fingerprint (SHA-256):** `c94867faae0005743a593a20d432fe3a3d01624148d0dbd1f2576df54026b2ab`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md b/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md
index a676de469..de66fe019 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md
@@ -15,4 +15,4 @@ The ElevenLabs Voice Isolation node removes background noise from an audio file,
| `audio` | AUDIO | The processed audio with background noise removed. |
---
-**Source fingerprint (SHA-256):** `eca7919ff853fe48f8419a4135a99589e350d3d113631e27f6e7cb3cbb3faa3b`
+**Source fingerprint (SHA-256):** `84f1ea16911b9b1d1ab60dd75fade8cc524ac3e39d44f60a242214f14006ff1e`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md b/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md
index 64d65a91e..9fd3c72d6 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md
@@ -18,4 +18,4 @@ The ElevenLabs Instant Voice Clone node creates a new, unique voice model by ana
| `voice` | ELEVENLABS_VOICE | The unique identifier for the newly created cloned voice model. This output can be connected to other ElevenLabs text-to-speech nodes. |
---
-**Source fingerprint (SHA-256):** `297598e183df3ccddabc75d6903c5c69f10648adeea430e546f9c5f6df49bdb2`
+**Source fingerprint (SHA-256):** `760bd99ed8382eb875ab21739346d178130b02240526308b784332a59b048d78`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md b/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md
index dc785ba18..0af1c8b22 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md
@@ -21,4 +21,4 @@ The ElevenLabs Speech to Speech node transforms an input audio file from one voi
| `audio` | AUDIO | The transformed audio file in the specified output format. |
---
-**Source fingerprint (SHA-256):** `118fe6e85b146d0649b104d814abb518d37f69ade2e53becac365a0ec90146fd`
+**Source fingerprint (SHA-256):** `ef065ffa78a63398e746b52c6c8f2c336e6a4137722537c8026d292ed397a246`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md b/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md
index 1bb651c82..5798f4014 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md
@@ -28,4 +28,4 @@ The ElevenLabs Speech to Text node transcribes audio files into text. It uses El
| `words_json` | STRING | A JSON-formatted string containing detailed word-level information, including timestamps and speaker labels if enabled. |
---
-**Source fingerprint (SHA-256):** `aca2ac04d7280ef2b604f7c8d29ad7fea1e7abcfc38beabb64ba6b268a8cade1`
+**Source fingerprint (SHA-256):** `1541ae5542b83d80cb96ab0c8694c25b2bd9d4f10c1030902064d05319b2a520`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md b/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md
index 6b3920009..10b8ca81f 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md
@@ -23,4 +23,4 @@ The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue fr
| `audio` | AUDIO | The generated multi-speaker dialogue audio in the selected output format. |
---
-**Source fingerprint (SHA-256):** `2e1634e90314167320d715346f8d0c691dfabe82b090391afa2b0b18a8a126d8`
+**Source fingerprint (SHA-256):** `76eaa0ce55e1b542f4f2073405c707d686affd15202dc1adf1e1a81c542cbdb1`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md b/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md
index bdd34f97e..b75208675 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md
@@ -23,4 +23,4 @@ The ElevenLabs Text to Sound Effects node generates audio sound effects from a t
| `audio` | AUDIO | The generated sound effect audio file. |
---
-**Source fingerprint (SHA-256):** `c23c4dd3c9c12f0e891d40683265c5b74b5c6320601aaadb686489510db9f107`
+**Source fingerprint (SHA-256):** `5868bfeb82c88b46587cbbce48266abd8b78ac05a24ae61a7c8dc978373c2c06`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md b/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md
index 5c88fd694..da58dd5fc 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md
@@ -35,4 +35,4 @@ When the `model` parameter is set to `"eleven_v3"`, the following additional par
| `audio` | AUDIO | The generated audio from the text-to-speech conversion. |
---
-**Source fingerprint (SHA-256):** `d11d4ffa2d1f11dfd5ce378d9496cd9788d2197bf7f4135092ecefb287f3c2f7`
+**Source fingerprint (SHA-256):** `0cd570fbb152e07ba028e96df56abc08dde8941d043386fd076f42a1e1dc6016`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md b/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md
index 60dec7698..9e65012c5 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md
@@ -6,7 +6,7 @@ The ElevenLabs Voice Selector node allows you to choose a specific voice from a
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `voice` | STRING | Yes | `"Adam"` `"Antoni"` `"Arnold"` `"Bella"` `"Domi"` `"Elli"` `"Josh"` `"Rachel"` `"Sam"` | Choose a voice from the predefined ElevenLabs voices. |
+| `voice` | STRING | Yes | `"Adam (male, american)"` `"Antoni (male, british)"` `"Arnold (male, american)"` `"Bella (female, american)"` `"Domi (female, american)"` `"Elli (female, american)"` `"Josh (male, american)"` `"Rachel (female, american)"` `"Sam (male, american)"` | Choose a voice from the predefined ElevenLabs voices. |
## Outputs
@@ -15,4 +15,4 @@ The ElevenLabs Voice Selector node allows you to choose a specific voice from a
| `voice` | STRING | The unique identifier for the selected ElevenLabs voice, which can be passed to other nodes for text-to-speech generation. |
---
-**Source fingerprint (SHA-256):** `b87f5b2b8accca87d0593ab1f4bcfccaa84b393ddb3fd9121758a87871592cee`
+**Source fingerprint (SHA-256):** `47adf5da14e65749c16ada389331c380a1e3a18ecc6f366c32d84ffe7c34990a`
diff --git a/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md b/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md
index 986aeb4c1..d51f1b320 100644
--- a/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md
+++ b/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md
@@ -20,4 +20,4 @@ The EmptyARVideoLatent node creates a blank, empty latent representation for vid
| `LATENT` | LATENT | A latent tensor filled with zeros, representing an empty video latent space with the specified dimensions, length, and batch size. The tensor shape is [batch_size, 16, lat_t, height/8, width/8], where lat_t is calculated from the length. |
---
-**Source fingerprint (SHA-256):** `5ae25e2ccb24e627eae583d14c5bcba8b576a227b7a489f3cd4bc56738928513`
+**Source fingerprint (SHA-256):** `b36c40d768e846bc67ed6a7bfb4145c6e2a4ca55824296250a88f52d5ae305cf`
diff --git a/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md b/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md
index 27cfb6abe..310358c9b 100644
--- a/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md
+++ b/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md
@@ -13,7 +13,7 @@ The Empty Ace Step 1.5 Latent Audio node creates an empty latent tensor designed
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `LATENT` | LATENT | An empty latent tensor representing silent audio, with a type identifier of "audio". |
+| `LATENT` | LATENT | An empty latent tensor representing silent audio, with a type identifier of "audio". The output also includes a `downscale_ratio_temporal` value of 1764, which is used for temporal downscaling in audio processing. |
---
-**Source fingerprint (SHA-256):** `8d2b0b8ea110362d5e43a72a27df0ff2012a8577fbaa4fef2bd7905c9c64bd6a`
+**Source fingerprint (SHA-256):** `dc87da02daa14d19afb0a1b421ee87fdcaf53d5a1e5f5175bfcc8e9fbcd7fa48`
diff --git a/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md b/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md
index 29e66b8cf..5c3c2ecc9 100644
--- a/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md
+++ b/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md
@@ -16,4 +16,4 @@ The EmptyAceStepLatentAudio node creates empty latent audio samples of a specifi
| `output` | LATENT | Returns empty latent audio samples with zeros. The output contains a `samples` tensor and a `type` field set to "audio". |
---
-**Source fingerprint (SHA-256):** `79fcfb3cb26db8a2ef4480455a44255e0d1a16f122a762d7608a78b2330cc637`
+**Source fingerprint (SHA-256):** `be20317ed22bf89eeb35a31de0177842f366105da8653e6d7af71241a84967a0`
diff --git a/comfyui_embedded_docs/docs/EmptyAudio/en.md b/comfyui_embedded_docs/docs/EmptyAudio/en.md
index 5b896d8b9..c71edb647 100644
--- a/comfyui_embedded_docs/docs/EmptyAudio/en.md
+++ b/comfyui_embedded_docs/docs/EmptyAudio/en.md
@@ -17,4 +17,4 @@ The EmptyAudio node generates a silent audio clip with specified duration, sampl
| `AUDIO` | AUDIO | The generated silent audio clip containing waveform data and sample rate information |
---
-**Source fingerprint (SHA-256):** `61b9cd6c8e518f28533b7586fdd1f909e5c356c7f2f7690da4e1ec7965d53c5d`
+**Source fingerprint (SHA-256):** `687bfe02cb0192add9128ae9040fa5773be0d7a0a5df17618cf56050901c6dc5`
diff --git a/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md b/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md
index c7d50ab03..99a71cba7 100644
--- a/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md
+++ b/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md
@@ -17,4 +17,4 @@ The EmptyChromaRadianceLatentImage node creates a blank latent image with specif
| `samples` | LATENT | The generated empty latent image tensor with specified dimensions |
---
-**Source fingerprint (SHA-256):** `f2bc90a236f91e0161142f5242647d15adc8a10c57c920d2eb97e87040ac99d4`
+**Source fingerprint (SHA-256):** `15f4d3f9803aa3242b07ff4f49946e1f1f409512af07cffe5495e9ce09c587dd`
diff --git a/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md b/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md
index 457b875bf..9d9e7c930 100644
--- a/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md
+++ b/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md
@@ -18,4 +18,4 @@ The EmptyCosmosLatentVideo node creates an empty latent video tensor with specif
| `samples` | LATENT | The generated empty latent video tensor with zero values |
---
-**Source fingerprint (SHA-256):** `f473820af3faf7cb6992ff1959089801e333df395b4007abeb9b504962bfc73b`
+**Source fingerprint (SHA-256):** `ed7404f31b4b9fb2c098579f8e96e55befb3c8ed045d4175385d01a7b42035e2`
diff --git a/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md b/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md
index 0ba16b8c0..4b96ddd09 100644
--- a/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md
+++ b/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md
@@ -19,4 +19,4 @@ The EmptyFlux2LatentImage node creates a blank, empty latent representation. It
| `samples` | LATENT | A latent tensor filled with zeros. The shape is `[batch_size, 128, height // 16, width // 16]`. |
---
-**Source fingerprint (SHA-256):** `e3616ad0e283a318bbe441d84f687883e59ab311e72c5e5edd16ddabde10988e`
+**Source fingerprint (SHA-256):** `337c687b6b3ebb8854618911ab966118940de369ed84bc9c4ed769289b397588`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ar.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ar.md
new file mode 100644
index 000000000..66568587d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ar.md
@@ -0,0 +1,27 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ar.md)
+
+# نظرة عامة
+
+تنشئ هذه العقدة صورة كامنة فارغة في فضاء البكسل، مصممة خصيصًا لنموذج HiDream-O1-Image. تُنتج موترًا فارغًا من الأصفار يعمل كنقطة بداية لتوليد الصور، بأبعاد محددة بواسطة مدخلات العرض والارتفاع وحجم الدفعة.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إجباري | النطاق | الوصف |
+|---------|---------------|--------|--------|-------|
+| `العرض` | INT | نعم | 64 إلى 4096 (خطوة: 32) | عرض الصورة الكامنة بالبكسل (الافتراضي: 2048). تم تدريب النموذج بدقة ~4 ميجابكسل؛ الدقة المنخفضة تخرج عن التوزيع وتتراجع الجودة بشكل ملحوظ. |
+| `الارتفاع` | INT | نعم | 64 إلى 4096 (خطوة: 32) | ارتفاع الصورة الكامنة بالبكسل (الافتراضي: 2048). تم تدريب النموذج بدقة ~4 ميجابكسل؛ الدقة المنخفضة تخرج عن التوزيع وتتراجع الجودة بشكل ملحوظ. |
+| `حجم الدفعة` | INT | لا | 1 إلى 64 | عدد الصور الكامنة المراد توليدها في دفعة واحدة (الافتراضي: 1). |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|--------|
+| `samples` | LATENT | موتر مملوء بالأصفار يمثل الصورة الكامنة الفارغة، بشكل (batch_size, 3, height, width). |
+
+## ملاحظات
+
+- تم تدريب نموذج HiDream-O1-Image بدقة تبلغ حوالي 4 ميجابكسل. قد يؤدي استخدام دقة أقل بشكل كبير إلى انخفاض جودة الصورة.
+- الدقة المُدرَّبة تشمل: 2048×2048، 2304×1728، 1728×2304، 2560×1440، 1440×2560، 2496×1664، 1664×2496، 3104×1312، 1312×3104، 2304×1792، 1792×2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md
new file mode 100644
index 000000000..cc158355c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md
@@ -0,0 +1,27 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md)
+
+## Overview
+
+This node creates an empty latent image in pixel space, specifically designed for the HiDream-O1-Image model. It generates a blank tensor of zeros that serves as the starting point for image generation, with dimensions defined by the width, height, and batch size inputs.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `width` | INT | Yes | 64 to 4096 (step: 32) | The width of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. |
+| `height` | INT | Yes | 64 to 4096 (step: 32) | The height of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. |
+| `batch_size` | INT | No | 1 to 64 | The number of latent images to generate in a single batch (default: 1). |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `samples` | LATENT | A tensor filled with zeros representing the empty latent image, with shape (batch_size, 3, height, width). |
+
+## Notes
+
+- The HiDream-O1-Image model was trained at approximately 4 megapixels. Using significantly lower resolutions may result in reduced image quality.
+- Trained resolutions include: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/es.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/es.md
new file mode 100644
index 000000000..fca35b640
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/es.md
@@ -0,0 +1,27 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/es.md)
+
+# Descripción general
+
+Este nodo crea una imagen latente vacía en el espacio de píxeles, diseñada específicamente para el modelo HiDream-O1-Image. Genera un tensor en blanco de ceros que sirve como punto de partida para la generación de imágenes, con dimensiones definidas por las entradas de ancho, alto y tamaño de lote.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `ancho` | INT | Sí | 64 a 4096 (paso: 32) | El ancho de la imagen latente en píxeles (predeterminado: 2048). El modelo fue entrenado a ~4 megapíxeles; resoluciones más bajas se desvían de la distribución y la calidad disminuye notablemente. |
+| `alto` | INT | Sí | 64 a 4096 (paso: 32) | El alto de la imagen latente en píxeles (predeterminado: 2048). El modelo fue entrenado a ~4 megapíxeles; resoluciones más bajas se desvían de la distribución y la calidad disminuye notablemente. |
+| `tamaño_lote` | INT | No | 1 a 64 | La cantidad de imágenes latentes a generar en un solo lote (predeterminado: 1). |
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `samples` | LATENT | Un tensor lleno de ceros que representa la imagen latente vacía, con forma (batch_size, 3, height, width). |
+
+## Notas
+
+- El modelo HiDream-O1-Image fue entrenado aproximadamente a 4 megapíxeles. El uso de resoluciones significativamente más bajas puede resultar en una calidad de imagen reducida.
+- Las resoluciones de entrenamiento incluyen: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fa.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fa.md
new file mode 100644
index 000000000..8513b9ca1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fa.md
@@ -0,0 +1,27 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fa.md)
+
+## نمای کلی
+
+این گره یک تصویر نهفته خالی در فضای پیکسل ایجاد میکند که بهطور خاص برای مدل HiDream-O1-Image طراحی شده است. یک تانسور خالی از صفرها تولید میکند که بهعنوان نقطه شروع برای تولید تصویر عمل میکند، با ابعادی که توسط ورودیهای عرض، ارتفاع و اندازه دسته تعریف میشود.
+
+## ورودیها
+
+| پارامتر | نوع داده | اجباری | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `عرض` | INT | بله | 64 تا 4096 (گام: 32) | عرض تصویر نهفته بر حسب پیکسل (پیشفرض: 2048). مدل در حدود 4 مگاپیکسل آموزش دیده است؛ وضوحهای پایینتر از توزیع خارج شده و کیفیت بهطور محسوسی کاهش مییابد. |
+| `ارتفاع` | INT | بله | 64 تا 4096 (گام: 32) | ارتفاع تصویر نهفته بر حسب پیکسل (پیشفرض: 2048). مدل در حدود 4 مگاپیکسل آموزش دیده است؛ وضوحهای پایینتر از توزیع خارج شده و کیفیت بهطور محسوسی کاهش مییابد. |
+| `batch_size` | INT | خیر | 1 تا 64 | تعداد تصاویر نهفته برای تولید در یک دسته واحد (پیشفرض: 1). |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `samples` | LATENT | یک تانسور پر از صفر که نشاندهنده تصویر نهفته خالی است، با شکل (batch_size, 3, height, width). |
+
+## نکات
+
+- مدل HiDream-O1-Image در حدود 4 مگاپیکسل آموزش دیده است. استفاده از وضوحهای بهطور قابل توجهی پایینتر ممکن است منجر به کاهش کیفیت تصویر شود.
+- وضوحهای آموزش داده شده عبارتند از: 2048x2048، 2304x1728، 1728x2304، 2560x1440، 1440x2560، 2496x1664، 1664x2496، 3104x1312، 1312x3104، 2304x1792، 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fr.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fr.md
new file mode 100644
index 000000000..c9ad40cf7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fr.md
@@ -0,0 +1,29 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI `EmptyHiDreamO1LatentImage` :
+
+## Aperçu
+
+Ce nœud crée une image latente vide dans l'espace pixel, spécialement conçue pour le modèle HiDream-O1-Image. Il génère un tenseur vide de zéros qui sert de point de départ pour la génération d'images, avec des dimensions définies par les entrées de largeur, hauteur et taille de lot.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `largeur` | INT | Oui | 64 à 4096 (pas : 32) | La largeur de l'image latente en pixels (par défaut : 2048). Le modèle a été entraîné à environ 4 mégapixels ; des résolutions plus faibles s'écartent de la distribution et la qualité régresse de manière notable. |
+| `hauteur` | INT | Oui | 64 à 4096 (pas : 32) | La hauteur de l'image latente en pixels (par défaut : 2048). Le modèle a été entraîné à environ 4 mégapixels ; des résolutions plus faibles s'écartent de la distribution et la qualité régresse de manière notable. |
+| `taille_lot` | INT | Non | 1 à 64 | Le nombre d'images latentes à générer en un seul lot (par défaut : 1). |
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `samples` | LATENT | Un tenseur rempli de zéros représentant l'image latente vide, avec la forme (batch_size, 3, height, width). |
+
+## Remarques
+
+- Le modèle HiDream-O1-Image a été entraîné à environ 4 mégapixels. L'utilisation de résolutions nettement inférieures peut entraîner une qualité d'image réduite.
+- Les résolutions d'entraînement incluent : 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md
new file mode 100644
index 000000000..6b86b07b8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md
@@ -0,0 +1,29 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md)
+
+以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。
+
+## 概要
+
+このノードは、ピクセル空間において空の潜在画像を作成します。特にHiDream-O1-Imageモデル向けに設計されています。画像生成の開始点として機能する、ゼロで満たされた空のテンソルを生成し、その次元は幅、高さ、バッチサイズの入力によって定義されます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `幅` | INT | はい | 64 ～ 4096 (ステップ: 32) | 潜在画像の幅（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 |
+| `高さ` | INT | はい | 64 ～ 4096 (ステップ: 32) | 潜在画像の高さ（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 |
+| `バッチサイズ` | INT | いいえ | 1 ～ 64 | 1回のバッチで生成する潜在画像の数（デフォルト: 1）。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `samples` | LATENT | 空の潜在画像を表すゼロで満たされたテンソル。形状は (batch_size, 3, height, width) です。 |
+
+## 注意事項
+
+- HiDream-O1-Imageモデルは約4メガピクセルで学習されています。これより大幅に低い解像度を使用すると、画像品質が低下する可能性があります。
+- 学習済みの解像度は以下の通りです: 2048x2048、2304x1728、1728x2304、2560x1440、1440x2560、2496x1664、1664x2496、3104x1312、1312x3104、2304x1792、1792x2304。
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ko.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ko.md
new file mode 100644
index 000000000..65bfd462f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ko.md
@@ -0,0 +1,27 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ko.md)
+
+# 개요
+
+이 노드는 HiDream-O1-Image 모델을 위해 특별히 설계된 픽셀 공간의 빈 잠재 이미지를 생성합니다. 너비, 높이 및 배치 크기 입력으로 정의된 차원을 가진 0으로 채워진 빈 텐서를 생성하며, 이는 이미지 생성을 위한 시작점 역할을 합니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `width` | INT | 예 | 64 ~ 4096 (단위: 32) | 잠재 이미지의 픽셀 단위 너비입니다(기본값: 2048). 모델은 약 4메가픽셀로 학습되었으며, 더 낮은 해상도에서는 분포를 벗어나 품질이 현저히 저하됩니다. |
+| `height` | INT | 예 | 64 ~ 4096 (단위: 32) | 잠재 이미지의 픽셀 단위 높이입니다(기본값: 2048). 모델은 약 4메가픽셀로 학습되었으며, 더 낮은 해상도에서는 분포를 벗어나 품질이 현저히 저하됩니다. |
+| `batch_size` | INT | 아니요 | 1 ~ 64 | 단일 배치에서 생성할 잠재 이미지의 개수입니다(기본값: 1). |
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `samples` | LATENT | 빈 잠재 이미지를 나타내는 0으로 채워진 텐서이며, 형태는 (batch_size, 3, height, width)입니다. |
+
+# 참고 사항
+
+- HiDream-O1-Image 모델은 약 4메가픽셀로 학습되었습니다. 현저히 낮은 해상도를 사용하면 이미지 품질이 저하될 수 있습니다.
+- 학습된 해상도는 다음과 같습니다: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/pt-BR.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/pt-BR.md
new file mode 100644
index 000000000..99bcc01c4
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/pt-BR.md
@@ -0,0 +1,29 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md)
+
+## Visão Geral
+
+Este nó cria uma imagem latente vazia no espaço de pixels, projetada especificamente para o modelo HiDream-O1-Image. Ele gera um tensor vazio de zeros que serve como ponto de partida para a geração de imagens, com dimensões definidas pelas entradas de largura, altura e tamanho do lote.
+
+## Entradas
+
+| Parâmetro | Tipo de Dados | Obrigatório | Faixa | Descrição |
+|-----------|---------------|-------------|-------|-----------|
+| `largura` | INT | Sim | 64 a 4096 (passo: 32) | A largura da imagem latente em pixels (padrão: 2048). O modelo foi treinado em ~4 megapixels; resoluções mais baixas saem da distribuição e a qualidade regride visivelmente. |
+| `altura` | INT | Sim | 64 a 4096 (passo: 32) | A altura da imagem latente em pixels (padrão: 2048). O modelo foi treinado em ~4 megapixels; resoluções mais baixas saem da distribuição e a qualidade regride visivelmente. |
+| `tamanho_do_lote` | INT | Não | 1 a 64 | O número de imagens latentes a serem geradas em um único lote (padrão: 1). |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dados | Descrição |
+|---------------|---------------|-----------|
+| `samples` | LATENT | Um tensor preenchido com zeros representando a imagem latente vazia, com formato (batch_size, 3, height, width). |
+
+## Notas
+
+- O modelo HiDream-O1-Image foi treinado em aproximadamente 4 megapixels. O uso de resoluções significativamente mais baixas pode resultar em qualidade de imagem reduzida.
+- As resoluções treinadas incluem: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ru.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ru.md
new file mode 100644
index 000000000..125518e52
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ru.md
@@ -0,0 +1,29 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ru.md)
+
+Вот перевод документации на русский язык в соответствии с вашими правилами.
+
+## Обзор
+
+Этот узел создает пустое латентное изображение в пиксельном пространстве, специально разработанное для модели HiDream-O1-Image. Он генерирует пустой тензор из нулей, который служит отправной точкой для генерации изображения, с размерами, определяемыми входными параметрами ширины, высоты и размера пакета.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `ширина` | INT | Да | от 64 до 4096 (шаг: 32) | Ширина латентного изображения в пикселях (по умолчанию: 2048). Модель обучалась при разрешении ~4 мегапикселя; более низкие разрешения выходят за пределы распределения, и качество заметно ухудшается. |
+| `высота` | INT | Да | от 64 до 4096 (шаг: 32) | Высота латентного изображения в пикселях (по умолчанию: 2048). Модель обучалась при разрешении ~4 мегапикселя; более низкие разрешения выходят за пределы распределения, и качество заметно ухудшается. |
+| `размер_пакета` | INT | Нет | от 1 до 64 | Количество латентных изображений для генерации в одном пакете (по умолчанию: 1). |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `samples` | LATENT | Тензор, заполненный нулями, представляющий пустое латентное изображение, с формой (batch_size, 3, height, width). |
+
+## Примечания
+
+- Модель HiDream-O1-Image была обучена при разрешении приблизительно 4 мегапикселя. Использование значительно более низких разрешений может привести к снижению качества изображения.
+- Обучающие разрешения включают: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/tr.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/tr.md
new file mode 100644
index 000000000..7fdd85ba1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/tr.md
@@ -0,0 +1,27 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, piksel uzayında boş bir latent görüntü oluşturur ve özellikle HiDream-O1-Image modeli için tasarlanmıştır. Genişlik, yükseklik ve batch boyutu girdileriyle tanımlanan boyutlarda, görüntü oluşturma için başlangıç noktası görevi gören sıfırlardan oluşan boş bir tensör üretir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `genişlik` | INT | Evet | 64 ila 4096 (adım: 32) | Piksel cinsinden latent görüntünün genişliği (varsayılan: 2048). Model yaklaşık 4 megapikselde eğitilmiştir; daha düşük çözünürlükler dağılım dışına çıkar ve kalite belirgin şekilde düşer. |
+| `yükseklik` | INT | Evet | 64 ila 4096 (adım: 32) | Piksel cinsinden latent görüntünün yüksekliği (varsayılan: 2048). Model yaklaşık 4 megapikselde eğitilmiştir; daha düşük çözünürlükler dağılım dışına çıkar ve kalite belirgin şekilde düşer. |
+| `batch_size` | INT | Hayır | 1 ila 64 | Tek bir batch'te oluşturulacak latent görüntü sayısı (varsayılan: 1). |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `samples` | LATENT | (batch_size, 3, height, width) şeklinde, boş latent görüntüyü temsil eden sıfırlarla dolu bir tensör. |
+
+{heading_notes}
+
+- HiDream-O1-Image modeli yaklaşık 4 megapikselde eğitilmiştir. Önemli ölçüde daha düşük çözünürlükler kullanmak, görüntü kalitesinin düşmesine neden olabilir.
+- Eğitilmiş çözünürlükler şunları içerir: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304.
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh-TW.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh-TW.md
new file mode 100644
index 000000000..2cea34f50
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh-TW.md
@@ -0,0 +1,27 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh-TW.md)
+
+## 概述
+
+此節點在像素空間中建立一個空的潛在影像，專為 HiDream-O1-Image 模型設計。它會產生一個由零填充的空白張量，作為影像生成的起點，其尺寸由寬度、高度和批次大小輸入參數定義。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `寬度` | INT | 是 | 64 至 4096 (步長：32) | 潛在影像的像素寬度（預設值：2048）。該模型在約 4 百萬像素下訓練；較低解析度會偏離訓練分佈，導致品質明顯下降。 |
+| `高度` | INT | 是 | 64 至 4096 (步長：32) | 潛在影像的像素高度（預設值：2048）。該模型在約 4 百萬像素下訓練；較低解析度會偏離訓練分佈，導致品質明顯下降。 |
+| `批次大小` | INT | 否 | 1 至 64 | 單一批次中生成的潛在影像數量（預設值：1）。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `samples` | LATENT | 一個由零填充的張量，代表空的潛在影像，形狀為 (batch_size, 3, height, width)。 |
+
+## 備註
+
+- HiDream-O1-Image 模型在約 4 百萬像素下進行訓練。使用顯著較低的解析度可能會導致影像品質下降。
+- 訓練使用的解析度包括：2048x2048、2304x1728、1728x2304、2560x1440、1440x2560、2496x1664、1664x2496、3104x1312、1312x3104、2304x1792、1792x2304。
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh.md b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh.md
new file mode 100644
index 000000000..a5012bc3c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh.md
@@ -0,0 +1,27 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh.md)
+
+## ## 概述
+
+此节点在像素空间中创建一个空的潜在图像，专为 HiDream-O1-Image 模型设计。它生成一个由零填充的空白张量，作为图像生成的起点，其尺寸由宽度、高度和批次大小输入定义。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `宽度` | INT | 是 | 64 至 4096（步长：32） | 潜在图像的宽度（像素），默认值：2048。该模型在约 4 百万像素下训练；较低分辨率会偏离训练分布，导致质量明显下降。 |
+| `高度` | INT | 是 | 64 至 4096（步长：32） | 潜在图像的高度（像素），默认值：2048。该模型在约 4 百万像素下训练；较低分辨率会偏离训练分布，导致质量明显下降。 |
+| `批量大小` | INT | 否 | 1 至 64 | 单次批次中生成的潜在图像数量，默认值：1。 |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `samples` | LATENT | 一个由零填充的张量，表示空的潜在图像，形状为 (batch_size, 3, height, width)。 |
+
+## 备注
+
+- HiDream-O1-Image 模型在约 4 百万像素下训练。使用显著较低的分辨率可能会导致图像质量下降。
+- 训练时使用的分辨率包括：2048x2048、2304x1728、1728x2304、2560x1440、1440x2560、2496x1664、1664x2496、3104x1312、1312x3104、2304x1792、1792x2304。
+
+---
+**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e`
diff --git a/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md b/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md
index 9f9961cef..c77d18773 100644
--- a/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md
+++ b/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md
@@ -17,4 +17,4 @@ The EmptyHunyuanImageLatent node creates an empty latent tensor with specific di
| `LATENT` | LATENT | An empty latent tensor with the specified dimensions for Hunyuan image processing |
---
-**Source fingerprint (SHA-256):** `18e920527c88be2648d8cbe4255f693123be4e70a9e21dd379310088a1470834`
+**Source fingerprint (SHA-256):** `990878294736fcc89f4435127a81e9eec390d58640694ab35789ed7f578692a1`
diff --git a/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md b/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md
index 74f0fcf26..c5e534a0e 100644
--- a/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md
+++ b/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md
@@ -20,4 +20,4 @@ This node creates an empty latent tensor specifically formatted for use with the
| `samples` | LATENT | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. The output also includes a `downscale_ratio_spacial` value of 16. |
---
-**Source fingerprint (SHA-256):** `eebc131adfe63f6bc8367f2a96b3ac7f3f3223c5b1fb308eda3ec09c94fff2ee`
+**Source fingerprint (SHA-256):** `6f53c99967149dd7c92e4d20a4ee80bd23d856ebab0a14a8201c55db847a525e`
diff --git a/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md b/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md
index f7984217c..19f98dd93 100644
--- a/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md
+++ b/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md
@@ -18,4 +18,4 @@ The EmptyLTXVLatentVideo node creates an empty latent tensor for video processin
| `samples` | LATENT | The generated empty latent tensor with zero values in the specified dimensions |
---
-**Source fingerprint (SHA-256):** `c3ee9374210e100a074b238ce7ac8b5d2d2d415efd3318c9a6a7c8f7e20bda84`
+**Source fingerprint (SHA-256):** `177fa1014ba65feab06a6f7bafc72e1cc536d3dc01f5bebddceb9f15f8df99fd`
diff --git a/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md b/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md
index fad2cb44e..e29696baa 100644
--- a/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md
+++ b/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md
@@ -13,7 +13,7 @@ The EmptyLatentAudio node creates an empty latent tensor for audio processing. I
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `LATENT` | LATENT | Returns an empty latent tensor for audio processing with the specified duration and batch size. The tensor has a shape of [batch_size, 64, length], where length is calculated from the audio duration and sample rate. |
+| `LATENT` | LATENT | Returns an empty latent tensor for audio processing with the specified duration and batch size. The tensor has a shape of [batch_size, 64, length], where length is calculated from the audio duration and sample rate. The output also includes metadata indicating the type is "audio" and a temporal downscale ratio of 2048. |
---
-**Source fingerprint (SHA-256):** `004f730131b179fe5ac072afe81b2e01a3937fceca5a260b4ae66f92774e96d9`
+**Source fingerprint (SHA-256):** `02d7623358a6cc8200e74ab36f6a83bcfa059abd6ef91e3fd1c3732706926033`
diff --git a/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md b/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md
index fb1126816..ff29589c7 100644
--- a/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md
+++ b/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md
@@ -16,4 +16,4 @@ The EmptyLatentHunyuan3Dv2 node creates blank latent tensors specifically format
| `LATENT` | LATENT | Returns a latent tensor containing empty samples formatted for Hunyuan3Dv2 3D generation |
---
-**Source fingerprint (SHA-256):** `f912b226bcec4e2edd52250682d0583ab378b5502173f8e027e0e8fbff1db08f`
+**Source fingerprint (SHA-256):** `39fa531f819e3fe5e835b79d4140956c30d26cf9627d639359df65a5d3c01c2b`
diff --git a/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md b/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md
index d47920c81..25bd0c96e 100644
--- a/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md
+++ b/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md
@@ -8,10 +8,10 @@ The EmptyMochiLatentVideo node creates an empty latent video tensor with specifi
|-----------|-----------|----------|-------|-------------|
| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 848, must be divisible by 16) |
| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 480, must be divisible by 16) |
-| `length` | INT | Yes | 7 to MAX_RESOLUTION | The number of frames in the latent video (default: 25, must be divisible by 6 after subtracting 1) |
+| `length` | INT | Yes | 7 to MAX_RESOLUTION | The number of frames in the latent video (default: 25, must satisfy that `(length - 1)` is divisible by 6) |
| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) |
-**Note:** The actual latent dimensions are calculated as width/8 and height/8, and the temporal dimension is calculated as ((length - 1) // 6) + 1. The `length` parameter must satisfy that `(length - 1)` is divisible by 6, meaning valid values are 7, 13, 19, 25, etc.
+**Note:** The actual latent dimensions are calculated as width/8 and height/8, and the temporal dimension is calculated as `((length - 1) // 6) + 1`. The `length` parameter must satisfy that `(length - 1)` is divisible by 6, meaning valid values are 7, 13, 19, 25, etc.
## Outputs
@@ -20,4 +20,4 @@ The EmptyMochiLatentVideo node creates an empty latent video tensor with specifi
| `samples` | LATENT | An empty latent video tensor with the specified dimensions, containing all zeros |
---
-**Source fingerprint (SHA-256):** `6876a739355b2dcde42f8c02eb67405678798b818865ec1a73e19076b738554b`
+**Source fingerprint (SHA-256):** `1e5f70821965a9c8607920554f50ae3b6a0b38643074f669e5b81d81c3e26302`
diff --git a/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md b/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md
index 3e56b4cf5..3f6bef470 100644
--- a/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md
+++ b/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md
@@ -20,4 +20,4 @@ The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent r
| `samples` | LATENT | A latent tensor filled with zeros. Its shape is `[batch_size, 16, layers + 1, height // 8, width // 8]`. |
---
-**Source fingerprint (SHA-256):** `99497e3e4a67bf7b3f650573e7b8eb2d7fad6be5819b7ebbbb8736291dc44e0c`
+**Source fingerprint (SHA-256):** `fe97966663c534dd347aa49a908a8026f2c34716631f1d17be97d74eacc3574e`
diff --git a/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md b/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md
index ab1808952..276558129 100644
--- a/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md
+++ b/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md
@@ -17,4 +17,4 @@ The EmptySD3LatentImage node creates a blank latent image tensor specifically fo
| `LATENT` | LATENT | A latent tensor containing blank samples with SD3-compatible dimensions. The tensor has 16 channels and is spatially downscaled by a factor of 8 compared to the input width and height. |
---
-**Source fingerprint (SHA-256):** `21eb5b6385b9b0db95d48fa2f4b85eafe44f865af11ee194945ab7ffe54b6acc`
+**Source fingerprint (SHA-256):** `7a4b2454807bc905f26b96c0ff98706fa3e248bbf2b3995d5d38ebc3c5663fd6`
diff --git a/comfyui_embedded_docs/docs/Epsilon Scaling/en.md b/comfyui_embedded_docs/docs/Epsilon Scaling/en.md
index 6775d6f14..87a40d7b9 100644
--- a/comfyui_embedded_docs/docs/Epsilon Scaling/en.md
+++ b/comfyui_embedded_docs/docs/Epsilon Scaling/en.md
@@ -16,4 +16,4 @@ This node implements the Epsilon Scaling method from the research paper "Elucida
| `model` | MODEL | A patched version of the input model with the epsilon scaling function applied to its sampling process. |
---
-**Source fingerprint (SHA-256):** `85c464ce0b2ec2a031a01d9eef5d50fd300be3012499cc061705fb7964110882`
+**Source fingerprint (SHA-256):** `245d230ec2db7298493d4fbe58c3d96c15821985da3dc12aaccf64e2bf7922a1`
diff --git a/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md b/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md
index 092fad0bb..11db24a9d 100644
--- a/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md
+++ b/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md
@@ -21,4 +21,4 @@ The ExtendIntermediateSigmas node takes an existing sequence of sigma values and
| `sigmas` | SIGMAS | The extended sigma sequence with additional intermediate values inserted |
---
-**Source fingerprint (SHA-256):** `f51ed433fc38365334ff8e4072174dc04982a8a00770d07f544320a6863577c4`
+**Source fingerprint (SHA-256):** `111cb74aad64d8d9b2bebd10406c0f4ce718367bde96102104d385d387cef8e5`
diff --git a/comfyui_embedded_docs/docs/Flux2ImageNode/en.md b/comfyui_embedded_docs/docs/Flux2ImageNode/en.md
index 8caf5ef98..4ff7cf5eb 100644
--- a/comfyui_embedded_docs/docs/Flux2ImageNode/en.md
+++ b/comfyui_embedded_docs/docs/Flux2ImageNode/en.md
@@ -33,4 +33,4 @@ When you select a model, the following parameters become available:
| `image` | IMAGE | The generated image as a tensor, downloaded from the BFL API result. |
---
-**Source fingerprint (SHA-256):** `664ddf45d42f64e4882cc959018f7874915325f2d46519c6bb9a0c5a501228f7`
+**Source fingerprint (SHA-256):** `ce3ee97d5ccb746892f3bfdb0dd5450d79cb4e0775a88d1f8c09569ce43ecbbb`
diff --git a/comfyui_embedded_docs/docs/Flux2Scheduler/en.md b/comfyui_embedded_docs/docs/Flux2Scheduler/en.md
index 8d007f2a7..4a4bcf10a 100644
--- a/comfyui_embedded_docs/docs/Flux2Scheduler/en.md
+++ b/comfyui_embedded_docs/docs/Flux2Scheduler/en.md
@@ -17,4 +17,4 @@ The Flux2Scheduler node generates a sequence of noise levels (sigmas) for the de
| `sigmas` | SIGMAS | A sequence of noise level values (sigmas) that define the denoising schedule for the sampler. |
---
-**Source fingerprint (SHA-256):** `dbe44a6eb454dd61ab22df5770ad5ac559e03b20fd36d17d33730cdb835f7ede`
+**Source fingerprint (SHA-256):** `8276ee111ffc2146f9aff5852e2abf469137aecbf7ed098c521045d206cdc104`
diff --git a/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md b/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md
index ecbb93cc8..8d93c06c9 100644
--- a/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md
+++ b/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md
@@ -15,4 +15,4 @@ This node completely disables the guidance embed functionality for Flux and simi
| `conditioning` | CONDITIONING | The modified conditioning data with guidance disabled |
---
-**Source fingerprint (SHA-256):** `37e544460d5e50542cebb451997c0320f16d822cc5695cb34825d2038866a455`
+**Source fingerprint (SHA-256):** `32d8dd4ac57f273a7064355ef819e720302bdc819b1ebfc93e42257a73e6c632`
diff --git a/comfyui_embedded_docs/docs/FluxKVCache/en.md b/comfyui_embedded_docs/docs/FluxKVCache/en.md
index fcf7b8769..66f19060e 100644
--- a/comfyui_embedded_docs/docs/FluxKVCache/en.md
+++ b/comfyui_embedded_docs/docs/FluxKVCache/en.md
@@ -15,4 +15,4 @@ The Flux KV Cache node enables a Key-Value (KV) Cache optimization for Flux fami
| `model` | MODEL | The patched model with KV Cache optimization enabled. |
---
-**Source fingerprint (SHA-256):** `530c660ae23607d4035815826ae73cdcbebe7693ba47a3b0fe98e69f329b9e86`
+**Source fingerprint (SHA-256):** `bf2b19dd11336bec694a6eb586141fa850e3d0a5102c5d320455f7346738660c`
diff --git a/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md b/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md
index ca4987393..e1b8c13b0 100644
--- a/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md
+++ b/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md
@@ -16,4 +16,4 @@ The FluxKontextMultiReferenceLatentMethod node modifies conditioning data by set
| `conditioning` | CONDITIONING | The modified conditioning data with the reference latents method applied |
---
-**Source fingerprint (SHA-256):** `9d39a8fee08ae347a745b20b3dc39051ee2f4645392e769247ae32be35491048`
+**Source fingerprint (SHA-256):** `822d08ad50f167257f32d74af27a6a7444a61a554108a27e78fea5f40aba4177`
diff --git a/comfyui_embedded_docs/docs/FluxProExpandNode/en.md b/comfyui_embedded_docs/docs/FluxProExpandNode/en.md
index ca88d927a..c9a534766 100644
--- a/comfyui_embedded_docs/docs/FluxProExpandNode/en.md
+++ b/comfyui_embedded_docs/docs/FluxProExpandNode/en.md
@@ -24,4 +24,4 @@ Outpaints image based on prompt. This node expands an image by adding pixels to
| `image` | IMAGE | The expanded output image |
---
-**Source fingerprint (SHA-256):** `15b21f1de8a98a6bcde131a61c01b062434c6a959bc563550d613972412973fe`
+**Source fingerprint (SHA-256):** `d8ef7e28fecd0d08fa8f61c714ada054162668bb961008230bd4d342564af713`
diff --git a/comfyui_embedded_docs/docs/FluxProFillNode/en.md b/comfyui_embedded_docs/docs/FluxProFillNode/en.md
index 7a076a117..cac56a6aa 100644
--- a/comfyui_embedded_docs/docs/FluxProFillNode/en.md
+++ b/comfyui_embedded_docs/docs/FluxProFillNode/en.md
@@ -21,4 +21,4 @@ Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill
| `output_image` | IMAGE | The generated image with the masked areas filled according to the prompt |
---
-**Source fingerprint (SHA-256):** `ae2708d9e4b99ecb142fca0693c3973957c5677e8121eb5e34d30f872d7102c0`
+**Source fingerprint (SHA-256):** `68f9834a58d6e2d14743adafb1f791880f0af30fdb65cb6201af5616945bb56b`
diff --git a/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md b/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md
index 7ceff779a..bd08c87d8 100644
--- a/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md
+++ b/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md
@@ -23,4 +23,4 @@ Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution
| `output_image` | IMAGE | The generated image from Flux Pro 1.1 Ultra |
---
-**Source fingerprint (SHA-256):** `8632aeb76e9007d65d7f3fd51465fe78f56ba92264ef65ce505db2fc95cfd25b`
+**Source fingerprint (SHA-256):** `9a0e3c676456da395845a2bd869abaaca30ed63ee3faf56449a2548fbab46b5c`
diff --git a/comfyui_embedded_docs/docs/FrameInterpolate/en.md b/comfyui_embedded_docs/docs/FrameInterpolate/en.md
index db92d568c..606869d2c 100644
--- a/comfyui_embedded_docs/docs/FrameInterpolate/en.md
+++ b/comfyui_embedded_docs/docs/FrameInterpolate/en.md
@@ -19,4 +19,4 @@ The Frame Interpolate node creates new frames between existing ones in a sequenc
| `IMAGE` | IMAGE | A new batch of images with the interpolated frames inserted between the original frames, resulting in a smoother sequence. The total number of output frames is `(number of input frames - 1) * multiplier + 1`. |
---
-**Source fingerprint (SHA-256):** `05fdac188d9d7c7d5cac9ade55ba22cc743395b3c659a519ca03fe293b9a6e34`
+**Source fingerprint (SHA-256):** `54e1956bf249004315587328e8671d43739659cc00ad26f870214b704566a68b`
diff --git a/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md b/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md
index 928ebf454..7b964cef1 100644
--- a/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md
+++ b/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md
@@ -17,4 +17,4 @@ This node loads a frame interpolation model from a file and prepares it for use
| `FRAME_INTERPOLATION_MODEL` | MODEL | The loaded and configured frame interpolation model, ready for use in other nodes. |
---
-**Source fingerprint (SHA-256):** `497c20d5123bcbfd321dc4a659250ce3e0903e55c3a0274d3ed45710d75573d9`
+**Source fingerprint (SHA-256):** `b39f0aee6e02fb4c7e7268289634cf4d061038512e87ca6bd00aede5660d8196`
diff --git a/comfyui_embedded_docs/docs/FreSca/en.md b/comfyui_embedded_docs/docs/FreSca/en.md
index e05a7e952..41b859312 100644
--- a/comfyui_embedded_docs/docs/FreSca/en.md
+++ b/comfyui_embedded_docs/docs/FreSca/en.md
@@ -18,4 +18,4 @@ The FreSca node applies frequency-dependent scaling to the guidance during the s
| `model` | MODEL | The modified model with frequency-dependent scaling applied to its guidance function |
---
-**Source fingerprint (SHA-256):** `254a28847e082739f80c9637d9657ef618d40db1862b6856c1cda22436438ded`
+**Source fingerprint (SHA-256):** `2ff3517619d856db68a9091ae7c87af8c56a23420fa2176b089bf9700475a7a9`
diff --git a/comfyui_embedded_docs/docs/FreeU/en.md b/comfyui_embedded_docs/docs/FreeU/en.md
index b1a1fb6bc..fca709292 100644
--- a/comfyui_embedded_docs/docs/FreeU/en.md
+++ b/comfyui_embedded_docs/docs/FreeU/en.md
@@ -19,4 +19,4 @@ The FreeU node applies frequency-domain modifications to a model's output blocks
| `model` | MODEL | The modified model with FreeU patches applied |
---
-**Source fingerprint (SHA-256):** `449a02a4bb5b42eb37fab394bcdc6375e08e369961d633618211ebc5f737ab51`
+**Source fingerprint (SHA-256):** `a0f0b165638aa9e88ea415fc966bdac9bfbc13e9a5dcebc9780b31b63ce91f5c`
diff --git a/comfyui_embedded_docs/docs/FreeU_V2/en.md b/comfyui_embedded_docs/docs/FreeU_V2/en.md
index 42015429c..1158f8024 100644
--- a/comfyui_embedded_docs/docs/FreeU_V2/en.md
+++ b/comfyui_embedded_docs/docs/FreeU_V2/en.md
@@ -19,4 +19,4 @@ The FreeU_V2 node enhances image generation quality by applying frequency-based
| `model` | MODEL | The enhanced diffusion model with FreeU modifications applied |
---
-**Source fingerprint (SHA-256):** `40ded64177e8e00cc5d8d5dde35c20958a77c500dada725572b64484c5ce1045`
+**Source fingerprint (SHA-256):** `adbbf0934f4c17fa736035b1396d26d6a5c847fd19a981ddd42d9624bd90e619`
diff --git a/comfyui_embedded_docs/docs/GITSScheduler/en.md b/comfyui_embedded_docs/docs/GITSScheduler/en.md
index 13732448c..bc17c7ec5 100644
--- a/comfyui_embedded_docs/docs/GITSScheduler/en.md
+++ b/comfyui_embedded_docs/docs/GITSScheduler/en.md
@@ -19,4 +19,4 @@ The GITSScheduler node generates noise schedule sigmas for the GITS (Generative
| `sigmas` | SIGMAS | The generated sigma values for the noise schedule |
---
-**Source fingerprint (SHA-256):** `b81b85f95236276822429ec7cbc90204c6f4f86ea3e89ed8b7c2aea40597fea9`
+**Source fingerprint (SHA-256):** `e58c8c1c0e7cbf79554040a6684f12c1a2c59c69bb50770f9577a13d76ac8eb3`
diff --git a/comfyui_embedded_docs/docs/GLSLShader/en.md b/comfyui_embedded_docs/docs/GLSLShader/en.md
index fc15d6fe3..a11b03e8a 100644
--- a/comfyui_embedded_docs/docs/GLSLShader/en.md
+++ b/comfyui_embedded_docs/docs/GLSLShader/en.md
@@ -10,18 +10,18 @@ The GLSL Shader node applies custom GLSL ES fragment shader code to input images
| `size_mode` | COMBO | Yes | `"from_input"` `"custom"` | Output size: 'from_input' uses first input image dimensions, 'custom' allows manual size. |
| `width` | INT | No | 1 to 16384 | The width of the output image when `size_mode` is set to `"custom"`. Default: 512. |
| `height` | INT | No | 1 to 16384 | The height of the output image when `size_mode` is set to `"custom"`. Default: 512. |
-| `images` | IMAGE | Yes | 1 to 8 images | Input images to be processed by the shader. Images are available as `u_image0` to `u_image7` (sampler2D) in the shader code. |
-| `floats` | FLOAT | No | 0 to 8 floats | Floating-point uniform values for the shader. Floats are available as `u_float0` to `u_float7` in the shader code. Default: 0.0. |
-| `ints` | INT | No | 0 to 8 integers | Integer uniform values for the shader. Ints are available as `u_int0` to `u_int7` in the shader code. Default: 0. |
-| `bools` | BOOLEAN | No | 0 to 8 booleans | Boolean uniform values for the shader. Booleans are available as `u_bool0` to `u_bool7` (bool) in the shader code. Default: False. |
-| `curves` | CURVE | No | 0 to 8 curves | Curve uniform values for the shader. Curves are available as `u_curve0` to `u_curve7` (sampler2D, 1D LUT) in the shader code. Sample with `texture(u_curve0, vec2(x, 0.5)).r`. |
+| `images` | IMAGE | Yes | 1 to 5 images | Input images to be processed by the shader. Images are available as `u_image0` to `u_image4` (sampler2D) in the shader code. |
+| `floats` | FLOAT | No | 0 to 20 floats | Floating-point uniform values for the shader. Floats are available as `u_float0` to `u_float19` in the shader code. Default: 0.0. |
+| `ints` | INT | No | 0 to 20 integers | Integer uniform values for the shader. Ints are available as `u_int0` to `u_int19` in the shader code. Default: 0. |
+| `bools` | BOOLEAN | No | 0 to 10 booleans | Boolean uniform values for the shader. Booleans are available as `u_bool0` to `u_bool9` (bool) in the shader code. Default: False. |
+| `curves` | CURVE | No | 0 to 4 curves | Curve uniform values for the shader. Curves are available as `u_curve0` to `u_curve3` (sampler2D, 1D LUT) in the shader code. Sample with `texture(u_curve0, vec2(x, 0.5)).r`. |
**Notes:**
* The `width` and `height` parameters are only required and visible when `size_mode` is set to `"custom"`.
* At least one input image is required.
* The shader code always has access to a `u_resolution` (vec2) uniform containing the output dimensions.
-* A maximum of 8 input images, 8 float uniforms, 8 integer uniforms, 8 boolean uniforms, and 8 curve uniforms can be provided.
+* A maximum of 5 input images, 20 float uniforms, 20 integer uniforms, 10 boolean uniforms, and 4 curve uniforms can be provided.
## Outputs
@@ -33,4 +33,4 @@ The GLSL Shader node applies custom GLSL ES fragment shader code to input images
| `IMAGE3` | IMAGE | The fourth output image from the shader. Available via `layout(location = 3) out vec4 fragColor3` in the shader code. |
---
-**Source fingerprint (SHA-256):** `7830977409a5efab205b7c927eb83499a9e1e8299959b34643c9c3f1f586c058`
+**Source fingerprint (SHA-256):** `ded589d5b0cb5413ecc42c7177e3076427ceac1d3218a20cfec6f2e005fe7e27`
diff --git a/comfyui_embedded_docs/docs/GeminiImage2Node/en.md b/comfyui_embedded_docs/docs/GeminiImage2Node/en.md
index b9fb98f22..b5ed13616 100644
--- a/comfyui_embedded_docs/docs/GeminiImage2Node/en.md
+++ b/comfyui_embedded_docs/docs/GeminiImage2Node/en.md
@@ -29,4 +29,4 @@ The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini m
| `string` | STRING | The text response from the model. This output will be empty if `response_modalities` is set to "IMAGE". |
---
-**Source fingerprint (SHA-256):** `20a937a635f883a42e22582ae415f6d2a9a6ecc50f147c9090431877e5461144`
+**Source fingerprint (SHA-256):** `5814a952815288c0b4b5962f646c69b0e618bfb9ab92b31ba60eab313c68a01c`
diff --git a/comfyui_embedded_docs/docs/GeminiInputFiles/en.md b/comfyui_embedded_docs/docs/GeminiInputFiles/en.md
index 7e3ae4e31..2a68b85c0 100644
--- a/comfyui_embedded_docs/docs/GeminiInputFiles/en.md
+++ b/comfyui_embedded_docs/docs/GeminiInputFiles/en.md
@@ -6,10 +6,10 @@ Loads and formats input files for use with the Gemini API. This node allows user
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `file` | COMBO | Yes | Multiple options available | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit. |
+| `file` | COMBO | Yes | Multiple options available (only .txt and .pdf files under 20 MB) | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit (20 MB). |
| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. |
-**Note:** The `file` parameter only displays text (.txt) and PDF (.pdf) files that are smaller than the maximum input file size limit. Files are automatically filtered and sorted by name.
+**Note:** The `file` parameter only displays text (.txt) and PDF (.pdf) files that are smaller than 20 MB. Files are automatically filtered and sorted by name.
## Outputs
@@ -18,4 +18,4 @@ Loads and formats input files for use with the Gemini API. This node allows user
| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Formatted file data ready for use with Gemini LLM nodes, containing the loaded file content in the appropriate API format. |
---
-**Source fingerprint (SHA-256):** `54da8696d144513efa9660fbc5ddbf5480da12eafe4d2791c8e81cd207ef8a52`
+**Source fingerprint (SHA-256):** `dc8ddfffc13984b2d0cc08a50f2a8c26f9608724f632ab49fdeff12bc2e5424a`
diff --git a/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md b/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md
index fb05fa3dc..23a6f2019 100644
--- a/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md
+++ b/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md
@@ -28,4 +28,4 @@ The GeminiNanoBanana2 node generates or edits images using Google's Vertex AI Ge
| `thought_image` | IMAGE | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. |
---
-**Source fingerprint (SHA-256):** `bd53363da73ff0db66a872fc04f1af8ce4dfee1191ca01bd813701b5ad5e4f17`
+**Source fingerprint (SHA-256):** `6dae505011e2860cbf2ec6ccb5a32949d5daa3fe3546e85181050fd9ac92b9e5`
diff --git a/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md b/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md
index 6d083ed76..d3c021ee3 100644
--- a/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md
+++ b/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md
@@ -9,12 +9,12 @@ This node generates or edits images by sending a text prompt to Google's Vertex
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. |
-| `model` | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | Selects the Gemini model to use for image generation. Currently only one option is available. |
+| `model` | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | Selects the Gemini model to use for image generation. Currently only one option is available. This parameter includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. |
| `seed` | INT | Yes | 0 to 18446744073709551615 | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) |
| `response_modalities` | COMBO | Yes | `"IMAGE"` `"IMAGE+TEXT"` | Determines the format of the response. Choose "IMAGE" to receive only an image, or "IMAGE+TEXT" to receive both an image and a text description. (default: "IMAGE") |
-| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. This is an advanced parameter. |
+| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. This is an advanced parameter. (default: A pre-defined system prompt instructing the model to always produce an image) |
-**Note on `model` parameter:** The `model` parameter is a dynamic combo that includes additional sub-parameters for resolution, aspect ratio, and thinking level. These sub-parameters are defined within the model selection and are not listed as separate inputs in this table.
+**Note on `model` parameter:** The `model` parameter is a dynamic combo that includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. These sub-parameters are defined within the model selection and are not listed as separate inputs in this table.
**Note on image input:** You can provide up to 14 images as input to the model. These images are passed through the `model` parameter's image sub-field and are used for editing or as visual context for generation.
@@ -27,4 +27,4 @@ This node generates or edits images by sending a text prompt to Google's Vertex
| `thought_image` | IMAGE | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. |
---
-**Source fingerprint (SHA-256):** `6b91afcdd12e08ff0e3afdbb5596bfd63463cda4d2b031019dedf03bd122fa87`
+**Source fingerprint (SHA-256):** `0b9af4e937874f2e192f3dc0b67f8e769b37d6595fbddb7a326b1f13e3e444d3`
diff --git a/comfyui_embedded_docs/docs/GeminiNode/en.md b/comfyui_embedded_docs/docs/GeminiNode/en.md
index c0c14d48e..19cc42aa2 100644
--- a/comfyui_embedded_docs/docs/GeminiNode/en.md
+++ b/comfyui_embedded_docs/docs/GeminiNode/en.md
@@ -22,4 +22,4 @@ This node allows users to interact with Google's Gemini AI models to generate te
| `STRING` | STRING | The text response generated by the Gemini model. |
---
-**Source fingerprint (SHA-256):** `6addc7c0bc0c5889ddd6dbcb72b0b608ab738189990c591eb7160f849f6b5374`
+**Source fingerprint (SHA-256):** `c7f01d4d4f748a3a80c6e68ccd509cc1da03ed041bd2eaa8124887e7d02eb576`
diff --git a/comfyui_embedded_docs/docs/GenerateTracks/en.md b/comfyui_embedded_docs/docs/GenerateTracks/en.md
index a1dcc7fbd..4c014aaf4 100644
--- a/comfyui_embedded_docs/docs/GenerateTracks/en.md
+++ b/comfyui_embedded_docs/docs/GenerateTracks/en.md
@@ -31,4 +31,4 @@ The `GenerateTracks` node creates multiple parallel motion paths for video gener
| `track_length` | INT | The number of frames for which tracks were generated, matching the input `num_frames`. |
---
-**Source fingerprint (SHA-256):** `3dca1cabaee8738e2a68acafed47ad347019d03c9b7f0d1392b3fdf97d0e8add`
+**Source fingerprint (SHA-256):** `e4070f3f092bccaf8410800e36b97f5dc56584847221cfeca469b2bb4ca44355`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/ar.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/ar.md
new file mode 100644
index 000000000..6a50ef9fb
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/ar.md
@@ -0,0 +1,20 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ar.md)
+
+## نظرة عامة
+
+تستخرج هذه العقدة معاملات IC-LoRA من البيانات الوصفية لنموذج محمّل بـ LoRA. تقوم بقراءة بيانات safetensors الوصفية للعثور على قيم مثل معامل تقليل القياس المرجعي، وتُخرجها ككائن معاملات منظم، يمكن توصيله بعقدة LTXVAddGuide للمعالجة الخاصة للأدلة.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | نعم | غير متاح | المخرج المباشر من محمّل LoRA الخاص بـ IC-LoRA المحدد لاستخراج البيانات الوصفية منه. |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | معاملات IC-LoRA المستخرجة من البيانات الوصفية لـ LoRA (مثل: معامل تقليل القياس المرجعي). قم بتوصيله بعقدة LTXVAddGuide إذا كان LoRA يتطلب معالجة خاصة للأدلة. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md
new file mode 100644
index 000000000..9f0a0feea
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md
@@ -0,0 +1,20 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md)
+
+## Overview
+
+This node extracts IC-LoRA parameters from the metadata of a LoRA-loaded model. It reads the safetensors metadata to find values like the reference downscale factor and outputs them as a structured parameter object, which can be connected to the LTXVAddGuide node for special guide handling.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | Yes | N/A | Direct output from a LoRA Loader for the specific IC-LoRA from which to extract the metadata. |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | IC-LoRA parameters extracted from the LoRA metadata (e.g., reference_downscale_factor). Connect to LTXVAddGuide if the LoRA requires special handling of the guides. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/es.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/es.md
new file mode 100644
index 000000000..31b847648
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/es.md
@@ -0,0 +1,20 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/es.md)
+
+## Descripción general
+
+Este nodo extrae los parámetros IC-LoRA de los metadatos de un modelo cargado con LoRA. Lee los metadatos de safetensors para encontrar valores como el factor de reducción de escala de referencia y los genera como un objeto de parámetros estructurado, que puede conectarse al nodo LTXVAddGuide para un manejo especial de guías.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `iclora_model` | MODEL | Sí | N/A | Salida directa de un cargador LoRA para el IC-LoRA específico del cual extraer los metadatos. |
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | Parámetros IC-LoRA extraídos de los metadatos LoRA (p. ej., factor de reducción de escala de referencia). Conéctelo a LTXVAddGuide si el LoRA requiere un manejo especial de las guías. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/fa.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/fa.md
new file mode 100644
index 000000000..ba35f009a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/fa.md
@@ -0,0 +1,20 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/fa.md)
+
+## مرور کلی
+
+این گره پارامترهای IC-LoRA را از فراداده (metadata) یک مدل بارگذاریشده با LoRA استخراج میکند. با خواندن فرادادههای safetensors، مقادیری مانند ضریب کاهش مقیاس مرجع (reference downscale factor) را پیدا کرده و بهعنوان یک شیء پارامتر ساختاریافته خروجی میدهد. این خروجی میتواند به گره `LTXVAddGuide` برای مدیریت ویژه راهنماها متصل شود.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `iclora_model` | MODEL | بله | N/A | خروجی مستقیم از یک بارگذار LoRA برای IC-LoRA خاصی که میخواهید فراداده آن استخراج شود. |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | پارامترهای IC-LoRA استخراجشده از فراداده LoRA (مانند reference_downscale_factor). در صورت نیاز LoRA به مدیریت ویژه راهنماها، به گره `LTXVAddGuide` متصل کنید. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/fr.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/fr.md
new file mode 100644
index 000000000..55f851e62
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/fr.md
@@ -0,0 +1,22 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/fr.md)
+
+Voici la traduction de la documentation en français, conformément à vos règles :
+
+## Aperçu
+
+Ce nœud extrait les paramètres IC-LoRA à partir des métadonnées d’un modèle chargé avec un LoRA. Il lit les métadonnées du fichier safetensors pour trouver des valeurs telles que le facteur de sous-échantillonnage de référence et les produit sous forme d’un objet paramètre structuré, qui peut être connecté au nœud LTXVAddGuide pour une gestion spéciale des guides.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `iclora_model` | MODEL | Oui | N/A | Sortie directe d’un chargeur LoRA pour le IC-LoRA spécifique dont les métadonnées doivent être extraites. |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | Paramètres IC-LoRA extraits des métadonnées du LoRA (par exemple, reference_downscale_factor). Connectez à LTXVAddGuide si le LoRA nécessite une gestion spéciale des guides. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md
new file mode 100644
index 000000000..0255b5597
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md
@@ -0,0 +1,20 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md)
+
+## 概要
+
+このノードは、LoRAが読み込まれたモデルのメタデータからIC-LoRAパラメータを抽出します。safetensorsのメタデータを読み取り、参照ダウンスケール係数などの値を取得し、構造化されたパラメータオブジェクトとして出力します。この出力は、特別なガイド処理のためにLTXVAddGuideノードに接続することができます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | はい | なし | メタデータを抽出する特定のIC-LoRA用のLoRAローダーからの直接出力。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | LoRAメタデータから抽出されたIC-LoRAパラメータ（例：reference_downscale_factor）。LoRAがガイドの特別な処理を必要とする場合は、LTXVAddGuideに接続してください。 |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/ko.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/ko.md
new file mode 100644
index 000000000..dedf83d30
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/ko.md
@@ -0,0 +1,20 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ko.md)
+
+## 개요
+
+이 노드는 LoRA가 로드된 모델의 메타데이터에서 IC-LoRA 파라미터를 추출합니다. safetensors 메타데이터를 읽어 참조 다운스케일 팩터와 같은 값을 찾아 구조화된 파라미터 객체로 출력하며, 이 객체는 특수 가이드 처리를 위해 LTXVAddGuide 노드에 연결할 수 있습니다.
+
+## 입력
+
+| 파라미터 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | 예 | 해당 없음 | 메타데이터를 추출할 특정 IC-LoRA용 LoRA 로더의 직접 출력입니다. |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | LoRA 메타데이터에서 추출된 IC-LoRA 파라미터(예: reference_downscale_factor)입니다. LoRA에 가이드 특수 처리가 필요한 경우 LTXVAddGuide에 연결하십시오. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/pt-BR.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/pt-BR.md
new file mode 100644
index 000000000..99fcfd311
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/pt-BR.md
@@ -0,0 +1,22 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md)
+
+## Visão Geral
+
+Este nó extrai parâmetros IC-LoRA dos metadados de um modelo carregado com LoRA. Ele lê os metadados do safetensors para encontrar valores como o fator de redução de referência e os gera como um objeto de parâmetros estruturado, que pode ser conectado ao nó LTXVAddGuide para tratamento especial de guias.
+
+## Entradas
+
+| Parâmetro | Tipo de Dados | Obrigatório | Intervalo | Descrição |
+|-----------|---------------|-------------|-----------|-----------|
+| `iclora_model` | MODEL | Sim | N/A | Saída direta de um Carregador LoRA para o IC-LoRA específico do qual extrair os metadados. |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dados | Descrição |
+|---------------|---------------|-----------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | Parâmetros IC-LoRA extraídos dos metadados do LoRA (ex.: fator de redução de referência). Conecte ao LTXVAddGuide se o LoRA exigir tratamento especial das guias. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/ru.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/ru.md
new file mode 100644
index 000000000..8b165f885
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/ru.md
@@ -0,0 +1,20 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ru.md)
+
+## Обзор
+
+Этот узел извлекает параметры IC-LoRA из метаданных модели, загруженной с помощью LoRA. Он считывает метаданные safetensors для поиска таких значений, как коэффициент понижения разрешения эталонного изображения, и выводит их в виде структурированного объекта параметров, который можно подключить к узлу LTXVAddGuide для специальной обработки направляющих.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `iclora_model` | MODEL | Да | Н/Д | Прямой выход из загрузчика LoRA для конкретной IC-LoRA, из которой необходимо извлечь метаданные. |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | Параметры IC-LoRA, извлеченные из метаданных LoRA (например, коэффициент понижения разрешения эталонного изображения). Подключите к LTXVAddGuide, если LoRA требует специальной обработки направляющих. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/tr.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/tr.md
new file mode 100644
index 000000000..b47b8d825
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/tr.md
@@ -0,0 +1,20 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, bir LoRA yüklenmiş modelin meta verilerinden IC-LoRA parametrelerini çıkarır. Referans küçültme faktörü gibi değerleri bulmak için safetensors meta verilerini okur ve bunları yapılandırılmış bir parametre nesnesi olarak çıktılar; bu nesne, özel kılavuz işleme için LTXVAddGuide düğümüne bağlanabilir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | Evet | Yok | Meta verilerin çıkarılacağı belirli IC-LoRA için bir LoRA Yükleyici'den doğrudan çıktı. |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | LoRA meta verilerinden çıkarılan IC-LoRA parametreleri (örneğin, reference_downscale_factor). LoRA, kılavuzların özel işlenmesini gerektiriyorsa LTXVAddGuide'a bağlayın. |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/zh-TW.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/zh-TW.md
new file mode 100644
index 000000000..f4050e895
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/zh-TW.md
@@ -0,0 +1,20 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/zh-TW.md)
+
+## 概述
+
+此節點從已載入 LoRA 模型的元資料中提取 IC-LoRA 參數。它會讀取 safetensors 元資料以尋找如參考降採樣因子（reference downscale factor）等數值，並將其輸出為結構化的參數物件，可連接到 LTXVAddGuide 節點以進行特殊的引導處理。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | 是 | 無 | 直接從 LoRA 載入器輸出，用於指定要提取元資料的特定 IC-LoRA。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | 從 LoRA 元資料中提取的 IC-LoRA 參數（例如：reference_downscale_factor）。如果該 LoRA 需要對引導進行特殊處理，請連接到 LTXVAddGuide。 |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetICLoRAParameters/zh.md b/comfyui_embedded_docs/docs/GetICLoRAParameters/zh.md
new file mode 100644
index 000000000..fa785c924
--- /dev/null
+++ b/comfyui_embedded_docs/docs/GetICLoRAParameters/zh.md
@@ -0,0 +1,20 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/zh.md)
+
+## ## 概述
+
+此节点从已加载 LoRA 模型的元数据中提取 IC-LoRA 参数。它会读取 safetensors 元数据以查找参考降采样因子等值，并将它们输出为结构化的参数对象，该对象可连接到 LTXVAddGuide 节点以进行特殊引导处理。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `iclora_model` | MODEL | 是 | 无 | 直接从 LoRA 加载器输出的特定 IC-LoRA，用于提取其元数据。 |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `iclora_parameters` | IC_LORA_PARAMETERS | 从 LoRA 元数据中提取的 IC-LoRA 参数（例如：reference_downscale_factor）。如果该 LoRA 需要对引导进行特殊处理，则连接到 LTXVAddGuide。 |
+
+---
+**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50`
diff --git a/comfyui_embedded_docs/docs/GetImageSize/en.md b/comfyui_embedded_docs/docs/GetImageSize/en.md
index fafdf6849..cd9fbce44 100644
--- a/comfyui_embedded_docs/docs/GetImageSize/en.md
+++ b/comfyui_embedded_docs/docs/GetImageSize/en.md
@@ -17,4 +17,4 @@ The GetImageSize node extracts the dimensions and batch information from an inpu
| `batch_size` | INT | The number of images in the batch |
---
-**Source fingerprint (SHA-256):** `5cd19ae762d2403c6c5d0740cd5f8c17913daea737fddcff8f0d9da2210e82ab`
+**Source fingerprint (SHA-256):** `251c8480ccb1a1462a8d7656ce2b7ef33f2b9f6527b8b306a0850af16ef4094d`
diff --git a/comfyui_embedded_docs/docs/GetVideoComponents/en.md b/comfyui_embedded_docs/docs/GetVideoComponents/en.md
index fdd5155bd..aa4a4a2d3 100644
--- a/comfyui_embedded_docs/docs/GetVideoComponents/en.md
+++ b/comfyui_embedded_docs/docs/GetVideoComponents/en.md
@@ -17,4 +17,4 @@ The Get Video Components node extracts all the main elements from a video file.
| `fps` | FLOAT | The framerate of the video in frames per second. |
---
-**Source fingerprint (SHA-256):** `7b8419d6614d5be0ec15ccfeb48ee9813c74b28b0b405d62c03496c133c92f53`
+**Source fingerprint (SHA-256):** `de129130ed4b82d875c4e8c660209b88172e3cdd41fed8c822fb7e807c92ed47`
diff --git a/comfyui_embedded_docs/docs/GrokImageEditNode/en.md b/comfyui_embedded_docs/docs/GrokImageEditNode/en.md
index 385f15667..0ee2f2d60 100644
--- a/comfyui_embedded_docs/docs/GrokImageEditNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokImageEditNode/en.md
@@ -25,4 +25,4 @@ The Grok Image Edit node modifies an existing image based on a text prompt. It u
| `output` | IMAGE | The edited image(s) generated by the node. If `number_of_images` is greater than 1, the outputs are concatenated into a batch. |
---
-**Source fingerprint (SHA-256):** `021d867e9e04451c0c4ef035c19fa86ebc8d4a3f64572aff33f493324d7fe308`
+**Source fingerprint (SHA-256):** `31cfe7ad382033f69330ed4de1ec831ccc25156498563e1541368e2662ed3ddb`
diff --git a/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md b/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md
index 7f0dc0bfd..a711962f0 100644
--- a/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md
+++ b/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md
@@ -9,7 +9,7 @@ Modify an existing image based on a text prompt. This node sends your images and
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. |
-| `model` | MODEL | Yes | See Description | The Grok image model to use. This parameter has multiple sub-options that appear after selecting a model. Available models: `grok-imagine-image-quality`, `grok-imagine-image-pro`, `grok-imagine-image`. Each model has different capabilities (see note below). |
+| `model` | MODEL | Yes | See Description | The Grok image model to use. This parameter has multiple sub-options that appear after selecting a model. Available models: `grok-imagine-image-quality` `grok-imagine-image-pro` `grok-imagine-image`. Each model has different capabilities (see note below). |
| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) |
**Note on `model` parameter constraints:**
@@ -27,4 +27,4 @@ Modify an existing image based on a text prompt. This node sends your images and
| `IMAGE` | IMAGE | The edited image(s) returned by the Grok API. If a single image is generated, it is returned directly. If multiple images are generated, they are concatenated into a single batch tensor. |
---
-**Source fingerprint (SHA-256):** `b041b40bb5712a67b09dcb0c841f00cbdd9ef77b9e4f3fdc6b2c4038be447ba5`
+**Source fingerprint (SHA-256):** `90ace53f5f2e40da315d4940fa801d84950de6db2d8ed1cf9d715d88a2b1ebf0`
diff --git a/comfyui_embedded_docs/docs/GrokImageNode/en.md b/comfyui_embedded_docs/docs/GrokImageNode/en.md
index f1058ad4d..703116b17 100644
--- a/comfyui_embedded_docs/docs/GrokImageNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokImageNode/en.md
@@ -24,4 +24,4 @@ The Grok Image node generates one or more images based on a text description usi
| `output` | IMAGE | The generated image or a batch of images. If `number_of_images` is 1, a single image tensor is returned. If greater than 1, a batch of image tensors is returned. |
---
-**Source fingerprint (SHA-256):** `5c8a76d3636dea8bcc6ade0d8adb6e6d1610b518a31e15fc7fce3f107fe63953`
+**Source fingerprint (SHA-256):** `f4af858c6b94fd74be1856849417609f3d45fc0f139e8f2e56cdabb6e3521076`
diff --git a/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md b/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md
index 02b963dec..b8dfb8c9f 100644
--- a/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md
@@ -24,4 +24,4 @@ This node uses the Grok API to edit an existing video based on a text prompt. It
| `video` | VIDEO | The edited video generated by the AI model. |
---
-**Source fingerprint (SHA-256):** `dfe52a089f7bfe7abc7f40ef113c44aef2dded828221d9d1acf0ddb6a167c33f`
+**Source fingerprint (SHA-256):** `04cdc989b48445562017cd2c2066c773473c5c241ed94ff6eca00b8aadf4c6df`
diff --git a/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md b/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md
index ab84874bb..e3e89d36a 100644
--- a/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md
@@ -23,4 +23,4 @@ The Grok Video Extend node uses an AI model to create a seamless continuation of
| `output` | VIDEO | The newly generated video extension. |
---
-**Source fingerprint (SHA-256):** `a33383be0eb6857538a75e1b901ee58df0153dfeaf95a7ee19933d651b745b5f`
+**Source fingerprint (SHA-256):** `7e56ecb0cb31795b4124671e074ef274d6de61ec2cd734b6edd5e76a3cb6a7ba`
diff --git a/comfyui_embedded_docs/docs/GrokVideoNode/en.md b/comfyui_embedded_docs/docs/GrokVideoNode/en.md
index 22d65efdd..3a2728e42 100644
--- a/comfyui_embedded_docs/docs/GrokVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoNode/en.md
@@ -23,4 +23,4 @@ The Grok Video node generates a short video from a text description. It can crea
| `output` | VIDEO | The generated video. |
---
-**Source fingerprint (SHA-256):** `d48049fafbe4dbf50eb5a42495d445fa4c7fc590a1d70267e220ccedc2f5328a`
+**Source fingerprint (SHA-256):** `7b4bcd25cfe620b4593c16a2cb2a288e47f9791ae2c60d56b79009bc62bac6e2`
diff --git a/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md b/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md
index c68b916b9..6739c2547 100644
--- a/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md
@@ -23,4 +23,4 @@ The Grok Reference-to-Video node generates a video based on a text prompt, using
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `e368769b869b7a0d0be8e6fdcc2b82774c11805483b2e83a448b6985a6dd9f96`
+**Source fingerprint (SHA-256):** `df50e80ca403d05469881e1c456ca4777d70989d8950c5e3844271c3ff8df85a`
diff --git a/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md b/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md
index aa12ecfe7..3939093f9 100644
--- a/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md
@@ -23,4 +23,4 @@ This node generates a short video from a single starting image using the HappyHo
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `e10ad61abd92df7ad6dd3ac70cc6af35faf0413798f4cff32c81194695bb0bed`
+**Source fingerprint (SHA-256):** `b8764d68024b7d2a526b6cc3e1e56c3240b1aa55f31a07263e7014d4f6c67509`
diff --git a/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md b/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md
index 2edbf7cd5..d7338a78f 100644
--- a/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md
@@ -24,4 +24,4 @@ This node generates a video featuring a person or object based on reference imag
| `VIDEO` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `9162e150aef4cbafa42d59055bdff953e9c21b1e5fbf7c800629e570ee4cd0f9`
+**Source fingerprint (SHA-256):** `42c844db22ed2284bd16bd28fe0060652248ada0d5d31003134768ed5e44356c`
diff --git a/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md b/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md
index cec592f64..5b7923f1c 100644
--- a/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md
@@ -8,7 +8,7 @@ Generates a video based on a text prompt using the HappyHorse model. This node s
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | DICT | Yes | See Description | A dictionary containing the model selection and its associated parameters. The model must be `"happyhorse-1.0-t2v"`. This dictionary includes the following sub-parameters:
**`prompt`** (STRING): The text description of the video you want to generate. Supports English and Chinese. (default: ""). **`resolution`** (COMBO): The resolution of the output video. Options: `"720P"`, `"1080P"`. **`ratio`** (COMBO): The aspect ratio of the output video. Options: `"16:9"`, `"9:16"`, `"1:1"`, `"4:3"`, `"3:4"`. **`duration`** (INT): The length of the video in seconds. (default: 5, min: 3, max: 15, step: 1). |
+| `model` | DICT | Yes | See Description | A dictionary containing the model selection and its associated parameters. The model must be `"happyhorse-1.0-t2v"`. This dictionary includes the following sub-parameters:
**`prompt`** (STRING): The text description of the video you want to generate. Supports English and Chinese. (default: ""). **`resolution`** (COMBO): The resolution of the output video. Options: `"720P"` `"1080P"`. **`ratio`** (COMBO): The aspect ratio of the output video. Options: `"16:9"` `"9:16"` `"1:1"` `"4:3"` `"3:4"`. **`duration`** (INT): The length of the video in seconds. (default: 5, min: 3, max: 15, step: 1). |
| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation. Using the same seed with the same inputs will produce the same result. (default: 0). |
| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result. (default: False). |
@@ -19,4 +19,4 @@ Generates a video based on a text prompt using the HappyHorse model. This node s
| `VIDEO` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `8c6a7c0c2b10bbc65ca54abc991e1f12e8846b31701ed65b49c5d71f1b2a63ec`
+**Source fingerprint (SHA-256):** `8e2c0aaab2c8918079c5ec02916375e9a11b0e745d3296155f37c0128a9dbc3c`
diff --git a/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md b/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md
index d0ea6f6e0..0947017f6 100644
--- a/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md
@@ -32,4 +32,4 @@ The `model` parameter is a dictionary with the following fields:
| `video` | VIDEO | The edited video output. |
---
-**Source fingerprint (SHA-256):** `af6747efbea1c65e4909d35dad009cbc2ffaad787d0f2031581c227deb9bf53c`
+**Source fingerprint (SHA-256):** `eadb446a8dbcc524a8bb6a2ee48941136f8c1ec2cb64aa9061fb1fa22e1b683d`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ar.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ar.md
new file mode 100644
index 000000000..94a00ee93
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ar.md
@@ -0,0 +1,30 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ar.md)
+
+نظرة عامة
+
+تعمل هذه العقدة على تقليل اللحامات المرئية في الصور المولدة بواسطة نموذج HiDream-O1 من خلال حساب متوسط مخرجات النموذج عبر مواضع شبكة رقعة متعددة ومزاحة خلال الجزء المتأخر من عملية أخذ العينات. تعمل عن طريق تشغيل النموذج عدة مرات بمحاذاة صور مختلفة قليلاً ومزج النتائج معًا، مما يساعد في إلغاء القطع الأثرية الشبيهة بالشبكة التي قد تظهر عند حدود الرقع.
+
+المدخلات
+
+| المعامل | نوع البيانات | إجباري | النطاق | الوصف |
+|---------|---------------|--------|---------|-------------|
+| `النموذج` | MODEL | نعم | - | نموذج HiDream-O1 الذي سيتم تطبيق تنعيم اللحامات عليه. |
+| `نسبة البداية` | FLOAT | نعم | 0.0 إلى 1.0 (خطوة: 0.01) | تقدم أخذ العينات (0=البداية، 1=النهاية) الذي يتم عنده تشغيل تأثير التنعيم (الافتراضي: 0.8). |
+| `نسبة النهاية` | FLOAT | نعم | 0.0 إلى 1.0 (خطوة: 0.01) | تقدم أخذ العينات الذي يتم عنده إيقاف تشغيل تأثير التنعيم (الافتراضي: 1.0). |
+| `النمط` | COMBO | نعم | `"single_shift"` `"symmetric"` | تخطيط مواضع شبكة الرقع المزاحة. `single_shift`: تمريرة واحدة على شبكة الرقع الطبيعية بالإضافة إلى أخرى مزاحة. `symmetric`: جميع التمريرات خارج الشبكة، مع تقسيم الإزاحات حول نقطة الأصل (الافتراضي: `"single_shift"`). |
+| `عدد التمريرات` | COMBO | نعم | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | عدد التمريرات (تشغيلات النموذج) لكل خطوة مقيدة. `2` أو `4` هي أعداد ثابتة. `ramp_2_4` و `ramp_2_4_8` يزيدان عدد التمريرات مع اقتراب أخذ العينات من النهاية، مما يوفر تنعيمًا أكبر حيث تكون اللحامات أكثر وضوحًا (الافتراضي: `"2"`). |
+| `المزج` | COMBO | نعم | `"average"` `"window"` `"median"` | الطريقة المستخدمة لدمج النتائج من كل تمريرة. `average`: متوسط متساوي الأوزان لجميع التمريرات. `window`: يستخدم نافذة هان لإعطاء وزن أكبر لمركز كل تمريرة، مما يقلل من القطع الأثرية عند الحدود. `median`: يأخذ الوسيط لكل بكسل، والذي يمكنه رفض التمريرات الشاذة الناتجة عن الالتفاف (الافتراضي: `"average"`). |
+| `القوة` | FLOAT | نعم | 0.0 إلى 1.0 (خطوة: 0.01) | يتحكم في الاستيفاء بين مخرجات النموذج الأصلية (0.0) والنتيجة المنعمة بالكامل (1.0) (الافتراضي: 1.0). |
+
+ملاحظة حول قيود المعاملات:
+- لن يتم تطبيق تأثير التنعيم إذا كانت قيمة `strength` تساوي 0.0 أو أقل، أو إذا كانت قيمة `end_percent` أقل من أو تساوي `start_percent`.
+- خيارات التدرج لمعامل `passes` (`ramp_2_4`، `ramp_2_4_8`) تكون ذات معنى فقط عندما يحدد `start_percent` و `end_percent` نطاقًا، حيث يزداد عدد التمريرات مع تقدم أخذ العينات عبر ذلك النطاق.
+
+المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|-------------|
+| `النموذج` | MODEL | النموذج المعدل مع تطبيق غلاف تنعيم اللحامات. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md
new file mode 100644
index 000000000..5b59eea17
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md
@@ -0,0 +1,30 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md)
+
+## Overview
+
+This node reduces visible seams in images generated by the HiDream-O1 model by averaging the model's output across multiple shifted patch-grid positions during the later part of the sampling process. It works by running the model several times with slightly different image alignments and blending the results together, which helps cancel out the grid-like artifacts that can appear at patch boundaries.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | Yes | - | The HiDream-O1 model to apply seam smoothing to. |
+| `start_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The sampling progress (0=start, 1=end) at which the smoothing effect turns ON (default: 0.8). |
+| `end_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The sampling progress at which the smoothing effect turns OFF (default: 1.0). |
+| `pattern` | COMBO | Yes | `"single_shift"` `"symmetric"` | The layout of the shifted grid positions. `single_shift`: one pass at the natural patch grid plus others offset. `symmetric`: all passes are off-grid, with shifts split around the origin (default: `"single_shift"`). |
+| `passes` | COMBO | Yes | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | The number of passes (model runs) per gated step. `2` or `4` are fixed counts. `ramp_2_4` and `ramp_2_4_8` increase the pass count as sampling approaches the end, providing more smoothing where seams are most visible (default: `"2"`). |
+| `blend` | COMBO | Yes | `"average"` `"window"` `"median"` | The method used to combine the results from each pass. `average`: equal-weight mean of all passes. `window`: uses a Hann window to give more weight to the center of each pass, reducing boundary artifacts. `median`: takes the per-pixel median, which can reject outlier passes caused by wraparound (default: `"average"`). |
+| `strength` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | Controls the interpolation between the original model output (0.0) and the fully smoothed result (1.0) (default: 1.0). |
+
+**Note on Parameter Constraints:**
+- The smoothing effect will not be applied if `strength` is 0.0 or less, or if `end_percent` is less than or equal to `start_percent`.
+- The `passes` parameter's ramp options (`ramp_2_4`, `ramp_2_4_8`) are only meaningful when `start_percent` and `end_percent` define a range, as the number of passes increases as sampling progresses through that range.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `model` | MODEL | The modified model with the seam smoothing wrapper applied. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/es.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/es.md
new file mode 100644
index 000000000..f70652339
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/es.md
@@ -0,0 +1,30 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/es.md)
+
+# Descripción General
+
+Este nodo reduce las costuras visibles en imágenes generadas por el modelo HiDream-O1 promediando la salida del modelo en múltiples posiciones de cuadrícula desplazadas durante la parte final del proceso de muestreo. Funciona ejecutando el modelo varias veces con alineaciones de imagen ligeramente diferentes y combinando los resultados, lo que ayuda a cancelar los artefactos en forma de cuadrícula que pueden aparecer en los bordes de los parches.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|-------------|-------------|-------|-------------|
+| `modelo` | MODEL | Sí | - | El modelo HiDream-O1 al que se aplicará el suavizado de costuras. |
+| `porcentaje_inicio` | FLOAT | Sí | 0.0 a 1.0 (paso: 0.01) | El progreso del muestreo (0=inicio, 1=fin) en el que el efecto de suavizado se ACTIVA (predeterminado: 0.8). |
+| `porcentaje_fin` | FLOAT | Sí | 0.0 a 1.0 (paso: 0.01) | El progreso del muestreo en el que el efecto de suavizado se DESACTIVA (predeterminado: 1.0). |
+| `patrón` | COMBO | Sí | `"single_shift"` `"symmetric"` | La disposición de las posiciones de cuadrícula desplazadas. `single_shift`: una pasada en la cuadrícula natural de parches más otras desplazadas. `symmetric`: todas las pasadas están fuera de la cuadrícula, con desplazamientos divididos alrededor del origen (predeterminado: `"single_shift"`). |
+| `pasadas` | COMBO | Sí | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | El número de pasadas (ejecuciones del modelo) por paso controlado. `2` o `4` son cantidades fijas. `ramp_2_4` y `ramp_2_4_8` aumentan el número de pasadas a medida que el muestreo se acerca al final, proporcionando más suavizado donde las costuras son más visibles (predeterminado: `"2"`). |
+| `mezcla` | COMBO | Sí | `"average"` `"window"` `"median"` | El método utilizado para combinar los resultados de cada pasada. `average`: media de igual peso de todas las pasadas. `window`: utiliza una ventana Hann para dar más peso al centro de cada pasada, reduciendo artefactos en los bordes. `median`: toma la mediana por píxel, lo que puede rechazar pasadas atípicas causadas por envolvente (predeterminado: `"average"`). |
+| `fuerza` | FLOAT | Sí | 0.0 a 1.0 (paso: 0.01) | Controla la interpolación entre la salida original del modelo (0.0) y el resultado completamente suavizado (1.0) (predeterminado: 1.0). |
+
+**Nota sobre Restricciones de Parámetros:**
+- El efecto de suavizado no se aplicará si `strength` es 0.0 o menor, o si `end_percent` es menor o igual que `start_percent`.
+- Las opciones de rampa del parámetro `passes` (`ramp_2_4`, `ramp_2_4_8`) solo tienen sentido cuando `start_percent` y `end_percent` definen un rango, ya que el número de pasadas aumenta a medida que el muestreo progresa a través de ese rango.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|-------------|-------------|
+| `modelo` | MODEL | El modelo modificado con el envoltorio de suavizado de costuras aplicado. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fa.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fa.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fa.md
@@ -0,0 +1,30 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fa.md)
+
+## مرور کلی
+
+این گره با میانگینگیری خروجی مدل در چندین موقعیت شبکهای جابهجا شده در بخش پایانی فرآیند نمونهبرداری، درزهای قابل مشاهده در تصاویر تولیدشده توسط مدل HiDream-O1 را کاهش میدهد. عملکرد آن به این صورت است که مدل را چندین بار با ترازبندیهای اندکی متفاوت تصویر اجرا کرده و نتایج را با هم ترکیب میکند، که به حذف مصنوعات شبکهای شکل ظاهر شده در مرزهای پچ کمک میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `مدل` | MODEL | بله | - | مدل HiDream-O1 که باید هموارسازی درز روی آن اعمال شود. |
+| `درصد شروع` | FLOAT | بله | 0.0 تا 1.0 (گام: 0.01) | پیشرفت نمونهبرداری (0=شروع، 1=پایان) که در آن اثر هموارسازی فعال میشود (پیشفرض: 0.8). |
+| `درصد پایان` | FLOAT | بله | 0.0 تا 1.0 (گام: 0.01) | پیشرفت نمونهبرداری که در آن اثر هموارسازی غیرفعال میشود (پیشفرض: 1.0). |
+| `الگو` | COMBO | بله | `"single_shift"` `"symmetric"` | چیدمان موقعیتهای شبکهای جابهجا شده. `single_shift`: یک پاس روی شبکه پچ طبیعی به همراه پاسهای دیگر با افست. `symmetric`: همه پاسها خارج از شبکه بوده و جابهجاییها حول مبدأ تقسیم میشوند (پیشفرض: `"single_shift"`). |
+| `تعداد عبور` | COMBO | بله | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | تعداد پاسها (اجرای مدل) در هر گام کنترلشده. `2` یا `4` مقادیر ثابت هستند. `ramp_2_4` و `ramp_2_4_8` با نزدیک شدن نمونهبرداری به پایان، تعداد پاسها را افزایش میدهند و هموارسازی بیشتری در نقاطی که درزها بیشتر قابل مشاهده هستند ارائه میدهند (پیشفرض: `"2"`). |
+| `ترکیب` | COMBO | بله | `"average"` `"window"` `"median"` | روش ترکیب نتایج هر پاس. `average`: میانگین با وزن مساوی از همه پاسها. `window`: از پنجره هان برای وزندهی بیشتر به مرکز هر پاس استفاده میکند و مصنوعات مرزی را کاهش میدهد. `median`: میانه هر پیکسل را میگیرد که میتواند پاسهای پرت ناشی از پیچش را حذف کند (پیشفرض: `"average"`). |
+| `شدت` | FLOAT | بله | 0.0 تا 1.0 (گام: 0.01) | درونیابی بین خروجی اصلی مدل (0.0) و نتیجه کاملاً هموار شده (1.0) را کنترل میکند (پیشفرض: 1.0). |
+
+**نکته درباره محدودیتهای پارامتر:**
+- اگر `strength` برابر 0.0 یا کمتر باشد، یا اگر `end_percent` کوچکتر یا مساوی `start_percent` باشد، اثر هموارسازی اعمال نخواهد شد.
+- گزینههای شیبدار پارامتر `passes` (`ramp_2_4`، `ramp_2_4_8`) تنها زمانی معنا دارند که `start_percent` و `end_percent` یک محدوده را تعریف کنند، زیرا تعداد پاسها با پیشرفت نمونهبرداری در آن محدوده افزایش مییابد.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `مدل` | MODEL | مدل اصلاحشده با اعمال پوشش هموارسازی درز. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fr.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fr.md
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+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fr.md
@@ -0,0 +1,32 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/fr.md)
+
+Voici la traduction en français de la documentation, en respectant toutes les règles fournies :
+
+## Aperçu
+
+Ce nœud réduit les coutures visibles dans les images générées par le modèle HiDream-O1 en faisant la moyenne de la sortie du modèle sur plusieurs positions décalées de la grille de patchs pendant la dernière partie du processus d'échantillonnage. Il fonctionne en exécutant le modèle plusieurs fois avec des alignements d'image légèrement différents et en fusionnant les résultats, ce qui permet d'atténuer les artefacts en forme de grille pouvant apparaître aux limites des patchs.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `modèle` | MODEL | Oui | - | Le modèle HiDream-O1 auquel appliquer le lissage des coutures. |
+| `pourcentage_début` | FLOAT | Oui | 0,0 à 1,0 (pas : 0,01) | La progression de l'échantillonnage (0=début, 1=fin) à laquelle l'effet de lissage s'ACTIVE (par défaut : 0,8). |
+| `pourcentage_fin` | FLOAT | Oui | 0,0 à 1,0 (pas : 0,01) | La progression de l'échantillonnage à laquelle l'effet de lissage se DÉSACTIVE (par défaut : 1,0). |
+| `motif` | COMBO | Oui | `"single_shift"` `"symmetric"` | La disposition des positions décalées de la grille. `single_shift` : un passage sur la grille de patchs naturelle plus d'autres décalés. `symmetric` : tous les passages sont hors grille, avec des décalages répartis autour de l'origine (par défaut : `"single_shift"`). |
+| `passes` | COMBO | Oui | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | Le nombre de passages (exécutions du modèle) par étape contrôlée. `2` ou `4` sont des nombres fixes. `ramp_2_4` et `ramp_2_4_8` augmentent le nombre de passages à mesure que l'échantillonnage approche de la fin, offrant plus de lissage là où les coutures sont les plus visibles (par défaut : `"2"`). |
+| `mélange` | COMBO | Oui | `"average"` `"window"` `"median"` | La méthode utilisée pour combiner les résultats de chaque passage. `average` : moyenne pondérée égale de tous les passages. `window` : utilise une fenêtre de Hann pour donner plus de poids au centre de chaque passage, réduisant les artefacts de bordure. `median` : prend la médiane par pixel, ce qui peut rejeter les passages aberrants causés par le repliement (par défaut : `"average"`). |
+| `force` | FLOAT | Oui | 0,0 à 1,0 (pas : 0,01) | Contrôle l'interpolation entre la sortie originale du modèle (0,0) et le résultat entièrement lissé (1,0) (par défaut : 1,0). |
+
+**Remarque sur les contraintes des paramètres :**
+- L'effet de lissage ne sera pas appliqué si `strength` est égal ou inférieur à 0,0, ou si `end_percent` est inférieur ou égal à `start_percent`.
+- Les options de rampe du paramètre `passes` (`ramp_2_4`, `ramp_2_4_8`) ne sont significatives que lorsque `start_percent` et `end_percent` définissent une plage, car le nombre de passages augmente à mesure que l'échantillonnage progresse dans cette plage.
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `modèle` | MODEL | Le modèle modifié avec l'adaptateur de lissage des coutures appliqué. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md
new file mode 100644
index 000000000..a3d63dd10
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md
@@ -0,0 +1,30 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md)
+
+## 概要
+
+このノードは、サンプリングプロセスの後半において、複数のシフトされたパッチグリッド位置でモデルの出力を平均化することで、HiDream-O1モデルが生成した画像の目に見える継ぎ目を低減します。画像の位置合わせをわずかに変えてモデルを複数回実行し、結果をブレンドすることで、パッチ境界に現れるグリッド状のアーティファクトを打ち消す仕組みです。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `モデル` | MODEL | はい | - | 継ぎ目スムージングを適用するHiDream-O1モデル。 |
+| `開始パーセント` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | スムージング効果がONになるサンプリング進行度（0=開始、1=終了）（デフォルト：0.8）。 |
+| `終了パーセント` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | スムージング効果がOFFになるサンプリング進行度（デフォルト：1.0）。 |
+| `パターン` | COMBO | はい | `"single_shift"` `"symmetric"` | シフトされたグリッド位置のレイアウト。`single_shift`：自然なパッチグリッドでの1回のパスと、それ以外のオフセットパス。`symmetric`：すべてのパスがグリッド外で、原点を中心にシフトが分割されます（デフォルト：`"single_shift"`）。 |
+| `パス数` | COMBO | はい | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | ゲートステップあたりのパス数（モデル実行回数）。`2`または`4`は固定数です。`ramp_2_4`と`ramp_2_4_8`は、サンプリングが終了に近づくにつれてパス数を増やし、継ぎ目が最も目立つ部分でより多くのスムージングを提供します（デフォルト：`"2"`）。 |
+| `ブレンド` | COMBO | はい | `"average"` `"window"` `"median"` | 各パスの結果を結合する方法。`average`：すべてのパスの等加重平均。`window`：ハン窓を使用して各パスの中心により大きな重みを与え、境界アーティファクトを低減します。`median`：ピクセルごとの中央値を取得し、ラップアラウンドによる外れ値パスを除外できます（デフォルト：`"average"`）。 |
+| `強度` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | 元のモデル出力（0.0）と完全にスムージングされた結果（1.0）の間の補間を制御します（デフォルト：1.0）。 |
+
+**パラメータ制約に関する注意事項：**
+- `strength`が0.0以下の場合、または`end_percent`が`start_percent`以下の場合、スムージング効果は適用されません。
+- `passes`パラメータのランプオプション（`ramp_2_4`、`ramp_2_4_8`）は、`start_percent`と`end_percent`が範囲を定義している場合にのみ意味を持ちます。これは、サンプリングがその範囲を進行するにつれてパス数が増加するためです。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `モデル` | MODEL | 継ぎ目スムージングラッパーが適用された修正済みモデル。 |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ko.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ko.md
new file mode 100644
index 000000000..2d6b39a16
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ko.md
@@ -0,0 +1,30 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ko.md)
+
+## 개요
+
+이 노드는 샘플링 프로세스 후반부에 여러 개의 이동된 패치 그리드 위치에서 모델 출력을 평균화하여 HiDream-O1 모델이 생성한 이미지의 눈에 띄는 이음새를 줄입니다. 약간 다른 이미지 정렬로 모델을 여러 번 실행하고 결과를 혼합하여 패치 경계에서 나타날 수 있는 그리드 형태의 아티팩트를 상쇄하는 방식으로 작동합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | 예 | - | 이음새 평활화를 적용할 HiDream-O1 모델입니다. |
+| `start_percent` | FLOAT | 예 | 0.0 ~ 1.0 (단계: 0.01) | 평활화 효과가 켜지는 샘플링 진행률입니다(0=시작, 1=종료, 기본값: 0.8). |
+| `end_percent` | FLOAT | 예 | 0.0 ~ 1.0 (단계: 0.01) | 평활화 효과가 꺼지는 샘플링 진행률입니다(기본값: 1.0). |
+| `pattern` | COMBO | 예 | `"single_shift"` `"symmetric"` | 이동된 그리드 위치의 레이아웃입니다. `single_shift`: 자연 패치 그리드에서 한 번 통과하고 나머지는 오프셋됩니다. `symmetric`: 모든 패스가 그리드 외부에 있으며, 원점을 중심으로 이동이 분할됩니다(기본값: `"single_shift"`). |
+| `passes` | COMBO | 예 | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8" | 게이트 단계당 패스(모델 실행) 수입니다. `2` 또는 `4`는 고정 개수입니다. `ramp_2_4` 및 `ramp_2_4_8`은 샘플링이 종료에 가까워질수록 패스 수를 증가시켜 이음새가 가장 눈에 띄는 부분에서 더 많은 평활화를 제공합니다(기본값: `"2"`). |
+| `blend` | COMBO | 예 | `"average"` `"window"` `"median"` | 각 패스의 결과를 결합하는 방법입니다. `average`: 모든 패스의 동일 가중 평균입니다. `window`: Hann 윈도우를 사용하여 각 패스의 중앙에 더 많은 가중치를 부여하여 경계 아티팩트를 줄입니다. `median`: 픽셀별 중앙값을 취하여 랩어라운드로 인한 이상치 패스를 제거할 수 있습니다(기본값: `"average"`). |
+| `strength` | FLOAT | 예 | 0.0 ~ 1.0 (단계: 0.01) | 원본 모델 출력(0.0)과 완전히 평활화된 결과(1.0) 사이의 보간을 제어합니다(기본값: 1.0). |
+
+**매개변수 제약 조건 참고:**
+- `strength`가 0.0 이하이거나 `end_percent`가 `start_percent`보다 작거나 같으면 평활화 효과가 적용되지 않습니다.
+- `passes` 매개변수의 램프 옵션(`ramp_2_4`, `ramp_2_4_8`)은 `start_percent`와 `end_percent`가 범위를 정의할 때만 의미가 있습니다. 샘플링이 해당 범위를 진행함에 따라 패스 수가 증가하기 때문입니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `model` | MODEL | 이음새 평활화 래퍼가 적용된 수정된 모델입니다. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/pt-BR.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/pt-BR.md
new file mode 100644
index 000000000..bc46f2a0a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/pt-BR.md
@@ -0,0 +1,30 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/pt-BR.md)
+
+# Visão Geral
+
+Este nó reduz costuras visíveis em imagens geradas pelo modelo HiDream-O1, calculando a média da saída do modelo em múltiplas posições deslocadas da grade de patches durante a parte final do processo de amostragem. Ele funciona executando o modelo várias vezes com alinhamentos de imagem ligeiramente diferentes e combinando os resultados, o que ajuda a cancelar os artefatos semelhantes a grades que podem aparecer nas bordas dos patches.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `modelo` | MODEL | Sim | - | O modelo HiDream-O1 ao qual aplicar a suavização de costuras. |
+| `percentual_inicial` | FLOAT | Sim | 0.0 a 1.0 (passo: 0.01) | O progresso da amostragem (0=início, 1=fim) no qual o efeito de suavização é ATIVADO (padrão: 0.8). |
+| `percentual_final` | FLOAT | Sim | 0.0 a 1.0 (passo: 0.01) | O progresso da amostragem no qual o efeito de suavização é DESATIVADO (padrão: 1.0). |
+| `padrão` | COMBO | Sim | `"single_shift"` `"symmetric"` | O layout das posições deslocadas da grade. `single_shift`: uma passagem na grade natural de patches mais outras deslocadas. `symmetric`: todas as passagens são fora da grade, com deslocamentos divididos em torno da origem (padrão: `"single_shift"`). |
+| `passagens` | COMBO | Sim | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | O número de passagens (execuções do modelo) por etapa controlada. `2` ou `4` são contagens fixas. `ramp_2_4` e `ramp_2_4_8` aumentam a contagem de passagens conforme a amostragem se aproxima do fim, proporcionando mais suavização onde as costuras são mais visíveis (padrão: `"2"`). |
+| `mesclagem` | COMBO | Sim | `"average"` `"window"` `"median"` | O método usado para combinar os resultados de cada passagem. `average`: média com pesos iguais de todas as passagens. `window`: usa uma janela Hann para dar mais peso ao centro de cada passagem, reduzindo artefatos de borda. `median`: calcula a mediana por pixel, que pode rejeitar passagens discrepantes causadas por envoltório (padrão: `"average"`). |
+| `força` | FLOAT | Sim | 0.0 a 1.0 (passo: 0.01) | Controla a interpolação entre a saída original do modelo (0.0) e o resultado totalmente suavizado (1.0) (padrão: 1.0). |
+
+**Observação sobre Restrições de Parâmetros:**
+- O efeito de suavização não será aplicado se `strength` for 0.0 ou menor, ou se `end_percent` for menor ou igual a `start_percent`.
+- As opções de rampa do parâmetro `passes` (`ramp_2_4`, `ramp_2_4_8`) só são significativas quando `start_percent` e `end_percent` definem um intervalo, pois o número de passagens aumenta conforme a amostragem progride através desse intervalo.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `modelo` | MODEL | O modelo modificado com o invólucro de suavização de costuras aplicado. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ru.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ru.md
new file mode 100644
index 000000000..2f6c91673
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ru.md
@@ -0,0 +1,30 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ru.md)
+
+## Обзор
+
+Этот узел уменьшает видимые швы в изображениях, созданных моделью HiDream-O1, путем усреднения выходных данных модели по нескольким смещенным позициям сетки патчей на поздних этапах процесса сэмплирования. Он работает путем многократного запуска модели с немного разным выравниванием изображения и смешивания результатов, что помогает устранить сетчатые артефакты, которые могут появляться на границах патчей.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `модель` | MODEL | Да | - | Модель HiDream-O1, к которой применяется сглаживание швов. |
+| `начальный_процент` | FLOAT | Да | 0.0 до 1.0 (шаг: 0.01) | Прогресс сэмплирования (0=начало, 1=конец), при котором эффект сглаживания ВКЛЮЧАЕТСЯ (по умолчанию: 0.8). |
+| `конечный_процент` | FLOAT | Да | 0.0 до 1.0 (шаг: 0.01) | Прогресс сэмплирования, при котором эффект сглаживания ВЫКЛЮЧАЕТСЯ (по умолчанию: 1.0). |
+| `шаблон` | COMBO | Да | `"single_shift"` `"symmetric"` | Расположение смещенных позиций сетки. `single_shift`: один проход по естественной сетке патчей плюс остальные со смещением. `symmetric`: все проходы вне сетки, со сдвигами, распределенными вокруг начала координат (по умолчанию: `"single_shift"`). |
+| `проходы` | COMBO | Да | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | Количество проходов (запусков модели) на один управляемый шаг. `2` или `4` — фиксированные значения. `ramp_2_4` и `ramp_2_4_8` увеличивают количество проходов по мере приближения сэмплирования к концу, обеспечивая большее сглаживание там, где швы наиболее заметны (по умолчанию: `"2"`). |
+| `смешивание` | COMBO | Да | `"average"` `"window"` `"median"` | Метод объединения результатов каждого прохода. `average`: равновзвешенное среднее всех проходов. `window`: использует окно Ханна для придания большего веса центру каждого прохода, уменьшая граничные артефакты. `median`: берет медиану по пикселям, что позволяет отбрасывать выбросы проходов, вызванные зацикливанием (по умолчанию: `"average"`). |
+| `интенсивность` | FLOAT | Да | 0.0 до 1.0 (шаг: 0.01) | Управляет интерполяцией между исходным выходом модели (0.0) и полностью сглаженным результатом (1.0) (по умолчанию: 1.0). |
+
+**Примечание об ограничениях параметров:**
+- Эффект сглаживания не будет применен, если `strength` равен 0.0 или меньше, или если `end_percent` меньше или равен `start_percent`.
+- Опции нарастания параметра `passes` (`ramp_2_4`, `ramp_2_4_8`) имеют смысл только тогда, когда `start_percent` и `end_percent` определяют диапазон, так как количество проходов увеличивается по мере продвижения сэмплирования в этом диапазоне.
+
+## Выходные данные
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `модель` | MODEL | Модифицированная модель с примененной оберткой сглаживания швов. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/tr.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/tr.md
new file mode 100644
index 000000000..df2039dd7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/tr.md
@@ -0,0 +1,30 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, örnekleme sürecinin sonraki aşamasında model çıktısını birden fazla kaydırılmış yama ızgarası konumunda ortalamasını alarak HiDream-O1 modeli tarafından oluşturulan görsellerdeki görünür dikişleri azaltır. Modeli, hafifçe farklı görüntü hizalamalarıyla birkaç kez çalıştırıp sonuçları birleştirerek çalışır; bu da yama sınırlarında oluşabilen ızgara benzeri yapaylıkların giderilmesine yardımcı olur.
+
+## Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|--------|----------|
+| `model` | MODEL | Evet | - | Dikiş yumuşatma uygulanacak HiDream-O1 modeli. |
+| `başlangıç_yüzdesi` | FLOAT | Evet | 0.0 ile 1.0 arası (adım: 0.01) | Yumuşatma efektinin AÇILDIĞI örnekleme ilerlemesi (0=başlangıç, 1=bitiş) (varsayılan: 0.8). |
+| `bitiş_yüzdesi` | FLOAT | Evet | 0.0 ile 1.0 arası (adım: 0.01) | Yumuşatma efektinin KAPANDIĞI örnekleme ilerlemesi (varsayılan: 1.0). |
+| `desen` | COMBO | Evet | `"single_shift"` `"symmetric"` | Kaydırılmış ızgara konumlarının düzeni. `single_shift`: doğal yama ızgarasında bir geçiş artı diğer kaydırmalar. `symmetric`: tüm geçişler ızgara dışındadır, kaydırmalar orijin etrafında bölünmüştür (varsayılan: `"single_shift"`). |
+| `geçişler` | COMBO | Evet | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | Kapılı adım başına geçiş sayısı (model çalıştırma). `2` veya `4` sabit sayılardır. `ramp_2_4` ve `ramp_2_4_8`, örnekleme sona yaklaştıkça geçiş sayısını artırarak dikişlerin en görünür olduğu yerlerde daha fazla yumuşatma sağlar (varsayılan: `"2"`). |
+| `karıştırma` | COMBO | Evet | `"average"` `"window"` `"median"` | Her geçişten elde edilen sonuçları birleştirmek için kullanılan yöntem. `average`: tüm geçişlerin eşit ağırlıklı ortalaması. `window`: her geçişin merkezine daha fazla ağırlık vermek için Hann penceresi kullanır, sınır yapaylıklarını azaltır. `median`: piksel bazında medyan alır, sarma kaynaklı aykırı geçişleri eleyebilir (varsayılan: `"average"`). |
+| `güç` | FLOAT | Evet | 0.0 ile 1.0 arası (adım: 0.01) | Orijinal model çıktısı (0.0) ile tamamen yumuşatılmış sonuç (1.0) arasındaki enterpolasyonu kontrol eder (varsayılan: 1.0). |
+
+**Parametre Kısıtlamalarına İlişkin Not:**
+- `strength` değeri 0.0 veya daha düşükse ya da `end_percent` değeri `start_percent` değerinden küçük veya eşitse yumuşatma efekti uygulanmaz.
+- `passes` parametresinin rampa seçenekleri (`ramp_2_4`, `ramp_2_4_8`), yalnızca `start_percent` ve `end_percent` bir aralık tanımladığında anlamlıdır; çünkü geçiş sayısı, örnekleme bu aralıkta ilerledikçe artar.
+
+## Çıkışlar
+
+| Çıkış Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `model` | MODEL | Dikiş yumuşatma sarmalayıcısı uygulanmış değiştirilmiş model. |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh-TW.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh-TW.md
new file mode 100644
index 000000000..55fa24363
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh-TW.md
@@ -0,0 +1,30 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh-TW.md)
+
+## 概述
+
+此節點透過在取樣過程後期，對 HiDream-O1 模型在多個偏移的區塊網格位置上的輸出進行平均，來減少該模型生成影像中可見的接縫。其運作方式是使用略微不同的影像對齊方式多次執行模型，並將結果混合在一起，這有助於消除在區塊邊界可能出現的網格狀偽影。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `模型` | MODEL | 是 | - | 要套用接縫平滑處理的 HiDream-O1 模型。 |
+| `起始百分比` | FLOAT | 是 | 0.0 至 1.0 (步長: 0.01) | 平滑效果開啟時的取樣進度 (0=開始，1=結束) (預設值: 0.8)。 |
+| `結束百分比` | FLOAT | 是 | 0.0 至 1.0 (步長: 0.01) | 平滑效果關閉時的取樣進度 (預設值: 1.0)。 |
+| `模式` | COMBO | 是 | `"single_shift"` `"symmetric"` | 偏移區塊網格位置的佈局。`single_shift`：一次通過位於自然區塊網格，其他通過則偏移。`symmetric`：所有通過都不在網格上，偏移量圍繞原點分佈 (預設值: `"single_shift"`)。 |
+| `通過次數` | COMBO | 是 | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | 每個閘控步驟的通過次數（模型運行次數）。`2` 或 `4` 是固定次數。`ramp_2_4` 和 `ramp_2_4_8` 會在取樣接近結束時增加通過次數，在接縫最明顯處提供更多平滑效果 (預設值: `"2"`)。 |
+| `混合方式` | COMBO | 是 | `"average"` `"window"` `"median"` | 用於結合每次通過結果的方法。`average`：所有通過的等權重平均值。`window`：使用漢寧窗為每次通過的中心賦予更多權重，減少邊界偽影。`median`：取逐像素的中位數，可以排除因環繞效應導致的異常通過 (預設值: `"average"`)。 |
+| `強度` | FLOAT | 是 | 0.0 至 1.0 (步長: 0.01) | 控制原始模型輸出 (0.0) 與完全平滑結果 (1.0) 之間的插值 (預設值: 1.0)。 |
+
+**關於參數限制的說明：**
+- 如果 `strength` 為 0.0 或更小，或者 `end_percent` 小於或等於 `start_percent`，則不會套用平滑效果。
+- `passes` 參數的斜坡選項 (`ramp_2_4`、`ramp_2_4_8`) 僅在 `start_percent` 和 `end_percent` 定義了一個範圍時才有意義，因為通過次數會隨著取樣在該範圍內進行而增加。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `模型` | MODEL | 已套用接縫平滑包裝器的修改後模型。 |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh.md b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh.md
new file mode 100644
index 000000000..fc3f60ec5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh.md
@@ -0,0 +1,30 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh.md)
+
+## ## 概述
+
+此节点通过在采样过程后期对 HiDream-O1 模型在多个偏移的块网格位置上的输出进行平均，来减少该模型生成图像中的可见接缝。其工作原理是使用略微不同的图像对齐方式多次运行模型，并将结果混合在一起，从而消除块边界处可能出现的网格状伪影。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `模型` | MODEL | 是 | - | 要应用接缝平滑的 HiDream-O1 模型。 |
+| `起始百分比` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 平滑效果开启时的采样进度（0=开始，1=结束），默认值：0.8。 |
+| `结束百分比` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 平滑效果关闭时的采样进度，默认值：1.0。 |
+| `模式` | COMBO | 是 | `"single_shift"` `"symmetric"` | 偏移网格位置的布局。`single_shift`：一次在自然块网格上，其余偏移。`symmetric`：所有次均偏离网格，偏移量围绕原点分布，默认值：`"single_shift"`。 |
+| `遍数` | COMBO | 是 | `"2"` `"4"` `"ramp_2_4"` `"ramp_2_4_8"` | 每个门控步骤的通过次数（模型运行次数）。`2` 或 `4` 为固定次数。`ramp_2_4` 和 `ramp_2_4_8` 会在采样接近结束时增加通过次数，在接缝最明显处提供更多平滑，默认值：`"2"`。 |
+| `混合方式` | COMBO | 是 | `"average"` `"window"` `"median"` | 用于合并每次通过结果的方法。`average`：所有通过结果的等权平均值。`window`：使用汉宁窗口为每次通过的中心赋予更大权重，减少边界伪影。`median`：取逐像素中位数，可排除因环绕导致的异常通过结果，默认值：`"average"`。 |
+| `强度` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 控制原始模型输出（0.0）与完全平滑结果（1.0）之间的插值，默认值：1.0。 |
+
+**参数约束说明：**
+- 如果 `strength` 为 0.0 或更小，或者 `end_percent` 小于等于 `start_percent`，则不会应用平滑效果。
+- `passes` 参数的斜坡选项（`ramp_2_4`、`ramp_2_4_8`）仅在 `start_percent` 和 `end_percent` 定义了一个范围时才有意义，因为通过次数会随着采样在该范围内的进行而增加。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `模型` | MODEL | 已应用接缝平滑包装器的修改后模型。 |
+
+---
+**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ar.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ar.md
new file mode 100644
index 000000000..ddc120e35
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ar.md
@@ -0,0 +1,25 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ar.md)
+
+## نظرة عامة
+
+إرفاق صور مرجعية لكل من التكييف الإيجابي والسلبي. تتيح لك هذه العقدة توفير صورة مرجعية واحدة أو أكثر لتوجيه عملية توليد الصور، سواء للتحرير بناءً على تعليمات أو للتخصيص الموجه بالموضوع.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|---------------|--------|---------|-------------|
+| `إيجابي` | CONDITIONING | نعم | - | التكييف الإيجابي لإرفاق الصور المرجعية به. |
+| `سلبي` | CONDITIONING | نعم | - | التكييف السلبي لإرفاق الصور المرجعية به. |
+| `الصور` | IMAGE | نعم | من 1 إلى 10 صور | الصور المرجعية. صورة واحدة تُمكّن التحرير القائم على التعليمات؛ 2-10 صور تُمكّن التخصيص الموجه بالموضوع متعدد المراجع. |
+
+**ملاحظة حول معامل `images`:** هذا مدخل متزايد تلقائياً يقبل من 1 إلى 10 صور. يتم تسمية الصور `image_1` إلى `image_10`. يجب توفير صورة واحدة على الأقل. يحدد عدد الصور وضع التشغيل: تُستخدم الصورة الواحدة لتعليمات التحرير، بينما تُستخدم الصور المتعددة (2-10) للتخصيص الموجه بالموضوع.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|-------------|
+| `سلبي` | CONDITIONING | التكييف الإيجابي مع الصور المرجعية المرفقة. |
+| `سلبي` | CONDITIONING | التكييف السلبي مع الصور المرجعية المرفقة. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md
@@ -0,0 +1,25 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md)
+
+## Overview
+
+Attach reference images to both positive and negative conditioning. This node allows you to provide one or more reference images that will be used to guide the image generation process, either for editing based on an instruction or for subject-driven personalization.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `positive` | CONDITIONING | Yes | - | The positive conditioning to attach reference images to. |
+| `negative` | CONDITIONING | Yes | - | The negative conditioning to attach reference images to. |
+| `images` | IMAGE | Yes | 1 to 10 images | Reference images. 1 image enables instruction-based editing; 2-10 images enable multi-reference subject-driven personalization. |
+
+**Note on `images` parameter:** This is an autogrow input that accepts between 1 and 10 images. The images are labeled `image_1` through `image_10`. You must provide at least 1 image. The number of images determines the mode of operation: a single image is used for edit instructions, while multiple images (2-10) are used for subject-driven personalization.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `positive` | CONDITIONING | The positive conditioning with the reference images attached. |
+| `negative` | CONDITIONING | The negative conditioning with the reference images attached. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/es.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/es.md
new file mode 100644
index 000000000..121c58086
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/es.md
@@ -0,0 +1,25 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/es.md)
+
+# Descripción General
+
+Adjunta imágenes de referencia tanto al condicionamiento positivo como al negativo. Este nodo permite proporcionar una o más imágenes de referencia que se utilizarán para guiar el proceso de generación de imágenes, ya sea para edición basada en una instrucción o para personalización dirigida por un sujeto.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Requerido | Rango | Descripción |
+|-----------|--------------|-----------|-------|-------------|
+| `positivo` | CONDITIONING | Sí | - | El condicionamiento positivo al que adjuntar las imágenes de referencia. |
+| `negativo` | CONDITIONING | Sí | - | El condicionamiento negativo al que adjuntar las imágenes de referencia. |
+| `imágenes` | IMAGE | Sí | 1 a 10 imágenes | Imágenes de referencia. 1 imagen habilita la edición basada en instrucciones; 2-10 imágenes habilitan la personalización dirigida por un sujeto con múltiples referencias. |
+
+**Nota sobre el parámetro `images`:** Esta es una entrada de crecimiento automático que acepta entre 1 y 10 imágenes. Las imágenes se etiquetan como `image_1` hasta `image_10`. Debes proporcionar al menos 1 imagen. La cantidad de imágenes determina el modo de operación: una sola imagen se utiliza para instrucciones de edición, mientras que múltiples imágenes (2-10) se utilizan para personalización dirigida por un sujeto.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `negativo` | CONDITIONING | El condicionamiento positivo con las imágenes de referencia adjuntas. |
+| `negativo` | CONDITIONING | El condicionamiento negativo con las imágenes de referencia adjuntas. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fa.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fa.md
new file mode 100644
index 000000000..734946c17
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+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fa.md
@@ -0,0 +1,25 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fa.md)
+
+## نمای کلی
+
+تصاویر مرجع را به هر دو شرطسازی مثبت و منفی متصل کنید. این گره به شما امکان میدهد یک یا چند تصویر مرجع ارائه دهید که برای هدایت فرآیند تولید تصویر استفاده میشوند، چه برای ویرایش بر اساس یک دستورالعمل و چه برای شخصیسازی مبتنی بر سوژه.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|----------|
+| `مثبت` | CONDITIONING | بله | - | شرطسازی مثبتی که تصاویر مرجع به آن متصل میشوند. |
+| `منفی` | CONDITIONING | بله | - | شرطسازی منفی که تصاویر مرجع به آن متصل میشوند. |
+| `تصاویر` | IMAGE | بله | ۱ تا ۱۰ تصویر | تصاویر مرجع. ۱ تصویر ویرایش مبتنی بر دستورالعمل را فعال میکند؛ ۲ تا ۱۰ تصویر شخصیسازی مبتنی بر سوژه با چند مرجع را فعال میکنند. |
+
+**نکته درباره پارامتر `images`:** این یک ورودی خود-افزاینده است که بین ۱ تا ۱۰ تصویر را میپذیرد. تصاویر با برچسبهای `image_1` تا `image_10` نامگذاری میشوند. باید حداقل ۱ تصویر ارائه دهید. تعداد تصاویر حالت عملکرد را تعیین میکند: یک تصویر واحد برای دستورالعملهای ویرایش استفاده میشود، در حالی که چندین تصویر (۲ تا ۱۰) برای شخصیسازی مبتنی بر سوژه به کار میروند.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `مثبت` | CONDITIONING | شرطسازی مثبت با تصاویر مرجع متصل شده. |
+| `منفی` | CONDITIONING | شرطسازی منفی با تصاویر مرجع متصل شده. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fr.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fr.md
new file mode 100644
index 000000000..4c3dca6d7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fr.md
@@ -0,0 +1,27 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI :
+
+## Aperçu
+
+Attachez des images de référence aux conditionnements positif et négatif. Ce nœud vous permet de fournir une ou plusieurs images de référence qui seront utilisées pour guider le processus de génération d'images, que ce soit pour une édition basée sur une instruction ou pour une personnalisation pilotée par un sujet.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `positif` | CONDITIONING | Oui | - | Le conditionnement positif auquel attacher les images de référence. |
+| `négatif` | CONDITIONING | Oui | - | Le conditionnement négatif auquel attacher les images de référence. |
+| `images` | IMAGE | Oui | 1 à 10 images | Images de référence. 1 image permet l'édition basée sur une instruction ; 2 à 10 images permettent la personnalisation multi-référence pilotée par un sujet. |
+
+**Remarque sur le paramètre `images` :** Il s'agit d'une entrée à croissance automatique qui accepte entre 1 et 10 images. Les images sont étiquetées `image_1` à `image_10`. Vous devez fournir au moins 1 image. Le nombre d'images détermine le mode de fonctionnement : une seule image est utilisée pour les instructions d'édition, tandis que plusieurs images (2 à 10) sont utilisées pour la personnalisation pilotée par un sujet.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `négatif` | CONDITIONING | Le conditionnement positif avec les images de référence attachées. |
+| `négatif` | CONDITIONING | Le conditionnement négatif avec les images de référence attachées. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md
new file mode 100644
index 000000000..eb966092d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md
@@ -0,0 +1,25 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md)
+
+## 概要
+
+ポジティブおよびネガティブの両方のコンディショニングに参照画像を添付します。このノードを使用すると、1つ以上の参照画像を提供して画像生成プロセスをガイドできます。指示に基づく編集や、被写体駆動型のパーソナライゼーションに使用されます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `ポジティブ` | CONDITIONING | はい | - | 参照画像を添付するポジティブコンディショニングです。 |
+| `ネガティブ` | CONDITIONING | はい | - | 参照画像を添付するネガティブコンディショニングです。 |
+| `画像` | IMAGE | はい | 1～10枚 | 参照画像です。1枚の画像で指示ベースの編集が可能になり、2～10枚の画像でマルチリファレンスの被写体駆動型パーソナライゼーションが可能になります。 |
+
+**`images` パラメータに関する注意:** これは自動拡張入力であり、1～10枚の画像を受け入れます。画像は `image_1` から `image_10` までラベル付けされます。少なくとも1枚の画像を提供する必要があります。画像の枚数によって動作モードが決まります。1枚の画像は編集指示に使用され、複数の画像（2～10枚）は被写体駆動型のパーソナライゼーションに使用されます。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `ネガティブ` | CONDITIONING | 参照画像が添付されたポジティブコンディショニングです。 |
+| `ネガティブ` | CONDITIONING | 参照画像が添付されたネガティブコンディショニングです。 |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ko.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ko.md
new file mode 100644
index 000000000..890c4acda
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+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ko.md
@@ -0,0 +1,25 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ko.md)
+
+## 개요
+
+긍정 및 부정 컨디셔닝에 참조 이미지를 첨부합니다. 이 노드를 사용하면 하나 이상의 참조 이미지를 제공하여 이미지 생성 과정을 안내할 수 있으며, 명령어 기반 편집 또는 주제 기반 개인화에 사용됩니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `positive` | CONDITIONING | 예 | - | 참조 이미지를 첨부할 긍정 컨디셔닝입니다. |
+| `negative` | CONDITIONING | 예 | - | 참조 이미지를 첨부할 부정 컨디셔닝입니다. |
+| `images` | IMAGE | 예 | 1~10개 이미지 | 참조 이미지입니다. 이미지 1개는 명령어 기반 편집을 활성화하고, 2~10개 이미지는 다중 참조 주제 기반 개인화를 활성화합니다. |
+
+**`images` 매개변수 참고:** 이는 1~10개의 이미지를 허용하는 자동 확장 입력입니다. 이미지는 `image_1`부터 `image_10`까지 레이블이 지정됩니다. 최소 1개의 이미지를 제공해야 합니다. 이미지 수에 따라 작동 모드가 결정됩니다. 단일 이미지는 편집 명령어에 사용되고, 여러 이미지(2~10개)는 주제 기반 개인화에 사용됩니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `negative` | CONDITIONING | 참조 이미지가 첨부된 긍정 컨디셔닝입니다. |
+| `negative` | CONDITIONING | 참조 이미지가 첨부된 부정 컨디셔닝입니다. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/pt-BR.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/pt-BR.md
new file mode 100644
index 000000000..e273dfbe4
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/pt-BR.md
@@ -0,0 +1,25 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/pt-BR.md)
+
+# Visão Geral
+
+Anexe imagens de referência tanto ao condicionamento positivo quanto ao negativo. Este nó permite fornecer uma ou mais imagens de referência que serão usadas para guiar o processo de geração de imagem, seja para edição baseada em instruções ou para personalização orientada por assunto.
+
+# Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Intervalo | Descrição |
+|-----------|--------------|-------------|-----------|-----------|
+| `positivo` | CONDITIONING | Sim | - | O condicionamento positivo ao qual anexar as imagens de referência. |
+| `negativo` | CONDITIONING | Sim | - | O condicionamento negativo ao qual anexar as imagens de referência. |
+| `imagens` | IMAGE | Sim | 1 a 10 imagens | Imagens de referência. 1 imagem permite edição baseada em instruções; 2 a 10 imagens permitem personalização orientada por assunto com múltiplas referências. |
+
+**Observação sobre o parâmetro `images`:** Esta é uma entrada de crescimento automático que aceita entre 1 e 10 imagens. As imagens são identificadas como `image_1` até `image_10`. Você deve fornecer pelo menos 1 imagem. O número de imagens determina o modo de operação: uma única imagem é usada para instruções de edição, enquanto múltiplas imagens (2 a 10) são usadas para personalização orientada por assunto.
+
+# Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `positivo` | CONDITIONING | O condicionamento positivo com as imagens de referência anexadas. |
+| `negativo` | CONDITIONING | O condicionamento negativo com as imagens de referência anexadas. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ru.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ru.md
new file mode 100644
index 000000000..130c019cf
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ru.md
@@ -0,0 +1,25 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ru.md)
+
+## Обзор
+
+Прикрепляет референсные изображения как к позитивному, так и к негативному кондиционированию. Этот узел позволяет указать одно или несколько референсных изображений, которые будут использоваться для управления процессом генерации изображений — либо для редактирования на основе инструкции, либо для персонализации на основе объекта.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `положительный` | CONDITIONING | Да | - | Позитивное кондиционирование, к которому прикрепляются референсные изображения. |
+| `отрицательный` | CONDITIONING | Да | - | Негативное кондиционирование, к которому прикрепляются референсные изображения. |
+| `изображения` | IMAGE | Да | от 1 до 10 изображений | Референсные изображения. 1 изображение включает редактирование на основе инструкции; 2-10 изображений включают мультиреференсную персонализацию на основе объекта. |
+
+**Примечание к параметру `images`:** Это автоматически расширяемый вход, принимающий от 1 до 10 изображений. Изображения маркируются как `image_1` – `image_10`. Необходимо предоставить как минимум 1 изображение. Количество изображений определяет режим работы: одно изображение используется для инструкций по редактированию, а несколько изображений (2-10) — для персонализации на основе объекта.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `положительный` | CONDITIONING | Позитивное кондиционирование с прикрепленными референсными изображениями. |
+| `отрицательный` | CONDITIONING | Негативное кондиционирование с прикрепленными референсными изображениями. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/tr.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/tr.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/tr.md
@@ -0,0 +1,25 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/tr.md)
+
+## Genel Bakış
+
+Hem pozitif hem de negatif koşullandırmaya referans görseller ekleyin. Bu düğüm, görüntü oluşturma sürecini yönlendirmek için kullanılacak bir veya daha fazla referans görsel sağlamanıza olanak tanır; bu, bir talimata dayalı düzenleme veya konu odaklı kişiselleştirme için yapılabilir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Gerekli | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `pozitif` | CONDITIONING | Evet | - | Referans görsellerin ekleneceği pozitif koşullandırma. |
+| `negatif` | CONDITIONING | Evet | - | Referans görsellerin ekleneceği negatif koşullandırma. |
+| `görseller` | IMAGE | Evet | 1 ila 10 görsel | Referans görseller. 1 görsel, talimata dayalı düzenlemeyi etkinleştirir; 2-10 görsel, çoklu referans konu odaklı kişiselleştirmeyi etkinleştirir. |
+
+**`images` parametresi hakkında not:** Bu, 1 ila 10 görsel arasında kabul eden otomatik büyüyen bir girdidir. Görseller `image_1` ile `image_10` arasında etiketlenir. En az 1 görsel sağlamanız gerekir. Görsel sayısı çalışma modunu belirler: tek bir görsel düzenleme talimatları için kullanılırken, birden fazla görsel (2-10) konu odaklı kişiselleştirme için kullanılır.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `negatif` | CONDITIONING | Referans görsellerin eklendiği pozitif koşullandırma. |
+| `negatif` | CONDITIONING | Referans görsellerin eklendiği negatif koşullandırma. |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh-TW.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh-TW.md
new file mode 100644
index 000000000..92aae77ad
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh-TW.md
@@ -0,0 +1,25 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh-TW.md)
+
+## 概述
+
+將參考影像附加到正向和負向條件化中。此節點允許您提供一個或多個參考影像，這些影像將用於引導影像生成過程，無論是基於指令進行編輯，還是用於主題驅動的個人化。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `正向` | CONDITIONING | 是 | - | 要附加參考影像的正向條件化。 |
+| `負向` | CONDITIONING | 是 | - | 要附加參考影像的負向條件化。 |
+| `參考圖像` | IMAGE | 是 | 1 到 10 張影像 | 參考影像。1 張影像啟用基於指令的編輯；2-10 張影像啟用多參考主題驅動的個人化。 |
+
+**關於 `images` 參數的說明：** 這是一個自動擴展輸入，可接受 1 到 10 張影像。影像標記為 `image_1` 到 `image_10`。您必須至少提供 1 張影像。影像數量決定了操作模式：單張影像用於編輯指令，而多張影像（2-10 張）則用於主題驅動的個人化。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `負向` | CONDITIONING | 已附加參考影像的正向條件化。 |
+| `負向` | CONDITIONING | 已附加參考影像的負向條件化。 |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh.md b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh.md
new file mode 100644
index 000000000..b86ce71c7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh.md
@@ -0,0 +1,25 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh.md)
+
+## ## 概述
+
+将参考图像附加到正向和负向条件化中。此节点允许您提供一个或多个参考图像，用于指导图像生成过程，无论是基于指令进行编辑，还是进行主体驱动的个性化生成。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必需 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `正向` | CONDITIONING | 是 | - | 要附加参考图像的正向条件化。 |
+| `负向` | CONDITIONING | 是 | - | 要附加参考图像的负向条件化。 |
+| `参考图像` | IMAGE | 是 | 1 到 10 张图像 | 参考图像。1 张图像启用基于指令的编辑；2-10 张图像启用多参考主体驱动的个性化生成。 |
+
+**关于 `images` 参数的说明：** 这是一个自动增长的输入，可接受 1 到 10 张图像。图像被标记为 `image_1` 到 `image_10`。您必须至少提供 1 张图像。图像数量决定了操作模式：单张图像用于编辑指令，而多张图像（2-10 张）用于主体驱动的个性化生成。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `正向` | CONDITIONING | 附加了参考图像的正向条件化。 |
+| `负向` | CONDITIONING | 附加了参考图像的负向条件化。 |
+
+---
+**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303`
diff --git a/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md b/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md
index 3ab435a7d..9310b3688 100644
--- a/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md
+++ b/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md)
-This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 4 megapixels.
+This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 32 megapixels.
## Inputs
@@ -9,9 +9,9 @@ This node enhances low-resolution images by upscaling them to super-resolution,
| `model` | STRING | Yes | `"generative_portrait"` `"generative"` | The enhancement model to use. The `generative_portrait` model is optimized for portraits, while `generative` is a general-purpose model. |
| `image` | IMAGE | Yes | - | The input image to be enhanced. |
| `upscale_factor` | INT | Yes | `1` `2` `4` | The factor by which to upscale the image's dimensions. A factor of 1 means no upscaling, 2 doubles the dimensions, and 4 quadruples them. |
-| `auto_downscale` | BOOLEAN | No | - | Automatically downscale input image if output would exceed the limit. When enabled, the node will attempt to reduce the input image size to fit within the 4 megapixel output limit before applying the requested upscale factor. (default: `False`) |
+| `auto_downscale` | BOOLEAN | No | - | Automatically downscale input image if output would exceed the limit. When enabled, the node will attempt to reduce the input image size or reduce the upscale factor to fit within the 32 megapixel output limit. (default: `False`) |
-**Note:** The node will raise an error if the calculated output size (input height × upscale_factor × input width × upscale_factor) exceeds 4,000,000 pixels (4MP) and `auto_downscale` is disabled. When `auto_downscale` is enabled, the node will attempt to downscale the input image to fit within the limit before applying the requested upscale factor. If downscaling by more than 2x would be required, the node will instead reduce the upscale factor.
+**Note:** The node will raise an error if the calculated output size (input height × upscale_factor × input width × upscale_factor) exceeds 32,000,000 pixels (32MP) and `auto_downscale` is disabled. When `auto_downscale` is enabled, the node will attempt to downscale the input image to fit within the limit before applying the requested upscale factor. If downscaling by more than 2x would be required, the node will instead reduce the upscale factor.
## Outputs
@@ -20,4 +20,4 @@ This node enhances low-resolution images by upscaling them to super-resolution,
| `image` | IMAGE | The enhanced and upscaled output image. |
---
-**Source fingerprint (SHA-256):** `29f927d39777acdfba2aad107027672d281c202ec78e04942e405c2cc64fcee4`
+**Source fingerprint (SHA-256):** `1cb59c04e517b6ecce3a4cb809d3cad26bb7a0fe6d16ddf72b9729e186e25d53`
diff --git a/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md b/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md
index 4267b9736..54e95a006 100644
--- a/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md
+++ b/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md
@@ -6,8 +6,8 @@ The HitPaw Video Enhance node uses an external API to improve the quality of vid
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | DYNAMIC COMBO | Yes | Multiple options available | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. The available models and their supported resolutions vary. |
-| `model.resolution` | COMBO | Yes | `"original"` `"720p"` `"1080p"` `"2k/qhd"` `"4k/uhd"` `"8k"` | The target resolution for the enhanced video. Some options may be unavailable depending on the selected `model`. |
+| `model` | DYNAMIC COMBO | Yes | `"Portrait Restore Model (1x)"` `"Portrait Restore Model (2x)"` `"General Restore Model (1x)"` `"General Restore Model (2x)"` `"General Restore Model (4x)"` `"Ultra HD Model (2x)"` `"Generative Model (1x)"` | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. The available models and their supported resolutions vary. |
+| `model.resolution` | COMBO | Yes | For `"Generative Model (1x)"`: `"original"` `"720p"` `"1080p"` `"2K/QHD"` `"4K/UHD"`
For all other models: `"original"` `"720p"` `"1080p"` `"2K/QHD"` `"4K/UHD"` `"8K"` | The target resolution for the enhanced video. The `"8K"` option is only available for models other than `"Generative Model (1x)"`. |
| `video` | VIDEO | Yes | N/A | The input video file to be enhanced. |
**Constraints:**
@@ -22,4 +22,4 @@ The HitPaw Video Enhance node uses an external API to improve the quality of vid
| `video` | VIDEO | The enhanced video file. |
---
-**Source fingerprint (SHA-256):** `0f329cbf61784474ee5b97a92d28a3e2383dc40e208f8a8317f3c4f60b43e5b2`
+**Source fingerprint (SHA-256):** `49291b3c610d32cf60fb4786333cb7e3d18c9de39c15577dabbd9f27bc9eac75`
diff --git a/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md b/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md
index e36fddf5b..945edf5a9 100644
--- a/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md
+++ b/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md
@@ -16,4 +16,4 @@ The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate condit
| `negative` | CONDITIONING | Negative conditioning data containing zero-valued embeddings matching the positive embeddings shape |
---
-**Source fingerprint (SHA-256):** `3a32967d62a0645b0c375b17ab96e20805c2e0005e585dddf5a3a77d35994fec`
+**Source fingerprint (SHA-256):** `93ee88ca001f59a344c7e3113da0200c75d7a566de9084103f69efe3270231e8`
diff --git a/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md b/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md
index decd524f3..194524958 100644
--- a/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md
+++ b/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md
@@ -21,4 +21,4 @@ The Hunyuan3Dv2ConditioningMultiView node processes multi-view CLIP vision embed
| `negative` | CONDITIONING | Negative conditioning with zero values for contrastive learning |
---
-**Source fingerprint (SHA-256):** `01998ae9ba7d2ae9a2f6a0b5aee4c03168f935fb9769317cd80d93a7a4b96f13`
+**Source fingerprint (SHA-256):** `b1e745e1b626508c974d3a90029f70b224bfefbe0988e98462fc9cb68d46a8f2`
diff --git a/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md b/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md
index ca80a3d49..ee16f03da 100644
--- a/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md
@@ -29,4 +29,4 @@ The HunyuanImageToVideo node converts images into video latent representations u
| `latent` | LATENT | Video latent representation ready for further processing by video generation models |
---
-**Source fingerprint (SHA-256):** `e55e935b7955b28b04014359c544a230c51ee91e21170be1ae4f50705d3e7bba`
+**Source fingerprint (SHA-256):** `171e60e0ff5bbe2715b83693212e91dd9a3e2236e7b4437c7e33929d6143ae4f`
diff --git a/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md b/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md
index 4ea78023c..a7d186974 100644
--- a/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md
+++ b/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md
@@ -20,4 +20,4 @@ The HunyuanRefinerLatent node processes conditioning and latent inputs for refin
| `latent` | LATENT | A new latent output with dimensions [batch_size, 32, height, width, channels] |
---
-**Source fingerprint (SHA-256):** `f097b58f1948e5c0801f81b51a5189619695a6afa189368aff4c64b126fc5ce5`
+**Source fingerprint (SHA-256):** `da9ba6729a4ff9147e3783841200ae5b6a9a20ab396e82d7ac6300faec3dc8f9`
diff --git a/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md b/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md
index 26c07c741..6ddee42aa 100644
--- a/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md
@@ -9,9 +9,9 @@ The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data
| `positive` | CONDITIONING | Yes | - | The positive conditioning prompts that describe what the video should contain. |
| `negative` | CONDITIONING | Yes | - | The negative conditioning prompts that describe what the video should avoid. |
| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) model used to encode the starting image into the latent space. |
-| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) |
-| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) |
-| `length` | INT | No | 1 to MAX_RESOLUTION | The total number of frames in the video sequence. Must be a multiple of 4. (default: 33) |
+| `width` | INT | No | 16 to MAX_RESOLUTION, step: 16 | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) |
+| `height` | INT | No | 16 to MAX_RESOLUTION, step: 16 | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) |
+| `length` | INT | No | 1 to MAX_RESOLUTION, step: 4 | The total number of frames in the video sequence. Must be a multiple of 4. (default: 33) |
| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate in a single batch. (default: 1) |
| `start_image` | IMAGE | No | - | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. Only the first `length` frames of the image are used. |
| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision embeddings to provide additional visual conditioning for the generation. |
@@ -27,4 +27,4 @@ The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data
| `latent` | LATENT | An empty latent tensor with dimensions configured for the specified batch size, video length, width, and height. |
---
-**Source fingerprint (SHA-256):** `2f41bbb080672683fb1755be575f08c79ca03e324df66953eb40631581197d47`
+**Source fingerprint (SHA-256):** `383b965a2e67c3643a13991ea5969c4d31ce17e48a57a400f89974f64e4b1e04`
diff --git a/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md b/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md
index ed9926825..6fd1b11b0 100644
--- a/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md
+++ b/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md
@@ -22,4 +22,4 @@ The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of
| `LATENT` | LATENT | The upscaled and model-refined latent image representation. |
---
-**Source fingerprint (SHA-256):** `1de9e157c1a0433f1b3d5ff4d428a1aa392fd65da5e314e6e818ce66495d5ef4`
+**Source fingerprint (SHA-256):** `2d249b1bf8eca3a27952cedfc4001b19efeeaeddb6ce461bdfc9b8bb3f2ada82`
diff --git a/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md b/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md
index e85becc7f..70a7b4559 100644
--- a/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md
+++ b/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md
@@ -25,4 +25,4 @@ The HunyuanVideo15SuperResolution node prepares conditioning data for a video su
| `latent` | LATENT | The input latent is passed through unchanged. |
---
-**Source fingerprint (SHA-256):** `f913327a81d034997fa8a485ca4b3691f75ba1d3c5c6e2e73ab107021b58a52a`
+**Source fingerprint (SHA-256):** `12bb48e731a265f806e5961950b3fc9c64e30148785e443a40c8d9f3ad9484e4`
diff --git a/comfyui_embedded_docs/docs/HyperTile/en.md b/comfyui_embedded_docs/docs/HyperTile/en.md
index 299216942..ff87f07ba 100644
--- a/comfyui_embedded_docs/docs/HyperTile/en.md
+++ b/comfyui_embedded_docs/docs/HyperTile/en.md
@@ -19,4 +19,4 @@ The HyperTile node applies a tiling technique to the attention mechanism in diff
| `model` | MODEL | The modified model with HyperTile optimization applied |
---
-**Source fingerprint (SHA-256):** `d3c55e6a38abecc8fe612dbb91a3ba26de9bc5cf8a187f01cf4746550f62f40a`
+**Source fingerprint (SHA-256):** `ea770eea3c628ffb166c2a15a6f75757cebd99c3fdd6225f041b3ef01a0e73c7`
diff --git a/comfyui_embedded_docs/docs/IdeogramV1/en.md b/comfyui_embedded_docs/docs/IdeogramV1/en.md
index 3b71c78f1..48af75f4d 100644
--- a/comfyui_embedded_docs/docs/IdeogramV1/en.md
+++ b/comfyui_embedded_docs/docs/IdeogramV1/en.md
@@ -8,7 +8,7 @@ The IdeogramV1 node generates images using the Ideogram V1 model through an API.
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) |
| `turbo` | BOOLEAN | Yes | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) |
-| `aspect_ratio` | COMBO | No | "1:1" "16:9" "9:16" "4:3" "3:4" "3:2" "2:3" | The aspect ratio for image generation (default: "1:1") |
+| `aspect_ratio` | COMBO | No | "1:1" "4:3" "3:4" "16:9" "9:16" "2:1" "1:2" "3:2" "2:3" "4:5" "5:4" | The aspect ratio for image generation (default: "1:1") |
| `magic_prompt_option` | COMBO | No | "AUTO" "ON" "OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") |
| `seed` | INT | No | 0-2147483647 | Random seed value for generation (default: 0) |
| `negative_prompt` | STRING | No | - | Description of what to exclude from the image (default: empty) |
@@ -23,4 +23,4 @@ The IdeogramV1 node generates images using the Ideogram V1 model through an API.
| `output` | IMAGE | The generated image(s) from the Ideogram V1 model |
---
-**Source fingerprint (SHA-256):** `7e453cd54b5db48588ed899b0754e0d06fdcfbaed248d13fb74b7049f0f25b8f`
+**Source fingerprint (SHA-256):** `a42654aea292811c5f872911d6ea7303a83ea058c7132737375d81c5c8a77740`
diff --git a/comfyui_embedded_docs/docs/IdeogramV2/en.md b/comfyui_embedded_docs/docs/IdeogramV2/en.md
index 0cdfb0e08..022c00f79 100644
--- a/comfyui_embedded_docs/docs/IdeogramV2/en.md
+++ b/comfyui_embedded_docs/docs/IdeogramV2/en.md
@@ -8,8 +8,8 @@ The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes t
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) |
| `turbo` | BOOLEAN | No | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) |
-| `aspect_ratio` | COMBO | No | "1:1" "16:9" "9:16" "4:3" "3:4" "3:2" "2:3" | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") |
-| `resolution` | COMBO | No | "Auto" "1024x1024" "1152x896" "896x1152" "1216x832" "832x1216" "1344x768" "768x1344" "1536x640" "640x1536" | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") |
+| `aspect_ratio` | COMBO | No | "1:1" "4:3" "3:4" "16:9" "9:16" "2:1" "1:2" "3:2" "2:3" "4:5" "5:4" | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") |
+| `resolution` | COMBO | No | "Auto" "512 x 1536" "576 x 1408" "576 x 1472" "576 x 1536" "640 x 1024" "640 x 1344" "640 x 1408" "640 x 1472" "640 x 1536" "704 x 1152" "704 x 1216" "704 x 1280" "704 x 1344" "704 x 1408" "704 x 1472" "720 x 1280" "736 x 1312" "768 x 1024" "768 x 1088" "768 x 1152" "768 x 1216" "768 x 1232" "768 x 1280" "768 x 1344" "832 x 960" "832 x 1024" "832 x 1088" "832 x 1152" "832 x 1216" "832 x 1248" "864 x 1152" "896 x 960" "896 x 1024" "896 x 1088" "896 x 1120" "896 x 1152" "960 x 832" "960 x 896" "960 x 1024" "960 x 1088" "1024 x 640" "1024 x 768" "1024 x 832" "1024 x 896" "1024 x 960" "1024 x 1024" "1088 x 768" "1088 x 832" "1088 x 896" "1088 x 960" "1120 x 896" "1152 x 704" "1152 x 768" "1152 x 832" "1152 x 864" "1152 x 896" "1216 x 704" "1216 x 768" "1216 x 832" "1232 x 768" "1248 x 832" "1280 x 704" "1280 x 720" "1280 x 768" "1280 x 800" "1312 x 736" "1344 x 640" "1344 x 704" "1344 x 768" "1408 x 576" "1408 x 640" "1408 x 704" "1472 x 576" "1472 x 640" "1472 x 704" "1536 x 512" "1536 x 576" "1536 x 640" | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") |
| `magic_prompt_option` | COMBO | No | "AUTO" "ON" "OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") |
| `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) |
| `style_type` | COMBO | No | "AUTO" "GENERAL" "REALISTIC" "DESIGN" "RENDER_3D" "ANIME" | Style type for generation (V2 only) (default: "NONE") |
@@ -25,4 +25,4 @@ The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes t
| `output` | IMAGE | The generated image(s) from the Ideogram V2 model |
---
-**Source fingerprint (SHA-256):** `c0ba21cb62ad75212c960e2bf6730a39c6479c7389a58c50968c66cc8964f5e3`
+**Source fingerprint (SHA-256):** `6d1f0d536756252434a1a831cd96228ee2386bfcaa60555acfe4bab7d16b61e3`
diff --git a/comfyui_embedded_docs/docs/IdeogramV3/en.md b/comfyui_embedded_docs/docs/IdeogramV3/en.md
index f2a0e049a..cc53fab27 100644
--- a/comfyui_embedded_docs/docs/IdeogramV3/en.md
+++ b/comfyui_embedded_docs/docs/IdeogramV3/en.md
@@ -9,8 +9,8 @@ The Ideogram V3 node generates images using the Ideogram V3 model. It supports b
| `prompt` | STRING | Yes | - | Prompt for the image generation or editing (default: empty) |
| `image` | IMAGE | No | - | Optional reference image for image editing |
| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) |
-| `aspect_ratio` | COMBO | No | "1:1" "16:9" "9:16" "4:3" "3:4" "3:2" "2:3" | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") |
-| `resolution` | COMBO | No | "Auto" "1024x1024" "1152x896" "896x1152" "1216x832" "832x1216" "1344x768" "768x1344" "1536x640" "640x1536" | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") |
+| `aspect_ratio` | COMBO | No | "1:1" "1:3" "3:1" "1:2" "2:1" "9:16" "16:9" "10:16" "16:10" "2:3" "3:2" "3:4" "4:3" "4:5" "5:4" | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") |
+| `resolution` | COMBO | No | "Auto" "512x1536" "576x1408" "576x1472" "576x1536" "640x1344" "640x1408" "640x1472" "640x1536" "704x1152" "704x1216" "704x1280" "704x1344" "704x1408" "704x1472" "736x1312" "768x1088" "768x1216" "768x1280" "768x1344" "800x1280" "832x960" "832x1024" "832x1088" "832x1152" "832x1216" "832x1248" "864x1152" "896x960" "896x1024" "896x1088" "896x1120" "896x1152" "960x832" "960x896" "960x1024" "960x1088" "1024x832" "1024x896" "1024x960" "1024x1024" "1088x768" "1088x832" "1088x896" "1088x960" "1120x896" "1152x704" "1152x832" "1152x864" "1152x896" "1216x704" "1216x768" "1216x832" "1248x832" "1280x704" "1280x768" "1280x800" "1312x736" "1344x640" "1344x704" "1344x768" "1408x576" "1408x640" "1408x704" "1472x576" "1472x640" "1472x704" "1536x512" "1536x576" "1536x640" | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") |
| `magic_prompt_option` | COMBO | No | "AUTO" "ON" "OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") |
| `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) |
| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) |
@@ -34,4 +34,4 @@ The Ideogram V3 node generates images using the Ideogram V3 model. It supports b
| `output` | IMAGE | The generated or edited image(s) |
---
-**Source fingerprint (SHA-256):** `0d0058cc8483c453100d8d9dfcb9a31ae5e686f38ced77ed7e472cd083c3464b`
+**Source fingerprint (SHA-256):** `b3ddd489ee96b4b378ae432254d8e97bccafc20e38055b213c0ad3b7818cb4c0`
diff --git a/comfyui_embedded_docs/docs/ImageAddNoise/en.md b/comfyui_embedded_docs/docs/ImageAddNoise/en.md
index 48e49a8ed..b037f5035 100644
--- a/comfyui_embedded_docs/docs/ImageAddNoise/en.md
+++ b/comfyui_embedded_docs/docs/ImageAddNoise/en.md
@@ -7,8 +7,8 @@ The ImageAddNoise node adds random noise to an input image. It uses a specified
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | The input image to which noise will be added |
-| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) |
-| `strength` | FLOAT | Yes | 0.0 to 1.0 | Controls the intensity of the noise effect (default: 0.5) |
+| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0). This parameter supports "control after generate" functionality. |
+| `strength` | FLOAT | Yes | 0.0 to 1.0 | Controls the intensity of the noise effect (default: 0.5, step: 0.01) |
## Outputs
@@ -17,4 +17,4 @@ The ImageAddNoise node adds random noise to an input image. It uses a specified
| `image` | IMAGE | The output image with added noise applied |
---
-**Source fingerprint (SHA-256):** `8abfc64500e5ff8fe7589763a07c15d771e9a5a6a61bae9ec4d819be9bf71810`
+**Source fingerprint (SHA-256):** `d35471d5402a322e175958c42a20c56a42199a129e8197030071a1495a9eab6a`
diff --git a/comfyui_embedded_docs/docs/ImageCompare/en.md b/comfyui_embedded_docs/docs/ImageCompare/en.md
index c1fcd3419..4d535c30d 100644
--- a/comfyui_embedded_docs/docs/ImageCompare/en.md
+++ b/comfyui_embedded_docs/docs/ImageCompare/en.md
@@ -17,4 +17,4 @@ The Image Compare node provides a visual interface to compare two images side-by
This node is an output node and does not produce any data outputs for use in other nodes. Its function is to display the provided images in the ComfyUI interface.
---
-**Source fingerprint (SHA-256):** `2bc980cd20aad3cf60300868599bbce8eaba1cdb21880d2b3f4cd628108d8139`
+**Source fingerprint (SHA-256):** `78dc2addde0b1b867303b5f534c09b60342a3d94d829d314c71b29ce7707648e`
diff --git a/comfyui_embedded_docs/docs/ImageCropV2/en.md b/comfyui_embedded_docs/docs/ImageCropV2/en.md
index 806b70adb..10fb677d7 100644
--- a/comfyui_embedded_docs/docs/ImageCropV2/en.md
+++ b/comfyui_embedded_docs/docs/ImageCropV2/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md)
-The Image Crop node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns the cropped portion of the original image.
+The Crop Image node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns the cropped portion of the original image.
## Inputs
@@ -18,4 +18,4 @@ The Image Crop node extracts a rectangular section from an input image. You defi
| `image` | IMAGE | The cropped section of the original input image. |
---
-**Source fingerprint (SHA-256):** `9d3543aa8396ae2ab0353accc3c89ae6be6495f6fdcefbb5439fa865a5d3059f`
+**Source fingerprint (SHA-256):** `c09c68a46c4b0418903a627b98dd848264d53b58bd3ffe99e40ef125b15b3aae`
diff --git a/comfyui_embedded_docs/docs/ImageDeduplication/en.md b/comfyui_embedded_docs/docs/ImageDeduplication/en.md
index 294c4002e..804628f58 100644
--- a/comfyui_embedded_docs/docs/ImageDeduplication/en.md
+++ b/comfyui_embedded_docs/docs/ImageDeduplication/en.md
@@ -16,4 +16,4 @@ This node removes duplicate or very similar images from a batch. It works by cre
| `images` | IMAGE | The filtered list of images with duplicates removed. |
---
-**Source fingerprint (SHA-256):** `8904f9dee4ca911821e76d2317983cbc230c4821a9ee7876180bd7dbe42b9a54`
+**Source fingerprint (SHA-256):** `d0c40694853c3dd0952d58b920bf735a4626cb2921928bb982ba479dc58fbe53`
diff --git a/comfyui_embedded_docs/docs/ImageFlip/en.md b/comfyui_embedded_docs/docs/ImageFlip/en.md
index 65c7340af..7875beb38 100644
--- a/comfyui_embedded_docs/docs/ImageFlip/en.md
+++ b/comfyui_embedded_docs/docs/ImageFlip/en.md
@@ -16,4 +16,4 @@ The ImageFlip node flips images along different axes. It can flip images vertica
| `image` | IMAGE | The flipped output image |
---
-**Source fingerprint (SHA-256):** `5cb9949c53653192b1a696179351976c3a87e2e7afc4634624b4d827ad75b527`
+**Source fingerprint (SHA-256):** `481cd167d57746f242fcc4b5f2e3bb0bff0184b5870626d5f24a34422464ddd6`
diff --git a/comfyui_embedded_docs/docs/ImageGrid/en.md b/comfyui_embedded_docs/docs/ImageGrid/en.md
index afc2c0f41..70abb1f17 100644
--- a/comfyui_embedded_docs/docs/ImageGrid/en.md
+++ b/comfyui_embedded_docs/docs/ImageGrid/en.md
@@ -19,4 +19,4 @@ The Image Grid node combines multiple images into a single, organized grid or co
| `image` | IMAGE | The single output image containing all the input images arranged in a grid. |
---
-**Source fingerprint (SHA-256):** `79d0942c79d3966d06fe804f839c1d677764cef90265bd621bf915fe6de0ad46`
+**Source fingerprint (SHA-256):** `87bc0af8af33a0fd703f13fec782075502c9562847fa3887a2273afa5b28c47e`
diff --git a/comfyui_embedded_docs/docs/ImageHistogram/en.md b/comfyui_embedded_docs/docs/ImageHistogram/en.md
index 65686968f..bbb2b7b42 100644
--- a/comfyui_embedded_docs/docs/ImageHistogram/en.md
+++ b/comfyui_embedded_docs/docs/ImageHistogram/en.md
@@ -19,4 +19,4 @@ The ImageHistogram node analyzes the color distribution of an input image. It ca
| `blue` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the blue color channel. |
---
-**Source fingerprint (SHA-256):** `9bfcdb2907ab1e5cb2a9a736671fb9286b0e6ce6439fab95187f691b969ea53d`
+**Source fingerprint (SHA-256):** `026a470129a49794bc1ddcdd3ecd8e8ad95b43fc94db4387f0e2de365b305879`
diff --git a/comfyui_embedded_docs/docs/ImageMergeTileList/en.md b/comfyui_embedded_docs/docs/ImageMergeTileList/en.md
index ce585822d..900db4aef 100644
--- a/comfyui_embedded_docs/docs/ImageMergeTileList/en.md
+++ b/comfyui_embedded_docs/docs/ImageMergeTileList/en.md
@@ -20,4 +20,4 @@ This node takes a list of image tiles and merges them back into a single, larger
| `image` | IMAGE | The final merged image, reconstructed from the input tiles. |
---
-**Source fingerprint (SHA-256):** `f8f770ca2e9806d2feb55bb1dfe2c26b09d7a3506caf664990d8536ec5660c92`
+**Source fingerprint (SHA-256):** `41b570bf758093f3693c015e7976b946b9d93ca56db2bf66617149f259ae8c06`
diff --git a/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md b/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md
index 0b66febaa..1ce6c72d3 100644
--- a/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md
+++ b/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md)
-The ImageRGBToYUV node converts RGB color images to the YUV color space. It takes an RGB image as input and separates it into three distinct channels: Y (luminance), U (blue projection), and V (red projection). Each output channel is returned as a separate grayscale image representing the corresponding YUV component.
+The ImageRGBToYUV node converts an RGB image into the YUV color space. It separates the image into three channels: Y (luminance, or brightness), U (blue-difference), and V (red-difference), and returns each as a separate image.
## Inputs
@@ -13,8 +13,8 @@ The ImageRGBToYUV node converts RGB color images to the YUV color space. It take
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
| `Y` | IMAGE | The luminance (brightness) component of the YUV color space |
-| `U` | IMAGE | The blue projection component of the YUV color space |
-| `V` | IMAGE | The red projection component of the YUV color space |
+| `U` | IMAGE | The blue-difference chroma component of the YUV color space |
+| `V` | IMAGE | The red-difference chroma component of the YUV color space |
---
-**Source fingerprint (SHA-256):** `119cba119b62c7b46ffdd2c0feca932a9af1ec41c338fead23c21fdf76a6abb2`
+**Source fingerprint (SHA-256):** `727d9346a77f4efc015683a942b56e530deada1ff1f37dac0e67f96913ffd8ce`
diff --git a/comfyui_embedded_docs/docs/ImageRotate/en.md b/comfyui_embedded_docs/docs/ImageRotate/en.md
index 86ace400a..67f0f9824 100644
--- a/comfyui_embedded_docs/docs/ImageRotate/en.md
+++ b/comfyui_embedded_docs/docs/ImageRotate/en.md
@@ -16,4 +16,4 @@ The ImageRotate node rotates an input image by specified angles. It supports fou
| `image` | IMAGE | The rotated output image |
---
-**Source fingerprint (SHA-256):** `068946b31ebe87b2524a1e628b5bc0a3da7367d7252fa7afafe96bcbb174747d`
+**Source fingerprint (SHA-256):** `1de36d9e42e64fe80cc13dd7da96bd946f02ba78d81317f073cf54c4e5bd12f7`
diff --git a/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md b/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md
index 75d2f3a38..4e1ab5728 100644
--- a/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md
+++ b/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md
@@ -17,4 +17,4 @@ The ImageScaleToMaxDimension node resizes images to fit within a specified maxim
| `image` | IMAGE | The scaled image with the largest dimension matching the specified size |
---
-**Source fingerprint (SHA-256):** `be113c1a98ab9d884b2c728b790c41fb236857d59af567e43e2be0ef0362cc5e`
+**Source fingerprint (SHA-256):** `83eba56d9f673fb570edc6504fd82f1274ead1d3e055a1a8bcc207c178388015`
diff --git a/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md b/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md
index 933ceec64..2397d51c2 100644
--- a/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md
+++ b/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md
@@ -19,4 +19,4 @@ The ImageYUVToRGB node converts YUV color space images to RGB color space. It ta
| `output` | IMAGE | The converted RGB image |
---
-**Source fingerprint (SHA-256):** `ee160be21fce75b3a3e41e25dc1cb0b20305383ff26f9698f07b93d42f98c64f`
+**Source fingerprint (SHA-256):** `5aefb7b87ff76e03af9259f9dac06f027668d83618693e3c9dcfd17b95441070`
diff --git a/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md b/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md
index aa44701d6..4f9da5997 100644
--- a/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md
+++ b/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md
@@ -22,4 +22,4 @@ The InstructPixToPixConditioning node prepares conditioning data for InstructPix
| `latent` | LATENT | Empty latent tensor with the same dimensions as the encoded image |
---
-**Source fingerprint (SHA-256):** `4b2383c9d64efdb558758359bf544fc5a1be65c12b23b54152e2df79a6dd8d79`
+**Source fingerprint (SHA-256):** `ac48cc0d3c77f1e399b615068291ae60801f36a6c4e1ae47d624fbc08e0b7264`
diff --git a/comfyui_embedded_docs/docs/InvertBooleanNode/en.md b/comfyui_embedded_docs/docs/InvertBooleanNode/en.md
index a96f5056d..73d98a315 100644
--- a/comfyui_embedded_docs/docs/InvertBooleanNode/en.md
+++ b/comfyui_embedded_docs/docs/InvertBooleanNode/en.md
@@ -15,4 +15,4 @@ This node takes a single boolean (true/false) input and outputs the opposite val
| `output` | BOOLEAN | The inverted boolean value. |
---
-**Source fingerprint (SHA-256):** `7c927252a80f42836af6ef16f76714e6892454733d698674b547bd65ddb9d607`
+**Source fingerprint (SHA-256):** `c512b0f8847c971776c2aebe0c6053ca17a66f756b1b90c803d1a6ef9d3d0ad0`
diff --git a/comfyui_embedded_docs/docs/JoinAudioChannels/en.md b/comfyui_embedded_docs/docs/JoinAudioChannels/en.md
index 1a47d168d..c415e6fba 100644
--- a/comfyui_embedded_docs/docs/JoinAudioChannels/en.md
+++ b/comfyui_embedded_docs/docs/JoinAudioChannels/en.md
@@ -18,4 +18,4 @@ The Join Audio Channels node combines two separate mono audio inputs into a sing
| `audio` | AUDIO | The resulting stereo audio, containing the joined left and right channels. |
---
-**Source fingerprint (SHA-256):** `6dced8c2288fb8f214e04b621ed3ab934231983d7987ff08aa43da6814331be0`
+**Source fingerprint (SHA-256):** `8a68e59e0d037882e9dd87d93b38673a0de3072bab2c574c7a9750de93b50a68`
diff --git a/comfyui_embedded_docs/docs/JsonExtractString/en.md b/comfyui_embedded_docs/docs/JsonExtractString/en.md
index 85bd923e2..e64b4b77b 100644
--- a/comfyui_embedded_docs/docs/JsonExtractString/en.md
+++ b/comfyui_embedded_docs/docs/JsonExtractString/en.md
@@ -6,10 +6,10 @@ The JsonExtractString node reads a text string containing JSON data and extracts
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `json_string` | STRING | Yes | N/A | The text containing the JSON data to be parsed. |
-| `key` | STRING | Yes | N/A | The specific key whose string value you want to extract from the JSON object. |
+| `json_string` | STRING | Yes | N/A | The text containing the JSON data to be parsed. This field supports multiline input. |
+| `key` | STRING | Yes | N/A | The specific key whose value you want to extract from the JSON object. This field supports single-line input only. |
-**Note:** The node only extracts values from JSON objects (dictionaries). If the parsed JSON is not an object or if the specified key does not exist within it, the output will be an empty string.
+**Note:** The node only extracts values from JSON objects (dictionaries). If the parsed JSON is not an object or if the specified key does not exist within it, the output will be an empty string. If the value associated with the key is `null`, the node also returns an empty string.
## Outputs
@@ -18,4 +18,4 @@ The JsonExtractString node reads a text string containing JSON data and extracts
| `output` | STRING | The string value extracted from the JSON for the specified key, or an empty string if the extraction fails. |
---
-**Source fingerprint (SHA-256):** `f05e2d9fd4888870a844c85ac7543d6c38c1c56f2ef22a402fc93ee716743612`
+**Source fingerprint (SHA-256):** `ef99b7d2aa82dd290624edaf03f509ade91438639e056b4cb67057b0881b9dc3`
diff --git a/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md b/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md
index 3d7e9fc7f..220279bd4 100644
--- a/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md
@@ -27,4 +27,4 @@ The Kandinsky5ImageToVideo node prepares conditioning and latent space data for
| `cond_latent` | LATENT | The clean, encoded latent representation of the provided start images. This is used internally to replace the noisy beginning of the generated video latents. |
---
-**Source fingerprint (SHA-256):** `19d3b60be18f5adcd659563329988bce2511a1b27b33fd0ab3a9d93e265557f2`
+**Source fingerprint (SHA-256):** `c171187b89f102d608ddee9dc981e56674d62b02d936b3cf4dee3ce86760fd0e`
diff --git a/comfyui_embedded_docs/docs/KlingAvatarNode/en.md b/comfyui_embedded_docs/docs/KlingAvatarNode/en.md
index 5faf03a29..e0422a10d 100644
--- a/comfyui_embedded_docs/docs/KlingAvatarNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingAvatarNode/en.md
@@ -21,4 +21,4 @@ The Kling Avatar 2.0 node generates broadcast-style digital human videos from a
| `output` | VIDEO | The generated digital human video. |
---
-**Source fingerprint (SHA-256):** `85793d3820a89ef98bb54cb930486847d4fd64cce5470ba34574ec319f8ea8c6`
+**Source fingerprint (SHA-256):** `d9264e250c578dcb38612c192f8567a8f48c6624e030d8765b13bb71aae2d0b8`
diff --git a/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md b/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md
index 9bac91170..d6ec5f9a8 100644
--- a/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md
@@ -7,8 +7,8 @@ The Kling Image to Video Camera Control Node transforms still images into cinema
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 and 2.5:1. Base64 should not include data:image prefix. |
-| `prompt` | STRING | Yes | - | Positive text prompt describing the desired video content |
-| `negative_prompt` | STRING | Yes | - | Negative text prompt describing what to avoid in the generated video |
+| `prompt` | STRING | Yes | - | Positive text prompt describing the desired video content. Maximum length is 500 characters. |
+| `negative_prompt` | STRING | Yes | - | Negative text prompt describing what to avoid in the generated video. Maximum length is 500 characters. |
| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Controls the strength of text guidance. Higher values make the output more closely follow the prompt (default: 0.75) |
| `aspect_ratio` | COMBO | No | `"16:9"` `"9:16"` `"1:1"` | The aspect ratio of the generated video (default: "16:9") |
| `camera_control` | CAMERA_CONTROL | Yes | - | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. |
@@ -22,4 +22,4 @@ The Kling Image to Video Camera Control Node transforms still images into cinema
| `duration` | STRING | Duration of the generated video |
---
-**Source fingerprint (SHA-256):** `a2965975cd484768298f4c7e504423f782ea032dfb5ef304579715be9c27cb79`
+**Source fingerprint (SHA-256):** `c7c0ef732a97d60b03c6942a9f026a23982ea5d86746520772cc6bf2f450865c`
diff --git a/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md b/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md
index f5f67f91d..af7e000f1 100644
--- a/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md
@@ -21,4 +21,4 @@ Kling Text to Video Camera Control Node transforms text into cinematic videos wi
| `duration` | STRING | The duration of the generated video |
---
-**Source fingerprint (SHA-256):** `4ebdd6af31f9e5c0816c4bcba886179b3f7d2b5030ff4fa3ddad6df25c528af7`
+**Source fingerprint (SHA-256):** `c2e6ea8f136d3bb82d6627b3362a8a4dfb9cb0414f6d846e5283e49a0ba6d357`
diff --git a/comfyui_embedded_docs/docs/KlingCameraControls/en.md b/comfyui_embedded_docs/docs/KlingCameraControls/en.md
index 6d34e0c28..8691caf2b 100644
--- a/comfyui_embedded_docs/docs/KlingCameraControls/en.md
+++ b/comfyui_embedded_docs/docs/KlingCameraControls/en.md
@@ -23,4 +23,4 @@ The Kling Camera Controls node allows you to configure various camera movement a
| `camera_control` | CAMERA_CONTROL | Returns the configured camera control settings for use in video generation |
---
-**Source fingerprint (SHA-256):** `4e1d826518ae17afd2c0aa22ebf6cce67b3ef33bb1730f0ce5ead5b9431cd548`
+**Source fingerprint (SHA-256):** `35bc9a47bb58f847e73b87156d099e821bd791546f6126dc78e47c5494a7851c`
diff --git a/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md b/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md
index cec253e57..7a96a7992 100644
--- a/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md
@@ -21,4 +21,4 @@ The Kling Dual Character Video Effect Node creates videos with special effects b
| `duration` | STRING | The duration information of the generated video |
---
-**Source fingerprint (SHA-256):** `4ee0c3cd834e1c70e41b40b66ac98d15a8b88993e7dc9d9df9fb4fadb868f079`
+**Source fingerprint (SHA-256):** `995616159d0b61a5398ec93e847b04fed8133a28a37f597427f0335ca17920b9`
diff --git a/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md
index fc9a2d6a5..8034a1b71 100644
--- a/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md
@@ -24,4 +24,4 @@ This node uses the Kling 3.0 model to generate a video. It creates the video bas
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `5c904fec35b2bb41cf521263b1b06fd36ba227400b4cec24e79a4e80618e4bae`
+**Source fingerprint (SHA-256):** `def99b6a37962b5a28be1025ce41ae50bf7b90246c50894fcf3419365f807b2f`
diff --git a/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md b/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md
index c869dbc83..a64404dc3 100644
--- a/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md
@@ -6,12 +6,12 @@ The Kling Image to Video Node generates a video from a starting reference image
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `start_frame` | IMAGE | Yes | - | The reference image used to generate the video. |
-| `prompt` | STRING | Yes | - | Positive text prompt. |
-| `negative_prompt` | STRING | Yes | - | Negative text prompt. |
+| `start_frame` | IMAGE | Yes | - | The reference image used to generate the video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. |
+| `prompt` | STRING | Yes | - | Positive text prompt. Maximum 500 characters. |
+| `negative_prompt` | STRING | Yes | - | Negative text prompt. Maximum 500 characters. |
| `model_name` | COMBO | Yes | `"kling-v2-master"` `"kling-v2-1-master"` `"kling-v2-5-turbo"` `"kling-v2-1"` `"kling-v1-6"` `"kling-v1-5"` `"kling-v1-4"` `"kling-v1-0"` | The model used for video generation (default: `"kling-v2-master"`). |
| `cfg_scale` | FLOAT | Yes | 0.0 to 1.0 | Controls how closely the video follows the prompt. Higher values mean stronger adherence (default: 0.8). |
-| `mode` | COMBO | Yes | `"std"` `"pro"` | The generation mode. `"std"` is standard quality, `"pro"` is higher quality (default: `"std"`). |
+| `mode` | COMBO | Yes | `"std"` `"pro"` | The generation mode. `"std"` is standard quality, `"pro"` is higher quality (default: `"std"`). Note: When using the `kling-v2-5-turbo` model, `"std"` mode is not supported and will be automatically switched to `"pro"`. |
| `aspect_ratio` | COMBO | Yes | `"16:9"` `"9:16"` `"1:1"` | The aspect ratio of the generated video (default: `"16:9"`). |
| `duration` | COMBO | Yes | `"5"` `"10"` | The duration of the generated video in seconds (default: `"5"`). |
@@ -24,4 +24,4 @@ The Kling Image to Video Node generates a video from a starting reference image
| `duration` | STRING | Duration information for the generated video. |
---
-**Source fingerprint (SHA-256):** `2f82997307265dba6714733523e265d1e0a25fd7491b043f05d7d000b7b9b2f3`
+**Source fingerprint (SHA-256):** `2845117c840372d457c58bfb8da077ccac32a9398e5679120104d8ee597d4855`
diff --git a/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md b/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md
index 242c1707c..cbb3eb3ee 100644
--- a/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md
@@ -21,7 +21,7 @@ Kling Image Generation Node generates images from text prompts with the option t
- The `image` parameter is optional. When a reference image is provided, the `image_type` parameter must be set to either `"subject_reference"` or `"style_reference"`.
- When no reference image is provided, the `image_type`, `image_fidelity`, and `human_fidelity` parameters are not used.
-- Prompt and negative prompt have a maximum length of `MAX_PROMPT_LENGTH_IMAGE_GEN` characters.
+- Prompt and negative prompt have a maximum length of 500 characters.
- The `seed` parameter is optional and does not guarantee deterministic results.
## Outputs
@@ -31,4 +31,4 @@ Kling Image Generation Node generates images from text prompts with the option t
| `output` | IMAGE | Generated image(s) based on the input parameters |
---
-**Source fingerprint (SHA-256):** `f25164f4007b1f62285e76519238b5061b63597e1a06365acf93d4289063bd3a`
+**Source fingerprint (SHA-256):** `3c029920c966ac9a3588a790e83e1350021a0864a02677258a25af46a0770dce`
diff --git a/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md b/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md
index f2ea43c57..0bc574dd2 100644
--- a/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md
+++ b/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md
@@ -20,4 +20,4 @@ The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to
| `video` | VIDEO | The generated video file, which may include audio depending on the `generate_audio` input. |
---
-**Source fingerprint (SHA-256):** `f161eedbc5d780805e3d0ca32b6be94cc78afcd2749e065c032ea20991b782fc`
+**Source fingerprint (SHA-256):** `c994748fdfa6d79f81aaf864ec174a6b608c4f05943a7e23edd345608122d9a1`
diff --git a/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md
index 731463c4f..2be119f83 100644
--- a/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md
@@ -28,4 +28,4 @@ Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file
| `duration` | STRING | The duration of the processed video |
---
-**Source fingerprint (SHA-256):** `92b8a7a4f9508632155a5f69707ffc4a14f2f44c04e4d01bf46476a972465592`
+**Source fingerprint (SHA-256):** `bc6dcc5a1e3b873edc0c65cc156bb622992866920a4975a308d8cdb8a3c0e71a`
diff --git a/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md
index d29e9a50e..98f0b2019 100644
--- a/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md
@@ -6,9 +6,9 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `video` | VIDEO | Yes | - | Input video file for lip synchronization |
+| `video` | VIDEO | Yes | - | Input video file for lip synchronization. Video must be between 720px and 1920px in height/width, between 2s and 10s in duration, and no larger than 100MB. |
| `text` | STRING | Yes | - | Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters. |
-| `voice` | COMBO | No | "Melody" "Bella" "Aria" "Ethan" "Ryan" "Dorothy" "Nathan" "Lily" "Aaron" "Emma" "Grace" "Henry" "Isabella" "James" "Katherine" "Liam" "Mia" "Noah" "Olivia" "Sophia" | Voice selection for the lip-sync audio (default: "Melody") |
+| `voice` | COMBO | No | "Melody" "Sunny" "Sage" "Ace" "Blossom" "Peppy" "Dove" "Shine" "Anchor" "Lyric" "Tender" "Siren" "Zippy" "Bud" "Sprite" "Candy" "Beacon" "Rock" "Titan" "Grace" "Helen" "Lore" "Crag" "Prattle" "Hearth" "The Reader" "Commercial Lady" "阳光少年" "懂事小弟" "运动少年" "青春少女" "温柔小妹" "元气少女" "阳光男生" "幽默小哥" "文艺小哥" "甜美邻家" "温柔姐姐" "职场女青" "活泼男童" "俏皮女童" "稳重老爸" "温柔妈妈" "严肃上司" "优雅贵妇" "慈祥爷爷" "唠叨爷爷" "唠叨奶奶" "和蔼奶奶" "东北老铁" "重庆小伙" "四川妹子" "潮汕大叔" "台湾男生" "西安掌柜" "天津姐姐" "新闻播报男" "译制片男" "撒娇女友" "刀片烟嗓" "乖巧正太" | Voice selection for the lip-sync audio (default: "Melody"). Includes both English and Chinese voice options. |
| `voice_speed` | FLOAT | No | 0.8-2.0 | Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place. (default: 1) |
**Video Requirements:**
@@ -26,4 +26,4 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t
| `duration` | STRING | Duration information for the generated video |
---
-**Source fingerprint (SHA-256):** `f16200d52ba05acfedebc027dde91e2c91bdbb80086888d947c9f56a4e92856d`
+**Source fingerprint (SHA-256):** `fb6d208be684f8fc38f692c0439bcfebafc8c448932bc54fa4730da87113f376`
diff --git a/comfyui_embedded_docs/docs/KlingMotionControl/en.md b/comfyui_embedded_docs/docs/KlingMotionControl/en.md
index 1768b84f5..a206c7bcd 100644
--- a/comfyui_embedded_docs/docs/KlingMotionControl/en.md
+++ b/comfyui_embedded_docs/docs/KlingMotionControl/en.md
@@ -26,4 +26,4 @@ The Kling Motion Control node generates a video by applying the motion, expressi
| `output` | VIDEO | The generated video with the character performing the motion from the reference video. |
---
-**Source fingerprint (SHA-256):** `4159b10496e85ae93f522865494e9bc99ba08bda00df1601bca2314e61fb32df`
+**Source fingerprint (SHA-256):** `3e350ca448a927367edfc90c5abb572be7ffa589c9e8e8734066af280233bd60`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md
index 219144354..63d448ef3 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md
@@ -30,4 +30,4 @@ The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video
| `video` | VIDEO | The edited video generated by the AI model. |
---
-**Source fingerprint (SHA-256):** `ddc3fdc8c97cdcdd34f16a0916b13ffe6adeb46e58e2933516c9a6aef7c36730`
+**Source fingerprint (SHA-256):** `770f1944738c06523a537a1add85340ea9264771f62e463f4985ca6bcacddf78`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md
index dd4258bc8..dae1143d5 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md
@@ -37,4 +37,4 @@ This node uses the latest Kling AI model to generate a video from a start frame,
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `bd0fb11242b7f79062079b1aa48c3524abf59ecf06a90f013e57b6910cd8e224`
+**Source fingerprint (SHA-256):** `caa8c321124c70cb9cbeedee13cdde4c37c7e107c04265b4baf2dd8864a1fc65`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md
index 5d451f1c0..368a67f83 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md
@@ -7,7 +7,7 @@ The Kling Omni Image (Pro) node creates or edits images using the latest Kling A
| Parameter | Data Type | Required | Range | Description |
| :--- | :--- | :--- | :--- | :--- |
| `model_name` | COMBO | Yes | `"kling-v3-omni"` `"kling-image-o1"` | The specific Kling AI model to use for image generation. |
-| `prompt` | STRING | Yes | - | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. |
+| `prompt` | STRING | Yes | - | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. You can use `@image`, `@image1`, `@image2`, etc. or `@video`, `@video1`, `@video2`, etc. to reference uploaded images or videos in the prompt. |
| `resolution` | COMBO | Yes | `"1K"` `"2K"` `"4K"` | The target resolution for the generated image. Note: 4K resolution is not supported for the `kling-image-o1` model. |
| `aspect_ratio` | COMBO | Yes | `"16:9"` `"9:16"` `"1:1"` `"4:3"` `"3:4"` `"3:2"` `"2:3"` `"21:9"` | The desired aspect ratio (width to height) for the generated image. |
| `series_amount` | COMBO | Yes | `"disabled"` `"2"` `"3"` `"4"` `"5"` `"6"` `"7"` `"8"` `"9"` | Generate a series of images. This feature is not supported for the `kling-image-o1` model. (default: "disabled") |
@@ -21,4 +21,4 @@ The Kling Omni Image (Pro) node creates or edits images using the latest Kling A
| `image` | IMAGE | The final image(s) generated or edited by the Kling AI model. If a series was requested, multiple images are returned as a batch. |
---
-**Source fingerprint (SHA-256):** `7bbed260436bc60e284c99e091cd28b2b0cf50e98e876f94278f1ac2834e61f8`
+**Source fingerprint (SHA-256):** `b1d25806bc3b8eaa5ee8677a32b1f1f45189b800a2bfe1664635eaa851c34032`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md
index 63e2a313b..af33cd85d 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md
@@ -31,4 +31,4 @@ This node uses the Kling AI model to generate a video based on a text prompt and
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `80f4568be81b23c75bfff2bd3f21a61b242563c3c9fb1985a03e76ace24dceb2`
+**Source fingerprint (SHA-256):** `e1fe0433a604fbc071fdd426121a1f4ff10bb0aa6d3eb2d702306b7206dae4c0`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md
index 8baffd7c3..b8afbbf38 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md
@@ -37,4 +37,4 @@ This node uses the latest Kling AI model to generate a video from a text descrip
| `output` | VIDEO | The video generated based on the provided text prompt and settings. |
---
-**Source fingerprint (SHA-256):** `2f867e0bd2e7b0ec901a9ad8d2adcfe712ed479c1613b80f86af3a20863e9f4c`
+**Source fingerprint (SHA-256):** `8789c78184356c8ca1d84e046a2c8db644b6e47822d909d95e9d7417f2311109`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md
index 633bd9750..36d01bf39 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md
@@ -30,4 +30,4 @@ This node uses the Kling AI model to generate a new video based on an input vide
| `output` | VIDEO | The newly generated video. |
---
-**Source fingerprint (SHA-256):** `1bed976530603bcf7db67048e89ad6adac218fba8597744f8ece3e16a2ee4993`
+**Source fingerprint (SHA-256):** `aa99b865ca96ec5c2d5535d3392e8dc94dd5e56ebf624f8fdff09302767ab300`
diff --git a/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md b/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md
index f184dd0ce..fd48a154c 100644
--- a/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md
@@ -22,4 +22,4 @@ The Kling Single Image Video Effect Node creates videos with different special e
| `duration` | STRING | The duration of the generated video |
---
-**Source fingerprint (SHA-256):** `519db2f7185f200140c746bdebf89383523e0342bbfb61538adac063295d365d`
+**Source fingerprint (SHA-256):** `7e9d1e2830f16361587d3d1f082fb2536d36ca9d933aa9e2ced32eeb65a161ea`
diff --git a/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md b/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md
index 047fd6f84..f3354e84b 100644
--- a/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md
@@ -12,7 +12,7 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be
| `negative_prompt` | STRING | Yes | - | Negative text prompt |
| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls the strength of the prompt guidance (default: 0.5) |
| `aspect_ratio` | COMBO | No | "16:9" "9:16" "1:1" | The aspect ratio for the generated video (default: "16:9") |
-| `mode` | COMBO | No | Multiple options available | The configuration to use for the video generation following the format: mode / duration / model_name. (default: the seventh option from available modes) |
+| `mode` | COMBO | No | "pro mode / 5s duration / kling-v1-5" "pro mode / 10s duration / kling-v1-5" "pro mode / 5s duration / kling-v1-6" "pro mode / 10s duration / kling-v1-6" "pro mode / 5s duration / kling-v2-1" "pro mode / 10s duration / kling-v2-1" "pro mode / 5s duration / kling-v2-5-turbo" "pro mode / 10s duration / kling-v2-5-turbo" | The configuration to use for the video generation following the format: mode / duration / model_name. (default: "pro mode / 5s duration / kling-v2-5-turbo") |
**Image Constraints:**
@@ -30,4 +30,4 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be
| `duration` | STRING | Duration of the generated video |
---
-**Source fingerprint (SHA-256):** `1df5820b4f41ccd5afec8e2701888d90c940f164c433c7f81397b41e8fc333c6`
+**Source fingerprint (SHA-256):** `e0bf25103e72ea3f56651adf64c0712f32c055f2b870448dcbbe82b546be8f37`
diff --git a/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md
index b9a99eec6..8fdcedc24 100644
--- a/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md
@@ -1,16 +1,16 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md)
-The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios and generation modes to produce videos of varying durations and quality.
+The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios, generation modes, and model versions to produce videos of varying durations and quality.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `prompt` | STRING | Yes | - | Positive text prompt |
-| `negative_prompt` | STRING | Yes | - | Negative text prompt |
-| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Configuration scale value (default: 1.0) |
-| `aspect_ratio` | COMBO | No | Options from KlingVideoGenAspectRatio | Video aspect ratio setting (default: "16:9") |
-| `mode` | COMBO | No | Multiple options available | The configuration to use for the video generation following the format: mode / duration / model_name. (default: modes[8]) |
+| `prompt` | STRING | Yes | Maximum 2500 characters | Positive text prompt describing the desired video content |
+| `negative_prompt` | STRING | Yes | Maximum 2500 characters | Negative text prompt describing what to avoid in the video |
+| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Configuration scale value that controls how closely the video follows the prompt (default: 1.0) |
+| `aspect_ratio` | COMBO | No | `"16:9"` `"9:16"` `"1:1"` | Video aspect ratio setting (default: "16:9") |
+| `mode` | COMBO | No | `"standard mode / 5s duration / kling-v1-6"` `"standard mode / 10s duration / kling-v1-6"` `"pro mode / 5s duration / kling-v2-master"` `"pro mode / 10s duration / kling-v2-master"` `"standard mode / 5s duration / kling-v2-master"` `"standard mode / 10s duration / kling-v2-master"` `"pro mode / 5s duration / kling-v2-1-master"` `"pro mode / 10s duration / kling-v2-1-master"` `"pro mode / 5s duration / kling-v2-5-turbo"` `"pro mode / 10s duration / kling-v2-5-turbo"` | The configuration to use for video generation, following the format: mode / duration / model_name (default: "pro mode / 5s duration / kling-v2-5-turbo") |
## Outputs
@@ -21,4 +21,4 @@ The Kling Text to Video Node converts text descriptions into video content. It t
| `duration` | STRING | Duration information for the generated video |
---
-**Source fingerprint (SHA-256):** `467f89a47890bfbfe6cebac8897fef3bce37d888d3419b248d13be89bed442f3`
+**Source fingerprint (SHA-256):** `2ec33023f023e8e6fbef04df4f6038a95b88205dbb9d170e88a964cf1ef03a27`
diff --git a/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md b/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md
index 4e58e9242..1e9234b61 100644
--- a/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md
+++ b/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md
@@ -20,4 +20,4 @@ The Kling Text to Video with Audio node generates a short video from a text desc
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `eff4549816c347a090e2f6e8ae8ba832bd2c5b7aef7c729b51c9d72b7a814d5a`
+**Source fingerprint (SHA-256):** `60c76cc66b02552cfbf63dda35e8422349c0b6989ca07631d2d8321bb5686cca`
diff --git a/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md b/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md
index f08e8dcd4..eeffa9827 100644
--- a/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md
@@ -11,7 +11,7 @@ The Kling Video Extend Node allows you to extend videos created by other Kling n
| `cfg_scale` | FLOAT | No | 0.0 - 1.0 | Controls the strength of prompt guidance (default: 0.5) |
| `video_id` | STRING | Yes | - | The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension. |
-**Note:** The `video_id` must reference a video created by other Kling nodes, and the total duration after extension cannot exceed 3 minutes.
+**Note:** The `video_id` must reference a video created by other Kling nodes, and the total duration after extension cannot exceed 3 minutes. The positive prompt must not be empty and both prompts must be under 2500 characters.
## Outputs
@@ -22,4 +22,4 @@ The Kling Video Extend Node allows you to extend videos created by other Kling n
| `duration` | STRING | The duration of the extended video |
---
-**Source fingerprint (SHA-256):** `ecef4aedffe83bf384f2f9c3d8840f3fcab4b8c21e6e9afb36e177abb6f069fd`
+**Source fingerprint (SHA-256):** `31f9d394845412d92b9e9ad7e032acea9c686fe54e32b53dac3848ab54ff9287`
diff --git a/comfyui_embedded_docs/docs/KlingVideoNode/en.md b/comfyui_embedded_docs/docs/KlingVideoNode/en.md
index 8fda208c5..d6144db12 100644
--- a/comfyui_embedded_docs/docs/KlingVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingVideoNode/en.md
@@ -35,4 +35,4 @@ This node generates videos using the Kling V3 model. It supports two primary mod
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `f7f827d657b1d057d273eba3215ce6848d3ea05c5f348e2f3fccccfdd030dfc3`
+**Source fingerprint (SHA-256):** `c329fa5a8609ccd2caec96fc23afae9ba79bdf835faa05450d4e20a7380087f5`
diff --git a/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md b/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md
index 0e9bbb173..892952b0c 100644
--- a/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md
@@ -17,4 +17,4 @@ Kling Virtual Try On Node. Input a human image and a cloth image to try on the c
| `output` | IMAGE | The resulting image showing the human with the clothing item tried on |
---
-**Source fingerprint (SHA-256):** `bfd0da440d3ad85e15ce16851313f2e75421a8a3eb5e4c651350432955afc731`
+**Source fingerprint (SHA-256):** `b642ea6583e971f47a580212030f564e24b055caf77dc99764b79ee21e2988f9`
diff --git a/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md b/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md
index ad89a6d30..a36d34a32 100644
--- a/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md
+++ b/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md
@@ -19,4 +19,4 @@ This node loads a specialized text encoder for the LTXV audio model. It combines
| `clip` | CLIP | The loaded LTXV CLIP model, ready to be used for encoding text prompts for audio generation. |
---
-**Source fingerprint (SHA-256):** `c072a0b3393aa44333bb15ae42179c50868a4e9d7ca706d6c7da5922625373e6`
+**Source fingerprint (SHA-256):** `41d4c4ffef8bd1e55a44cc19e7c1c768484118458a7d4e100e5e22f5323c59dc`
diff --git a/comfyui_embedded_docs/docs/LTXVAddGuide/en.md b/comfyui_embedded_docs/docs/LTXVAddGuide/en.md
index 57b1f2d6f..f5fb22be2 100644
--- a/comfyui_embedded_docs/docs/LTXVAddGuide/en.md
+++ b/comfyui_embedded_docs/docs/LTXVAddGuide/en.md
@@ -12,10 +12,14 @@ The LTXVAddGuide node adds video conditioning guidance to latent sequences by en
| `latent` | LATENT | Yes | - | Input latent sequence that will receive the conditioning frames |
| `image` | IMAGE | Yes | - | Image or video to condition the latent video on. Must be 8*n + 1 frames. If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames. |
| `frame_idx` | INT | No | -9999 to 9999 | Frame index to start the conditioning at. For single-frame images or videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ frames, frame_idx must be divisible by 8, otherwise it will be rounded down to the nearest multiple of 8. Negative values are counted from the end of the video. (default: 0) |
-| `strength` | FLOAT | No | 0.0 to 1.0 | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) |
+| `strength` | FLOAT | No | 0.0 to 10.0 | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) |
+| `attention_mask` | MASK | No | - | Optional pixel-space spatial mask. Controls per-region conditioning influence via self-attention, multiplied by strength. |
+| `iclora_parameters` | IC_LORA_PARAMETERS | No | - | Optional IC-LoRA parameters from a Get IC-LoRA Parameters node. Used for adjusting guide processing as required by certain IC-LoRAs (e.g., those with a reference_downscale_factor > 1). When chained, each LTXVAddGuide uses only the parameters connected to it. |
**Note:** The input image/video must have a frame count following the 8*n + 1 pattern (e.g., 1, 9, 17, 25 frames). If the input exceeds this pattern, it will be automatically cropped to the nearest valid frame count.
+**Note on `iclora_parameters`:** When using IC-LoRA parameters with a `reference_downscale_factor` greater than 1, the latent spatial dimensions (width and height) must be divisible by that factor. The node will raise an error if this condition is not met.
+
## Outputs
| Output Name | Data Type | Description |
@@ -25,4 +29,4 @@ The LTXVAddGuide node adds video conditioning guidance to latent sequences by en
| `latent` | LATENT | Latent sequence with incorporated conditioning frames and updated noise mask |
---
-**Source fingerprint (SHA-256):** `e7f4e6ed25cddd4b50b98341c63fc9915afc4956317ac7a5a9121fdc53c03a2d`
+**Source fingerprint (SHA-256):** `889348768112c6ecc3ef2e724981d3c49d96339b156617725816cf4186a94b7a`
diff --git a/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md b/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md
index f67a810bf..b8861eff4 100644
--- a/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md
+++ b/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md
@@ -18,4 +18,4 @@ The LTXV Audio VAE Decode node converts a latent representation of audio back in
| `Audio` | AUDIO | The decoded audio waveform and its associated sample rate. The waveform is a tensor moved to the same device as the input latent, and the sample rate is determined by the Audio VAE model. |
---
-**Source fingerprint (SHA-256):** `e9df1da8ca0424cfc7ce97951e65154df845d98c3b73f76725fa657d851a3a07`
+**Source fingerprint (SHA-256):** `b410b535f8cfc07b2d5a7814d719970ca813172bbbb04bec22a0ce3be04dfa94`
diff --git a/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md b/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md
index 8b713e5ce..a97c825b5 100644
--- a/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md
+++ b/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md
@@ -16,4 +16,4 @@ The LTXV Audio VAE Encode node takes an audio input and compresses it into a sma
| `Audio Latent` | LATENT | The compressed latent representation of the input audio. The output includes the latent samples, the sample rate of the VAE model, and a type identifier. |
---
-**Source fingerprint (SHA-256):** `fc10d8bbdca5150b7c87adb52960b8690397c3d003c89f9ec6a8410c541a347f`
+**Source fingerprint (SHA-256):** `0c17491e6d2910febe7dc5c1ecf988c3f160b1a08de70f8c0c4ab52defe897cd`
diff --git a/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md b/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md
index c40d53644..739050016 100644
--- a/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md
+++ b/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md
@@ -15,4 +15,4 @@ The LTXV Audio VAE Loader node loads a pre-trained Audio Variational Autoencoder
| `Audio VAE` | VAE | The loaded Audio Variational Autoencoder model, ready to be connected to other audio processing nodes. |
---
-**Source fingerprint (SHA-256):** `44e79f694eed796a83f3ac25c56946baaa12b016568bd8824eb179bf79e50588`
+**Source fingerprint (SHA-256):** `bafe0ae9a6175565e95514d8a42cd11ffc32330503d87a097bc7fd2ef113c794`
diff --git a/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md b/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md
index 360a7c7e1..6b44f3b16 100644
--- a/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md
+++ b/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md
@@ -18,4 +18,4 @@ The LTXVConcatAVLatent node combines a video latent representation and an audio
| `latent` | LATENT | A single latent dictionary containing the concatenated `samples` and, if applicable, the concatenated `noise_mask` from the video and audio inputs. |
---
-**Source fingerprint (SHA-256):** `322d6870f110fb1ef8b472cb49649cc9fff7865f4c7a83fbfd536f1fdfd694f8`
+**Source fingerprint (SHA-256):** `ae619048b36d205d63e6054760c443f438b77d561e05458ce2d9d3f4a2024e74`
diff --git a/comfyui_embedded_docs/docs/LTXVConditioning/en.md b/comfyui_embedded_docs/docs/LTXVConditioning/en.md
index 0ed1f6004..85ef10a1e 100644
--- a/comfyui_embedded_docs/docs/LTXVConditioning/en.md
+++ b/comfyui_embedded_docs/docs/LTXVConditioning/en.md
@@ -18,4 +18,4 @@ The LTXVConditioning node adds frame rate information to both positive and negat
| `negative` | CONDITIONING | The negative conditioning with frame rate information applied |
---
-**Source fingerprint (SHA-256):** `e8c18b73eb009c1b3ebcc2cb8be3dee4e065d75908607a5cf15d41f89963ee09`
+**Source fingerprint (SHA-256):** `8089df723caec60e89d309f004a8cd4bbe376e075bfa39bc881cf5a1bbe359c7`
diff --git a/comfyui_embedded_docs/docs/LTXVCropGuides/en.md b/comfyui_embedded_docs/docs/LTXVCropGuides/en.md
index efcd99735..0bf846c5c 100644
--- a/comfyui_embedded_docs/docs/LTXVCropGuides/en.md
+++ b/comfyui_embedded_docs/docs/LTXVCropGuides/en.md
@@ -19,4 +19,4 @@ The LTXVCropGuides node processes conditioning and latent inputs for video gener
| `latent` | LATENT | The cropped latent representation with adjusted samples and noise mask, where keyframe sections have been removed |
---
-**Source fingerprint (SHA-256):** `029309c260e09221cc9a046897589d99498f6e8ad984ef6052e50be9a0ea7b6d`
+**Source fingerprint (SHA-256):** `b5981a2e685c3590df2ced4b619d6d4596971255c8eb6081d63f917a9a938504`
diff --git a/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md b/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md
index 8f62076a6..01bfb1745 100644
--- a/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md
+++ b/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md
@@ -20,4 +20,4 @@ The LTXV Empty Latent Audio node creates a batch of empty (zero-filled) latent a
| `Latent` | LATENT | An empty latent audio tensor with the structure (batch_size, z_channels, num_audio_latents, audio_freq) configured to match the input Audio VAE. The output also includes a `type` field set to "audio". |
---
-**Source fingerprint (SHA-256):** `1a8bfea98f14de014069016652b39542cfd9290cae2d870ab4e381e46aa1e08f`
+**Source fingerprint (SHA-256):** `1b0ecbeb1388d952f5c5178cdc70bb06aad1640112a0851802c387594629f4bf`
diff --git a/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md b/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md
index f9c01cce7..83cba96a2 100644
--- a/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md
+++ b/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md
@@ -25,4 +25,4 @@ The LTXVImgToVideo node converts an input image into a video latent representati
| `latent` | LATENT | Video latent representation containing the encoded frames and noise mask for video generation |
---
-**Source fingerprint (SHA-256):** `fbd35623cd71bf917f39108d388986c9604138fbfb9380bdf936deff6d775cb9`
+**Source fingerprint (SHA-256):** `1f9d897d1f461270106bf44106acc90db422a04e6bce10ad3bca22127e96ffab`
diff --git a/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md b/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md
index 7c3b9640e..314f3ed6c 100644
--- a/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md
+++ b/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md
@@ -21,4 +21,4 @@ The LTXVImgToVideoInplace node conditions a video latent representation by encod
| `latent` | LATENT | The modified latent video representation. It contains the updated samples and a `noise_mask` that applies the conditioning strength to the initial frames. |
---
-**Source fingerprint (SHA-256):** `49df511591071f51e2b86f2302cfb438d18b5e1ade7ef228345f65fddf88dbcc`
+**Source fingerprint (SHA-256):** `5824199a55eb455f28399447d6834ede2cc5c33d1be09e550631bbfeef77d785`
diff --git a/comfyui_embedded_docs/docs/LTXVPreprocess/en.md b/comfyui_embedded_docs/docs/LTXVPreprocess/en.md
index fea5f1fe0..1d68c9b76 100644
--- a/comfyui_embedded_docs/docs/LTXVPreprocess/en.md
+++ b/comfyui_embedded_docs/docs/LTXVPreprocess/en.md
@@ -1,19 +1,19 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/en.md)
-The LTXVPreprocess node applies compression preprocessing to images. It takes input images and processes them with a specified compression level, outputting the processed images with the applied compression settings.
+The LTXVPreprocess node applies video compression preprocessing to images. It simulates the quality loss of video compression by encoding an image as a single-frame MP4 video and then decoding it back, allowing you to control the compression level.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | The input image to be processed |
-| `img_compression` | INT | No | 0-100 | Amount of compression to apply on image (default: 35) |
+| `img_compression` | INT | No | 0-100 | Amount of compression to apply on image. A value of 0 disables compression entirely (default: 35) |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `output_image` | IMAGE | The processed output image with applied compression |
+| `output_image` | IMAGE | The processed output image with applied compression artifacts |
---
-**Source fingerprint (SHA-256):** `2c5fbde5d011bdf3313ca05508f58a13eaae0bdff12f3659fef281c0045e480d`
+**Source fingerprint (SHA-256):** `4381837f2778948e6d8b710cf1857ce9e579b3cc630223d97266162b9799342b`
diff --git a/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md b/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md
index 5b66b50d0..ec7596446 100644
--- a/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md
+++ b/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md
@@ -24,4 +24,4 @@ The LTXV Reference Audio node is used for speaker identity transfer in audio gen
| `negative` | CONDITIONING | The negative conditioning, now containing the encoded reference audio data. |
---
-**Source fingerprint (SHA-256):** `0b87fb135ba8e752f4114cb47152503b0ec548eefcaa03f99f1cbdda6664874c`
+**Source fingerprint (SHA-256):** `a25e24a08df73b8a34fd476544634e396a0eec5b6dc630e911c371f1b16931b8`
diff --git a/comfyui_embedded_docs/docs/LTXVScheduler/en.md b/comfyui_embedded_docs/docs/LTXVScheduler/en.md
index fa1eaffa3..e9e5335cc 100644
--- a/comfyui_embedded_docs/docs/LTXVScheduler/en.md
+++ b/comfyui_embedded_docs/docs/LTXVScheduler/en.md
@@ -22,4 +22,4 @@ The LTXVScheduler node generates sigma values for custom sampling processes. It
| `sigmas` | SIGMAS | Generated sigma values for the sampling process |
---
-**Source fingerprint (SHA-256):** `3c7e8721fd75bfb0a253c38cd29e2ee1905bfe08193aa97dbaa959550aba34bc`
+**Source fingerprint (SHA-256):** `63a827c5a5e54370eab4cd259c00ccc3d2bada6e61988011cbd1e779233604bb`
diff --git a/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md b/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md
index 1e004827e..5585e23c3 100644
--- a/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md
+++ b/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md
@@ -18,4 +18,4 @@ The LTXVSeparateAVLatent node takes a combined audio-visual latent representatio
| `audio_latent` | LATENT | The latent representation containing the separated audio data. |
---
-**Source fingerprint (SHA-256):** `55bce5d768e7fe13f885cc32d34ecdac5cdcbb667b03743004866ea4b6d58d46`
+**Source fingerprint (SHA-256):** `8e871b6163af27826c197c678214bac7a02c2a5b24279385ba34632c7116356c`
diff --git a/comfyui_embedded_docs/docs/LaplaceScheduler/en.md b/comfyui_embedded_docs/docs/LaplaceScheduler/en.md
index 30a7812ab..73a9fdb40 100644
--- a/comfyui_embedded_docs/docs/LaplaceScheduler/en.md
+++ b/comfyui_embedded_docs/docs/LaplaceScheduler/en.md
@@ -19,4 +19,4 @@ The LaplaceScheduler node generates a sequence of sigma values following a Lapla
| `SIGMAS` | SIGMAS | A sequence of sigma values following a Laplace distribution schedule |
---
-**Source fingerprint (SHA-256):** `9d8cacb93d0bb1872a368821fd3cad5d6d373817a923436af9f62a7648d5d735`
+**Source fingerprint (SHA-256):** `fe8a405937a4b59ab988031b8509a9f030a57d8d1a17bb0812dc51eb5ad83717`
diff --git a/comfyui_embedded_docs/docs/LatentApplyOperation/en.md b/comfyui_embedded_docs/docs/LatentApplyOperation/en.md
index 7b4826aa8..cf8ae7450 100644
--- a/comfyui_embedded_docs/docs/LatentApplyOperation/en.md
+++ b/comfyui_embedded_docs/docs/LatentApplyOperation/en.md
@@ -16,4 +16,4 @@ The LatentApplyOperation node applies a specified operation to latent samples. I
| `output` | LATENT | The modified latent samples after applying the operation |
---
-**Source fingerprint (SHA-256):** `77147b480fe8cb48eb26a31f6f0c7bc038e07d26e628ebe361861394946d8678`
+**Source fingerprint (SHA-256):** `e91307b6426c5220b4eab574d1efd0dd5ff26886b3baf8de9f7b6d9a123920e4`
diff --git a/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md b/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md
index f32f78894..db8ebc008 100644
--- a/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md
+++ b/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md
@@ -16,4 +16,4 @@ The LatentApplyOperationCFG node applies a latent operation to modify the condit
| `model` | MODEL | The modified model with the CFG operation applied to its sampling process |
---
-**Source fingerprint (SHA-256):** `9fbcc9183abf89bb93e55263bb655e931549360c05a561f7dacae8723db62e52`
+**Source fingerprint (SHA-256):** `0dd2cdc0561938866f12e11ae44d41fc34d16453ab49e686ba751118d2233c54`
diff --git a/comfyui_embedded_docs/docs/LatentConcat/en.md b/comfyui_embedded_docs/docs/LatentConcat/en.md
index 0d58b5d01..d9ae1d79d 100644
--- a/comfyui_embedded_docs/docs/LatentConcat/en.md
+++ b/comfyui_embedded_docs/docs/LatentConcat/en.md
@@ -19,4 +19,4 @@ The LatentConcat node combines two latent samples by joining them together along
| `output` | LATENT | The concatenated latent samples resulting from combining the two input samples along the specified dimension |
---
-**Source fingerprint (SHA-256):** `46514ef85887279ec577ad88ac46f1c20f428903ee63b076888d7d5df09fde77`
+**Source fingerprint (SHA-256):** `82cc2d659cd7c3d35ad20eee6fc63a7574e7367397618c0bdf3e82924372dff7`
diff --git a/comfyui_embedded_docs/docs/LatentCut/en.md b/comfyui_embedded_docs/docs/LatentCut/en.md
index a217c7831..1d7fa6104 100644
--- a/comfyui_embedded_docs/docs/LatentCut/en.md
+++ b/comfyui_embedded_docs/docs/LatentCut/en.md
@@ -18,4 +18,4 @@ The LatentCut node extracts a specific section from latent samples along a chose
| `output` | LATENT | The extracted portion of the latent samples |
---
-**Source fingerprint (SHA-256):** `54f2b0cead9dce2c2cbd241d4e8c50ce85a67d3e1a40e7002056b83acbf0cf2d`
+**Source fingerprint (SHA-256):** `c05ce7a33d9416bdd8dabeed2c61fbc6102fc9e797d727aefaadb00f375287a9`
diff --git a/comfyui_embedded_docs/docs/LatentCutToBatch/en.md b/comfyui_embedded_docs/docs/LatentCutToBatch/en.md
index 0da4b901c..9bb61f326 100644
--- a/comfyui_embedded_docs/docs/LatentCutToBatch/en.md
+++ b/comfyui_embedded_docs/docs/LatentCutToBatch/en.md
@@ -8,7 +8,7 @@ The LatentCutToBatch node splits a latent representation along a chosen dimensio
|-----------|-----------|----------|-------|-------------|
| `samples` | LATENT | Yes | - | The latent representation to be split and batched. |
| `dim` | COMBO | Yes | `"t"` `"x"` `"y"` | The dimension along which to cut the latent samples. `"t"` refers to the temporal dimension, `"x"` to the width, and `"y"` to the height. |
-| `slice_size` | INT | Yes | 1 to 16384 | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) |
+| `slice_size` | INT | Yes | 1 to 16384 (max resolution) | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) |
## Outputs
@@ -17,4 +17,4 @@ The LatentCutToBatch node splits a latent representation along a chosen dimensio
| `samples` | LATENT | The resulting latent batch, containing the sliced and stacked samples. |
---
-**Source fingerprint (SHA-256):** `38d0ace3ef91e47e3f047aa7057c61e09b6534702526b34691b4bc239c933cd3`
+**Source fingerprint (SHA-256):** `565fd1e72a1353050cf8c32c6ab8dade475afb2e8ee13ba323d30a8467204201`
diff --git a/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md b/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md
index 76e3e47eb..bb6ca05a4 100644
--- a/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md
+++ b/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md
@@ -17,4 +17,4 @@ The LatentOperationSharpen node applies a sharpening effect to latent representa
| `operation` | LATENT_OPERATION | Returns a sharpening operation that can be applied to latent data |
---
-**Source fingerprint (SHA-256):** `542754746ab462eb27229ab9b949bb66054ab4c87c77cc59d405b35a2cc27bce`
+**Source fingerprint (SHA-256):** `98d80144a7d9ae2794ef9e6803ec7e6383dfac1b42a42fec5e17e93d6a806ca5`
diff --git a/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md b/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md
index f850d975e..1dfa8cae2 100644
--- a/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md
+++ b/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md
@@ -6,7 +6,7 @@ The LatentOperationTonemapReinhard node applies Reinhard tonemapping to latent v
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `multiplier` | FLOAT | No | 0.0 to 100.0 | Controls the intensity of the tonemapping effect (default: 1.0) |
+| `multiplier` | FLOAT | Yes | 0.0 to 100.0 | Controls the intensity of the tonemapping effect (default: 1.0) |
## Outputs
@@ -15,4 +15,4 @@ The LatentOperationTonemapReinhard node applies Reinhard tonemapping to latent v
| `operation` | LATENT_OPERATION | Returns a tonemapping operation that can be applied to latent vectors |
---
-**Source fingerprint (SHA-256):** `70c04eaef06b749392a0c65f3d1267e52484f7cf956f87173d10ad935afcf98c`
+**Source fingerprint (SHA-256):** `698c142dd4fa084b52c43a12062e8be063870704b0c0dd2de015f3a1142378b8`
diff --git a/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md b/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md
index 2ead9478b..1b40eba06 100644
--- a/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md
+++ b/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md
@@ -15,4 +15,4 @@ The LatentUpscaleModelLoader node loads a specialized model designed for upscali
| `model` | LATENT_UPSCALE_MODEL | The loaded latent upscale model, configured and ready for use. |
---
-**Source fingerprint (SHA-256):** `bd97f3ec1422aaabbd60779aa4112be44791daddc6307de53ae0e4219a90ab0e`
+**Source fingerprint (SHA-256):** `afd35f0d5dacb14a835c00bf34c016d270e85064eca7d7ff42880e67cc64a01f`
diff --git a/comfyui_embedded_docs/docs/LazyCache/en.md b/comfyui_embedded_docs/docs/LazyCache/en.md
index 624f2f958..2edbd2e08 100644
--- a/comfyui_embedded_docs/docs/LazyCache/en.md
+++ b/comfyui_embedded_docs/docs/LazyCache/en.md
@@ -19,4 +19,4 @@ LazyCache is a homebrew version of EasyCache that provides an even easier implem
| `model` | MODEL | The model with LazyCache functionality added. |
---
-**Source fingerprint (SHA-256):** `72a5e85b7cf517e88583fc1b75d3ab4a5d40fe8604d50c34f555e677d2ea9e51`
+**Source fingerprint (SHA-256):** `72ca1bbaf795e17951d1f7f9f37350dc3f1511351cc59a5043b40e069fd31340`
diff --git a/comfyui_embedded_docs/docs/Load3D/ar.md b/comfyui_embedded_docs/docs/Load3D/ar.md
index ca3e9de5c..c9c5d8dde 100644
--- a/comfyui_embedded_docs/docs/Load3D/ar.md
+++ b/comfyui_embedded_docs/docs/Load3D/ar.md
@@ -59,7 +59,7 @@
### 1. عمليات العرض
@@ -126,7 +126,7 @@
### 3. وظائف القائمة اليمنى
diff --git a/comfyui_embedded_docs/docs/Load3D/en.md b/comfyui_embedded_docs/docs/Load3D/en.md
index 7787d6821..26fa55cdc 100644
--- a/comfyui_embedded_docs/docs/Load3D/en.md
+++ b/comfyui_embedded_docs/docs/Load3D/en.md
@@ -55,7 +55,7 @@ The Load3D node's Canvas area contains numerous view operations, including:
### 1. View Operations
@@ -122,7 +122,7 @@ This menu provides the ability to quickly convert and export model formats
### 3. Right Menu Functions
diff --git a/comfyui_embedded_docs/docs/Load3D/es.md b/comfyui_embedded_docs/docs/Load3D/es.md
index 34b0e0f19..9a66135c9 100644
--- a/comfyui_embedded_docs/docs/Load3D/es.md
+++ b/comfyui_embedded_docs/docs/Load3D/es.md
@@ -59,7 +59,7 @@ El área del Lienzo del nodo Load3D contiene numerosas operaciones de vista, inc
### 1. Operaciones de Vista
@@ -126,7 +126,7 @@ Este menú proporciona la capacidad de convertir y exportar rápidamente formato
### 3. Funciones del Menú Derecho
diff --git a/comfyui_embedded_docs/docs/Load3D/fa.md b/comfyui_embedded_docs/docs/Load3D/fa.md
index 2dd6f3843..97b5c2b9b 100644
--- a/comfyui_embedded_docs/docs/Load3D/fa.md
+++ b/comfyui_embedded_docs/docs/Load3D/fa.md
@@ -57,7 +57,7 @@
### 1. عملیات نما
@@ -124,7 +124,7 @@
### 3. عملکردهای منوی راست
diff --git a/comfyui_embedded_docs/docs/Load3D/fr.md b/comfyui_embedded_docs/docs/Load3D/fr.md
index 458096463..6ff20c46f 100644
--- a/comfyui_embedded_docs/docs/Load3D/fr.md
+++ b/comfyui_embedded_docs/docs/Load3D/fr.md
@@ -59,7 +59,7 @@ La zone du canevas du nœud Load3D contient de nombreuses opérations de visuali
### 1. Opérations de visualisation
@@ -126,7 +126,7 @@ Ce menu offre la possibilité de convertir et d'exporter rapidement les formats
### 3. Fonctions du menu de droite
diff --git a/comfyui_embedded_docs/docs/Load3D/ja.md b/comfyui_embedded_docs/docs/Load3D/ja.md
index 85e72ecfb..f84d3685e 100644
--- a/comfyui_embedded_docs/docs/Load3D/ja.md
+++ b/comfyui_embedded_docs/docs/Load3D/ja.md
@@ -57,7 +57,7 @@ Load3Dノードのキャンバス領域には、多数の表示操作が含ま
### 1. 表示操作
@@ -124,7 +124,7 @@ Load3Dノードのキャンバス領域には、多数の表示操作が含ま
### 3. 右メニュー機能
diff --git a/comfyui_embedded_docs/docs/Load3D/ko.md b/comfyui_embedded_docs/docs/Load3D/ko.md
index d15a9de0b..3aa0bc91b 100644
--- a/comfyui_embedded_docs/docs/Load3D/ko.md
+++ b/comfyui_embedded_docs/docs/Load3D/ko.md
@@ -59,7 +59,7 @@ Load3D 노드의 캔버스 영역에는 다음과 같은 다양한 보기 작업
### 1. 보기 작업
@@ -126,7 +126,7 @@ Load3D 노드의 캔버스 영역에는 다음과 같은 다양한 보기 작업
### 3. 오른쪽 메뉴 기능
diff --git a/comfyui_embedded_docs/docs/Load3D/pt-BR.md b/comfyui_embedded_docs/docs/Load3D/pt-BR.md
index 8a79caea9..fdd6d2ed2 100644
--- a/comfyui_embedded_docs/docs/Load3D/pt-BR.md
+++ b/comfyui_embedded_docs/docs/Load3D/pt-BR.md
@@ -57,7 +57,7 @@ A área da Tela do nó Load3D contém inúmeras operações de visualização, i
### 1. Operações de Visualização
@@ -124,7 +124,7 @@ Este menu fornece a capacidade de converter e exportar rapidamente formatos de m
### 3. Funções do Menu Direito
diff --git a/comfyui_embedded_docs/docs/Load3D/ru.md b/comfyui_embedded_docs/docs/Load3D/ru.md
index 7441d4787..6a6854107 100644
--- a/comfyui_embedded_docs/docs/Load3D/ru.md
+++ b/comfyui_embedded_docs/docs/Load3D/ru.md
@@ -59,7 +59,7 @@
### 1. Операции просмотра
@@ -126,7 +126,7 @@
### 3. Функции правого меню
diff --git a/comfyui_embedded_docs/docs/Load3D/tr.md b/comfyui_embedded_docs/docs/Load3D/tr.md
index 5ff7a0533..27f3fefa5 100644
--- a/comfyui_embedded_docs/docs/Load3D/tr.md
+++ b/comfyui_embedded_docs/docs/Load3D/tr.md
@@ -57,7 +57,7 @@ Load3D düğümünün Tuval alanı, aşağıdakiler de dahil olmak üzere çok s
### 1. Görünüm İşlemleri
@@ -124,7 +124,7 @@ Bu menü, model formatlarını hızlı bir şekilde dönüştürme ve dışa akt
### 3. Sağ Menü İşlevleri
diff --git a/comfyui_embedded_docs/docs/Load3D/zh-TW.md b/comfyui_embedded_docs/docs/Load3D/zh-TW.md
index 222c0c56a..9bc3e1924 100644
--- a/comfyui_embedded_docs/docs/Load3D/zh-TW.md
+++ b/comfyui_embedded_docs/docs/Load3D/zh-TW.md
@@ -59,7 +59,7 @@ Load3D 節點的畫布區域包含大量的檢視操作，包括：
### 1. 檢視操作
@@ -126,7 +126,7 @@ Load3D 節點的畫布區域包含大量的檢視操作，包括：
### 3. 右側選單功能
diff --git a/comfyui_embedded_docs/docs/Load3D/zh.md b/comfyui_embedded_docs/docs/Load3D/zh.md
index 99c0d9608..9c4106c78 100644
--- a/comfyui_embedded_docs/docs/Load3D/zh.md
+++ b/comfyui_embedded_docs/docs/Load3D/zh.md
@@ -59,7 +59,7 @@ Load3D 节点的画布区域包含大量视图操作，包括：
### 1. 视图操作
@@ -126,7 +126,7 @@ Load3D 节点的画布区域包含大量视图操作，包括：
### 3. 右侧菜单功能
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/ar.md b/comfyui_embedded_docs/docs/Load3DAnimation/ar.md
index 723f81925..6e33aecb2 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/ar.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/ar.md
@@ -60,7 +60,7 @@
### 1. عمليات العرض
@@ -127,7 +127,7 @@
### 3. وظائف القائمة اليمنى
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/en.md b/comfyui_embedded_docs/docs/Load3DAnimation/en.md
index b4cfa7f4a..261424a45 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/en.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/en.md
@@ -58,7 +58,7 @@ The Load3D node's Canvas area contains numerous view operations, including:
### 1. View Operations
@@ -125,7 +125,7 @@ This menu provides the ability to quickly convert and export model formats
### 3. Right Menu Functions
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/es.md b/comfyui_embedded_docs/docs/Load3DAnimation/es.md
index 97326edce..5e06bbcf4 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/es.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/es.md
@@ -88,7 +88,7 @@ El área del Lienzo del nodo Load3D contiene numerosas operaciones de vista, inc
### 1. Operaciones de Vista
@@ -155,7 +155,7 @@ Este menú proporciona la capacidad de convertir y exportar rápidamente formato
### 3. Funciones del Menú Derecho
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/fa.md b/comfyui_embedded_docs/docs/Load3DAnimation/fa.md
index 0974216e6..24e5821b8 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/fa.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/fa.md
@@ -62,7 +62,7 @@
### 1. عملیاتهای نما
@@ -129,7 +129,7 @@
### 3. عملکردهای منوی راست
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/fr.md b/comfyui_embedded_docs/docs/Load3DAnimation/fr.md
index 61e05b1d8..85c047ae9 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/fr.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/fr.md
@@ -62,7 +62,7 @@ La zone du canevas du nœud Load3D contient de nombreuses opérations de visuali
### 1. Opérations de visualisation
@@ -129,7 +129,7 @@ Ce menu offre la possibilité de convertir et d'exporter rapidement les formats
### 3. Fonctions du menu de droite
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/ja.md b/comfyui_embedded_docs/docs/Load3DAnimation/ja.md
index 1dcaa4c4c..6d5fc99c4 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/ja.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/ja.md
@@ -64,7 +64,7 @@ Load3Dノードのキャンバス領域には、多数のビュー操作が含
### 1. ビュー操作
@@ -131,7 +131,7 @@ Load3Dノードのキャンバス領域には、多数のビュー操作が含
### 3. 右メニュー機能
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/ko.md b/comfyui_embedded_docs/docs/Load3DAnimation/ko.md
index 74bd5823b..157ed3503 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/ko.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/ko.md
@@ -62,7 +62,7 @@ Load3D 노드의 캔버스 영역에는 다음과 같은 다양한 뷰 작업이
### 1. 뷰 작업
@@ -129,7 +129,7 @@ Load3D 노드의 캔버스 영역에는 다음과 같은 다양한 뷰 작업이
### 3. 오른쪽 메뉴 기능
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/pt-BR.md b/comfyui_embedded_docs/docs/Load3DAnimation/pt-BR.md
index 91b178dd6..9b5d1b95a 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/pt-BR.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/pt-BR.md
@@ -60,7 +60,7 @@ A área da tela do nó Load3D contém inúmeras operações de visualização, i
### 1. Operações de Visualização
@@ -127,7 +127,7 @@ Este menu fornece a capacidade de converter e exportar rapidamente formatos de m
### 3. Funções do Menu Direito
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/ru.md b/comfyui_embedded_docs/docs/Load3DAnimation/ru.md
index be45f9ee7..fe15f268f 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/ru.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/ru.md
@@ -62,7 +62,7 @@
### 1. Операции просмотра
@@ -129,7 +129,7 @@
### 3. Функции правого меню
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/tr.md b/comfyui_embedded_docs/docs/Load3DAnimation/tr.md
index cc10d1aac..9f79c0d5b 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/tr.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/tr.md
@@ -62,7 +62,7 @@ Load3D düğümünün Tuval alanı, aşağıdakiler de dahil olmak üzere çok s
### 1. Görünüm İşlemleri
@@ -129,7 +129,7 @@ Bu menü, model formatlarını hızlı bir şekilde dönüştürme ve dışa akt
### 3. Sağ Menü İşlevleri
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/zh-TW.md b/comfyui_embedded_docs/docs/Load3DAnimation/zh-TW.md
index 1d3a27b39..45295e078 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/zh-TW.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/zh-TW.md
@@ -62,7 +62,7 @@ Load3D 節點的畫布區域包含大量檢視操作，包括：
### 1. 檢視操作
@@ -129,7 +129,7 @@ Load3D 節點的畫布區域包含大量檢視操作，包括：
### 3. 右側選單功能
diff --git a/comfyui_embedded_docs/docs/Load3DAnimation/zh.md b/comfyui_embedded_docs/docs/Load3DAnimation/zh.md
index 800c82bb6..2b3f7829e 100644
--- a/comfyui_embedded_docs/docs/Load3DAnimation/zh.md
+++ b/comfyui_embedded_docs/docs/Load3DAnimation/zh.md
@@ -65,7 +65,7 @@ Load3D 节点的画布区域包含大量视图操作，包括：
### 1. 视图操作
@@ -132,7 +132,7 @@ Load3D 节点的画布区域包含大量视图操作，包括：
### 3. 右侧菜单功能
diff --git a/comfyui_embedded_docs/docs/LoadAudio/en.md b/comfyui_embedded_docs/docs/LoadAudio/en.md
index 6c013ffa0..01df9e3b1 100644
--- a/comfyui_embedded_docs/docs/LoadAudio/en.md
+++ b/comfyui_embedded_docs/docs/LoadAudio/en.md
@@ -17,4 +17,4 @@ The LoadAudio node loads audio files from the input directory and converts them
| `AUDIO` | AUDIO | Audio data containing waveform and sample rate information |
---
-**Source fingerprint (SHA-256):** `a7fe63cbbb3a854359189e8685936a2b8b855e22c3c282fc77affacf640af010`
+**Source fingerprint (SHA-256):** `5631a5c50471e4612344c4bd0457e9824e9a7a8f8b75b22d06f13d5136c75258`
diff --git a/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md b/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md
index d267c15f9..09a9c1f6d 100644
--- a/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md
+++ b/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md
@@ -17,4 +17,4 @@ Loads a background removal model from a file. This node prepares the model for u
| `bg_model` | BACKGROUND_REMOVAL | The loaded background removal model, ready to be used by other nodes for processing images. |
---
-**Source fingerprint (SHA-256):** `63a1ffb37ea8581e3ba29f7dc4f871612d7ec458e6d36f5e2244201941d48f9d`
+**Source fingerprint (SHA-256):** `3f2da4d2fcafb7d65f4e5099102011c3be9500f3eec6c59c6897aa9640ae8f04`
diff --git a/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md b/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md
index 5deed7d3e..81cce9252 100644
--- a/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md
+++ b/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md
@@ -15,4 +15,4 @@ This node loads multiple images from a specified subfolder within ComfyUI's inpu
| `images` | IMAGE | List of loaded images. The node loads all valid image files (PNG, JPG, JPEG, WEBP) found in the selected folder. |
---
-**Source fingerprint (SHA-256):** `0f6e1b3d159f7d7c0c9530350ee057118a2618796f149586bae925253ecc8cf0`
+**Source fingerprint (SHA-256):** `62db052cfda66658172a881214d2a30dcfe626bec3ae619d1d32c75e327339c4`
diff --git a/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md b/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md
index b2b386bd7..748e3d095 100644
--- a/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md
+++ b/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md
@@ -6,7 +6,7 @@ This node loads a dataset of images and their corresponding text captions from a
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `folder` | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | The folder to load images from. The available options are the subdirectories within ComfyUI's input directory. |
+| `folder` | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | The folder to load images and text captions from. The available options are the subdirectories within ComfyUI's input directory. |
**Note:** The node expects a specific file structure. For each image file (`.png`, `.jpg`, `.jpeg`, `.webp`), it will look for a `.txt` file with the same name to use as a caption. If a caption file is not found, an empty string is used. The node also supports a special structure where a subfolder's name begins with a number and an underscore (e.g., `5_cats`), which will cause all images inside that subfolder to be repeated that number of times in the final output list.
@@ -18,4 +18,4 @@ This node loads a dataset of images and their corresponding text captions from a
| `texts` | STRING | A list of text captions corresponding to each loaded image. |
---
-**Source fingerprint (SHA-256):** `e176f35118f08ea397c63f5b6f347d9cdb3dc1a08db7ad7a5cc8255e1526e6ca`
+**Source fingerprint (SHA-256):** `c505d580b7bfb84ee71aca8fa98c847eeba531da9e578ddfe17818a2fd2ae5e8`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ar.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ar.md
new file mode 100644
index 000000000..95e6af062
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ar.md
@@ -0,0 +1,22 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ar.md)
+
+## نظرة عامة
+
+تقوم هذه العقدة بتحميل نموذج MediaPipe لتحديد معالم الوجه الإصدار الثاني، والذي يمكنه اكتشاف الوجوه والمعالم الوجهية (مثل العينين والأنف والفم) في الصور. يحتوي النموذج على نوعين من الكشف (قصير المدى وكامل المدى) بالإضافة إلى بيانات الشبكة المشتركة، وأشكال المزج، والهندسة الأساسية لتحليل الوجه.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|--------------|--------|--------|-------|
+| `model_name` | STRING | نعم | قائمة النماذج المتاحة في مجلد `models/detection/` | نموذج كشف الوجه من مجلد models/detection/. |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|--------------|--------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | كائن نموذج FaceLandmarker محمول يحتوي على كلا نوعي الكشف (قصير/كامل المدى)، ومجموعات الاتصال للطوبولوجيا الوجهية، والبيانات الأساسية، ومصححات النموذج لإدارة GPU. |
+
+**ملاحظة:** المخرج هو كائن معقد يمكن استخدامه بواسطة عقد أخرى لمهام كشف الوجه واستخراج المعالم. يحتوي على نوعين من الكشف: "قصير" للكشف عن المسافات القريبة و"كامل" للكشف عن كامل المدى.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md
new file mode 100644
index 000000000..656bfa4f3
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md
@@ -0,0 +1,22 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md)
+
+## Overview
+
+This node loads a MediaPipe Face Landmarker v2 model, which can detect faces and facial landmarks (like eyes, nose, and mouth) in images. It contains two detection variants (short-range and full-range) along with shared mesh data, blendshapes, and canonical geometry for facial analysis.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | Yes | List of available models in the `models/detection/` directory | Face detection model from models/detection/. |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | A loaded FaceLandmarker model object containing both detection variants (short/full), connection sets for facial topology, canonical data, and model patchers for GPU management. |
+
+**Note:** The output is a complex object that can be used by other nodes for face detection and landmark extraction tasks. It contains two detection variants: "short" for close-range detection and "full" for full-range detection.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/es.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/es.md
new file mode 100644
index 000000000..0ba8c557f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/es.md
@@ -0,0 +1,24 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/es.md)
+
+Aquí tienes la traducción al español de la documentación, siguiendo todas las reglas establecidas:
+
+## Resumen
+
+Este nodo carga un modelo MediaPipe Face Landmarker v2, que puede detectar rostros y puntos de referencia faciales (como ojos, nariz y boca) en imágenes. Contiene dos variantes de detección (rango corto y rango completo) junto con datos de malla compartidos, formas de mezcla y geometría canónica para el análisis facial.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | Sí | Lista de modelos disponibles en el directorio `models/detection/` | Modelo de detección facial de models/detection/. |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|-------------|-----------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | Un objeto modelo FaceLandmarker cargado que contiene ambas variantes de detección (corto/completo), conjuntos de conexiones para la topología facial, datos canónicos y parches de modelo para la gestión de GPU. |
+
+**Nota:** La salida es un objeto complejo que puede ser utilizado por otros nodos para tareas de detección facial y extracción de puntos de referencia. Contiene dos variantes de detección: "short" para detección de rango cercano y "full" para detección de rango completo.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fa.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fa.md
new file mode 100644
index 000000000..2256b9450
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fa.md
@@ -0,0 +1,22 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fa.md)
+
+## نمای کلی
+
+این گره یک مدل MediaPipe Face Landmarker نسخه ۲ را بارگذاری میکند که قادر به تشخیص چهره و نقاط کلیدی صورت (مانند چشمها، بینی و دهان) در تصاویر است. این گره شامل دو نوع تشخیص (برد کوتاه و برد کامل) به همراه دادههای مشترک مش، شکلهای ترکیبی و هندسه استاندارد برای تحلیل چهره است.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|----------|
+| `model_name` | STRING | بله | لیست مدلهای موجود در پوشه `models/detection/` | مدل تشخیص چهره از مسیر models/detection/ |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | یک شیء مدل FaceLandmarker بارگذاریشده شامل هر دو نوع تشخیص (برد کوتاه/کامل)، مجموعههای اتصال برای توپولوژی صورت، دادههای استاندارد و وصلههای مدل برای مدیریت GPU |
+
+**نکته:** خروجی یک شیء پیچیده است که میتواند توسط سایر گرهها برای تشخیص چهره و استخراج نقاط کلیدی استفاده شود. این خروجی شامل دو نوع تشخیص است: "برد کوتاه" برای تشخیص نزدیک و "برد کامل" برای تشخیص در فاصله دور.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fr.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fr.md
new file mode 100644
index 000000000..6f9aa7142
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fr.md
@@ -0,0 +1,24 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI :
+
+## Aperçu
+
+Ce nœud charge un modèle MediaPipe Face Landmarker v2, capable de détecter les visages et les points de repère faciaux (comme les yeux, le nez et la bouche) dans les images. Il contient deux variantes de détection (courte portée et longue portée) ainsi que des données de maillage partagées, des formes de mélange et une géométrie canonique pour l'analyse faciale.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `model_name` | STRING | Oui | Liste des modèles disponibles dans le répertoire `models/detection/` | Modèle de détection faciale provenant de models/detection/. |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | Un objet modèle FaceLandmarker chargé contenant les deux variantes de détection (courte/longue portée), les ensembles de connexions pour la topologie faciale, les données canoniques et les correcteurs de modèle pour la gestion du GPU. |
+
+**Remarque :** La sortie est un objet complexe qui peut être utilisé par d'autres nœuds pour les tâches de détection faciale et d'extraction de points de repère. Il contient deux variantes de détection : "short" pour la détection à courte portée et "full" pour la détection à longue portée.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md
new file mode 100644
index 000000000..ab59251bd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md
@@ -0,0 +1,26 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md)
+
+以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。
+
+---
+
+## 概要
+
+このノードは、MediaPipe Face Landmarker v2 モデルを読み込みます。このモデルは、画像内の顔と顔のランドマーク（目、鼻、口など）を検出できます。近距離用と全域用の2つの検出バリアントに加え、顔解析用の共有メッシュデータ、ブレンドシェイプ、および標準ジオメトリが含まれています。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | はい | `models/detection/` ディレクトリ内の利用可能なモデルのリスト | `models/detection/` からの顔検出モデル。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 読み込まれた FaceLandmarker モデルオブジェクト。近距離用と全域用の両方の検出バリアント、顔のトポロジーに関する接続セット、標準データ、および GPU 管理用のモデルパッチャーが含まれています。 |
+
+**注意:** 出力は複雑なオブジェクトであり、他のノードで顔検出やランドマーク抽出タスクに使用できます。これには、「short」（近距離検出用）と「full」（全域検出用）の2つの検出バリアントが含まれています。
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ko.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ko.md
new file mode 100644
index 000000000..2b0109f0f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ko.md
@@ -0,0 +1,22 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ko.md)
+
+# 개요
+
+이 노드는 이미지에서 얼굴과 얼굴 랜드마크(눈, 코, 입 등)를 감지할 수 있는 MediaPipe Face Landmarker v2 모델을 로드합니다. 근거리 탐지와 원거리 탐지의 두 가지 변형과 함께 얼굴 분석을 위한 공유 메시 데이터, 블렌드쉐이프, 표준 기하학 데이터를 포함합니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | 예 | `models/detection/` 디렉토리에 있는 사용 가능한 모델 목록 | `models/detection/` 경로의 얼굴 감지 모델입니다. |
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 로드된 FaceLandmarker 모델 객체로, 두 가지 탐지 변형(근거리/원거리), 얼굴 위상 연결 세트, 표준 데이터, GPU 관리를 위한 모델 패처를 포함합니다. |
+
+**참고:** 출력은 복잡한 객체로, 얼굴 감지 및 랜드마크 추출 작업을 위해 다른 노드에서 사용할 수 있습니다. 여기에는 근거리 탐지를 위한 "short" 변형과 원거리 탐지를 위한 "full" 변형의 두 가지 탐지 변형이 포함되어 있습니다.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/pt-BR.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/pt-BR.md
new file mode 100644
index 000000000..d16bdce37
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/pt-BR.md
@@ -0,0 +1,22 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/pt-BR.md)
+
+# Visão Geral
+
+Este nó carrega um modelo MediaPipe Face Landmarker v2, que pode detectar rostos e pontos faciais de referência (como olhos, nariz e boca) em imagens. Ele contém duas variantes de detecção (curto alcance e alcance total) juntamente com dados de malha compartilhados, blendshapes e geometria canônica para análise facial.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `model_name` | STRING | Sim | Lista de modelos disponíveis no diretório `models/detection/` | Modelo de detecção facial do diretório models/detection/. |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | Um objeto de modelo FaceLandmarker carregado contendo ambas as variantes de detecção (curto/alcance total), conjuntos de conexão para topologia facial, dados canônicos e patchers de modelo para gerenciamento de GPU. |
+
+**Observação:** A saída é um objeto complexo que pode ser utilizado por outros nós para tarefas de detecção facial e extração de pontos de referência. Ele contém duas variantes de detecção: "curto" para detecção de curto alcance e "total" para detecção de alcance total.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ru.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ru.md
new file mode 100644
index 000000000..f5aeb2842
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ru.md
@@ -0,0 +1,24 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ru.md)
+
+Вот перевод документации на русский язык:
+
+## Обзор
+
+Этот узел загружает модель MediaPipe Face Landmarker v2, которая может обнаруживать лица и лицевые ориентиры (такие как глаза, нос и рот) на изображениях. Модель содержит два варианта обнаружения (ближнего и полного диапазона), а также общие данные сетки, блендшейпы и каноническую геометрию для анализа лица.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `model_name` | STRING | Да | Список доступных моделей в каталоге `models/detection/` | Модель обнаружения лиц из каталога models/detection/. |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | Загруженный объект модели FaceLandmarker, содержащий оба варианта обнаружения (ближний/полный), наборы соединений для топологии лица, канонические данные и патчеры модели для управления GPU. |
+
+**Примечание:** Выходные данные представляют собой сложный объект, который может использоваться другими узлами для задач обнаружения лиц и извлечения ориентиров. Он содержит два варианта обнаружения: "short" для обнаружения на близком расстоянии и "full" для обнаружения на полном диапазоне.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/tr.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/tr.md
new file mode 100644
index 000000000..fe4c2ae96
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/tr.md
@@ -0,0 +1,24 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/tr.md)
+
+# MediaPipe Yüz İşaretçisi Yükleme Düğümü
+
+## Genel Bakış
+
+Bu düğüm, görüntülerdeki yüzleri ve yüz işaretlerini (gözler, burun ve ağız gibi) tespit edebilen bir MediaPipe Yüz İşaretçisi v2 modelini yükler. Yüz analizi için iki algılama varyantı (kısa menzil ve tam menzil) ile paylaşılan ağ verileri, şekil karıştırma verileri ve kanonik geometri içerir.
+
+## Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|--------|----------|
+| `model_name` | STRING | Evet | `models/detection/` dizinindeki mevcut modellerin listesi | `models/detection/` dizininden yüz algılama modeli. |
+
+## Çıkışlar
+
+| Çıkış Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | Her iki algılama varyantını (kısa/tam), yüz topolojisi için bağlantı kümelerini, kanonik verileri ve GPU yönetimi için model yamaçlarını içeren yüklenmiş bir FaceLandmarker model nesnesi. |
+
+**Not:** Çıkış, diğer düğümler tarafından yüz algılama ve işaret çıkarma görevleri için kullanılabilen karmaşık bir nesnedir. "short" (yakın mesafe algılama) ve "full" (tam mesafe algılama) olmak üzere iki algılama varyantı içerir.
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh-TW.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh-TW.md
new file mode 100644
index 000000000..439461666
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh-TW.md
@@ -0,0 +1,22 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh-TW.md)
+
+## 概述
+
+此節點載入 MediaPipe Face Landmarker v2 模型，可偵測影像中的人臉及臉部特徵點（如眼睛、鼻子和嘴巴）。它包含兩種偵測變體（短距離與全距離），以及共享的網格資料、混合形狀和用於臉部分析的標準幾何結構。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | 是 | `models/detection/` 目錄中可用的模型清單 | 來自 `models/detection/` 目錄的人臉偵測模型。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 一個已載入的 FaceLandmarker 模型物件，包含兩種偵測變體（短距離/全距離）、臉部拓撲連接集、標準資料以及用於 GPU 管理的模型修補器。 |
+
+**注意：** 輸出是一個複雜物件，可供其他節點用於人臉偵測和特徵點提取任務。它包含兩種偵測變體：「short」用於近距離偵測，「full」用於全距離偵測。
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh.md b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh.md
new file mode 100644
index 000000000..4835ec069
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh.md
@@ -0,0 +1,22 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh.md)
+
+## ## 概述
+
+此节点加载一个 MediaPipe 面部特征点检测器 v2 模型，该模型可检测图像中的人脸及面部特征点（如眼睛、鼻子和嘴巴）。它包含两种检测变体（短距离和全距离），以及用于面部分析的共享网格数据、混合变形和标准几何体。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | 是 | `models/detection/` 目录中可用的模型列表 | 来自 `models/detection/` 目录的人脸检测模型。 |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 一个已加载的 FaceLandmarker 模型对象，包含两种检测变体（短距离/全距离）、面部拓扑连接集、标准数据以及用于 GPU 管理的模型修补器。 |
+
+**注意：** 输出是一个复杂对象，可供其他节点用于人脸检测和特征点提取任务。它包含两种检测变体："short" 用于近距离检测，"full" 用于全距离检测。
+
+---
+**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/ar.md b/comfyui_embedded_docs/docs/LoadMoGeModel/ar.md
new file mode 100644
index 000000000..0714fe7f7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/ar.md
@@ -0,0 +1,20 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ar.md)
+
+## نظرة عامة
+
+يقوم هذا العقدة بتحميل نموذج MoGe (الهندسة أحادية العين) من ملف وإعداده للاستخدام في مهام تقدير الهندسة. تقرأ هذه العقدة ملف النموذج من مجلد `geometry_estimation` وتهيئ نموذج MoGe بأوزانه المدربة.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|---------------|--------|---------|-------|
+| `model_name` | STRING | نعم | قائمة ملفات النماذج المتاحة في مجلد `geometry_estimation` | اسم ملف نموذج MoGe المراد تحميله. اختر من بين ملفات النماذج المتاحة في تثبيت ComfyUI الخاص بك. |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|-------|
+| `MOGE_MODEL` | MOGE_MODEL | مثيل نموذج MoGe المحمّل، جاهز للاستخدام في مهام سير عمل تقدير الهندسة. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/en.md b/comfyui_embedded_docs/docs/LoadMoGeModel/en.md
new file mode 100644
index 000000000..794ac3287
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/en.md
@@ -0,0 +1,20 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md)
+
+## Overview
+
+Loads a MoGe (Monocular Geometry) model from a file and prepares it for use in geometry estimation tasks. This node reads a model file from the `geometry_estimation` folder and initializes the MoGe model with its trained weights.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | Yes | List of available model files in the `geometry_estimation` folder | The name of the MoGe model file to load. Select from the available model files in your ComfyUI installation. |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | The loaded MoGe model instance, ready for use in geometry estimation workflows. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/es.md b/comfyui_embedded_docs/docs/LoadMoGeModel/es.md
new file mode 100644
index 000000000..f1a99196b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/es.md
@@ -0,0 +1,22 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/es.md)
+
+Esta documentación fue generada por IA. Si encuentras algún error o tienes sugerencias de mejora, ¡no dudes en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md)
+
+## Resumen
+
+Carga un modelo MoGe (Geometría Monocular) desde un archivo y lo prepara para su uso en tareas de estimación geométrica. Este nodo lee un archivo de modelo de la carpeta `geometry_estimation` e inicializa el modelo MoGe con sus pesos entrenados.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `model_name` | STRING | Sí | Lista de archivos de modelo disponibles en la carpeta `geometry_estimation` | El nombre del archivo del modelo MoGe a cargar. Selecciona entre los archivos de modelo disponibles en tu instalación de ComfyUI. |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | La instancia del modelo MoGe cargada, lista para usar en flujos de trabajo de estimación geométrica. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/fa.md b/comfyui_embedded_docs/docs/LoadMoGeModel/fa.md
new file mode 100644
index 000000000..c57849350
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/fa.md
@@ -0,0 +1,20 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/fa.md)
+
+## نمای کلی
+
+یک مدل MoGe (هندسه تکچشمی) را از فایل بارگذاری کرده و برای استفاده در وظایف تخمین هندسه آماده میکند. این گره یک فایل مدل را از پوشه `geometry_estimation` خوانده و مدل MoGe را با وزنهای آموزشدیده آن مقداردهی اولیه میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|---------|----------|-------|--------|---------|
+| `model_name` | STRING | بله | فهرست فایلهای مدل موجود در پوشه `geometry_estimation` | نام فایل مدل MoGe برای بارگذاری. از میان فایلهای مدل موجود در نصب ComfyUI خود انتخاب کنید. |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `MOGE_MODEL` | MOGE_MODEL | نمونه مدل MoGe بارگذاریشده، آماده برای استفاده در گردشهای کاری تخمین هندسه. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/fr.md b/comfyui_embedded_docs/docs/LoadMoGeModel/fr.md
new file mode 100644
index 000000000..b6a91db09
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/fr.md
@@ -0,0 +1,24 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/fr.md)
+
+Voici la traduction en français de la documentation, en respectant toutes vos règles :
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md)
+
+## Aperçu
+
+Charge un modèle MoGe (géométrie monoculaire) à partir d'un fichier et le prépare pour une utilisation dans des tâches d'estimation géométrique. Ce nœud lit un fichier de modèle depuis le dossier `geometry_estimation` et initialise le modèle MoGe avec ses poids entraînés.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `model_name` | STRING | Oui | Liste des fichiers de modèle disponibles dans le dossier `geometry_estimation` | Le nom du fichier de modèle MoGe à charger. Sélectionnez parmi les fichiers de modèle disponibles dans votre installation ComfyUI. |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | L'instance du modèle MoGe chargée, prête à être utilisée dans des workflows d'estimation géométrique. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md b/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md
new file mode 100644
index 000000000..5d2da8976
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md
@@ -0,0 +1,22 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+MoGe（単眼幾何学）モデルをファイルから読み込み、幾何学推定タスクで使用できるように準備します。このノードは、`geometry_estimation` フォルダからモデルファイルを読み込み、学習済みの重みで MoGe モデルを初期化します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | はい | `geometry_estimation` フォルダ内の利用可能なモデルファイルのリスト | 読み込む MoGe モデルファイルの名前です。ComfyUI インストール内の利用可能なモデルファイルから選択します。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | 読み込まれた MoGe モデルインスタンス。幾何学推定ワークフローで使用できる状態です。 |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/ko.md b/comfyui_embedded_docs/docs/LoadMoGeModel/ko.md
new file mode 100644
index 000000000..e060df554
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/ko.md
@@ -0,0 +1,20 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ko.md)
+
+# 개요
+
+MoGe(단안 기하학) 모델을 파일에서 불러와 기하학 추정 작업에 사용할 수 있도록 준비합니다. 이 노드는 `geometry_estimation` 폴더에서 모델 파일을 읽어 훈련된 가중치로 MoGe 모델을 초기화합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | 예 | `geometry_estimation` 폴더에 있는 사용 가능한 모델 파일 목록 | 불러올 MoGe 모델 파일의 이름입니다. ComfyUI 설치 환경에서 사용 가능한 모델 파일 중에서 선택하십시오. |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | 불러온 MoGe 모델 인스턴스로, 기하학 추정 워크플로우에서 사용할 준비가 완료된 상태입니다. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/pt-BR.md b/comfyui_embedded_docs/docs/LoadMoGeModel/pt-BR.md
new file mode 100644
index 000000000..c8fb70e74
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/pt-BR.md
@@ -0,0 +1,22 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md)
+
+## Visão Geral
+
+Carrega um modelo MoGe (Geometria Monocular) a partir de um arquivo e o prepara para uso em tarefas de estimativa geométrica. Este nó lê um arquivo de modelo da pasta `geometry_estimation` e inicializa o modelo MoGe com seus pesos treinados.
+
+## Entradas
+
+| Parâmetro | Tipo de Dados | Obrigatório | Faixa | Descrição |
+|-----------|---------------|-------------|-------|-----------|
+| `model_name` | STRING | Sim | Lista de arquivos de modelo disponíveis na pasta `geometry_estimation` | O nome do arquivo do modelo MoGe a ser carregado. Selecione entre os arquivos de modelo disponíveis na sua instalação do ComfyUI. |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dados | Descrição |
+|---------------|---------------|-----------|
+| `MOGE_MODEL` | MOGE_MODEL | A instância do modelo MoGe carregada, pronta para uso em fluxos de trabalho de estimativa geométrica. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/ru.md b/comfyui_embedded_docs/docs/LoadMoGeModel/ru.md
new file mode 100644
index 000000000..5a7b95e0d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/ru.md
@@ -0,0 +1,22 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ru.md)
+
+Вот перевод документации на русский язык:
+
+## Обзор
+
+Загружает модель MoGe (Monocular Geometry — монокулярная геометрия) из файла и подготавливает её к использованию в задачах оценки геометрии. Этот узел считывает файл модели из папки `geometry_estimation` и инициализирует модель MoGe с её обученными весами.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | Да | Список доступных файлов моделей в папке `geometry_estimation` | Имя файла модели MoGe для загрузки. Выберите из доступных файлов моделей в вашей установке ComfyUI. |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | Загруженный экземпляр модели MoGe, готовый к использованию в рабочих процессах оценки геометрии. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/tr.md b/comfyui_embedded_docs/docs/LoadMoGeModel/tr.md
new file mode 100644
index 000000000..bbf445795
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/tr.md
@@ -0,0 +1,20 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/tr.md)
+
+## Genel Bakış
+
+Bir dosyadan MoGe (Monoküler Geometri) modelini yükler ve geometri tahmini görevlerinde kullanıma hazır hale getirir. Bu düğüm, `geometry_estimation` klasöründen bir model dosyasını okur ve MoGe modelini eğitilmiş ağırlıklarıyla başlatır.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | Evet | `geometry_estimation` klasöründeki mevcut model dosyalarının listesi | Yüklenecek MoGe model dosyasının adı. ComfyUI kurulumunuzdaki mevcut model dosyaları arasından seçim yapın. |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | Yüklenmiş MoGe model örneği, geometri tahmini iş akışlarında kullanıma hazırdır. |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/zh-TW.md b/comfyui_embedded_docs/docs/LoadMoGeModel/zh-TW.md
new file mode 100644
index 000000000..3c0fbc7ec
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/zh-TW.md
@@ -0,0 +1,20 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/zh-TW.md)
+
+## ## 概述
+
+從檔案載入 MoGe（單眼幾何）模型，並將其準備好用於幾何估計任務。此節點會從 `geometry_estimation` 資料夾讀取模型檔案，並以訓練好的權重初始化 MoGe 模型。
+
+## ## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | 是 | `geometry_estimation` 資料夾中可用的模型檔案列表 | 要載入的 MoGe 模型檔案名稱。從您的 ComfyUI 安裝中可用的模型檔案中選擇。 |
+
+## ## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | 已載入的 MoGe 模型實例，準備好用於幾何估計工作流程。 |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadMoGeModel/zh.md b/comfyui_embedded_docs/docs/LoadMoGeModel/zh.md
new file mode 100644
index 000000000..65b631e88
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadMoGeModel/zh.md
@@ -0,0 +1,20 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/zh.md)
+
+## ## 概述
+
+从文件加载 MoGe（单目几何）模型，并准备用于几何估计任务。此节点从 `geometry_estimation` 文件夹读取模型文件，并使用其训练权重初始化 MoGe 模型。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `model_name` | STRING | 是 | `geometry_estimation` 文件夹中可用的模型文件列表 | 要加载的 MoGe 模型文件名。从 ComfyUI 安装目录中的可用模型文件中选择。 |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `MOGE_MODEL` | MOGE_MODEL | 加载的 MoGe 模型实例，可用于几何估计工作流程。 |
+
+---
+**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1`
diff --git a/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md b/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md
index 317f3b4e9..37bbf7c14 100644
--- a/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md
+++ b/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md
@@ -16,4 +16,4 @@ This node loads an encoded training dataset that has been previously saved to di
| `conditioning` | CONDITIONING | A list of conditioning lists, where each inner list contains conditioning data for a corresponding sample. |
---
-**Source fingerprint (SHA-256):** `0a07c97e2c6a32f77cd21ea7dbdd33e06fad82285696b88122fef369307e133d`
+**Source fingerprint (SHA-256):** `1d074685317b5bd53d9fb7596126b0f579de6c67b5615717b1a16ba01fc01efd`
diff --git a/comfyui_embedded_docs/docs/LoadVideo/en.md b/comfyui_embedded_docs/docs/LoadVideo/en.md
index e16d1cdc2..2163b3bbb 100644
--- a/comfyui_embedded_docs/docs/LoadVideo/en.md
+++ b/comfyui_embedded_docs/docs/LoadVideo/en.md
@@ -17,4 +17,4 @@ The Load Video node loads video files from the input directory and makes them av
| `video` | VIDEO | The loaded video data that can be passed to other video processing nodes for further manipulation or analysis. |
---
-**Source fingerprint (SHA-256):** `e3d18eb43cba34734761b5b147d9fee91fe3ca99db21f9e19a130efc3349cecb`
+**Source fingerprint (SHA-256):** `7cdd0ed301e4545e38fb706231a18510088b76af4e843ccdfb3ae3cf8a912f49`
diff --git a/comfyui_embedded_docs/docs/LoraModelLoader/en.md b/comfyui_embedded_docs/docs/LoraModelLoader/en.md
index 880015d2d..41784a6a0 100644
--- a/comfyui_embedded_docs/docs/LoraModelLoader/en.md
+++ b/comfyui_embedded_docs/docs/LoraModelLoader/en.md
@@ -20,4 +20,4 @@ The LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a
| `model` | MODEL | The modified diffusion model with LoRA weights applied. |
---
-**Source fingerprint (SHA-256):** `82afa7dbbc990f1a9f202f920aaf8fad7fe69dc35e75ed8a95eb63c9dec74961`
+**Source fingerprint (SHA-256):** `dbb0852d4f40ded8a4490244634e13eeb367e5573b664a0f7e37213364793413`
diff --git a/comfyui_embedded_docs/docs/LoraSave/en.md b/comfyui_embedded_docs/docs/LoraSave/en.md
index 27da2d75c..fce3565c3 100644
--- a/comfyui_embedded_docs/docs/LoraSave/en.md
+++ b/comfyui_embedded_docs/docs/LoraSave/en.md
@@ -8,7 +8,7 @@ The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model
|-----------|-----------|----------|-------|-------------|
| `filename_prefix` | STRING | Yes | - | The prefix for the output filename (default: "loras/ComfyUI_extracted_lora") |
| `rank` | INT | Yes | 1-4096 | The rank value for the LoRA, controlling the size and complexity (default: 8) |
-| `lora_type` | COMBO | Yes | `"standard"` `"locon"` `"loha"` `"lokr"` `"dylora"` | The type of LoRA to create (default: "standard") |
+| `lora_type` | COMBO | Yes | `"standard"` `"full_diff"` | The type of LoRA to create. "standard" extracts low-rank matrices via SVD; "full_diff" saves the full weight difference (default: "standard") |
| `bias_diff` | BOOLEAN | Yes | - | Whether to include bias differences in the LoRA calculation (default: True) |
| `model_diff` | MODEL | No | - | The ModelSubtract output to be converted to a lora |
| `text_encoder_diff` | CLIP | No | - | The CLIPSubtract output to be converted to a lora |
@@ -22,4 +22,4 @@ The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model
| - | - | This node saves a LoRA file to the output directory but does not return any data through the workflow |
---
-**Source fingerprint (SHA-256):** `fdf020915ee233cf68250dcdcf87e7862d13ccc4fa73d8da8245727fdac46015`
+**Source fingerprint (SHA-256):** `642510bfe083130cb2724d7ae38d30d4694c85a43c7ce27230690ddd9fe76b79`
diff --git a/comfyui_embedded_docs/docs/LossGraphNode/en.md b/comfyui_embedded_docs/docs/LossGraphNode/en.md
index 8ca0ab0a3..df3b305b6 100644
--- a/comfyui_embedded_docs/docs/LossGraphNode/en.md
+++ b/comfyui_embedded_docs/docs/LossGraphNode/en.md
@@ -16,4 +16,4 @@ The LossGraphNode creates a visual graph of training loss values over time and d
| `ui.images` | IMAGE | The generated loss graph image displayed as a preview. |
---
-**Source fingerprint (SHA-256):** `9b1c844cb4babafc61102ee7bfd1039c325c6665abff1721d92a6da7d18029f9`
+**Source fingerprint (SHA-256):** `88164045339e4181cefc6ed3a2d3c35921b9cadc2977eb7406fad7e9b353f818`
diff --git a/comfyui_embedded_docs/docs/LotusConditioning/en.md b/comfyui_embedded_docs/docs/LotusConditioning/en.md
index 09e4e734f..d6514df03 100644
--- a/comfyui_embedded_docs/docs/LotusConditioning/en.md
+++ b/comfyui_embedded_docs/docs/LotusConditioning/en.md
@@ -15,4 +15,4 @@ The LotusConditioning node provides pre-computed conditioning embeddings for the
| `conditioning` | CONDITIONING | The pre-computed conditioning embeddings for the Lotus model, containing fixed prompt embeddings and an empty dictionary. |
---
-**Source fingerprint (SHA-256):** `aa428f8c355e2840dadbf634fe27d20c7c323dbe8c21255b40f4dafa12e4a0d0`
+**Source fingerprint (SHA-256):** `950e09b7fda911c7596445cf1a90ec10f451b396534f149b74e86b2da7deacc0`
diff --git a/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md b/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md
index 6c00b45a1..d513b9e57 100644
--- a/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md
@@ -7,7 +7,7 @@ The LTXV Image To Video node generates a professional-quality video from a singl
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | First frame to be used for the video. |
-| `model` | COMBO | Yes | `"LTX-2 (Fast)"` `"LTX-2 (Quality)"` | The AI model to use for video generation. The "Fast" model is optimized for speed, while the "Quality" model prioritizes visual fidelity. |
+| `model` | COMBO | Yes | `"LTX-2 (Pro)"` `"LTX-2 (Fast)"` | The AI model to use for video generation. The "Pro" model is optimized for quality, while the "Fast" model is optimized for speed. |
| `prompt` | STRING | Yes | - | A text description that guides the content and motion of the generated video. |
| `duration` | COMBO | Yes | `6` `8` `10` `12` `14` `16` `18` `20` | The length of the video in seconds (default: 8). |
| `resolution` | COMBO | Yes | `"1920x1080"` `"2560x1440"` `"3840x2160"` | The output resolution of the generated video. |
@@ -27,4 +27,4 @@ The LTXV Image To Video node generates a professional-quality video from a singl
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `af891b45997173c3210d3de4f7b6bd05b14e9d3bf8a94dcb2c1ce08038b7d99d`
+**Source fingerprint (SHA-256):** `a4c6109ba8f70b0e80cf1888f940190c7a3e3994867e37f00669ae12742a94f8`
diff --git a/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md b/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md
index 9102010c9..cb4874da3 100644
--- a/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md
+++ b/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md
@@ -6,7 +6,7 @@ The LTXV Text To Video node generates professional-quality videos from a text de
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | COMBO | Yes | `"LTX-2 (Fast)"` `"LTX-2 (Quality)"` `"LTX-2 (Turbo)"` | The AI model to use for video generation. The available models are mapped from the source code's `MODELS_MAP`. |
+| `model` | COMBO | Yes | `"LTX-2 (Pro)"` `"LTX-2 (Fast)"` | The AI model to use for video generation. "LTX-2 (Pro)" offers higher quality, while "LTX-2 (Fast)" is optimized for speed. |
| `prompt` | STRING | Yes | - | The text description that the AI will use to generate the video. This field supports multiple lines of text. |
| `duration` | COMBO | Yes | `6` `8` `10` `12` `14` `16` `18` `20` | The length of the generated video in seconds (default: 8). |
| `resolution` | COMBO | Yes | `"1920x1080"` `"2560x1440"` `"3840x2160"` | The pixel dimensions (width x height) of the output video. |
@@ -25,4 +25,4 @@ The LTXV Text To Video node generates professional-quality videos from a text de
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `a0c16995a07d879113bd3ca8fea64be414feee96bd8293a3e7737ede7d30e11d`
+**Source fingerprint (SHA-256):** `8da5616f195dc4dea7d46d56b71dead6fb7a5dfa74bb7d8909bf6bd792540feb`
diff --git a/comfyui_embedded_docs/docs/LumaConceptsNode/en.md b/comfyui_embedded_docs/docs/LumaConceptsNode/en.md
index 5f45af497..80fddc27f 100644
--- a/comfyui_embedded_docs/docs/LumaConceptsNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaConceptsNode/en.md
@@ -21,4 +21,4 @@ Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image
| `luma_concepts` | LUMA_CONCEPTS | Combined camera concept chain containing all selected concepts |
---
-**Source fingerprint (SHA-256):** `d0e334104884eadab86987f188dff079e11ee4a3de05d2537d88fa9d2a30534a`
+**Source fingerprint (SHA-256):** `37e292aee8316e165e0069b1080479fed049d5bf754de90ef830f6400ca7e5c8`
diff --git a/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md b/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md
index b07f12604..ec24f43de 100644
--- a/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md
@@ -24,4 +24,4 @@ This node edits an existing image using a text prompt, powered by the Luma UNI-1
| `image` | IMAGE | The edited image generated by the Luma UNI-1 model. |
---
-**Source fingerprint (SHA-256):** `7026e3ce818b0a9710624bd071fc2049950290f89c7d0365ff44236e9ad5eaed`
+**Source fingerprint (SHA-256):** `7d658d8e11b54dbad38d8d679553d55299313dacbdcc76d91079c5f92275d07e`
diff --git a/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md b/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md
index 033265c54..e3a4eee67 100644
--- a/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md
@@ -19,4 +19,4 @@ Modifies images synchronously based on a text prompt and the original image's as
| `image` | IMAGE | The modified image generated by the Luma model |
---
-**Source fingerprint (SHA-256):** `078542bdba19945037c95fefa30d1b403ebf58e29270c8067dcb8ff21a99b7e0`
+**Source fingerprint (SHA-256):** `9798382092f179fe55972568687285bd728981ca59f1b0a5e4e2ca4bd9b7c981`
diff --git a/comfyui_embedded_docs/docs/LumaImageNode/en.md b/comfyui_embedded_docs/docs/LumaImageNode/en.md
index 568c3bfbe..b3320d0cf 100644
--- a/comfyui_embedded_docs/docs/LumaImageNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageNode/en.md
@@ -30,4 +30,4 @@ Generates images synchronously based on a text prompt and aspect ratio. This nod
| `output` | IMAGE | The generated image based on the input parameters. |
---
-**Source fingerprint (SHA-256):** `f7878cd4df62c2f364e4e404215b18bf2f5745fb071ae2cd931d5e34b84eab46`
+**Source fingerprint (SHA-256):** `353d99868c8c09edfab212e49f127585a6cbe1a24d6ee8fe584169adcded2961`
diff --git a/comfyui_embedded_docs/docs/LumaImageNode2/en.md b/comfyui_embedded_docs/docs/LumaImageNode2/en.md
index 63491f27b..7e303cb1f 100644
--- a/comfyui_embedded_docs/docs/LumaImageNode2/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageNode2/en.md
@@ -32,4 +32,4 @@ When `"uni-1"` or `"uni-1-max"` is selected for the `model` parameter, the follo
| `image` | IMAGE | The generated image as a tensor. |
---
-**Source fingerprint (SHA-256):** `0a71bcd7c68c3610c162601b4c3f700034e47af8f16cf7853606753ad270c96e`
+**Source fingerprint (SHA-256):** `cd680f8b9e6bcf5fa415aa2d9ec3126bf8873d14bd6f4cd127491cfa242e5548`
diff --git a/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md b/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md
index 8de8b4a35..58f741834 100644
--- a/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md
@@ -7,8 +7,8 @@ Generates videos synchronously based on a text prompt and optional starting/endi
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") |
-| `model` | COMBO | Yes | Multiple options available | Selects the video generation model from available Luma models |
-| `resolution` | COMBO | Yes | `"540p"` `"720p"` `"1080p"` `"4k"` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. |
+| `model` | COMBO | Yes | `"ray-1-6"` `"ray-2"` | Selects the video generation model from available Luma models |
+| `resolution` | COMBO | Yes | `"540p"` `"720p" `"1080p"` `"4k"` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. |
| `duration` | COMBO | Yes | `"5s"` `"9s"` | Duration of the generated video. This parameter is ignored when using the `ray-1-6` model. |
| `loop` | BOOLEAN | Yes | - | Whether the generated video should loop (default: False) |
| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) |
@@ -25,4 +25,4 @@ Generates videos synchronously based on a text prompt and optional starting/endi
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `210286ad38cecc5b3b0689f470ff473e996abfd251f88a45bcac936751ae2674`
+**Source fingerprint (SHA-256):** `0ef0e33f4822b522909a9732b333710197cd6e28ed6012c791f4268f8e995a84`
diff --git a/comfyui_embedded_docs/docs/LumaReferenceNode/en.md b/comfyui_embedded_docs/docs/LumaReferenceNode/en.md
index fedbc840a..ba94134f3 100644
--- a/comfyui_embedded_docs/docs/LumaReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaReferenceNode/en.md
@@ -17,4 +17,4 @@ This node holds an image and weight value for use with the Luma Generate Image n
| `luma_ref` | LUMA_REF | The Luma reference chain containing the image and weight. |
---
-**Source fingerprint (SHA-256):** `1ad653f0ad7c56702f607ebc3c3d117196295e4e3b044a2c6f1aa3db18869a40`
+**Source fingerprint (SHA-256):** `1cca0ddc397a72c03bb7d6d24135c09795934f566b23368298a89b90a14dc8cc`
diff --git a/comfyui_embedded_docs/docs/LumaVideoNode/en.md b/comfyui_embedded_docs/docs/LumaVideoNode/en.md
index 95fabe03b..7c8faa9c8 100644
--- a/comfyui_embedded_docs/docs/LumaVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaVideoNode/en.md
@@ -24,4 +24,4 @@ Generates videos synchronously based on a text prompt and output settings. This
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `44482bc91c3df2cc9ac22d06197668af45849e8bfde8bd435905f11f2593342c`
+**Source fingerprint (SHA-256):** `3e7fb20aebee034e2055d87e7c1c24a995aece152b0271de48c81ce82cf2911a`
diff --git a/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md b/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md
index 9c7b908cd..50da593f6 100644
--- a/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md
@@ -35,4 +35,4 @@ The Magnific Image Relight node adjusts the lighting of an input image. It can a
| `image` | IMAGE | The relit image. |
---
-**Source fingerprint (SHA-256):** `c260b7c88a267a20fdea7f436404fe96ede782bc522ab29da36e94c20f7330cd`
+**Source fingerprint (SHA-256):** `52d6a2c2ab8b03397ed78222c4da936f96f816cde01e2c9cccc3d4915042330f`
diff --git a/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md b/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md
index daca994bc..1def63421 100644
--- a/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md
@@ -10,8 +10,8 @@ The Magnific Image Skin Enhancer node applies specialized AI processing to portr
| `sharpen` | INT | No | 0 to 100 | Sharpening intensity level (default: 0). |
| `smart_grain` | INT | No | 0 to 100 | Smart grain intensity level (default: 2). |
| `mode` | COMBO | Yes | `"creative"` `"faithful"` `"flexible"` | The processing mode to use. `"creative"` is for artistic enhancement, `"faithful"` for preserving the original appearance, and `"flexible"` for targeted optimization. |
-| `skin_detail` | INT | No | 0 to 100 | Skin detail enhancement level. This input is only available and required when the `mode` is set to `"faithful"` (default: 80). |
-| `optimized_for` | COMBO | No | `"enhance_skin"` `"improve_lighting"` `"enhance_everything"` `"transform_to_real"` `"no_make_up"` | Enhancement optimization target. This input is only available and required when the `mode` is set to `"flexible"`. |
+| `skin_detail` | INT | No | 0 to 100 | Skin detail enhancement level. This input is only available when the `mode` is set to `"faithful"` (default: 80). |
+| `optimized_for` | COMBO | No | `"enhance_skin"` `"improve_lighting"` `"enhance_everything"` `"transform_to_real"` `"no_make_up"` | Enhancement optimization target. This input is only available when the `mode` is set to `"flexible"`. |
**Constraints:**
@@ -28,4 +28,4 @@ The Magnific Image Skin Enhancer node applies specialized AI processing to portr
| `image` | IMAGE | The enhanced portrait image. |
---
-**Source fingerprint (SHA-256):** `e02cae2e119ddab931b790865889adf53f47a2ebb03d488477c289dfda7204f5`
+**Source fingerprint (SHA-256):** `1c87ba8a71ccac4fd17c35ad5bf2ee9b27c8bcb45a9d76cd077d6c0614f1ecc1`
diff --git a/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md b/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md
index d59966927..cd576db78 100644
--- a/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md
@@ -23,7 +23,7 @@ This node applies the visual style from a reference image to your input image. I
* Exactly one `image` and one `reference_image` are required.
* Both images must have an aspect ratio between 1:3 and 3:1.
* Both images must have a minimum height and width of 160 pixels.
-* The `portrait_style` and `portrait_beautifier` parameters are only active and required when `portrait_mode` is set to "enabled".
+* The `portrait_style` and `portrait_beautifier` parameters are only active when `portrait_mode` is set to "enabled".
## Outputs
@@ -32,4 +32,4 @@ This node applies the visual style from a reference image to your input image. I
| `image` | IMAGE | The resulting image after style transfer has been applied. |
---
-**Source fingerprint (SHA-256):** `4ae400183618953c369d089d39b878f0a24592967c29d779c577fb8b7339dea8`
+**Source fingerprint (SHA-256):** `2a008de2ad1345360c8313da90721c1118b1d7447647a0a9a4676ff71461e142`
diff --git a/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md b/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md
index 89acc6a84..1ab899ceb 100644
--- a/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md
@@ -31,4 +31,4 @@ This node uses the Magnific AI service to upscale and creatively enhance an imag
| `image` | IMAGE | The creatively enhanced and upscaled output image. |
---
-**Source fingerprint (SHA-256):** `f5f046347c2992a2589153e803de14fc23b27187864b45eb566556418ebc161c`
+**Source fingerprint (SHA-256):** `3eb5ce7887ba67a3a49d06820851df90d1c1c73f28ded62288054154bcb2d7e8`
diff --git a/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md b/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md
index 09778fc74..93c15da94 100644
--- a/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md
@@ -23,4 +23,4 @@ The Magnific Image Upscale (Precise V2) node performs high-fidelity image upscal
| `image` | IMAGE | The resulting upscaled image. |
---
-**Source fingerprint (SHA-256):** `cceff30e9702c6a24ab8102698c59f1afb20ec50e7f279b3c0d50befc9673b24`
+**Source fingerprint (SHA-256):** `83559e99f86398b894c659996bdde48633a49f857a4769127fdf7ab6e80d6b0d`
diff --git a/comfyui_embedded_docs/docs/Mahiro/en.md b/comfyui_embedded_docs/docs/Mahiro/en.md
index aa7ff8233..f30c0cc6f 100644
--- a/comfyui_embedded_docs/docs/Mahiro/en.md
+++ b/comfyui_embedded_docs/docs/Mahiro/en.md
@@ -15,4 +15,4 @@ The Mahiro node modifies the guidance function to focus more on the direction of
| `patched_model` | MODEL | The modified model with the Mahiro guidance function applied |
---
-**Source fingerprint (SHA-256):** `8b4a73cfa488f97d87e5a18d5ab30765055b5d5a66c6c2f1a5f016eed2af0300`
+**Source fingerprint (SHA-256):** `56f13cd14ffde21ab980850b62e07bdd4db6733a545f9329bf908c6030147981`
diff --git a/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md b/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md
index 22fb091aa..035e15ecd 100644
--- a/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md
+++ b/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md
@@ -23,4 +23,4 @@ This node prepares data for training by encoding images and text. It takes a lis
| `conditioning` | CONDITIONING | List of conditioning lists. |
---
-**Source fingerprint (SHA-256):** `95947c03f140f527f3db54d0b0131d956646055542ddb546ae5eaa82e4e8cefa`
+**Source fingerprint (SHA-256):** `72f1686aa9da9d50b1948040c323c7e944d4a5c1f4cd2ec5e0987d998c20ea43`
diff --git a/comfyui_embedded_docs/docs/ManualSigmas/en.md b/comfyui_embedded_docs/docs/ManualSigmas/en.md
index 747e28790..a1de81e99 100644
--- a/comfyui_embedded_docs/docs/ManualSigmas/en.md
+++ b/comfyui_embedded_docs/docs/ManualSigmas/en.md
@@ -15,4 +15,4 @@ The ManualSigmas node allows you to manually define a custom sequence of noise l
| `sigmas` | SIGMAS | The tensor containing the sequence of sigma values extracted from the input string. |
---
-**Source fingerprint (SHA-256):** `b815633dfea8f529f487f46b2d0464fa8c1045df8c4d4ef586bd36ad6f4a28db`
+**Source fingerprint (SHA-256):** `38fef43da8aa27a9b79584213c3b6cdd003bc47bcaddcf29d549b0b91880ae8d`
diff --git a/comfyui_embedded_docs/docs/MaskPreview/en.md b/comfyui_embedded_docs/docs/MaskPreview/en.md
index cc643e075..4149f6490 100644
--- a/comfyui_embedded_docs/docs/MaskPreview/en.md
+++ b/comfyui_embedded_docs/docs/MaskPreview/en.md
@@ -18,4 +18,4 @@ The MaskPreview node saves mask data as a preview image to your ComfyUI output d
| `ui` | DICT | Contains the preview image information and metadata for display in the UI |
---
-**Source fingerprint (SHA-256):** `9f64adf4a0130368618fc1ca3655192686815ab10b4153f9552ef23149928e3f`
+**Source fingerprint (SHA-256):** `c9d9dbc5720ac4c75518c758f2ec3e789b0d3c45431590fb0008573bb9159427`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ar.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ar.md
new file mode 100644
index 000000000..e2559c5cd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ar.md
@@ -0,0 +1,26 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ar.md)
+
+## نظرة عامة
+
+يكتشف الوجوه في الصورة ويحدد 468 نقطة مرجعية للوجه (نقاط رئيسية) على كل وجه باستخدام نموذجي BlazeFace وFaceMesh من MediaPipe. كما يحسب معاملات تشكيل الوجه ARKit-52 لتحليل تعابير الوجه. يمكن للعقدة معالجة صور متعددة في دفعة واحدة وتُخرج بيانات النقاط المرجعية والمربعات المحيطة لكل وجه تم اكتشافه.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|---------------|--------|---------|-------|
+| `face_detection_model` | FACE_DETECTION_MODEL | نعم | | نموذج اكتشاف الوجه من MediaPipe المستخدم لتحديد النقاط المرجعية. |
+| `الصورة` | IMAGE | نعم | | الصورة المدخلة أو مجموعة الصور لاكتشاف الوجوه فيها. |
+| `detector_variant` | COMBO | نعم | `"short"` `"full"` `"both"` | نطاق كاشف الوجه. `"short"` مُحسَّن للوجوه القريبة (ضمن ~2 متر من الكاميرا)؛ `"full"` يغطي الوجوه الأبعد/الأصغر (حتى ~5 متر) لكنه أبطأ. `"both"` يشغل كلا الكاشفين ويحتفظ بالكاشف الذي وجد وجوهًا أكثر لكل إطار (~ضعف تكلفة الكشف). القيمة الافتراضية: `"short"`. |
+| `num_faces` | INT | نعم | 0 إلى 16 | الحد الأقصى لعدد الوجوه المراد إرجاعها لكل إطار. القيمة 0 تعني عدم وجود حد (إرجاع جميع الوجوه المكتشفة). القيمة الافتراضية: 1. |
+| `min_confidence` | FLOAT | لا | 0.00 إلى 1.00 | عتبة درجة BlazeFace. القيم المنخفضة تساعد في التقاط الوجوه الصغيرة أو المحجوبة. القيمة الافتراضية: 0.5. |
+| `missing_frame_fallback` | COMBO | لا | `"empty"` `"previous"` `"interpolate"` | سلوك كل إطار عند فشل الكشف في دفعة. `"empty"` يترك الإطار بدون وجه. `"previous"` ينسخ آخر كشف ناجح. `"interpolate"` يُدرج النقاط المرجعية/المربع المحيط/أشكال التشكيل بين الإطارات الناجحة المحيطة. للوجوه المتعددة: يُزاوج الوجوه عبر الإطارات باستخدام أقرب جار لمركز المربع المحيط. القيمة الافتراضية: `"empty"`. |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|---------------|---------|
+| `bboxes` | FACE_LANDMARKS | مخرج منظم يحتوي على نتائج اكتشاف الوجه لكل إطار، بما في ذلك 468 نقطة مرجعية للوجه، ومعاملات تشكيل الوجه ARKit-52، ومصفوفات التحويل، ومجموعات الاتصال لتصور الشبكة. |
+| `bboxes` | BOUNDING_BOX | قائمة بالمربعات المحيطة لكل وجه تم اكتشافه، مع الإحداثيات (x, y, العرض, الارتفاع)، والتسمية "face"، ودرجة الثقة. قائمة واحدة لكل إطار مدخل. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md
new file mode 100644
index 000000000..4c05750d7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md
@@ -0,0 +1,26 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md)
+
+## Overview
+
+Detects faces in an image and identifies 468 facial landmarks (key points) on each face using MediaPipe's BlazeFace and FaceMesh models. It also calculates ARKit-52 blendshape coefficients for facial expression analysis. The node can process multiple images in a batch and outputs both the landmark data and bounding boxes for each detected face.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | Yes | | The MediaPipe face detection model to use for landmark detection. |
+| `image` | IMAGE | Yes | | The input image or batch of images to detect faces in. |
+| `detector_variant` | COMBO | Yes | `"short"` `"full"` `"both"` | Face detector range. `"short"` is tuned for close-up faces (within ~2 m of the camera); `"full"` covers farther/smaller faces (up to ~5 m) but is slower. `"both"` runs both detectors and keeps whichever found more faces per frame (~2x detection cost). Default: `"short"`. |
+| `num_faces` | INT | Yes | 0 to 16 | Maximum number of faces to return per frame. 0 means no cap (return all detected). Default: 1. |
+| `min_confidence` | FLOAT | No | 0.00 to 1.00 | BlazeFace score threshold. Lower values help catch small or occluded faces. Default: 0.5. |
+| `missing_frame_fallback` | COMBO | No | `"empty"` `"previous"` `"interpolate"` | Per-frame behavior when detection fails in a batch. `"empty"` leaves the frame faceless. `"previous"` copies the most recent successful detection. `"interpolate"` lerps landmarks/bbox/blendshapes between bracketing successful frames. Multi-face: pairs faces across frames by greedy bbox-centre NN. Default: `"empty"`. |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | A structured output containing per-frame face detection results, including 468 facial landmarks, ARKit-52 blendshape coefficients, transformation matrices, and connection sets for mesh visualization. |
+| `bboxes` | BOUNDING_BOX | A list of bounding boxes for each detected face, with coordinates (x, y, width, height), label "face", and confidence score. One list per input frame. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/es.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/es.md
new file mode 100644
index 000000000..30b0604df
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/es.md
@@ -0,0 +1,26 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/es.md)
+
+# Descripción general
+
+Detecta rostros en una imagen e identifica 468 puntos de referencia faciales (puntos clave) en cada rostro utilizando los modelos BlazeFace y FaceMesh de MediaPipe. También calcula coeficientes de formas híbridas ARKit-52 para el análisis de expresiones faciales. El nodo puede procesar múltiples imágenes en un lote y genera tanto los datos de los puntos de referencia como los cuadros delimitadores para cada rostro detectado.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|---------------|-------------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | Sí | | El modelo de detección facial de MediaPipe a utilizar para la detección de puntos de referencia. |
+| `image` | IMAGE | Sí | | La imagen de entrada o lote de imágenes en las que detectar rostros. |
+| `detector_variant` | COMBO | Sí | `"short"` `"full"` `"both"` | Alcance del detector facial. `"short"` está optimizado para rostros cercanos (a ~2 m de la cámara); `"full"` cubre rostros más lejanos/pequeños (hasta ~5 m) pero es más lento. `"both"` ejecuta ambos detectores y conserva el que encontró más rostros por fotograma (~2x costo de detección). Valor predeterminado: `"short"`. |
+| `num_faces` | INT | Sí | 0 a 16 | Número máximo de rostros a devolver por fotograma. 0 significa sin límite (devolver todos los detectados). Valor predeterminado: 1. |
+| `min_confidence` | FLOAT | No | 0.00 a 1.00 | Umbral de puntuación de BlazeFace. Valores más bajos ayudan a detectar rostros pequeños u ocluidos. Valor predeterminado: 0.5. |
+| `missing_frame_fallback` | COMBO | No | `"empty"` `"previous"` `"interpolate"` | Comportamiento por fotograma cuando falla la detección en un lote. `"empty"` deja el fotograma sin rostro. `"previous"` copia la detección exitosa más reciente. `"interpolate"` interpola puntos de referencia/cuadros delimitadores/formas híbridas entre fotogramas exitosos adyacentes. Multirostro: empareja rostros entre fotogramas mediante el vecino más cercano del centro del cuadro delimitador. Valor predeterminado: `"empty"`. |
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `bboxes` | FACE_LANDMARKS | Una salida estructurada que contiene los resultados de detección facial por fotograma, incluyendo 468 puntos de referencia faciales, coeficientes de formas híbridas ARKit-52, matrices de transformación y conjuntos de conexiones para visualización de mallas. |
+| `bboxes` | BOUNDING_BOX | Una lista de cuadros delimitadores para cada rostro detectado, con coordenadas (x, y, ancho, alto), etiqueta "face" y puntuación de confianza. Una lista por fotograma de entrada. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fa.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fa.md
new file mode 100644
index 000000000..bd93ab398
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fa.md
@@ -0,0 +1,26 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fa.md)
+
+## مرور کلی
+
+چهرهها را در یک تصویر تشخیص میدهد و ۴۶۸ نقطه کلیدی (نقاط نشانهگذار) صورت را روی هر چهره با استفاده از مدلهای BlazeFace و FaceMesh شرکت MediaPipe شناسایی میکند. همچنین ضرایب ترکیبشکل ARKit-52 را برای تحلیل حالات چهره محاسبه میکند. این گره میتواند چندین تصویر را در یک دسته پردازش کند و هم دادههای نقاط نشانهگذار و هم کادرهای محدودکننده را برای هر چهره تشخیصدادهشده خروجی میدهد.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | بله | | مدل تشخیص چهره MediaPipe که برای تشخیص نقاط نشانهگذار استفاده میشود. |
+| `image` | IMAGE | بله | | تصویر ورودی یا دستهای از تصاویر برای تشخیص چهره در آنها. |
+| `detector_variant` | COMBO | بله | `"short"` `"full"` `"both"` | محدوده تشخیص چهره. `"short"` برای چهرههای نزدیک (در فاصله حدود ۲ متری دوربین) تنظیم شده است؛ `"full"` چهرههای دورتر/کوچکتر (تا حدود ۵ متر) را پوشش میدهد اما کندتر است. `"both"` هر دو تشخیصدهنده را اجرا کرده و تشخیصی را نگه میدارد که تعداد چهرههای بیشتری در هر فریم یافته است (هزینه تشخیص حدود ۲ برابر). پیشفرض: `"short"`. |
+| `num_faces` | INT | بله | ۰ تا ۱۶ | حداکثر تعداد چهرههایی که در هر فریم بازگردانده میشود. مقدار ۰ به معنای بدون محدودیت (بازگرداندن همه تشخیصها) است. پیشفرض: ۱. |
+| `min_confidence` | FLOAT | خیر | ۰٫۰۰ تا ۱٫۰۰ | آستانه امتیاز BlazeFace. مقادیر پایینتر به تشخیص چهرههای کوچک یا پنهان کمک میکند. پیشفرض: ۰٫۵. |
+| `missing_frame_fallback` | COMBO | خیر | `"empty"` `"previous"` `"interpolate"` | رفتار در هر فریم زمانی که تشخیص در یک دسته شکست میخورد. `"empty"` فریم را بدون چهره رها میکند. `"previous"` آخرین تشخیص موفق را کپی میکند. `"interpolate"` نقاط نشانهگذار/کادر محدودکننده/ترکیبشکل را بین فریمهای موفق اطراف درونیابی میکند. برای چند چهره: چهرهها را در فریمها با استفاده از نزدیکترین همسایه مرکز کادر محدودکننده جفت میکند. پیشفرض: `"empty"`. |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | یک خروجی ساختاریافته شامل نتایج تشخیص چهره در هر فریم، شامل ۴۶۸ نقطه نشانهگذار صورت، ضرایب ترکیبشکل ARKit-52، ماتریسهای تبدیل و مجموعههای اتصال برای نمایش مش. |
+| `bboxes` | BOUNDING_BOX | فهرستی از کادرهای محدودکننده برای هر چهره تشخیصدادهشده، با مختصات (x، y، عرض، ارتفاع)، برچسب "face" و امتیاز اطمینان. یک فهرست برای هر فریم ورودی. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fr.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fr.md
new file mode 100644
index 000000000..2c6ca8db5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fr.md
@@ -0,0 +1,28 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI, en respectant vos règles :
+
+## Aperçu
+
+Détecte les visages dans une image et identifie 468 points de repère faciaux (points clés) sur chaque visage à l'aide des modèles BlazeFace et FaceMesh de MediaPipe. Il calcule également les coefficients de mélange de formes ARKit-52 pour l'analyse des expressions faciales. Le nœud peut traiter plusieurs images par lot et produit à la fois les données des points de repère et les boîtes englobantes pour chaque visage détecté.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | Oui | | Le modèle de détection de visage MediaPipe à utiliser pour la détection des points de repère. |
+| `image` | IMAGE | Oui | | L'image d'entrée ou le lot d'images dans lequel détecter des visages. |
+| `detector_variant` | COMBO | Oui | `"short"` `"full"` `"both"` | Portée du détecteur de visage. `"short"` est optimisé pour les visages rapprochés (à moins d'environ 2 m de la caméra) ; `"full"` couvre les visages plus éloignés/plus petits (jusqu'à environ 5 m) mais est plus lent. `"both"` exécute les deux détecteurs et conserve celui qui a trouvé le plus de visages par image (coût de détection environ 2x). Par défaut : `"short"`. |
+| `num_faces` | INT | Oui | 0 à 16 | Nombre maximum de visages à retourner par image. 0 signifie aucune limite (retourner tous les visages détectés). Par défaut : 1. |
+| `min_confidence` | FLOAT | Non | 0,00 à 1,00 | Seuil de score BlazeFace. Des valeurs plus faibles aident à détecter les petits visages ou les visages partiellement masqués. Par défaut : 0,5. |
+| `missing_frame_fallback` | COMBO | Non | `"empty"` `"previous"` `"interpolate"` | Comportement par image lorsque la détection échoue dans un lot. `"empty"` laisse l'image sans visage. `"previous"` copie la détection réussie la plus récente. `"interpolate"` interpole linéairement les points de repère/boîtes englobantes/formes de mélange entre les images réussies encadrantes. Multi-visage : apparie les visages entre les images par un algorithme glouton du plus proche voisin du centre de la boîte englobante. Par défaut : `"empty"`. |
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `bboxes` | FACE_LANDMARKS | Une sortie structurée contenant les résultats de détection de visage par image, incluant 468 points de repère faciaux, les coefficients de mélange de formes ARKit-52, les matrices de transformation et les ensembles de connexions pour la visualisation du maillage. |
+| `bboxes` | BOUNDING_BOX | Une liste de boîtes englobantes pour chaque visage détecté, avec les coordonnées (x, y, largeur, hauteur), l'étiquette "face" et le score de confiance. Une liste par image d'entrée. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md
new file mode 100644
index 000000000..edc067f14
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md
@@ -0,0 +1,28 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+画像内の顔を検出し、MediaPipeのBlazeFaceおよびFaceMeshモデルを使用して、各顔の468個の顔のランドマーク（キーポイント）を特定します。また、表情分析のためのARKit-52ブレンドシェイプ係数も計算します。このノードはバッチ内の複数の画像を処理でき、検出された各顔のランドマークデータとバウンディングボックスの両方を出力します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | はい | | ランドマーク検出に使用するMediaPipe顔検出モデルです。 |
+| `image` | IMAGE | はい | | 顔を検出する入力画像または画像のバッチです。 |
+| `detector_variant` | COMBO | はい | `"short"` `"full"` `"both"` | 顔検出器の範囲です。`"short"`は近距離の顔（カメラから約2m以内）に最適化されています。`"full"`はより遠く/小さい顔（最大約5m）をカバーしますが、処理は遅くなります。`"both"`は両方の検出器を実行し、フレームごとにより多くの顔が見つかった方を採用します（検出コストは約2倍）。デフォルト: `"short"`。 |
+| `num_faces` | INT | はい | 0 ～ 16 | フレームごとに返す顔の最大数です。0は上限なし（検出されたすべての顔を返す）を意味します。デフォルト: 1。 |
+| `min_confidence` | FLOAT | いいえ | 0.00 ～ 1.00 | BlazeFaceのスコアしきい値です。値を低くすると、小さな顔や隠れた顔を検出しやすくなります。デフォルト: 0.5。 |
+| `missing_frame_fallback` | COMBO | いいえ | `"empty"` `"previous"` `"interpolate"` | バッチ内で検出に失敗したフレームの動作です。`"empty"`はそのフレームを顔なしのままにします。`"previous"`は最後に成功した検出結果をコピーします。`"interpolate"`は前後の成功フレーム間でランドマーク/バウンディングボックス/ブレンドシェイプを線形補間します。複数顔の場合、フレーム間で顔を貪欲法によるバウンディングボックス中心の最近傍法でペアリングします。デフォルト: `"empty"`。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `bboxes` | FACE_LANDMARKS | フレームごとの顔検出結果を含む構造化出力です。468個の顔のランドマーク、ARKit-52ブレンドシェイプ係数、変換行列、メッシュ可視化用の接続セットが含まれます。 |
+| `bboxes` | BOUNDING_BOX | 検出された各顔のバウンディングボックスのリストです。座標（x, y, 幅, 高さ）、ラベル「face」、信頼度スコアが含まれます。入力フレームごとに1つのリストが出力されます。 |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ko.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ko.md
new file mode 100644
index 000000000..0f36e2c51
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ko.md
@@ -0,0 +1,26 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ko.md)
+
+## 개요
+
+이미지에서 얼굴을 감지하고 MediaPipe의 BlazeFace 및 FaceMesh 모델을 사용하여 각 얼굴의 468개 얼굴 랜드마크(주요 지점)를 식별합니다. 또한 표정 분석을 위한 ARKit-52 블렌드셰이프 계수를 계산합니다. 이 노드는 배치로 여러 이미지를 처리할 수 있으며, 감지된 각 얼굴에 대한 랜드마크 데이터와 경계 상자를 모두 출력합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | 예 | | 랜드마크 감지에 사용할 MediaPipe 얼굴 감지 모델입니다. |
+| `image` | IMAGE | 예 | | 얼굴을 감지할 입력 이미지 또는 이미지 배치입니다. |
+| `detector_variant` | COMBO | 예 | `"short"` `"full"` `"both"` | 얼굴 감지기 범위입니다. `"short"`는 근접 얼굴(카메라로부터 약 2m 이내)에 최적화되어 있습니다. `"full"`은 더 멀리 있거나 작은 얼굴(최대 약 5m)까지 감지하지만 속도가 느립니다. `"both"`는 두 감지기를 모두 실행하여 프레임당 더 많은 얼굴을 찾은 쪽을 유지합니다(감지 비용 약 2배). 기본값: `"short"`. |
+| `num_faces` | INT | 예 | 0 ~ 16 | 프레임당 반환할 최대 얼굴 수입니다. 0은 제한 없음(감지된 모든 얼굴 반환)을 의미합니다. 기본값: 1. |
+| `min_confidence` | FLOAT | 아니요 | 0.00 ~ 1.00 | BlazeFace 점수 임계값입니다. 낮은 값을 설정하면 작거나 가려진 얼굴을 감지하는 데 도움이 됩니다. 기본값: 0.5. |
+| `missing_frame_fallback` | COMBO | 아니요 | `"empty"` `"previous"` `"interpolate"` | 배치 내에서 감지가 실패한 경우 프레임별 동작입니다. `"empty"`는 해당 프레임을 얼굴 없이 둡니다. `"previous"`는 가장 최근에 성공한 감지 결과를 복사합니다. `"interpolate"`는 성공한 프레임 사이의 랜드마크/경계상자/블렌드셰이프를 선형 보간합니다. 다중 얼굴의 경우 탐욕적 경계상자 중심 최근접 이웃 방식으로 프레임 간 얼굴을 짝짓습니다. 기본값: `"empty"`. |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `bboxes` | FACE_LANDMARKS | 프레임별 얼굴 감지 결과를 포함하는 구조화된 출력으로, 468개 얼굴 랜드마크, ARKit-52 블렌드셰이프 계수, 변환 행렬 및 메시 시각화를 위한 연결 집합을 포함합니다. |
+| `bboxes` | BOUNDING_BOX | 감지된 각 얼굴의 경계 상자 목록으로, 좌표(x, y, 너비, 높이), 레이블 "face" 및 신뢰도 점수를 포함합니다. 입력 프레임당 하나의 목록입니다. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/pt-BR.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/pt-BR.md
new file mode 100644
index 000000000..b5677484a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/pt-BR.md
@@ -0,0 +1,26 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/pt-BR.md)
+
+# Visão Geral
+
+Detecta rostos em uma imagem e identifica 468 pontos de referência faciais (pontos-chave) em cada rosto usando os modelos BlazeFace e FaceMesh do MediaPipe. Também calcula os coeficientes de blendshape ARKit-52 para análise de expressões faciais. O nó pode processar múltiplas imagens em lote e gera tanto os dados dos pontos de referência quanto as caixas delimitadoras para cada rosto detectado.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `face_detection_model` | FACE_DETECTION_MODEL | Sim | | O modelo de detecção facial do MediaPipe a ser usado para detecção de pontos de referência. |
+| `image` | IMAGE | Sim | | A imagem de entrada ou lote de imagens para detectar rostos. |
+| `detector_variant` | COMBO | Sim | `"short"` `"full"` `"both"` | Alcance do detector facial. `"short"` é ajustado para rostos próximos (até ~2 m da câmera); `"full"` cobre rostos mais distantes/menores (até ~5 m) mas é mais lento. `"both"` executa ambos os detectores e mantém aquele que encontrou mais rostos por quadro (~2x custo de detecção). Padrão: `"short"`. |
+| `num_faces` | INT | Sim | 0 a 16 | Número máximo de rostos a retornar por quadro. 0 significa sem limite (retorna todos os detectados). Padrão: 1. |
+| `min_confidence` | FLOAT | Não | 0,00 a 1,00 | Limiar de pontuação do BlazeFace. Valores mais baixos ajudam a capturar rostos pequenos ou ocluídos. Padrão: 0,5. |
+| `missing_frame_fallback` | COMBO | Não | `"empty"` `"previous"` `"interpolate"` | Comportamento por quadro quando a detecção falha em um lote. `"empty"` deixa o quadro sem rosto. `"previous"` copia a detecção bem-sucedida mais recente. `"interpolate"` interpola pontos de referência/caixa delimitadora/blendshapes entre quadros bem-sucedidos adjacentes. Múltiplos rostos: pareia rostos entre quadros por NN guloso do centro da caixa delimitadora. Padrão: `"empty"`. |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `face_landmarks` | FACE_LANDMARKS | Uma saída estruturada contendo resultados de detecção facial por quadro, incluindo 468 pontos de referência faciais, coeficientes de blendshape ARKit-52, matrizes de transformação e conjuntos de conexões para visualização de malha. |
+| `bboxes` | BOUNDING_BOX | Uma lista de caixas delimitadoras para cada rosto detectado, com coordenadas (x, y, largura, altura), rótulo "face" e pontuação de confiança. Uma lista por quadro de entrada. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ru.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ru.md
new file mode 100644
index 000000000..e9efeb7ec
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ru.md
@@ -0,0 +1,26 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ru.md)
+
+## Обзор
+
+Обнаруживает лица на изображении и определяет 468 ключевых точек (ландмарков) на каждом лице с помощью моделей BlazeFace и FaceMesh от MediaPipe. Также вычисляет коэффициенты блендшейпов ARKit-52 для анализа мимики. Узел может обрабатывать несколько изображений в пакетном режиме и выводит как данные о ландмарках, так и ограничивающие рамки для каждого обнаруженного лица.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `face_detection_model` | FACE_DETECTION_MODEL | Да | | Модель обнаружения лиц MediaPipe, используемая для определения ландмарков. |
+| `image` | IMAGE | Да | | Входное изображение или пакет изображений для обнаружения лиц. |
+| `detector_variant` | COMBO | Да | `"short"` `"full"` `"both"` | Дальность детектора лиц. `"short"` оптимизирован для крупных планов (в пределах ~2 м от камеры); `"full"` охватывает более удаленные/мелкие лица (до ~5 м), но медленнее. `"both"` запускает оба детектора и оставляет тот, который нашел больше лиц на кадр (примерно двукратная стоимость обнаружения). По умолчанию: `"short"`. |
+| `num_faces` | INT | Да | от 0 до 16 | Максимальное количество лиц, возвращаемых на кадр. 0 означает без ограничений (возвращать все обнаруженные). По умолчанию: 1. |
+| `min_confidence` | FLOAT | Нет | от 0.00 до 1.00 | Порог оценки BlazeFace. Более низкие значения помогают обнаруживать маленькие или частично скрытые лица. По умолчанию: 0.5. |
+| `missing_frame_fallback` | COMBO | Нет | `"empty"` `"previous"` `"interpolate"` | Поведение для каждого кадра при сбое обнаружения в пакете. `"empty"` оставляет кадр без лица. `"previous"` копирует последнее успешное обнаружение. `"interpolate"` интерполирует ландмарки/ограничивающие рамки/блендшейпы между соседними успешными кадрами. Для нескольких лиц: сопоставляет лица между кадрами с помощью жадного алгоритма по центрам ограничивающих рамок. По умолчанию: `"empty"`. |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `face_landmarks` | FACE_LANDMARKS | Структурированный вывод, содержащий результаты обнаружения лиц для каждого кадра, включая 468 лицевых ландмарков, коэффициенты блендшейпов ARKit-52, матрицы преобразования и наборы соединений для визуализации сетки. |
+| `bboxes` | BOUNDING_BOX | Список ограничивающих рамок для каждого обнаруженного лица с координатами (x, y, ширина, высота), меткой "face" и оценкой уверенности. Один список на входной кадр. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/tr.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/tr.md
new file mode 100644
index 000000000..f570acc1f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/tr.md
@@ -0,0 +1,28 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/tr.md)
+
+# MediaPipe Yüz İşaret Noktası Bulucu
+
+## Genel Bakış
+
+Bir görüntüdeki yüzleri algılar ve MediaPipe'in BlazeFace ile FaceMesh modellerini kullanarak her yüzde 468 yüz işaret noktasını (anahtar noktalar) tanımlar. Ayrıca yüz ifadesi analizi için ARKit-52 karışım şekli katsayılarını hesaplar. Düğüm, toplu halde birden fazla görüntüyü işleyebilir ve algılanan her yüz için hem işaret noktası verilerini hem de sınırlayıcı kutuları çıktı olarak verir.
+
+## Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | Evet | | İşaret noktası algılama için kullanılacak MediaPipe yüz algılama modeli. |
+| `image` | IMAGE | Evet | | Yüz algılanacak giriş görüntüsü veya görüntü topluluğu. |
+| `detector_variant` | COMBO | Evet | `"short"` `"full"` `"both"` | Yüz algılayıcı menzili. `"short"`, yakın çekim yüzler için ayarlanmıştır (kameradan ~2 m içinde); `"full"`, daha uzak/küçük yüzleri kapsar (~5 m'ye kadar) ancak daha yavaştır. `"both"`, her iki algılayıcıyı da çalıştırır ve kare başına daha fazla yüz bulanı korur (~2x algılama maliyeti). Varsayılan: `"short"`. |
+| `num_faces` | INT | Evet | 0 ile 16 | Kare başına döndürülecek maksimum yüz sayısı. 0, sınır yok anlamına gelir (algılanan tüm yüzleri döndürür). Varsayılan: 1. |
+| `min_confidence` | FLOAT | Hayır | 0,00 ile 1,00 | BlazeFace puan eşiği. Daha düşük değerler, küçük veya kısmen görünen yüzleri yakalamaya yardımcı olur. Varsayılan: 0,5. |
+| `missing_frame_fallback` | COMBO | Hayır | `"empty"` `"previous"` `"interpolate"` | Bir toplulukta algılama başarısız olduğunda kare başına davranış. `"empty"`, kareyi yüzsüz bırakır. `"previous"`, en son başarılı algılamayı kopyalar. `"interpolate"`, başarılı kareler arasında işaret noktaları/sınırlayıcı kutular/karışım şekilleri arasında doğrusal enterpolasyon yapar. Çoklu yüz: yüzleri kareler arasında açgözlü sınırlayıcı kutu merkezi NN ile eşleştirir. Varsayılan: `"empty"`. |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|-------------|
+| `bboxes` | FACE_LANDMARKS | Kare başına yüz algılama sonuçlarını içeren yapılandırılmış bir çıktı. 468 yüz işaret noktası, ARKit-52 karışım şekli katsayıları, dönüşüm matrisleri ve ağ görselleştirme için bağlantı kümelerini içerir. |
+| `bboxes` | BOUNDING_BOX | Algılanan her yüz için sınırlayıcı kutuların listesi; koordinatlar (x, y, genişlik, yükseklik), "yüz" etiketi ve güven puanı ile birlikte. Giriş karesi başına bir liste. |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh-TW.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh-TW.md
new file mode 100644
index 000000000..0b5ef1f3b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh-TW.md
@@ -0,0 +1,26 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh-TW.md)
+
+## 概述
+
+使用 MediaPipe 的 BlazeFace 和 FaceMesh 模型偵測影像中的人臉，並識別每張臉上的 468 個面部特徵點（關鍵點）。同時計算 ARKit-52 混合變形係數以進行臉部表情分析。此節點可批次處理多張影像，並為每個偵測到的人臉輸出特徵點資料和邊界框。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | 是 | | 用於特徵點偵測的 MediaPipe 人臉偵測模型。 |
+| `image` | IMAGE | 是 | | 要偵測人臉的輸入影像或影像批次。 |
+| `detector_variant` | COMBO | 是 | `"short"` `"full"` `"both"` | 人臉偵測器範圍。`"short"` 針對近距離人臉（距離相機約 2 公尺內）進行最佳化；`"full"` 涵蓋較遠/較小的人臉（距離約 5 公尺內），但速度較慢。`"both"` 同時執行兩種偵測器，並保留每幀中偵測到較多人臉的結果（偵測成本約為兩倍）。預設值：`"short"`。 |
+| `num_faces` | INT | 是 | 0 至 16 | 每幀返回的最大人臉數量。0 表示無上限（返回所有偵測到的人臉）。預設值：1。 |
+| `min_confidence` | FLOAT | 否 | 0.00 至 1.00 | BlazeFace 分數閾值。較低的值有助於捕捉較小或被遮擋的人臉。預設值：0.5。 |
+| `missing_frame_fallback` | COMBO | 否 | `"empty"` `"previous"` `"interpolate"` | 批次中偵測失敗時的每幀處理行為。`"empty"` 使該幀無人臉資料。`"previous"` 複製最近一次成功的偵測結果。`"interpolate"` 在成功偵測的幀之間對特徵點/邊界框/混合變形進行線性插值。多人臉：透過貪婪邊界框中心最近鄰演算法跨幀配對人臉。預設值：`"empty"`。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `bboxes` | FACE_LANDMARKS | 結構化輸出，包含每幀的人臉偵測結果，包括 468 個面部特徵點、ARKit-52 混合變形係數、轉換矩陣以及用於網格視覺化的連線集合。 |
+| `bboxes` | BOUNDING_BOX | 每個偵測到的人臉的邊界框列表，包含座標 (x, y, width, height)、標籤 "face" 和信心分數。每個輸入幀對應一個列表。 |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh.md b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh.md
new file mode 100644
index 000000000..c5e6bf41b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh.md
@@ -0,0 +1,26 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh.md)
+
+## 概述
+
+使用 MediaPipe 的 BlazeFace 和 FaceMesh 模型检测图像中的人脸，并识别每张人脸上的 468 个面部特征点（关键点）。该节点还计算用于面部表情分析的 ARKit-52 混合变形系数。节点可批量处理多张图像，并输出每张检测到的人脸的特征点数据和边界框。
+
+## 输入
+
+| 参数 | 数据类型 | 必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `face_detection_model` | FACE_DETECTION_MODEL | 是 | | 用于特征点检测的 MediaPipe 人脸检测模型。 |
+| `image` | IMAGE | 是 | | 用于检测人脸的输入图像或图像批次。 |
+| `detector_variant` | COMBO | 是 | `"short"` `"full"` `"both"` | 人脸检测器范围。`"short"` 针对近距离人脸（距相机约 2 米以内）进行了优化；`"full"` 覆盖更远/更小的人脸（最远约 5 米），但速度较慢。`"both"` 同时运行两种检测器，并保留每帧检测到人脸数量更多的结果（检测成本约增加一倍）。默认值：`"short"`。 |
+| `num_faces` | INT | 是 | 0 到 16 | 每帧返回的最大人脸数量。0 表示无上限（返回所有检测到的人脸）。默认值：1。 |
+| `min_confidence` | FLOAT | 否 | 0.00 到 1.00 | BlazeFace 评分阈值。较低的值有助于捕捉较小或被遮挡的人脸。默认值：0.5。 |
+| `missing_frame_fallback` | COMBO | 否 | `"empty"` `"previous"` `"interpolate"` | 批次中检测失败时的逐帧处理行为。`"empty"` 使该帧无人脸数据。`"previous"` 复制最近一次成功的检测结果。`"interpolate"` 在相邻成功帧之间对特征点/边界框/混合变形进行线性插值。多人脸：通过贪心边界框中心最近邻算法跨帧配对。默认值：`"empty"`。 |
+
+## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `bboxes` | FACE_LANDMARKS | 包含每帧人脸检测结果的结构化输出，包括 468 个面部特征点、ARKit-52 混合变形系数、变换矩阵以及用于网格可视化的连接集。 |
+| `bboxes` | BOUNDING_BOX | 每张检测到的人脸的边界框列表，包含坐标 (x, y, width, height)、标签 "face" 和置信度分数。每个输入帧对应一个列表。 |
+
+---
+**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/ar.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ar.md
new file mode 100644
index 000000000..90f68d3f2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ar.md
@@ -0,0 +1,34 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ar.md)
+
+بصفتي خبيرًا في الترجمة التقنية المتخصصة في توثيق عُقد ComfyUI، إليك ترجمة الوثيقة المطلوبة إلى العربية مع الالتزام التام بقواعد الترجمة المحددة:
+
+## نظرة عامة
+
+تقوم هذه العقدة بإنشاء قناع ثنائي (صورة أبيض وأسود) استنادًا إلى معالم الوجه التي يتم اكتشافها بواسطة MediaPipe. تقوم برسم أشكال مضلعة مملوءة لكل منطقة وجه تم اكتشافها، مما ينتج قناعًا واحدًا لكل إطار في الدفعة. عند اكتشاف وجوه متعددة في نفس الإطار، يتم دمج أقنعتها في قناع واحد.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|--------------|--------|---------|-------|
+| `face_landmarks` | FACE_LANDMARKS | نعم | - | بيانات معالم الوجه من عقدة اكتشاف الوجه MediaPipe. |
+| `regions` | COMBO | نعم | `"all"` `"custom"` | يختار مناطق الوجه التي سيتم تضمينها في القناع. `"all"` ينشئ قناعًا من اتحاد جميع مناطق الوجه (الوجه البيضاوي، الشفتين، العينين، القزحيتين). `"custom"` يسمح لك بتبديل كل منطقة على حدة. الافتراضي: `"all"` |
+
+عند تعيين `regions` إلى `"custom"`، تصبح المعاملات المنطقية الإضافية التالية متاحة:
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|--------------|--------|---------|-------|
+| `face_oval` | BOOLEAN | لا | True/False | تضمين منطقة الوجه البيضاوية في القناع. الافتراضي: True |
+| `lips` | BOOLEAN | لا | True/False | تضمين منطقة الشفتين في القناع. الافتراضي: True |
+| `eyes` | BOOLEAN | لا | True/False | تضمين منطقة العينين في القناع. الافتراضي: True |
+| `irises` | BOOLEAN | لا | True/False | تضمين منطقة القزحيتين في القناع. الافتراضي: True |
+
+**ملاحظة:** عند استخدام وضع `"all"`، يتضمن القناع جميع المناطق مجتمعة. نظرًا لأن الوجه البيضاوي يحيط بالمناطق الأخرى، فإن اختيار `"all"` ينتج فعليًا نفس نتيجة اختيار الوجه البيضاوي فقط.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|------------|--------------|---------|
+| `MASK` | MASK | موتر قناع ثنائي حيث تكون مناطق الوجه بيضاء (القيمة 1.0) والخلفية سوداء (القيمة 0.0). للقناع نفس أبعاد الصورة المدخلة ويحتوي على قناع واحد لكل إطار في الدفعة. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md
new file mode 100644
index 000000000..23537a3f9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md
@@ -0,0 +1,32 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md)
+
+## Overview
+
+This node creates a binary mask (a black and white image) based on face landmarks detected by MediaPipe. It draws filled polygon shapes for each detected face region, producing one mask per frame in a batch. When multiple faces are detected in the same frame, their masks are combined into a single mask.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Yes | - | The face landmarks data from a MediaPipe face detection node. |
+| `regions` | COMBO | Yes | `"all"` `"custom"` | Selects which facial regions to include in the mask. `"all"` creates a mask from the union of all face regions (face oval, lips, eyes, irises). `"custom"` allows you to toggle each region individually. Default: `"all"` |
+
+When `regions` is set to `"custom"`, the following additional boolean parameters become available:
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `face_oval` | BOOLEAN | No | True/False | Include the face oval region in the mask. Default: True |
+| `lips` | BOOLEAN | No | True/False | Include the lips region in the mask. Default: True |
+| `eyes` | BOOLEAN | No | True/False | Include the eyes region in the mask. Default: True |
+| `irises` | BOOLEAN | No | True/False | Include the irises region in the mask. Default: True |
+
+**Note:** When using `"all"` mode, the mask includes all regions combined. Since the face oval encloses the other regions, selecting `"all"` effectively produces the same result as selecting only the face oval.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `MASK` | MASK | A binary mask tensor where face regions are white (value 1.0) and background is black (value 0.0). The mask has the same dimensions as the input image and contains one mask per frame in the batch. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/es.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/es.md
new file mode 100644
index 000000000..4e111ebfd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/es.md
@@ -0,0 +1,34 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/es.md)
+
+Esta documentación fue generada por IA. Si encuentras algún error o tienes sugerencias de mejora, ¡no dudes en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md)
+
+## Resumen
+
+Este nodo crea una máscara binaria (una imagen en blanco y negro) basada en los puntos de referencia faciales detectados por MediaPipe. Dibuja formas de polígonos rellenos para cada región facial detectada, generando una máscara por fotograma en un lote. Cuando se detectan múltiples rostros en el mismo fotograma, sus máscaras se combinan en una sola máscara.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Sí | - | Los datos de puntos de referencia faciales provenientes de un nodo de detección facial de MediaPipe. |
+| `regions` | COMBO | Sí | `"all"` `"custom"` | Selecciona qué regiones faciales incluir en la máscara. `"all"` crea una máscara a partir de la unión de todas las regiones faciales (óvalo facial, labios, ojos, iris). `"custom"` permite activar o desactivar cada región individualmente. Valor predeterminado: `"all"` |
+
+Cuando `regions` se establece en `"custom"`, los siguientes parámetros booleanos adicionales están disponibles:
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `face_oval` | BOOLEAN | No | Verdadero/Falso | Incluir la región del óvalo facial en la máscara. Valor predeterminado: Verdadero |
+| `lips` | BOOLEAN | No | Verdadero/Falso | Incluir la región de los labios en la máscara. Valor predeterminado: Verdadero |
+| `eyes` | BOOLEAN | No | Verdadero/Falso | Incluir la región de los ojos en la máscara. Valor predeterminado: Verdadero |
+| `irises` | BOOLEAN | No | Verdadero/Falso | Incluir la región de los iris en la máscara. Valor predeterminado: Verdadero |
+
+**Nota:** Al usar el modo `"all"`, la máscara incluye todas las regiones combinadas. Dado que el óvalo facial envuelve las demás regiones, seleccionar `"all"` produce efectivamente el mismo resultado que seleccionar solo el óvalo facial.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `MASK` | MASK | Un tensor de máscara binaria donde las regiones faciales son blancas (valor 1.0) y el fondo es negro (valor 0.0). La máscara tiene las mismas dimensiones que la imagen de entrada y contiene una máscara por fotograma en el lote. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/fa.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/fa.md
new file mode 100644
index 000000000..bbe310d3c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/fa.md
@@ -0,0 +1,32 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/fa.md)
+
+## نمای کلی
+
+این گره یک ماسک باینری (تصویر سیاه و سفید) بر اساس نقاط کلیدی صورت شناساییشده توسط MediaPipe ایجاد میکند. اشکال چندضلعی توپر را برای هر ناحیه صورت شناساییشده رسم کرده و به ازای هر فریم در یک بچ، یک ماسک تولید میکند. هنگامی که چندین صورت در یک فریم شناسایی شوند، ماسکهای آنها در یک ماسک واحد ترکیب میشوند.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|---------|----------|-------|--------|---------|
+| `face_landmarks` | FACE_LANDMARKS | بله | - | دادههای نقاط کلیدی صورت از یک گره تشخیص صورت MediaPipe. |
+| `regions` | COMBO | بله | `"all"` `"custom"` | نواحی صورت را که در ماسک گنجانده میشوند انتخاب میکند. `"all"` ماسکی از اجتماع تمام نواحی صورت (بیضی صورت، لبها، چشمها، عنبیهها) ایجاد میکند. `"custom"` به شما امکان میدهد هر ناحیه را بهصورت جداگانه فعال/غیرفعال کنید. پیشفرض: `"all"` |
+
+هنگامی که `regions` روی `"custom"` تنظیم شود، پارامترهای بولی اضافی زیر در دسترس قرار میگیرند:
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|---------|----------|-------|--------|---------|
+| `face_oval` | BOOLEAN | خیر | True/False | ناحیه بیضی صورت را در ماسک شامل شود. پیشفرض: True |
+| `lips` | BOOLEAN | خیر | True/False | ناحیه لبها را در ماسک شامل شود. پیشفرض: True |
+| `eyes` | BOOLEAN | خیر | True/False | ناحیه چشمها را در ماسک شامل شود. پیشفرض: True |
+| `irises` | BOOLEAN | خیر | True/False | ناحیه عنبیهها را در ماسک شامل شود. پیشفرض: True |
+
+**نکته:** هنگام استفاده از حالت `"all"`، ماسک شامل تمام نواحی ترکیبشده است. از آنجایی که بیضی صورت سایر نواحی را در بر میگیرد، انتخاب `"all"` عملاً همان نتیجه انتخاب تنها بیضی صورت را تولید میکند.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `MASK` | MASK | یک تنسور ماسک باینری که در آن نواحی صورت سفید (مقدار 1.0) و پسزمینه سیاه (مقدار 0.0) است. ماسک ابعادی مشابه تصویر ورودی دارد و به ازای هر فریم در بچ، یک ماسک شامل میشود. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/fr.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/fr.md
new file mode 100644
index 000000000..d1caa6367
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/fr.md
@@ -0,0 +1,34 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/fr.md)
+
+Voici la traduction en français de la documentation du nœud MediaPipeFaceMask :
+
+## Aperçu
+
+Ce nœud crée un masque binaire (une image en noir et blanc) basé sur les points de repère faciaux détectés par MediaPipe. Il dessine des formes polygonales remplies pour chaque région faciale détectée, produisant un masque par image dans un lot. Lorsque plusieurs visages sont détectés dans la même image, leurs masques sont combinés en un seul masque.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Oui | - | Les données de points de repère faciaux provenant d'un nœud de détection faciale MediaPipe. |
+| `regions` | COMBO | Oui | `"all"` `"custom"` | Sélectionne les régions faciales à inclure dans le masque. `"all"` crée un masque à partir de l'union de toutes les régions faciales (ovale du visage, lèvres, yeux, iris). `"custom"` permet d'activer ou désactiver chaque région individuellement. Par défaut : `"all"` |
+
+Lorsque `regions` est défini sur `"custom"`, les paramètres booléens supplémentaires suivants deviennent disponibles :
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `face_oval` | BOOLEAN | Non | Vrai/Faux | Inclure la région de l'ovale du visage dans le masque. Par défaut : Vrai |
+| `lips` | BOOLEAN | Non | Vrai/Faux | Inclure la région des lèvres dans le masque. Par défaut : Vrai |
+| `eyes` | BOOLEAN | Non | Vrai/Faux | Inclure la région des yeux dans le masque. Par défaut : Vrai |
+| `irises` | BOOLEAN | Non | Vrai/Faux | Inclure la région des iris dans le masque. Par défaut : Vrai |
+
+**Remarque :** En mode `"all"`, le masque inclut toutes les régions combinées. Étant donné que l'ovale du visage englobe les autres régions, sélectionner `"all"` produit effectivement le même résultat que de sélectionner uniquement l'ovale du visage.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `MASK` | MASK | Un tenseur de masque binaire où les régions faciales sont blanches (valeur 1.0) et l'arrière-plan est noir (valeur 0.0). Le masque a les mêmes dimensions que l'image d'entrée et contient un masque par image dans le lot. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md
new file mode 100644
index 000000000..84d227846
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md
@@ -0,0 +1,34 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+このノードは、MediaPipe によって検出された顔のランドマークに基づいて、バイナリマスク（白黒画像）を作成します。検出された各顔領域に対して塗りつぶされたポリゴン形状を描画し、バッチ内のフレームごとに1つのマスクを生成します。同じフレーム内で複数の顔が検出された場合、それらのマスクは1つのマスクに結合されます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | はい | - | MediaPipe 顔検出ノードからの顔ランドマークデータ。 |
+| `regions` | COMBO | はい | `"all"` `"custom"` | マスクに含める顔領域を選択します。`"all"` はすべての顔領域（顔の楕円、唇、目、虹彩）の和集合からマスクを作成します。`"custom"` では各領域を個別にオン/オフできます。デフォルト: `"all"` |
+
+`regions` が `"custom"` に設定されている場合、以下の追加のブールパラメータが使用可能になります。
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_oval` | BOOLEAN | いいえ | True/False | マスクに顔の楕円領域を含めます。デフォルト: True |
+| `lips` | BOOLEAN | いいえ | True/False | マスクに唇領域を含めます。デフォルト: True |
+| `eyes` | BOOLEAN | いいえ | True/False | マスクに目領域を含めます。デフォルト: True |
+| `irises` | BOOLEAN | いいえ | True/False | マスクに虹彩領域を含めます。デフォルト: True |
+
+**注:** `"all"` モードを使用する場合、マスクにはすべての領域が結合されて含まれます。顔の楕円は他の領域を内包するため、`"all"` を選択すると、実質的に顔の楕円のみを選択した場合と同じ結果が得られます。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `MASK` | MASK | 顔領域が白（値 1.0）、背景が黒（値 0.0）のバイナリマスクテンソル。マスクは入力画像と同じ寸法を持ち、バッチ内のフレームごとに1つのマスクが含まれます。 |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/ko.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ko.md
new file mode 100644
index 000000000..2b3dc42ef
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ko.md
@@ -0,0 +1,32 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ko.md)
+
+## 개요
+
+이 노드는 MediaPipe가 감지한 얼굴 랜드마크를 기반으로 이진 마스크(흑백 이미지)를 생성합니다. 감지된 각 얼굴 영역에 대해 채워진 다각형 모양을 그리며, 배치 내 각 프레임당 하나의 마스크를 생성합니다. 동일한 프레임에서 여러 얼굴이 감지되면 해당 마스크들이 하나의 마스크로 결합됩니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | 예 | - | MediaPipe 얼굴 감지 노드의 얼굴 랜드마크 데이터입니다. |
+| `regions` | COMBO | 예 | `"all"` `"custom"` | 마스크에 포함할 얼굴 영역을 선택합니다. `"all"`은 모든 얼굴 영역(얼굴 타원형, 입술, 눈, 홍채)의 합집합으로 마스크를 생성합니다. `"custom"`은 각 영역을 개별적으로 설정할 수 있습니다. 기본값: `"all"` |
+
+`regions`를 `"custom"`으로 설정하면 다음 추가 부울 매개변수를 사용할 수 있습니다:
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `face_oval` | BOOLEAN | 아니요 | True/False | 마스크에 얼굴 타원형 영역을 포함합니다. 기본값: True |
+| `lips` | BOOLEAN | 아니요 | True/False | 마스크에 입술 영역을 포함합니다. 기본값: True |
+| `eyes` | BOOLEAN | 아니요 | True/False | 마스크에 눈 영역을 포함합니다. 기본값: True |
+| `irises` | BOOLEAN | 아니요 | True/False | 마스크에 홍채 영역을 포함합니다. 기본값: True |
+
+**참고:** `"all"` 모드를 사용하면 마스크에 모든 영역이 결합되어 포함됩니다. 얼굴 타원형이 다른 영역을 감싸고 있으므로 `"all"`을 선택하면 사실상 얼굴 타원형만 선택한 것과 동일한 결과가 생성됩니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `MASK` | MASK | 얼굴 영역은 흰색(값 1.0)이고 배경은 검은색(값 0.0)인 이진 마스크 텐서입니다. 마스크는 입력 이미지와 동일한 크기를 가지며 배치 내 각 프레임당 하나의 마스크를 포함합니다. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/pt-BR.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/pt-BR.md
new file mode 100644
index 000000000..a3db7c2ab
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/pt-BR.md
@@ -0,0 +1,34 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md)
+
+## Visão Geral
+
+Este nó cria uma máscara binária (uma imagem em preto e branco) com base nos pontos faciais detectados pelo MediaPipe. Ele desenha formas poligonais preenchidas para cada região facial detectada, produzindo uma máscara por quadro em um lote. Quando múltiplos rostos são detectados no mesmo quadro, suas máscaras são combinadas em uma única máscara.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `face_landmarks` | FACE_LANDMARKS | Sim | - | Os dados de pontos faciais de um nó de detecção facial MediaPipe. |
+| `regions` | COMBO | Sim | `"all"` `"custom"` | Seleciona quais regiões faciais incluir na máscara. `"all"` cria uma máscara a partir da união de todas as regiões faciais (contorno facial, lábios, olhos, íris). `"custom"` permite ativar ou desativar cada região individualmente. Padrão: `"all"` |
+
+Quando `regions` está definido como `"custom"`, os seguintes parâmetros booleanos adicionais ficam disponíveis:
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `face_oval` | BOOLEAN | Não | Verdadeiro/Falso | Incluir a região do contorno facial na máscara. Padrão: Verdadeiro |
+| `lips` | BOOLEAN | Não | Verdadeiro/Falso | Incluir a região dos lábios na máscara. Padrão: Verdadeiro |
+| `eyes` | BOOLEAN | Não | Verdadeiro/Falso | Incluir a região dos olhos na máscara. Padrão: Verdadeiro |
+| `irises` | BOOLEAN | Não | Verdadeiro/Falso | Incluir a região das íris na máscara. Padrão: Verdadeiro |
+
+**Nota:** Ao usar o modo `"all"`, a máscara inclui todas as regiões combinadas. Como o contorno facial envolve as outras regiões, selecionar `"all"` produz efetivamente o mesmo resultado que selecionar apenas o contorno facial.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `MASK` | MASK | Um tensor de máscara binária onde as regiões faciais são brancas (valor 1.0) e o fundo é preto (valor 0.0). A máscara tem as mesmas dimensões da imagem de entrada e contém uma máscara por quadro no lote. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/ru.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ru.md
new file mode 100644
index 000000000..bc1f47a1c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/ru.md
@@ -0,0 +1,32 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ru.md)
+
+## Обзор
+
+Этот узел создает бинарную маску (черно-белое изображение) на основе ключевых точек лица, обнаруженных с помощью MediaPipe. Он рисует залитые многоугольники для каждой обнаруженной области лица, создавая одну маску на кадр в пакете. Если в одном кадре обнаружено несколько лиц, их маски объединяются в одну.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Да | - | Данные ключевых точек лица из узла обнаружения лиц MediaPipe. |
+| `regions` | COMBO | Да | `"all"` `"custom"` | Выбирает, какие области лица включать в маску. `"all"` создает маску из объединения всех областей лица (овал лица, губы, глаза, радужки). `"custom"` позволяет переключать каждую область индивидуально. По умолчанию: `"all"` |
+
+Когда параметр `regions` установлен в `"custom"`, становятся доступны следующие дополнительные логические параметры:
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `face_oval` | BOOLEAN | Нет | True/False | Включить область овала лица в маску. По умолчанию: True |
+| `lips` | BOOLEAN | Нет | True/False | Включить область губ в маску. По умолчанию: True |
+| `eyes` | BOOLEAN | Нет | True/False | Включить область глаз в маску. По умолчанию: True |
+| `irises` | BOOLEAN | Нет | True/False | Включить область радужек в маску. По умолчанию: True |
+
+**Примечание:** При использовании режима `"all"` маска включает все области вместе. Поскольку овал лица охватывает остальные области, выбор `"all"` фактически дает тот же результат, что и выбор только овала лица.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `MASK` | MASK | Тензор бинарной маски, где области лица белые (значение 1.0), а фон черный (значение 0.0). Маска имеет те же размеры, что и входное изображение, и содержит одну маску на кадр в пакете. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/tr.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/tr.md
new file mode 100644
index 000000000..9d403cefd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/tr.md
@@ -0,0 +1,32 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, MediaPipe tarafından algılanan yüz işaret noktalarına dayalı olarak ikili bir maske (siyah beyaz bir görüntü) oluşturur. Algılanan her yüz bölgesi için dolu çokgen şekiller çizer ve bir yığındaki her kare için bir maske üretir. Aynı karede birden fazla yüz algılandığında, maskeleri tek bir maskede birleştirilir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|--------|----------|
+| `face_landmarks` | FACE_LANDMARKS | Evet | - | Bir MediaPipe yüz algılama düğümünden gelen yüz işaret noktası verileri. |
+| `regions` | COMBO | Evet | `"all"` `"custom"` | Maskeye hangi yüz bölgelerinin dahil edileceğini seçer. `"all"`, tüm yüz bölgelerinin (yüz ovali, dudaklar, gözler, irisler) birleşiminden bir maske oluşturur. `"custom"`, her bölgeyi ayrı ayrı açıp kapatmanıza olanak tanır. Varsayılan: `"all"` |
+
+`regions` parametresi `"custom"` olarak ayarlandığında, aşağıdaki ek boolean parametreler kullanılabilir hale gelir:
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|--------|----------|
+| `face_oval` | BOOLEAN | Hayır | True/False | Yüz ovali bölgesini maskeye dahil eder. Varsayılan: True |
+| `lips` | BOOLEAN | Hayır | True/False | Dudak bölgesini maskeye dahil eder. Varsayılan: True |
+| `eyes` | BOOLEAN | Hayır | True/False | Göz bölgesini maskeye dahil eder. Varsayılan: True |
+| `irises` | BOOLEAN | Hayır | True/False | İris bölgesini maskeye dahil eder. Varsayılan: True |
+
+**Not:** `"all"` modu kullanıldığında, maske tüm bölgelerin birleşimini içerir. Yüz ovali diğer bölgeleri çevrelediğinden, `"all"` seçeneği etkili bir şekilde yalnızca yüz ovalinin seçilmesiyle aynı sonucu verir.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `MASK` | MASK | Yüz bölgelerinin beyaz (değer 1.0) ve arka planın siyah (değer 0.0) olduğu ikili bir maske tensörü. Maske, giriş görüntüsüyle aynı boyutlara sahiptir ve yığındaki her kare için bir maske içerir. |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh-TW.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh-TW.md
new file mode 100644
index 000000000..7622b6144
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh-TW.md
@@ -0,0 +1,32 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh-TW.md)
+
+## 概述
+
+此節點根據 MediaPipe 偵測到的臉部特徵點，建立一個二進位遮罩（黑白影像）。它會為每個偵測到的臉部區域繪製填充的多邊形形狀，並在批次中為每個影格產生一個遮罩。當同一個影格中偵測到多張臉部時，它們的遮罩會合併為單一遮罩。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | 是 | - | 來自 MediaPipe 臉部偵測節點的臉部特徵點資料。 |
+| `regions` | COMBO | 是 | `"all"` `"custom"` | 選擇要納入遮罩的臉部區域。`"all"` 會從所有臉部區域（臉部橢圓、嘴唇、眼睛、虹膜）的聯集建立遮罩。`"custom"` 則允許您個別切換每個區域。預設值：`"all"` |
+
+當 `regions` 設定為 `"custom"` 時，以下額外的布林參數將變為可用：
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_oval` | BOOLEAN | 否 | True/False | 將臉部橢圓區域納入遮罩。預設值：True |
+| `lips` | BOOLEAN | 否 | True/False | 將嘴唇區域納入遮罩。預設值：True |
+| `eyes` | BOOLEAN | 否 | True/False | 將眼睛區域納入遮罩。預設值：True |
+| `irises` | BOOLEAN | 否 | True/False | 將虹膜區域納入遮罩。預設值：True |
+
+**注意：** 使用 `"all"` 模式時，遮罩會包含所有區域的組合。由於臉部橢圓區域已涵蓋其他區域，選擇 `"all"` 實際上會產生與僅選擇臉部橢圓區域相同的結果。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `MASK` | MASK | 一個二進位遮罩張量，其中臉部區域為白色（值 1.0），背景為黑色（值 0.0）。此遮罩具有與輸入影像相同的尺寸，並在批次中包含每個影格一個遮罩。 |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh.md b/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh.md
new file mode 100644
index 000000000..1c0e61d04
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh.md
@@ -0,0 +1,32 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh.md)
+
+## ## 概述
+
+此节点基于 MediaPipe 检测到的面部特征点创建二值掩码（黑白图像）。它会为每个检测到的面部区域绘制填充多边形，在批次中为每一帧生成一个掩码。当同一帧中检测到多张人脸时，这些掩码会被合并为单个掩码。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | 是 | - | 来自 MediaPipe 面部检测节点的面部特征点数据。 |
+| `regions` | COMBO | 是 | `"all"` `"custom"` | 选择要包含在掩码中的面部区域。`"all"` 会从所有面部区域（面部轮廓、嘴唇、眼睛、虹膜）的并集创建掩码。`"custom"` 允许您单独切换每个区域。默认值：`"all"` |
+
+当 `regions` 设置为 `"custom"` 时，以下额外的布尔参数将变为可用：
+
+| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `face_oval` | BOOLEAN | 否 | True/False | 在掩码中包含面部轮廓区域。默认值：True |
+| `lips` | BOOLEAN | 否 | True/False | 在掩码中包含嘴唇区域。默认值：True |
+| `eyes` | BOOLEAN | 否 | True/False | 在掩码中包含眼睛区域。默认值：True |
+| `irises` | BOOLEAN | 否 | True/False | 在掩码中包含虹膜区域。默认值：True |
+
+**注意：** 使用 `"all"` 模式时，掩码包含所有区域的组合。由于面部轮廓区域包含其他区域，选择 `"all"` 实际上会产生与仅选择面部轮廓相同的结果。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `MASK` | MASK | 一个二值掩码张量，其中面部区域为白色（值 1.0），背景为黑色（值 0.0）。该掩码具有与输入图像相同的尺寸，并且批次中每一帧对应一个掩码。 |
+
+---
+**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ar.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ar.md
new file mode 100644
index 000000000..e966af75c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ar.md
@@ -0,0 +1,27 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ar.md)
+
+نظرة عامة
+
+يرسم نقاط معالم الوجه وخطوط الاتصال (شبكة الوجه) فوق الصورة المدخلة. تستخدم هذه العقدة بيانات المعالم التي تنتجها عقدة كشف الوجه لتصور السمات الوجهية المكتشفة، مثل العينين والأنف والفم ومحيط الوجه.
+
+المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | نعم | | بيانات معالم الوجه من عقدة الكشف. |
+| `الصورة` | IMAGE | لا | | الصورة التي سيتم رسم الشبكة عليها. إذا لم يتم توصيلها، سيتم استخدام لوحة سوداء بنفس حجم نتيجة الكشف. |
+| `connections` | COMBO | نعم | `"all"` `"fill"` `"custom"` | يحدد أي أجزاء من شبكة الوجه سيتم رسمها. `"all"` يرسم الشبكة الكاملة (البيضاوي، العيون، الحواجب، الشفاه، القزحيات، الأنف). `"fill"` يرسم مضلعًا صلبًا لبيضاوي الوجه (قناع الصورة الظلية). `"custom"` يتيح لك تشغيل أو إيقاف كل ميزة على حدة. (الافتراضي: `"all"`) |
+| `color` | COLOR | نعم | | لون خطوط الشبكة والنقاط. (الافتراضي: `#00ff00`) |
+| `thickness` | INT | نعم | 0 إلى 8 | سُمك خطوط الشبكة بالبكسل. يؤدي تعيين هذا إلى 0 إلى تعطيل رسم الخطوط. (الافتراضي: 1) |
+| `point_size` | INT | نعم | 0 إلى 16 | نصف قطر نقاط المعالم بالبكسل. يؤدي تعيين هذا إلى 0 إلى تعطيل رسم النقاط. (الافتراضي: 2) |
+
+**ملاحظة حول معامل `connections`:** عند تحديد `"custom"`، تظهر مدخلات منطقية إضافية لكل ميزة وجهية (مثل `face_oval`، `lips`، `left_eye`، `right_eye`، `left_eyebrow`، `right_eyebrow`، `left_iris`، `right_iris`، `nose`، `tesselation`). سيتم رسم الميزات التي تقوم بتمكينها فقط.
+
+المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | الصورة المدخلة مع رسم شبكة معالم الوجه عليها. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md
new file mode 100644
index 000000000..7b7b86c8c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md
@@ -0,0 +1,27 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md)
+
+## Overview
+
+Draws face landmark points and connection lines (a face mesh) on top of an input image. This node uses the landmark data produced by a face detection node to visualize the detected facial features, such as the eyes, nose, mouth, and face outline.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Yes | | The face landmark data from a detection node. |
+| `image` | IMAGE | No | | The image to draw the mesh on. If not connected, a black canvas of the same size as the detection result will be used. |
+| `connections` | COMBO | Yes | `"all"` `"fill"` `"custom"` | Determines which parts of the face mesh to draw. `"all"` draws the full mesh (oval, eyes, brows, lips, irises, nose). `"fill"` draws a solid polygon of the face oval (silhouette mask). `"custom"` lets you toggle each feature individually. (default: `"all"`) |
+| `color` | COLOR | Yes | | The color of the mesh lines and points. (default: `#00ff00`) |
+| `thickness` | INT | Yes | 0 to 8 | The thickness of the mesh lines in pixels. Setting this to 0 disables line drawing. (default: 1) |
+| `point_size` | INT | Yes | 0 to 16 | The radius of the landmark dots in pixels. Setting this to 0 disables dot drawing. (default: 2) |
+
+**Note on `connections` parameter:** When `"custom"` is selected, additional boolean inputs appear for each facial feature (e.g., `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Only the features you enable will be drawn.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | The input image with the face landmarks mesh drawn on it. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/es.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/es.md
new file mode 100644
index 000000000..1b4dd85fd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/es.md
@@ -0,0 +1,27 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/es.md)
+
+## Descripción general
+
+Dibuja puntos de referencia faciales y líneas de conexión (una malla facial) sobre una imagen de entrada. Este nodo utiliza los datos de referencia producidos por un nodo de detección facial para visualizar las características faciales detectadas, como los ojos, la nariz, la boca y el contorno del rostro.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Sí | | Los datos de referencia facial de un nodo de detección. |
+| `image` | IMAGE | No | | La imagen sobre la que se dibujará la malla. Si no está conectada, se utilizará un lienzo negro del mismo tamaño que el resultado de la detección. |
+| `connections` | COMBO | Sí | `"all"` `"fill"` `"custom"` | Determina qué partes de la malla facial se dibujan. `"all"` dibuja la malla completa (óvalo, ojos, cejas, labios, iris, nariz). `"fill"` dibuja un polígono sólido del óvalo facial (máscara de silueta). `"custom"` permite activar o desactivar cada característica individualmente. (predeterminado: `"all"`) |
+| `color` | COLOR | Sí | | El color de las líneas y puntos de la malla. (predeterminado: `#00ff00`) |
+| `thickness` | INT | Sí | 0 a 8 | El grosor de las líneas de la malla en píxeles. Establecer esto en 0 desactiva el dibujo de líneas. (predeterminado: 1) |
+| `point_size` | INT | Sí | 0 a 16 | El radio de los puntos de referencia en píxeles. Establecer esto en 0 desactiva el dibujo de puntos. (predeterminado: 2) |
+
+**Nota sobre el parámetro `connections`:** Cuando se selecciona `"custom"`, aparecen entradas booleanas adicionales para cada característica facial (por ejemplo, `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Solo se dibujarán las características que habilites.
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `IMAGE` | IMAGE | La imagen de entrada con la malla de puntos de referencia faciales dibujada sobre ella. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fa.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fa.md
new file mode 100644
index 000000000..6cff14936
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fa.md
@@ -0,0 +1,27 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fa.md)
+
+## نمای کلی
+
+نقاط نشانگر صورت و خطوط اتصال (مِش صورت) را بر روی تصویر ورودی رسم میکند. این گره از دادههای نشانگر تولیدشده توسط گره تشخیص چهره برای نمایش ویژگیهای شناساییشده صورت مانند چشمها، بینی، دهان و خطوط کلی صورت استفاده میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | بله | | دادههای نشانگر صورت از یک گره تشخیص چهره. |
+| `image` | IMAGE | خیر | | تصویری که مِش روی آن رسم میشود. اگر متصل نباشد، از یک بوم سیاه با همان اندازه نتیجه تشخیص استفاده میشود. |
+| `connections` | COMBO | بله | `"all"` `"fill"` `"custom"` | مشخص میکند کدام بخشهای مِش صورت رسم شوند. `"all"` مِش کامل (بیضی صورت، چشمها، ابروها، لبها، عنبیهها، بینی) را رسم میکند. `"fill"` یک چندضلعی توپر از بیضی صورت (ماسک سیلوئت) رسم میکند. `"custom"` به شما امکان میدهد هر ویژگی را جداگانه فعال/غیرفعال کنید. (پیشفرض: `"all"`) |
+| `color` | COLOR | بله | | رنگ خطوط و نقاط مِش. (پیشفرض: `#00ff00`) |
+| `thickness` | INT | بله | 0 تا 8 | ضخامت خطوط مِش بر حسب پیکسل. تنظیم این مقدار روی 0 رسم خطوط را غیرفعال میکند. (پیشفرض: 1) |
+| `point_size` | INT | بله | 0 تا 16 | شعاع نقاط نشانگر بر حسب پیکسل. تنظیم این مقدار روی 0 رسم نقاط را غیرفعال میکند. (پیشفرض: 2) |
+
+**نکته درباره پارامتر `connections`:** هنگامی که گزینه `"custom"` انتخاب میشود، ورودیهای بولی اضافی برای هر ویژگی صورت ظاهر میشوند (مانند `face_oval`، `lips`، `left_eye`، `right_eye`، `left_eyebrow`، `right_eyebrow`، `left_iris`، `right_iris`، `nose`، `tesselation`). تنها ویژگیهایی که فعال کنید رسم خواهند شد.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | تصویر ورودی با مِش نشانگرهای صورت رسمشده روی آن. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fr.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fr.md
new file mode 100644
index 000000000..00bc5479f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fr.md
@@ -0,0 +1,29 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/fr.md)
+
+Voici la traduction en français de la documentation du nœud MediaPipeFaceMeshVisualize :
+
+## Aperçu
+
+Dessine les points de repère du visage et les lignes de connexion (un maillage facial) sur une image d'entrée. Ce nœud utilise les données de repères produites par un nœud de détection faciale pour visualiser les caractéristiques faciales détectées, telles que les yeux, le nez, la bouche et le contour du visage.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Oui | | Les données de repères faciaux provenant d'un nœud de détection. |
+| `image` | IMAGE | Non | | L'image sur laquelle dessiner le maillage. Si non connectée, un canevas noir de la même taille que le résultat de la détection sera utilisé. |
+| `connections` | COMBO | Oui | `"all"` `"fill"` `"custom"` | Détermine les parties du maillage facial à dessiner. `"all"` dessine le maillage complet (ovale, yeux, sourcils, lèvres, iris, nez). `"fill"` dessine un polygone plein de l'ovale du visage (masque de silhouette). `"custom"` vous permet d'activer ou désactiver chaque caractéristique individuellement. (par défaut : `"all"`) |
+| `color` | COLOR | Oui | | La couleur des lignes et des points du maillage. (par défaut : `#00ff00`) |
+| `thickness` | INT | Oui | 0 à 8 | L'épaisseur des lignes du maillage en pixels. Mettre cette valeur à 0 désactive le dessin des lignes. (par défaut : 1) |
+| `point_size` | INT | Oui | 0 à 16 | Le rayon des points de repère en pixels. Mettre cette valeur à 0 désactive le dessin des points. (par défaut : 2) |
+
+**Remarque sur le paramètre `connections` :** Lorsque `"custom"` est sélectionné, des entrées booléennes supplémentaires apparaissent pour chaque caractéristique faciale (par exemple, `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Seules les caractéristiques que vous activez seront dessinées.
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `IMAGE` | IMAGE | L'image d'entrée avec le maillage des repères faciaux dessiné dessus. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md
new file mode 100644
index 000000000..7185a5341
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md
@@ -0,0 +1,29 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+入力画像上に顔のランドマークポイントと接続線（フェイスメッシュ）を描画します。このノードは、顔検出ノードによって生成されたランドマークデータを使用して、目、鼻、口、顔の輪郭などの検出された顔の特徴を可視化します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | はい | | 検出ノードからの顔ランドマークデータです。 |
+| `image` | IMAGE | いいえ | | メッシュを描画する画像です。接続されていない場合は、検出結果と同じサイズの黒いキャンバスが使用されます。 |
+| `connections` | COMBO | はい | `"all"` `"fill"` `"custom"` | フェイスメッシュのどの部分を描画するかを決定します。`"all"` は完全なメッシュ（楕円、目、眉、唇、虹彩、鼻）を描画します。`"fill"` は顔の楕円（シルエットマスク）の塗りつぶされたポリゴンを描画します。`"custom"` では各特徴を個別にオン/オフできます。（デフォルト: `"all"`） |
+| `color` | COLOR | はい | | メッシュの線と点の色です。（デフォルト: `#00ff00`） |
+| `thickness` | INT | はい | 0 ～ 8 | メッシュの線の太さ（ピクセル単位）です。0 に設定すると線の描画が無効になります。（デフォルト: 1） |
+| `point_size` | INT | はい | 0 ～ 16 | ランドマークの点の半径（ピクセル単位）です。0 に設定すると点の描画が無効になります。（デフォルト: 2） |
+
+**`connections` パラメータに関する注意:** `"custom"` が選択された場合、各顔の特徴（例: `face_oval`、`lips`、`left_eye`、`right_eye`、`left_eyebrow`、`right_eyebrow`、`left_iris`、`right_iris`、`nose`、`tesselation`）に対して追加のブール入力が表示されます。有効にした特徴のみが描画されます。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | 顔ランドマークメッシュが描画された入力画像です。 |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ko.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ko.md
new file mode 100644
index 000000000..49e785f0d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ko.md
@@ -0,0 +1,29 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ko.md)
+
+# MediaPipe 얼굴 메시 시각화
+
+## 개요
+
+입력 이미지 위에 얼굴 랜드마크 포인트와 연결선(얼굴 메시)을 그립니다. 이 노드는 얼굴 감지 노드에서 생성된 랜드마크 데이터를 사용하여 눈, 코, 입, 얼굴 윤곽선 등 감지된 얼굴 특징을 시각화합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | 예 | | 감지 노드의 얼굴 랜드마크 데이터입니다. |
+| `image` | IMAGE | 아니요 | | 메시를 그릴 이미지입니다. 연결되지 않은 경우 감지 결과와 동일한 크기의 검은색 캔버스가 사용됩니다. |
+| `connections` | COMBO | 예 | `"all"` `"fill"` `"custom"` | 얼굴 메시의 그릴 부분을 결정합니다. `"all"`은 전체 메시(타원형, 눈, 눈썹, 입술, 홍채, 코)를 그립니다. `"fill"`은 얼굴 타원형의 솔리드 다각형(실루엣 마스크)을 그립니다. `"custom"`은 각 특징을 개별적으로 켜고 끌 수 있습니다. (기본값: `"all"`) |
+| `color` | COLOR | 예 | | 메시 선과 포인트의 색상입니다. (기본값: `#00ff00`) |
+| `thickness` | INT | 예 | 0 ~ 8 | 메시 선의 두께(픽셀 단위)입니다. 0으로 설정하면 선 그리기가 비활성화됩니다. (기본값: 1) |
+| `point_size` | INT | 예 | 0 ~ 16 | 랜드마크 점의 반지름(픽셀 단위)입니다. 0으로 설정하면 점 그리기가 비활성화됩니다. (기본값: 2) |
+
+**`connections` 매개변수 참고:** `"custom"`을 선택하면 각 얼굴 특징에 대한 추가 부울 입력이 나타납니다(예: `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). 활성화한 특징만 그려집니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | 얼굴 랜드마크 메시가 그려진 입력 이미지입니다. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/pt-BR.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/pt-BR.md
new file mode 100644
index 000000000..64ce0d8ac
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/pt-BR.md
@@ -0,0 +1,27 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/pt-BR.md)
+
+## Visão Geral
+
+Desenha pontos de referência faciais e linhas de conexão (uma malha facial) sobre uma imagem de entrada. Este nó utiliza os dados de pontos de referência produzidos por um nó de detecção facial para visualizar as características faciais detectadas, como olhos, nariz, boca e contorno do rosto.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `face_landmarks` | FACE_LANDMARKS | Sim | | Os dados de pontos de referência facial de um nó de detecção. |
+| `image` | IMAGE | Não | | A imagem onde a malha será desenhada. Se não estiver conectada, será usado um canvas preto do mesmo tamanho do resultado da detecção. |
+| `connections` | COMBO | Sim | `"all"` `"fill"` `"custom"` | Determina quais partes da malha facial serão desenhadas. `"all"` desenha a malha completa (oval, olhos, sobrancelhas, lábios, íris, nariz). `"fill"` desenha um polígono sólido do oval facial (máscara de silhueta). `"custom"` permite ativar ou desativar cada característica individualmente. (padrão: `"all"`) |
+| `color` | COLOR | Sim | | A cor das linhas e pontos da malha. (padrão: `#00ff00`) |
+| `thickness` | INT | Sim | 0 a 8 | A espessura das linhas da malha em pixels. Definir como 0 desativa o desenho de linhas. (padrão: 1) |
+| `point_size` | INT | Sim | 0 a 16 | O raio dos pontos de referência em pixels. Definir como 0 desativa o desenho de pontos. (padrão: 2) |
+
+**Nota sobre o parâmetro `connections`:** Quando `"custom"` é selecionado, entradas booleanas adicionais aparecem para cada característica facial (ex.: `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Apenas as características que você ativar serão desenhadas.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `IMAGE` | IMAGE | A imagem de entrada com a malha de pontos de referência facial desenhada sobre ela. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ru.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ru.md
new file mode 100644
index 000000000..7a8270df7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ru.md
@@ -0,0 +1,27 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ru.md)
+
+## Обзор
+
+Рисует точки лицевых ориентиров и соединительные линии (лицевую сетку) поверх входного изображения. Этот узел использует данные ориентиров, полученные от узла обнаружения лиц, для визуализации обнаруженных черт лица, таких как глаза, нос, рот и контур лица.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Да | | Данные лицевых ориентиров от узла обнаружения. |
+| `image` | IMAGE | Нет | | Изображение, на котором будет нарисована сетка. Если не подключено, будет использован черный холст того же размера, что и результат обнаружения. |
+| `connections` | COMBO | Да | `"all"` `"fill"` `"custom"` | Определяет, какие части лицевой сетки рисовать. `"all"` рисует полную сетку (овал, глаза, брови, губы, радужки, нос). `"fill"` рисует сплошной многоугольник овала лица (маска силуэта). `"custom"` позволяет включать/отключать каждую черту индивидуально. (по умолчанию: `"all"`) |
+| `color` | COLOR | Да | | Цвет линий и точек сетки. (по умолчанию: `#00ff00`) |
+| `thickness` | INT | Да | от 0 до 8 | Толщина линий сетки в пикселях. Значение 0 отключает рисование линий. (по умолчанию: 1) |
+| `point_size` | INT | Да | от 0 до 16 | Радиус точек ориентиров в пикселях. Значение 0 отключает рисование точек. (по умолчанию: 2) |
+
+**Примечание к параметру `connections`:** При выборе значения `"custom"` появляются дополнительные логические входы для каждой черты лица (например, `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Будут нарисованы только включенные черты.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | Входное изображение с нарисованной на нем сеткой лицевых ориентиров. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/tr.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/tr.md
new file mode 100644
index 000000000..f8a985408
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/tr.md
@@ -0,0 +1,27 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/tr.md)
+
+## Genel Bakış
+
+Giriş görüntüsü üzerine yüz işaret noktaları ve bağlantı çizgileri (bir yüz ağı) çizer. Bu düğüm, bir yüz algılama düğümü tarafından üretilen işaret verilerini kullanarak gözler, burun, ağız ve yüz çevresi gibi algılanan yüz özelliklerini görselleştirir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | Evet | | Bir algılama düğümünden gelen yüz işaret verisi. |
+| `image` | IMAGE | Hayır | | Ağın çizileceği görüntü. Bağlı değilse, algılama sonucuyla aynı boyutta siyah bir tuval kullanılır. |
+| `connections` | COMBO | Evet | `"all"` `"fill"` `"custom"` | Yüz ağının hangi bölümlerinin çizileceğini belirler. `"all"` tam ağı (oval, gözler, kaşlar, dudaklar, irisler, burun) çizer. `"fill"` yüz ovalinin dolu bir çokgenini (siluet maskesi) çizer. `"custom"` her özelliği ayrı ayrı açıp kapatmanızı sağlar. (varsayılan: `"all"`) |
+| `color` | COLOR | Evet | | Ağ çizgilerinin ve noktalarının rengi. (varsayılan: `#00ff00`) |
+| `thickness` | INT | Evet | 0 ila 8 | Ağ çizgilerinin piksel cinsinden kalınlığı. 0 olarak ayarlanması çizgi çizmeyi devre dışı bırakır. (varsayılan: 1) |
+| `point_size` | INT | Evet | 0 ila 16 | İşaret noktalarının piksel cinsinden yarıçapı. 0 olarak ayarlanması nokta çizmeyi devre dışı bırakır. (varsayılan: 2) |
+
+**`connections` parametresi hakkında not:** `"custom"` seçildiğinde, her yüz özelliği için ek boolean girişler görünür (örneğin, `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Yalnızca etkinleştirdiğiniz özellikler çizilecektir.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | Üzerine yüz işaret ağı çizilmiş giriş görüntüsü. |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh-TW.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh-TW.md
new file mode 100644
index 000000000..bbe0187c9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh-TW.md
@@ -0,0 +1,27 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh-TW.md)
+
+## 概述
+
+在輸入影像上繪製臉部特徵點和連接線（臉部網格）。此節點使用臉部偵測節點產生的特徵點資料，將偵測到的臉部特徵（如眼睛、鼻子、嘴巴和臉部輪廓）視覺化。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | 是 | | 來自偵測節點的臉部特徵點資料。 |
+| `image` | IMAGE | 否 | | 要在其上繪製網格的影像。若未連接，將使用與偵測結果相同尺寸的黑色畫布。 |
+| `connections` | COMBO | 是 | `"all"` `"fill"` `"custom"` | 決定要繪製臉部網格的哪些部分。`"all"` 繪製完整網格（橢圓、眼睛、眉毛、嘴唇、虹膜、鼻子）。`"fill"` 繪製臉部橢圓的實心多邊形（剪影遮罩）。`"custom"` 可讓您個別切換每個特徵。（預設值：`"all"`） |
+| `color` | COLOR | 是 | | 網格線條和點的顏色。（預設值：`#00ff00`） |
+| `thickness` | INT | 是 | 0 至 8 | 網格線條的像素粗細。設為 0 可停用線條繪製。（預設值：1） |
+| `point_size` | INT | 是 | 0 至 16 | 特徵點圓點的像素半徑。設為 0 可停用圓點繪製。（預設值：2） |
+
+**關於 `connections` 參數的說明：** 當選擇 `"custom"` 時，每個臉部特徵會出現額外的布林輸入（例如 `face_oval`、`lips`、`left_eye`、`right_eye`、`left_eyebrow`、`right_eyebrow`、`left_iris`、`right_iris`、`nose`、`tesselation`）。僅會繪製您啟用的特徵。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | 已繪製臉部特徵點網格的輸入影像。 |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh.md b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh.md
new file mode 100644
index 000000000..a11e102ad
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh.md
@@ -0,0 +1,27 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh.md)
+
+## 概述
+
+在输入图像上绘制面部特征点及连接线（即面部网格）。此节点利用面部检测节点生成的特征点数据，将检测到的面部特征（如眼睛、鼻子、嘴巴和面部轮廓）可视化呈现。
+
+## 输入
+
+| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 |
+|-----------|-----------|----------|-------|-------------|
+| `face_landmarks` | FACE_LANDMARKS | 是 | | 来自检测节点的面部特征点数据。 |
+| `image` | IMAGE | 否 | | 用于绘制网格的图像。若未连接，将使用与检测结果相同尺寸的黑色画布。 |
+| `connections` | COMBO | 是 | `"all"` `"fill"` `"custom"` | 决定绘制面部网格的哪些部分。`"all"` 绘制完整网格（面部轮廓、眼睛、眉毛、嘴唇、虹膜、鼻子）。`"fill"` 绘制面部轮廓的实心多边形（剪影遮罩）。`"custom"` 允许单独开关每个特征。（默认值：`"all"`） |
+| `color` | COLOR | 是 | | 网格线条和点的颜色。（默认值：`#00ff00`） |
+| `thickness` | INT | 是 | 0 至 8 | 网格线条的像素宽度。设置为 0 可禁用线条绘制。（默认值：1） |
+| `point_size` | INT | 是 | 0 至 16 | 特征点圆点的像素半径。设置为 0 可禁用圆点绘制。（默认值：2） |
+
+**关于 `connections` 参数的说明：** 当选择 `"custom"` 时，每个面部特征会额外显示布尔输入（例如 `face_oval`、`lips`、`left_eye`、`right_eye`、`left_eyebrow`、`right_eyebrow`、`left_iris`、`right_iris`、`nose`、`tesselation`）。仅绘制您启用的特征。
+
+## 输出
+
+| 输出名称 | 数据类型 | 说明 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | 绘制了面部特征点网格的输入图像。 |
+
+---
+**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243`
diff --git a/comfyui_embedded_docs/docs/MergeImageLists/en.md b/comfyui_embedded_docs/docs/MergeImageLists/en.md
index 5319e7cb1..648c588db 100644
--- a/comfyui_embedded_docs/docs/MergeImageLists/en.md
+++ b/comfyui_embedded_docs/docs/MergeImageLists/en.md
@@ -2,6 +2,8 @@
The Merge Image Lists node combines multiple separate lists of images into a single, continuous list. It works by taking all the images from each connected input and appending them together in the order they are received. This is useful for organizing or batching images from different sources for further processing.
+**Note:** This node is deprecated and superseded by the Create List node.
+
## Inputs
| Parameter | Data Type | Required | Range | Description |
@@ -17,4 +19,4 @@ The Merge Image Lists node combines multiple separate lists of images into a sin
| `images` | IMAGE | The single, merged list containing all images from every connected input list. |
---
-**Source fingerprint (SHA-256):** `8fc53091b817a5036aae022aa841ba11fae0ed3242a969f5ae9072f48e061366`
+**Source fingerprint (SHA-256):** `0c9e302b02694a6a23fc7776c872856b1a629df3efe914a3e591a89d5a28914a`
diff --git a/comfyui_embedded_docs/docs/MergeTextLists/en.md b/comfyui_embedded_docs/docs/MergeTextLists/en.md
index 9c88b789f..17b87f9c9 100644
--- a/comfyui_embedded_docs/docs/MergeTextLists/en.md
+++ b/comfyui_embedded_docs/docs/MergeTextLists/en.md
@@ -10,6 +10,8 @@ This node merges multiple text lists into a single, combined list. It is designe
**Note:** This node is configured as a group process (`is_group_process = True`), meaning it automatically handles multiple list inputs by concatenating them before the main processing function runs.
+**Note:** This node is deprecated and superseded by the Create List node.
+
## Outputs
| Output Name | Data Type | Description |
@@ -17,4 +19,4 @@ This node merges multiple text lists into a single, combined list. It is designe
| `texts` | STRING | The single, merged list containing all the input texts. |
---
-**Source fingerprint (SHA-256):** `043a39a373d03f1ff79dd0746070171bab4d5d915c985e4e64fd35f802b09f69`
+**Source fingerprint (SHA-256):** `bb7f45725c2c41a18d8cd3040d093c11be2ceb03cf1849385aa55d12fd9eb555`
diff --git a/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md b/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md
index 1cc4293f1..92e729f9a 100644
--- a/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md
@@ -7,7 +7,7 @@ This node applies a specific animation to a 3D character model that has already
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `rig_task_id` | STRING | Yes | N/A | The unique task ID from a previously completed Meshy character rigging operation. |
-| `action_id` | INT | Yes | 0 to 696 | The ID number of the animation action to apply. Visit for a list of available values. (default: 0) |
+| `action_id` | INT | Yes | 0 to 696 | The ID number of the animation action to apply. Visit https://docs.meshy.ai/en/api/animation-library for a list of available values. (default: 0) |
## Outputs
@@ -18,4 +18,4 @@ This node applies a specific animation to a 3D character model that has already
| `FBX` | FILE3DFBX | The animated 3D model file in FBX format. |
---
-**Source fingerprint (SHA-256):** `3b7610b5f6f763dde86a52f9212b3fc98f41e54bda30097fcb8f5f0bd020899e`
+**Source fingerprint (SHA-256):** `0af4e96d031025fdb5e11d6dd35e408b61dcdd4ca64f88464a6510426485dac2`
diff --git a/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md b/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md
index 769aa3157..44767e569 100644
--- a/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md
@@ -35,4 +35,4 @@ The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a
| `FBX` | FILE3DFBX | The generated 3D model in the FBX file format. |
---
-**Source fingerprint (SHA-256):** `134d9250d8b447bbbd2905f827e81b67f491ba355ebb93d4d256324b644100a2`
+**Source fingerprint (SHA-256):** `87825d9d78ccfb1efdf07da0e9c8cfca39a8446dd99d346c732e4d1470194205`
diff --git a/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md b/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md
index a6ba7417d..2285e74b8 100644
--- a/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md
@@ -36,4 +36,4 @@ This node uses the Meshy API to generate a 3D model from multiple input images.
| `FBX` | FILE3DFBX | The generated 3D model in FBX format. |
---
-**Source fingerprint (SHA-256):** `e6f75f50645c8b2cf5ebbe037edb077ef1eb0ea1baf67c581d60ac0033686d00`
+**Source fingerprint (SHA-256):** `7118368e2d9c1a7df9866d19a033c6e2efd632381624a9ee537552502185d444`
diff --git a/comfyui_embedded_docs/docs/MeshyRefineNode/en.md b/comfyui_embedded_docs/docs/MeshyRefineNode/en.md
index 2887a86ba..c6c58f61a 100644
--- a/comfyui_embedded_docs/docs/MeshyRefineNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyRefineNode/en.md
@@ -24,4 +24,4 @@ The Meshy: Refine Draft Model node takes a previously generated 3D draft model a
| `FBX` | FILE3DFBX | The final refined 3D model in FBX format. |
---
-**Source fingerprint (SHA-256):** `cdf620ead0a4504cbb5d5554e0fe40e4cadd08884726f147cd486e63ab37f278`
+**Source fingerprint (SHA-256):** `b1cfdeb12d1f79c4c18f96b4f8a92de227210e369b22356fe7232e025956696e`
diff --git a/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md b/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md
index d2c1ada51..ca31f9d43 100644
--- a/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md
@@ -22,4 +22,4 @@ The Meshy: Rig Model node takes a 3D model from a previous Meshy task and automa
| `FBX` | FILE3DFBX | The rigged 3D character model saved in the FBX file format. |
---
-**Source fingerprint (SHA-256):** `91e06e3465d3d309d2267ae307ec5a704af3903b7a6d7fb6011217dd58a63973`
+**Source fingerprint (SHA-256):** `de47454600293b647fd6e244ad7e53de66169bb0d2b65df517a85bc6bc3ee6e0`
diff --git a/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md b/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md
index a738d374e..c11b1e97d 100644
--- a/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md
@@ -28,4 +28,4 @@ The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a t
| `FBX` | FILE3DFBX | The generated 3D model file in FBX format. |
---
-**Source fingerprint (SHA-256):** `122eee5488a89433bd1f3bf79ccd8e9c51fd23cc1dfb208c39a0628c2ad3d817`
+**Source fingerprint (SHA-256):** `4b02709a29d3df85e0ab1741b46d3ac74b0fe04135afa435f882b5a02114cc97`
diff --git a/comfyui_embedded_docs/docs/MeshyTextureNode/en.md b/comfyui_embedded_docs/docs/MeshyTextureNode/en.md
index 98f844375..234e400e2 100644
--- a/comfyui_embedded_docs/docs/MeshyTextureNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyTextureNode/en.md
@@ -28,4 +28,4 @@ The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a
| `FBX` | FILE3DFBX | The textured 3D model saved in the FBX file format. |
---
-**Source fingerprint (SHA-256):** `380b682a8290c69e71a204c8c3d6c2d4fb2c15f4bc1679b98c7fc4fd9ec9e1b3`
+**Source fingerprint (SHA-256):** `ac14eadd89c884abb8cb4800093fca93c8da5d8c86beec94bbdd40d34368ca09`
diff --git a/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md
index d9e5c2a58..c8337f7f7 100644
--- a/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md
@@ -22,4 +22,4 @@ Generates videos from text prompts using the MiniMax Hailuo-02 model. You can op
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `5466b9cda979a30158b818743de0e0cf30eb3e27015d431eb04a370029250a4c`
+**Source fingerprint (SHA-256):** `180e8d3c739e34094a12a719d3187378a4c360a5799a4b23029edf164d0c55a3`
diff --git a/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md
index c1fcedccc..f5bb326e1 100644
--- a/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md
@@ -18,4 +18,4 @@ Generates videos synchronously based on an image and prompt, and optional parame
| `output` | VIDEO | The generated video output |
---
-**Source fingerprint (SHA-256):** `9ad1659352e363361f09d6a7a0e24835056b20cc84532247251f516b0ac284e8`
+**Source fingerprint (SHA-256):** `8e5ae93cc214b541665f057c66d3203ef0ffdb10021fed2c05607df1b1a27844`
diff --git a/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md
index 1f6515388..5b69a3617 100644
--- a/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md
@@ -8,7 +8,7 @@ Generates a video synchronously based on a subject image and a text prompt using
|-----------|-----------|----------|-------|-------------|
| `subject` | IMAGE | Yes | - | Image of subject to reference for video generation |
| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation (default: empty string) |
-| `model` | COMBO | No | "S2V-01" | Model to use for video generation (default: "S2V-01") |
+| `model` | COMBO | No | `"S2V-01"` | Model to use for video generation (default: "S2V-01") |
| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) |
## Outputs
@@ -18,4 +18,4 @@ Generates a video synchronously based on a subject image and a text prompt using
| `output` | VIDEO | The generated video based on the input subject image and prompt |
---
-**Source fingerprint (SHA-256):** `69651367e6c452ec1f3a4765b74a28cc6b579288f3319ed70fa7c16a1ced0dbc`
+**Source fingerprint (SHA-256):** `0dbdb1bb92850f4eac7c30017643a49ad932b2542bdf5c5c521ba875a0e341ca`
diff --git a/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md
index 90fe9e21a..548ce6dcf 100644
--- a/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md)
-Generates videos synchronously based on a prompt, and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service.
+Generates videos synchronously based on a text prompt and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service.
## Inputs
@@ -17,4 +17,4 @@ Generates videos synchronously based on a prompt, and optional parameters using
| `output` | VIDEO | The generated video based on the input prompt |
---
-**Source fingerprint (SHA-256):** `bdbd8f9defc4c626f07b36c1ba9859155fa90a2d7ef9a491c30dac4d003d39be`
+**Source fingerprint (SHA-256):** `603b6407446f4f7c5ea9520126f960a52c498d16b59f66fe022fd439b59c39ba`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/ar.md b/comfyui_embedded_docs/docs/MoGeInference/ar.md
new file mode 100644
index 000000000..dbfab52ab
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/ar.md
@@ -0,0 +1,26 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ar.md)
+
+# نظرة عامة
+
+تشغيل نموذج MoGe على صورة واحدة لتقدير العمق والهندسة. تقوم هذه العقدة بمعالجة صورة إدخال من خلال نموذج MoGe لتوليد سحابة نقاط ثلاثية الأبعاد، وخريطة عمق، ومعاملات الكاميرا الداخلية، وقناع، والمتجهات العمودية للسطح.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|--------------|--------|--------|-------|
+| `moge_model` | MOGE_MODEL | نعم | غير متاح | نموذج MoGe المستخدم في الاستدلال. |
+| `image` | IMAGE | نعم | غير متاح | صورة الإدخال لتقدير العمق والهندسة. |
+| `resolution_level` | INT | نعم | 0 إلى 9 | يتحكم في دقة المعالجة. القيمة 0 هي الأسرع، والقيمة 9 توفر أعلى تفاصيل. (الافتراضي: 9) |
+| `fov_x_degrees` | FLOAT | نعم | 0.0 إلى 170.0 | مجال الرؤية الأفقي للكاميرا المصدر بالدرجات. يحدد البعد البؤري المستخدم لإسقاط خريطة العمق إلى ثلاثي الأبعاد. اضبط على 0.0 لاستعادة مجال الرؤية تلقائيًا من النقاط المتوقعة. (الافتراضي: 0.0) |
+| `batch_size` | INT | نعم | 1 إلى 64 | عدد الصور المعالجة لكل استدعاء استدلال. قلل هذه القيمة إذا نفدت الذاكرة عند معالجة مقاطع فيديو طويلة أو مجموعات صور كبيرة. (الافتراضي: 4) |
+| `force_projection` | BOOLEAN | نعم | صحيح/خطأ | (متقدم) يفرض إسقاط النقاط المتوقعة. (الافتراضي: صحيح) |
+| `apply_mask` | BOOLEAN | نعم | صحيح/خطأ | عند التفعيل، يضبط وحدات البكسل المقنعة (السماء أو غير الصالحة) على اللانهاية في مخرجات النقاط والعمق. يساعد ذلك أدوات التصيلي على تجاهل هذه المناطق. عطّل للحفاظ على الهندسة الأولية المتوقعة في كل مكان؛ لا يزال القناع يُعاد بشكل منفصل. (الافتراضي: صحيح) |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|------------|--------------|--------|
+| `moge_geometry` | MOGE_GEOMETRY | قاموس يحتوي على الهندسة المقدرة. يتضمن `image` الأصلية، وقد يحتوي على `points` (سحابة نقاط ثلاثية الأبعاد)، و`depth` (خريطة عمق)، و`intrinsics` (مصفوفة معاملات الكاميرا الداخلية)، و`mask` (قناع يحدد وحدات البكسل الصالحة)، و`normal` (المتجهات العمودية للسطح). |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/en.md b/comfyui_embedded_docs/docs/MoGeInference/en.md
new file mode 100644
index 000000000..5bc6349bf
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/en.md
@@ -0,0 +1,26 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/en.md)
+
+## Overview
+
+Run MoGe on a single image to estimate depth and geometry. This node processes an input image through the MoGe model to generate a 3D point cloud, depth map, camera intrinsics, a mask, and surface normals.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Yes | N/A | The MoGe model to use for inference. |
+| `image` | IMAGE | Yes | N/A | The input image for depth and geometry estimation. |
+| `resolution_level` | INT | Yes | 0 to 9 | Controls the processing resolution. 0 is fastest, 9 provides the most detail. (default: 9) |
+| `fov_x_degrees` | FLOAT | Yes | 0.0 to 170.0 | Horizontal field of view of the source camera in degrees. Sets the focal length used to unproject the depth map into 3D. Set to 0.0 to automatically recover the field of view from the predicted points. (default: 0.0) |
+| `batch_size` | INT | Yes | 1 to 64 | Number of images processed per inference call. Lower this value if you run out of memory when processing long videos or large image sets. (default: 4) |
+| `force_projection` | BOOLEAN | Yes | True/False | (Advanced) Forces projection of the predicted points. (default: True) |
+| `apply_mask` | BOOLEAN | Yes | True/False | When enabled, sets masked-out (sky or invalid) pixels to infinity in the points and depth outputs. This helps meshing tools ignore these areas. Disable to keep the raw predicted geometry everywhere; the mask is still returned separately. (default: True) |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | A dictionary containing the estimated geometry. It includes the original `image`, and may contain `points` (3D point cloud), `depth` (depth map), `intrinsics` (camera intrinsics matrix), `mask` (mask identifying valid pixels), and `normal` (surface normals). |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/es.md b/comfyui_embedded_docs/docs/MoGeInference/es.md
new file mode 100644
index 000000000..cf88a3947
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/es.md
@@ -0,0 +1,26 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/es.md)
+
+# Descripción general
+
+Ejecuta MoGe en una sola imagen para estimar profundidad y geometría. Este nodo procesa una imagen de entrada a través del modelo MoGe para generar una nube de puntos 3D, un mapa de profundidad, los parámetros intrínsecos de la cámara, una máscara y normales de superficie.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Sí | N/D | El modelo MoGe a utilizar para la inferencia. |
+| `image` | IMAGE | Sí | N/D | La imagen de entrada para la estimación de profundidad y geometría. |
+| `resolution_level` | INT | Sí | 0 a 9 | Controla la resolución de procesamiento. 0 es el más rápido, 9 proporciona el mayor detalle. (valor predeterminado: 9) |
+| `fov_x_degrees` | FLOAT | Sí | 0.0 a 170.0 | Campo de visión horizontal de la cámara fuente en grados. Establece la distancia focal utilizada para reproyectar el mapa de profundidad a 3D. Establézcalo en 0.0 para recuperar automáticamente el campo de visión a partir de los puntos predichos. (valor predeterminado: 0.0) |
+| `batch_size` | INT | Sí | 1 a 64 | Número de imágenes procesadas por llamada de inferencia. Reduzca este valor si se queda sin memoria al procesar videos largos o conjuntos grandes de imágenes. (valor predeterminado: 4) |
+| `force_projection` | BOOLEAN | Sí | Verdadero/Falso | (Avanzado) Fuerza la proyección de los puntos predichos. (valor predeterminado: Verdadero) |
+| `apply_mask` | BOOLEAN | Sí | Verdadero/Falso | Cuando está habilitado, establece los píxeles enmascarados (cielo o inválidos) como infinito en las salidas de puntos y profundidad. Esto ayuda a las herramientas de mallado a ignorar estas áreas. Deshabilítelo para mantener la geometría predicha sin procesar en todas partes; la máscara aún se devuelve por separado. (valor predeterminado: Verdadero) |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Un diccionario que contiene la geometría estimada. Incluye la `image` original, y puede contener `points` (nube de puntos 3D), `depth` (mapa de profundidad), `intrinsics` (matriz de parámetros intrínsecos de la cámara), `mask` (máscara que identifica píxeles válidos) y `normal` (normales de superficie). |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/fa.md b/comfyui_embedded_docs/docs/MoGeInference/fa.md
new file mode 100644
index 000000000..6c76145b8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/fa.md
@@ -0,0 +1,26 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/fa.md)
+
+## مرور کلی
+
+مدل MoGe را روی یک تصویر اجرا میکند تا عمق و هندسه را تخمین بزند. این گره یک تصویر ورودی را از طریق مدل MoGe پردازش کرده و یک ابرنقطه سهبعدی، نقشه عمق، پارامترهای ذاتی دوربین، یک ماسک و نرمالهای سطح تولید میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | بله | نامشخص | مدل MoGe مورد استفاده برای استنتاج. |
+| `image` | IMAGE | بله | نامشخص | تصویر ورودی برای تخمین عمق و هندسه. |
+| `resolution_level` | INT | بله | 0 تا 9 | سطح وضوح پردازش را کنترل میکند. 0 سریعترین و 9 بیشترین جزئیات را ارائه میدهد. (پیشفرض: 9) |
+| `fov_x_degrees` | FLOAT | بله | 0.0 تا 170.0 | میدان دید افقی دوربین منبع بر حسب درجه. فاصله کانونی مورد استفاده برای تبدیل نقشه عمق به فضای سهبعدی را تنظیم میکند. مقدار 0.0 بهطور خودکار میدان دید را از نقاط پیشبینیشده بازیابی میکند. (پیشفرض: 0.0) |
+| `batch_size` | INT | بله | 1 تا 64 | تعداد تصاویر پردازششده در هر فراخوانی استنتاج. در صورت اتمام حافظه هنگام پردازش ویدیوهای طولانی یا مجموعههای تصویری بزرگ، این مقدار را کاهش دهید. (پیشفرض: 4) |
+| `force_projection` | BOOLEAN | بله | True/False | (پیشرفته) نقاط پیشبینیشده را بهاجبار تصویربرداری میکند. (پیشفرض: True) |
+| `apply_mask` | BOOLEAN | بله | True/False | در صورت فعال بودن، پیکسلهای ماسکشده (آسمان یا نامعتبر) را در خروجی نقاط و عمق به بینهایت تنظیم میکند. این کار به ابزارهای مشسازی کمک میکند تا این نواحی را نادیده بگیرند. برای حفظ هندسه خام پیشبینیشده در همه جا غیرفعال کنید؛ ماسک همچنان بهصورت جداگانه بازگردانده میشود. (پیشفرض: True) |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | یک دیکشنری شامل هندسه تخمینزدهشده. شامل `image` اصلی بوده و ممکن است شامل `points` (ابرنقطه سهبعدی)، `depth` (نقشه عمق)، `intrinsics` (ماتریس پارامترهای ذاتی دوربین)، `mask` (ماسک شناسایی پیکسلهای معتبر) و `normal` (نرمالهای سطح) باشد. |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/fr.md b/comfyui_embedded_docs/docs/MoGeInference/fr.md
new file mode 100644
index 000000000..cd2f4017a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/fr.md
@@ -0,0 +1,28 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI **MoGeInference** :
+
+## Aperçu
+
+Exécute MoGe sur une seule image pour estimer la profondeur et la géométrie. Ce nœud traite une image d'entrée via le modèle MoGe pour générer un nuage de points 3D, une carte de profondeur, les paramètres intrinsèques de la caméra, un masque et des normales de surface.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Oui | N/A | Le modèle MoGe à utiliser pour l'inférence. |
+| `image` | IMAGE | Oui | N/A | L'image d'entrée pour l'estimation de la profondeur et de la géométrie. |
+| `resolution_level` | INT | Oui | 0 à 9 | Contrôle la résolution de traitement. 0 est le plus rapide, 9 offre le plus de détails. (par défaut : 9) |
+| `fov_x_degrees` | FLOAT | Oui | 0.0 à 170.0 | Champ de vision horizontal de la caméra source en degrés. Définit la distance focale utilisée pour projeter la carte de profondeur en 3D. Réglez sur 0.0 pour récupérer automatiquement le champ de vision à partir des points prédits. (par défaut : 0.0) |
+| `batch_size` | INT | Oui | 1 à 64 | Nombre d'images traitées par appel d'inférence. Réduisez cette valeur si vous manquez de mémoire lors du traitement de longues vidéos ou de grands ensembles d'images. (par défaut : 4) |
+| `force_projection` | BOOLEAN | Oui | Vrai/Faux | (Avancé) Force la projection des points prédits. (par défaut : Vrai) |
+| `apply_mask` | BOOLEAN | Oui | Vrai/Faux | Lorsqu'il est activé, définit les pixels masqués (ciel ou invalides) à l'infini dans les sorties de points et de profondeur. Cela aide les outils de maillage à ignorer ces zones. Désactivez pour conserver la géométrie brute prédite partout ; le masque est toujours renvoyé séparément. (par défaut : Vrai) |
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Un dictionnaire contenant la géométrie estimée. Il inclut l'`image` d'origine et peut contenir `points` (nuage de points 3D), `depth` (carte de profondeur), `intrinsics` (matrice des paramètres intrinsèques de la caméra), `mask` (masque identifiant les pixels valides) et `normal` (normales de surface). |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/ja.md b/comfyui_embedded_docs/docs/MoGeInference/ja.md
new file mode 100644
index 000000000..d894cf8cf
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/ja.md
@@ -0,0 +1,28 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+単一の画像に対してMoGeを実行し、深度とジオメトリを推定します。このノードは、入力画像をMoGeモデルで処理し、3D点群、深度マップ、カメラ内部パラメータ、マスク、および表面法線を生成します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | はい | N/A | 推論に使用するMoGeモデル。 |
+| `image` | IMAGE | はい | N/A | 深度とジオメトリ推定のための入力画像。 |
+| `resolution_level` | INT | はい | 0 ～ 9 | 処理解像度を制御します。0が最も高速で、9が最も詳細な結果を提供します。（デフォルト：9） |
+| `fov_x_degrees` | FLOAT | はい | 0.0 ～ 170.0 | ソースカメラの水平視野角（度単位）。深度マップを3Dに逆投影するために使用される焦点距離を設定します。0.0に設定すると、予測された点群から視野角を自動的に復元します。（デフォルト：0.0） |
+| `batch_size` | INT | はい | 1 ～ 64 | 1回の推論呼び出しで処理される画像の枚数。長い動画や大量の画像セットを処理する際にメモリが不足する場合は、この値を小さくしてください。（デフォルト：4） |
+| `force_projection` | BOOLEAN | はい | True/False | （上級者向け）予測された点群の投影を強制します。（デフォルト：True） |
+| `apply_mask` | BOOLEAN | はい | True/False | 有効にすると、マスクされた（空または無効な）ピクセルを点群と深度出力において無限遠に設定します。これにより、メッシュ作成ツールがこれらの領域を無視できるようになります。無効にすると、生の予測ジオメトリがすべての領域で保持されます。マスクは別途返されます。（デフォルト：True） |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 推定されたジオメトリを含む辞書。元の`image`を含み、`points`（3D点群）、`depth`（深度マップ）、`intrinsics`（カメラ内部パラメータ行列）、`mask`（有効なピクセルを識別するマスク）、`normal`（表面法線）を含む場合があります。 |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/ko.md b/comfyui_embedded_docs/docs/MoGeInference/ko.md
new file mode 100644
index 000000000..2cf84f1d8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/ko.md
@@ -0,0 +1,26 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ko.md)
+
+# 개요
+
+단일 이미지에 MoGe를 실행하여 깊이와 형상을 추정합니다. 이 노드는 MoGe 모델을 통해 입력 이미지를 처리하여 3D 포인트 클라우드, 깊이 맵, 카메라 내부 파라미터, 마스크 및 표면 법선을 생성합니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | 예 | 해당 없음 | 추론에 사용할 MoGe 모델입니다. |
+| `image` | IMAGE | 예 | 해당 없음 | 깊이 및 형상 추정을 위한 입력 이미지입니다. |
+| `resolution_level` | INT | 예 | 0 ~ 9 | 처리 해상도를 제어합니다. 0이 가장 빠르고, 9가 가장 상세합니다. (기본값: 9) |
+| `fov_x_degrees` | FLOAT | 예 | 0.0 ~ 170.0 | 소스 카메라의 수평 시야각(도)입니다. 깊이 맵을 3D로 역투영하는 데 사용되는 초점 거리를 설정합니다. 0.0으로 설정하면 예측된 포인트에서 시야각을 자동으로 복원합니다. (기본값: 0.0) |
+| `batch_size` | INT | 예 | 1 ~ 64 | 추론 호출당 처리되는 이미지 수입니다. 긴 동영상이나 대용량 이미지 세트를 처리할 때 메모리가 부족하면 이 값을 낮추십시오. (기본값: 4) |
+| `force_projection` | BOOLEAN | 예 | True/False | (고급) 예측된 포인트의 투영을 강제합니다. (기본값: True) |
+| `apply_mask` | BOOLEAN | 예 | True/False | 활성화하면 마스크 처리된(하늘 또는 무효) 픽셀을 포인트 및 깊이 출력에서 무한대로 설정합니다. 이는 메싱 도구가 이러한 영역을 무시하는 데 도움이 됩니다. 비활성화하면 모든 영역에서 원시 예측 형상을 유지하며, 마스크는 별도로 반환됩니다. (기본값: True) |
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 추정된 형상을 포함하는 딕셔너리입니다. 원본 `image`를 포함하며, `points`(3D 포인트 클라우드), `depth`(깊이 맵), `intrinsics`(카메라 내부 파라미터 행렬), `mask`(유효 픽셀 식별 마스크), `normal`(표면 법선)을 포함할 수 있습니다. |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/pt-BR.md b/comfyui_embedded_docs/docs/MoGeInference/pt-BR.md
new file mode 100644
index 000000000..516ed634e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/pt-BR.md
@@ -0,0 +1,28 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/en.md)
+
+## Visão Geral
+
+Execute o MoGe em uma única imagem para estimar profundidade e geometria. Este nó processa uma imagem de entrada através do modelo MoGe para gerar uma nuvem de pontos 3D, mapa de profundidade, parâmetros intrínsecos da câmera, uma máscara e normais de superfície.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `moge_model` | MOGE_MODEL | Sim | N/A | O modelo MoGe a ser usado para inferência. |
+| `image` | IMAGE | Sim | N/A | A imagem de entrada para estimativa de profundidade e geometria. |
+| `resolution_level` | INT | Sim | 0 a 9 | Controla a resolução de processamento. 0 é o mais rápido, 9 fornece o maior nível de detalhe. (padrão: 9) |
+| `fov_x_degrees` | FLOAT | Sim | 0.0 a 170.0 | Campo de visão horizontal da câmera de origem em graus. Define a distância focal usada para reprojetar o mapa de profundidade em 3D. Defina como 0.0 para recuperar automaticamente o campo de visão a partir dos pontos previstos. (padrão: 0.0) |
+| `batch_size` | INT | Sim | 1 a 64 | Número de imagens processadas por chamada de inferência. Reduza este valor se ficar sem memória ao processar vídeos longos ou conjuntos grandes de imagens. (padrão: 4) |
+| `force_projection` | BOOLEAN | Sim | Verdadeiro/Falso | (Avançado) Força a projeção dos pontos previstos. (padrão: Verdadeiro) |
+| `apply_mask` | BOOLEAN | Sim | Verdadeiro/Falso | Quando ativado, define pixels mascarados (céu ou inválidos) como infinito nas saídas de pontos e profundidade. Isso ajuda ferramentas de malhagem a ignorar essas áreas. Desative para manter a geometria bruta prevista em toda parte; a máscara ainda é retornada separadamente. (padrão: Verdadeiro) |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `moge_geometry` | MOGE_GEOMETRY | Um dicionário contendo a geometria estimada. Inclui a `image` original e pode conter `points` (nuvem de pontos 3D), `depth` (mapa de profundidade), `intrinsics` (matriz de parâmetros intrínsecos da câmera), `mask` (máscara identificando pixels válidos) e `normal` (normais de superfície). |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/ru.md b/comfyui_embedded_docs/docs/MoGeInference/ru.md
new file mode 100644
index 000000000..e7a3c7285
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/ru.md
@@ -0,0 +1,26 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ru.md)
+
+## Обзор
+
+Запуск MoGe на одном изображении для оценки глубины и геометрии. Этот узел обрабатывает входное изображение через модель MoGe для создания трехмерного облака точек, карты глубины, внутренних параметров камеры, маски и нормалей поверхности.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Да | Н/Д | Модель MoGe для выполнения инференса. |
+| `image` | IMAGE | Да | Н/Д | Входное изображение для оценки глубины и геометрии. |
+| `resolution_level` | INT | Да | от 0 до 9 | Управляет разрешением обработки. 0 — самый быстрый, 9 обеспечивает максимальную детализацию. (по умолчанию: 9) |
+| `fov_x_degrees` | FLOAT | Да | от 0.0 до 170.0 | Горизонтальное поле зрения исходной камеры в градусах. Задает фокусное расстояние, используемое для проецирования карты глубины в 3D. Установите значение 0.0 для автоматического восстановления поля зрения из предсказанных точек. (по умолчанию: 0.0) |
+| `batch_size` | INT | Да | от 1 до 64 | Количество изображений, обрабатываемых за один вызов инференса. Уменьшите это значение при нехватке памяти при обработке длинных видео или больших наборов изображений. (по умолчанию: 4) |
+| `force_projection` | BOOLEAN | Да | True/False | (Расширенный) Принудительное проецирование предсказанных точек. (по умолчанию: True) |
+| `apply_mask` | BOOLEAN | Да | True/False | При включении устанавливает для маскированных (небо или недопустимые) пикселей значение бесконечности в выходах точек и глубины. Это помогает инструментам создания сетки игнорировать эти области. Отключите, чтобы сохранить исходную предсказанную геометрию везде; маска по-прежнему возвращается отдельно. (по умолчанию: True) |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Словарь, содержащий оцененную геометрию. Включает исходное `image` и может содержать `points` (трехмерное облако точек), `depth` (карта глубины), `intrinsics` (матрица внутренних параметров камеры), `mask` (маска, определяющая допустимые пиксели) и `normal` (нормали поверхности). |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/tr.md b/comfyui_embedded_docs/docs/MoGeInference/tr.md
new file mode 100644
index 000000000..8b6f4db29
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/tr.md
@@ -0,0 +1,28 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/tr.md)
+
+# MoGe Çıkarımı
+
+## Genel Bakış
+
+MoGe'yi tek bir görüntü üzerinde çalıştırarak derinlik ve geometri tahmini yapın. Bu düğüm, giriş görüntüsünü MoGe modeli aracılığıyla işleyerek 3B nokta bulutu, derinlik haritası, kamera iç parametreleri, bir maske ve yüzey normalleri oluşturur.
+
+## Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Evet | Yok | Çıkarım için kullanılacak MoGe modeli. |
+| `image` | IMAGE | Evet | Yok | Derinlik ve geometri tahmini için giriş görüntüsü. |
+| `resolution_level` | INT | Evet | 0 ile 9 | İşleme çözünürlüğünü kontrol eder. 0 en hızlı, 9 en fazla detayı sağlar. (varsayılan: 9) |
+| `fov_x_degrees` | FLOAT | Evet | 0,0 ile 170,0 | Kaynak kameranın derece cinsinden yatay görüş alanı. Derinlik haritasını 3B'ye dönüştürmek için kullanılan odak uzunluğunu ayarlar. Tahmin edilen noktalardan görüş alanını otomatik olarak kurtarmak için 0,0 olarak ayarlayın. (varsayılan: 0,0) |
+| `batch_size` | INT | Evet | 1 ile 64 | Her çıkarım çağrısında işlenen görüntü sayısı. Uzun videoları veya büyük görüntü kümelerini işlerken bellek sorunu yaşıyorsanız bu değeri düşürün. (varsayılan: 4) |
+| `force_projection` | BOOLEAN | Evet | Doğru/Yanlış | (Gelişmiş) Tahmin edilen noktaların izdüşümünü zorlar. (varsayılan: Doğru) |
+| `apply_mask` | BOOLEAN | Evet | Doğru/Yanlış | Etkinleştirildiğinde, maskelenmiş (gökyüzü veya geçersiz) pikselleri nokta ve derinlik çıktılarında sonsuz olarak ayarlar. Bu, örgü oluşturma araçlarının bu alanları yok saymasına yardımcı olur. Ham tahmin edilen geometriyi her yerde tutmak için devre dışı bırakın; maske yine de ayrı olarak döndürülür. (varsayılan: Doğru) |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Tahmin edilen geometriyi içeren bir sözlük. Orijinal `image`'i içerir ve `points` (3B nokta bulutu), `depth` (derinlik haritası), `intrinsics` (kamera iç parametre matrisi), `mask` (geçerli pikselleri tanımlayan maske) ve `normal` (yüzey normalleri) içerebilir. |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/zh-TW.md b/comfyui_embedded_docs/docs/MoGeInference/zh-TW.md
new file mode 100644
index 000000000..e95beb690
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/zh-TW.md
@@ -0,0 +1,26 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/zh-TW.md)
+
+## 概述
+
+對單張影像執行 MoGe 模型以估算深度與幾何結構。此節點透過 MoGe 模型處理輸入影像，生成 3D 點雲、深度圖、相機內參、遮罩以及表面法向量。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | 是 | 不適用 | 用於推論的 MoGe 模型。 |
+| `image` | IMAGE | 是 | 不適用 | 用於深度與幾何估算的輸入影像。 |
+| `resolution_level` | INT | 是 | 0 至 9 | 控制處理解析度。0 為最快，9 提供最多細節。（預設值：9） |
+| `fov_x_degrees` | FLOAT | 是 | 0.0 至 170.0 | 來源相機的水平視野角度（度）。設定用於將深度圖反投影至 3D 的焦距。設為 0.0 可從預測點自動還原視野。（預設值：0.0） |
+| `batch_size` | INT | 是 | 1 至 64 | 每次推論呼叫處理的影像數量。若處理長影片或大型影像集時記憶體不足，請調低此值。（預設值：4） |
+| `force_projection` | BOOLEAN | 是 | True/False | （進階）強制投影預測點。（預設值：True） |
+| `apply_mask` | BOOLEAN | 是 | True/False | 啟用時，將遮罩區域（天空或無效區域）的像素設為點雲與深度輸出中的無限遠值。這有助於網格工具忽略這些區域。停用則保留所有位置的原始預測幾何；遮罩仍會單獨回傳。（預設值：True） |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 包含估算幾何結構的字典。其中包括原始 `image`，並可能包含 `points`（3D 點雲）、`depth`（深度圖）、`intrinsics`（相機內參矩陣）、`mask`（標示有效像素的遮罩）以及 `normal`（表面法向量）。 |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGeInference/zh.md b/comfyui_embedded_docs/docs/MoGeInference/zh.md
new file mode 100644
index 000000000..73da662b5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeInference/zh.md
@@ -0,0 +1,26 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/zh.md)
+
+## ## 概述
+
+对单张图像运行 MoGe 模型以估计深度和几何结构。此节点通过 MoGe 模型处理输入图像，生成 3D 点云、深度图、相机内参、遮罩以及表面法线。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必需 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | 是 | 不适用 | 用于推理的 MoGe 模型。 |
+| `image` | IMAGE | 是 | 不适用 | 用于深度和几何估计的输入图像。 |
+| `resolution_level` | INT | 是 | 0 到 9 | 控制处理分辨率。0 最快，9 提供最精细的细节。（默认值：9） |
+| `fov_x_degrees` | FLOAT | 是 | 0.0 到 170.0 | 源相机的水平视场角（单位：度）。设置用于将深度图反投影到 3D 的焦距。设为 0.0 可从预测点自动恢复视场角。（默认值：0.0） |
+| `batch_size` | INT | 是 | 1 到 64 | 每次推理调用处理的图像数量。处理长视频或大型图像集时，若内存不足，可降低此值。（默认值：4） |
+| `force_projection` | BOOLEAN | 是 | True/False | （高级）强制对预测点进行投影。（默认值：True） |
+| `apply_mask` | BOOLEAN | 是 | True/False | 启用时，将遮罩区域（天空或无效像素）在点和深度输出中设为无穷大。这有助于网格化工具忽略这些区域。禁用时，保留所有位置的原始预测几何结构；遮罩仍会单独返回。（默认值：True） |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 包含估计几何结构的字典。其中包括原始 `image`，并可能包含 `points`（3D 点云）、`depth`（深度图）、`intrinsics`（相机内参矩阵）、`mask`（标识有效像素的遮罩）以及 `normal`（表面法线）。 |
+
+---
+**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/ar.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/ar.md
new file mode 100644
index 000000000..c6ea861e2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/ar.md
@@ -0,0 +1,25 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ar.md)
+
+# نظرة عامة
+
+تقوم هذه العقدة بإجراء تقدير العمق على الصور البانورامية متساوية المستطيلات. تعمل عن طريق تقسيم البانوراما إلى 12 منظرًا منظوريًا، وتشغيل نموذج تقدير العمق MoGe على كل منظر، ثم دمج النتائج مرة أخرى في خريطة عمق واحدة كاملة للبانوراما الأصلية.
+
+# المدخلات
+
+| المعامل | نوع البيانات | إجباري | النطاق | الوصف |
+|---------|--------------|--------|--------|-------|
+| `moge_model` | MOGE_MODEL | نعم | | نموذج MoGe المراد استخدامه للاستدلال. |
+| `image` | IMAGE | نعم | | صورة بانورامية متساوية المستطيلات (أي نسبة أبعاد). |
+| `resolution_level` | INT | نعم | 0 إلى 9 | مستوى تفاصيل كل منظر. القيم الأعلى تنتج خرائط عمق أكثر تفصيلاً (الافتراضي: 9). |
+| `split_resolution` | INT | نعم | 256 إلى 1024 | دقة كل منظر منظوري بعد تقسيم البانوراما (الافتراضي: 512). |
+| `merge_resolution` | INT | نعم | 256 إلى 8192 | دقة الجانب الطويل لخريطة العمق متساوية المستطيلات النهائية المدمجة (الافتراضي: 1920). |
+| `batch_size` | INT | نعم | 1 إلى 12 | عدد المناظير المنظورية المراد معالجتها في كل دفعة استدلال. إجمالي عدد المناظير هو 12 (الافتراضي: 4). |
+
+# المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|------------|--------------|-------|
+| `moge_geometry` | MOGE_GEOMETRY | قاموس يحتوي على الهندسة المقدرة: `points` (سحابة نقاط ثلاثية الأبعاد)، `depth` (خريطة العمق)، `mask` (قناع المنطقة الصالحة)، و `image` (الصورة المدخلة). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md
new file mode 100644
index 000000000..0e8c37fd4
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md
@@ -0,0 +1,25 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md)
+
+## Overview
+
+This node performs depth estimation on equirectangular panorama images. It works by splitting the panorama into 12 perspective views, running the MoGe depth estimation model on each view, and then merging the results back into a single, complete depth map for the original panorama.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Yes | | The MoGe model to use for inference. |
+| `image` | IMAGE | Yes | | Equirectangular panorama image (any aspect ratio). |
+| `resolution_level` | INT | Yes | 0 to 9 | Per-view detail level. Higher values produce more detailed depth maps (default: 9). |
+| `split_resolution` | INT | Yes | 256 to 1024 | Resolution of each perspective view after splitting the panorama (default: 512). |
+| `merge_resolution` | INT | Yes | 256 to 8192 | Long-side resolution of the final merged equirectangular depth map (default: 1920). |
+| `batch_size` | INT | Yes | 1 to 12 | Number of perspective views to process in each inference batch. The total number of views is 12 (default: 4). |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | A dictionary containing the estimated geometry: `points` (3D point cloud), `depth` (depth map), `mask` (valid area mask), and `image` (the input image). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/es.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/es.md
new file mode 100644
index 000000000..37f71ea59
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/es.md
@@ -0,0 +1,25 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/es.md)
+
+## Descripción general
+
+Este nodo realiza la estimación de profundidad en imágenes panorámicas equirrectangulares. Funciona dividiendo el panorama en 12 vistas en perspectiva, ejecutando el modelo de estimación de profundidad MoGe en cada vista y luego fusionando los resultados en un único mapa de profundidad completo para el panorama original.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Sí | | El modelo MoGe a utilizar para la inferencia. |
+| `image` | IMAGE | Sí | | Imagen panorámica equirrectangular (cualquier relación de aspecto). |
+| `resolution_level` | INT | Sí | 0 a 9 | Nivel de detalle por vista. Valores más altos producen mapas de profundidad más detallados (predeterminado: 9). |
+| `split_resolution` | INT | Sí | 256 a 1024 | Resolución de cada vista en perspectiva después de dividir el panorama (predeterminado: 512). |
+| `merge_resolution` | INT | Sí | 256 a 8192 | Resolución del lado largo del mapa de profundidad equirrectangular final fusionado (predeterminado: 1920). |
+| `batch_size` | INT | Sí | 1 a 12 | Número de vistas en perspectiva a procesar en cada lote de inferencia. El número total de vistas es 12 (predeterminado: 4). |
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Un diccionario que contiene la geometría estimada: `points` (nube de puntos 3D), `depth` (mapa de profundidad), `mask` (máscara de área válida) e `image` (la imagen de entrada). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/fa.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/fa.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/fa.md
@@ -0,0 +1,25 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/fa.md)
+
+## مرور کلی
+
+این گره تخمین عمق را بر روی تصاویر پانورامای استوانهای (equirectangular) انجام میدهد. عملکرد آن به این صورت است که پانوراما را به ۱۲ نمای پرسپکتیو تقسیم میکند، مدل تخمین عمق MoGe را بر روی هر نما اجرا میکند و سپس نتایج را در یک نقشه عمق کامل و یکپارچه برای پانورامای اصلی ادغام میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `moge_model` | MOGE_MODEL | بله | | مدل MoGe مورد استفاده برای استنتاج. |
+| `image` | IMAGE | بله | | تصویر پانورامای استوانهای (با هر نسبت ابعادی). |
+| `resolution_level` | INT | بله | ۰ تا ۹ | سطح جزئیات هر نما. مقادیر بالاتر نقشههای عمق دقیقتری تولید میکنند (پیشفرض: ۹). |
+| `split_resolution` | INT | بله | ۲۵۶ تا ۱۰۲۴ | وضوح هر نمای پرسپکتیو پس از تقسیم پانوراما (پیشفرض: ۵۱۲). |
+| `merge_resolution` | INT | بله | ۲۵۶ تا ۸۱۹۲ | وضوح ضلع بلند نقشه عمق استوانهای نهایی ادغامشده (پیشفرض: ۱۹۲۰). |
+| `batch_size` | INT | بله | ۱ تا ۱۲ | تعداد نماهای پرسپکتیو پردازششده در هر دسته استنتاج. تعداد کل نماها ۱۲ عدد است (پیشفرض: ۴). |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `moge_geometry` | MOGE_GEOMETRY | یک دیکشنری شامل هندسه تخمینزدهشده: `points` (ابر نقطه سهبعدی)، `depth` (نقشه عمق)، `mask` (ماسک ناحیه معتبر) و `image` (تصویر ورودی). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/fr.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/fr.md
new file mode 100644
index 000000000..201cac72f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/fr.md
@@ -0,0 +1,25 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/fr.md)
+
+## Aperçu
+
+Ce nœud effectue une estimation de profondeur sur des images panoramiques équirectangulaires. Il fonctionne en divisant le panorama en 12 vues en perspective, en exécutant le modèle d'estimation de profondeur MoGe sur chaque vue, puis en fusionnant les résultats en une seule carte de profondeur complète pour le panorama d'origine.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Oui | | Le modèle MoGe à utiliser pour l'inférence. |
+| `image` | IMAGE | Oui | | Image panoramique équirectangulaire (tout rapport hauteur/largeur). |
+| `resolution_level` | INT | Oui | 0 à 9 | Niveau de détail par vue. Des valeurs plus élevées produisent des cartes de profondeur plus détaillées (par défaut : 9). |
+| `split_resolution` | INT | Oui | 256 à 1024 | Résolution de chaque vue en perspective après division du panorama (par défaut : 512). |
+| `merge_resolution` | INT | Oui | 256 à 8192 | Résolution du côté long de la carte de profondeur équirectangulaire finale fusionnée (par défaut : 1920). |
+| `batch_size` | INT | Oui | 1 à 12 | Nombre de vues en perspective à traiter dans chaque lot d'inférence. Le nombre total de vues est de 12 (par défaut : 4). |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Un dictionnaire contenant la géométrie estimée : `points` (nuage de points 3D), `depth` (carte de profondeur), `mask` (masque de zone valide) et `image` (l'image d'entrée). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md
new file mode 100644
index 000000000..8f00e5c70
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md
@@ -0,0 +1,25 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md)
+
+## 概要
+
+このノードは、正距円筒図法のパノラマ画像に対して深度推定を実行します。パノラマを12の透視図に分割し、各ビューに対してMoGe深度推定モデルを実行した後、結果を元のパノラマの単一かつ完全な深度マップに統合することで動作します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | はい | | 推論に使用するMoGeモデル。 |
+| `image` | IMAGE | はい | | 正距円筒図法のパノラマ画像（任意のアスペクト比）。 |
+| `resolution_level` | INT | はい | 0～9 | ビューごとの詳細レベル。値が大きいほど詳細な深度マップが生成されます（デフォルト：9）。 |
+| `split_resolution` | INT | はい | 256～1024 | パノラマ分割後の各透視図の解像度（デフォルト：512）。 |
+| `merge_resolution` | INT | はい | 256～8192 | 最終的に統合された正距円筒図法の深度マップの長辺解像度（デフォルト：1920）。 |
+| `batch_size` | INT | はい | 1～12 | 各推論バッチで処理する透視図の数。総ビュー数は12です（デフォルト：4）。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 推定されたジオメトリを含む辞書：`points`（3D点群）、`depth`（深度マップ）、`mask`（有効領域マスク）、`image`（入力画像）。 |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/ko.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/ko.md
new file mode 100644
index 000000000..51b7f3f9d
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+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/ko.md
@@ -0,0 +1,25 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ko.md)
+
+## 개요
+
+이 노드는 정구형 파노라마 이미지에 대한 깊이 추정을 수행합니다. 파노라마를 12개의 원근 뷰로 분할하고, 각 뷰에 대해 MoGe 깊이 추정 모델을 실행한 후, 결과를 다시 원본 파노라마에 대한 단일 완전한 깊이 맵으로 병합하는 방식으로 작동합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | 예 | | 추론에 사용할 MoGe 모델입니다. |
+| `image` | IMAGE | 예 | | 정구형 파노라마 이미지(모든 종횡비 가능)입니다. |
+| `resolution_level` | INT | 예 | 0 ~ 9 | 뷰별 세부 수준입니다. 값이 높을수록 더 상세한 깊이 맵이 생성됩니다(기본값: 9). |
+| `split_resolution` | INT | 예 | 256 ~ 1024 | 파노라마 분할 후 각 원근 뷰의 해상도입니다(기본값: 512). |
+| `merge_resolution` | INT | 예 | 256 ~ 8192 | 최종 병합된 정구형 깊이 맵의 긴 변 해상도입니다(기본값: 1920). |
+| `batch_size` | INT | 예 | 1 ~ 12 | 각 추론 배치에서 처리할 원근 뷰의 수입니다. 총 뷰 수는 12개입니다(기본값: 4). |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 추정된 형상을 포함하는 사전입니다: `points`(3D 포인트 클라우드), `depth`(깊이 맵), `mask`(유효 영역 마스크), `image`(입력 이미지). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/pt-BR.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/pt-BR.md
new file mode 100644
index 000000000..34f632937
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/pt-BR.md
@@ -0,0 +1,27 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md)
+
+## Visão Geral
+
+Este nó realiza estimativa de profundidade em imagens panorâmicas equirretangulares. Ele funciona dividindo o panorama em 12 vistas em perspectiva, executando o modelo de estimativa de profundidade MoGe em cada vista e, em seguida, mesclando os resultados em um único mapa de profundidade completo para o panorama original.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `moge_model` | MOGE_MODEL | Sim | | O modelo MoGe a ser usado para inferência. |
+| `image` | IMAGE | Sim | | Imagem panorâmica equirretangular (qualquer proporção de aspecto). |
+| `resolution_level` | INT | Sim | 0 a 9 | Nível de detalhe por vista. Valores mais altos produzem mapas de profundidade mais detalhados (padrão: 9). |
+| `split_resolution` | INT | Sim | 256 a 1024 | Resolução de cada vista em perspectiva após a divisão do panorama (padrão: 512). |
+| `merge_resolution` | INT | Sim | 256 a 8192 | Resolução do lado maior do mapa de profundidade equirretangular final mesclado (padrão: 1920). |
+| `batch_size` | INT | Sim | 1 a 12 | Número de vistas em perspectiva a serem processadas em cada lote de inferência. O número total de vistas é 12 (padrão: 4). |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `moge_geometry` | MOGE_GEOMETRY | Um dicionário contendo a geometria estimada: `points` (nuvem de pontos 3D), `depth` (mapa de profundidade), `mask` (máscara de área válida) e `image` (a imagem de entrada). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/ru.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/ru.md
new file mode 100644
index 000000000..fa8f115e8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/ru.md
@@ -0,0 +1,25 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ru.md)
+
+## Обзор
+
+Этот узел выполняет оценку глубины на равнопромежуточных панорамных изображениях. Он работает путем разделения панорамы на 12 перспективных видов, запуска модели оценки глубины MoGe на каждом виде, а затем объединения результатов обратно в единую полную карту глубины для исходной панорамы.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Да | | Модель MoGe для выполнения инференса. |
+| `image` | IMAGE | Да | | Равнопромежуточное панорамное изображение (любое соотношение сторон). |
+| `resolution_level` | INT | Да | от 0 до 9 | Уровень детализации для каждого вида. Более высокие значения создают более детальные карты глубины (по умолчанию: 9). |
+| `split_resolution` | INT | Да | от 256 до 1024 | Разрешение каждого перспективного вида после разделения панорамы (по умолчанию: 512). |
+| `merge_resolution` | INT | Да | от 256 до 8192 | Разрешение по длинной стороне финальной объединенной равнопромежуточной карты глубины (по умолчанию: 1920). |
+| `batch_size` | INT | Да | от 1 до 12 | Количество перспективных видов для обработки в каждом пакете инференса. Общее количество видов — 12 (по умолчанию: 4). |
+
+## Выходные параметры
+
+| Имя выходного параметра | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Словарь, содержащий оцененную геометрию: `points` (3D-облако точек), `depth` (карта глубины), `mask` (маска допустимой области) и `image` (входное изображение). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/tr.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/tr.md
new file mode 100644
index 000000000..1a5985c8f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/tr.md
@@ -0,0 +1,25 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/tr.md)
+
+# Genel Bakış
+
+Bu düğüm, eşdikdörtgen panorama görüntülerinde derinlik tahmini gerçekleştirir. Panaromayı 12 perspektif görüntüye bölerek, her bir görüntü üzerinde MoGe derinlik tahmin modelini çalıştırır ve ardından sonuçları orijinal panorama için tek ve eksiksiz bir derinlik haritasında birleştirir.
+
+# Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | Evet | | Çıkarım için kullanılacak MoGe modeli. |
+| `image` | GÖRÜNTÜ | Evet | | Eşdikdörtgen panorama görüntüsü (herhangi bir en-boy oranı). |
+| `resolution_level` | TAMSAYI | Evet | 0 ile 9 | Görüntü başına detay seviyesi. Daha yüksek değerler daha ayrıntılı derinlik haritaları üretir (varsayılan: 9). |
+| `split_resolution` | TAMSAYI | Evet | 256 ile 1024 | Panorama bölündükten sonra her bir perspektif görüntünün çözünürlüğü (varsayılan: 512). |
+| `merge_resolution` | TAMSAYI | Evet | 256 ile 8192 | Birleştirilmiş eşdikdörtgen derinlik haritasının uzun kenar çözünürlüğü (varsayılan: 1920). |
+| `batch_size` | TAMSAYI | Evet | 1 ile 12 | Her çıkarım grubunda işlenecek perspektif görüntü sayısı. Toplam görüntü sayısı 12'dir (varsayılan: 4). |
+
+# Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Tahmini geometriyi içeren bir sözlük: `points` (3B nokta bulutu), `depth` (derinlik haritası), `mask` (geçerli alan maskesi) ve `image` (giriş görüntüsü). |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/zh-TW.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/zh-TW.md
new file mode 100644
index 000000000..42932b652
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/zh-TW.md
@@ -0,0 +1,25 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/zh-TW.md)
+
+## 概述
+
+此節點對等距柱狀投影全景影像執行深度估計。其運作方式是將全景圖分割為 12 個透視視圖，對每個視圖執行 MoGe 深度估計模型，然後將結果合併回原始全景圖的單一完整深度圖。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | 是 | | 用於推論的 MoGe 模型。 |
+| `image` | IMAGE | 是 | | 等距柱狀投影全景影像（任何長寬比）。 |
+| `resolution_level` | INT | 是 | 0 至 9 | 每個視圖的細節等級。數值越高，深度圖越精細（預設值：9）。 |
+| `split_resolution` | INT | 是 | 256 至 1024 | 分割全景圖後，每個透視視圖的解析度（預設值：512）。 |
+| `merge_resolution` | INT | 是 | 256 至 8192 | 最終合併後等距柱狀投影深度圖的長邊解析度（預設值：1920）。 |
+| `batch_size` | INT | 是 | 1 至 12 | 每次推論批次中處理的透視視圖數量。視圖總數為 12（預設值：4）。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 包含估計幾何資訊的字典：`points`（3D 點雲）、`depth`（深度圖）、`mask`（有效區域遮罩）和 `image`（輸入影像）。 |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePanoramaInference/zh.md b/comfyui_embedded_docs/docs/MoGePanoramaInference/zh.md
new file mode 100644
index 000000000..1ae9da747
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePanoramaInference/zh.md
@@ -0,0 +1,25 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/zh.md)
+
+## ## 概述
+
+此节点对等距柱状投影全景图像执行深度估计。其工作原理是将全景图分割为 12 个透视视图，对每个视图运行 MoGe 深度估计模型，然后将结果合并回原始全景图的单一完整深度图。
+
+## ## 输入
+
+| 参数 | 数据类型 | 必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_model` | MOGE_MODEL | 是 | | 用于推理的 MoGe 模型。 |
+| `image` | IMAGE | 是 | | 等距柱状投影全景图像（任意宽高比）。 |
+| `resolution_level` | INT | 是 | 0 到 9 | 每个视图的细节级别。数值越大，生成的深度图越精细（默认值：9）。 |
+| `split_resolution` | INT | 是 | 256 到 1024 | 分割全景图后每个透视视图的分辨率（默认值：512）。 |
+| `merge_resolution` | INT | 是 | 256 到 8192 | 最终合并后等距柱状投影深度图的长边分辨率（默认值：1920）。 |
+| `batch_size` | INT | 是 | 1 到 12 | 每个推理批次中处理的透视视图数量。视图总数为 12（默认值：4）。 |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 包含估计几何信息的字典：`points`（3D 点云）、`depth`（深度图）、`mask`（有效区域掩码）和 `image`（输入图像）。 |
+
+---
+**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/ar.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ar.md
new file mode 100644
index 000000000..fb1d1b2b2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ar.md
@@ -0,0 +1,24 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ar.md)
+
+نظرة عامة
+
+يحوّل هذه العقدة خريطة نقاط MoGe إلى شبكة ثلاثية الأبعاد. تأخذ بيانات الهندسة المنتجة بواسطة عقدة تقدير العمق MoGe وتُثَلِّثها إلى شبكة تحتوي على إحداثيات UV وملمس اختياري.
+
+المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | نعم | غير متاح | بيانات هندسة MoGe التي تحتوي على خرائط النقاط والعمق، بالإضافة إلى الصورة المصدر اختياريًا. |
+| `batch_index` | INT | نعم | 0 إلى 4096 | أي صورة من هندسة MoGe المجمَّعة سيتم تحويلها إلى شبكة. تختلف أعداد الرؤوس لكل صورة، لذا لا يمكن دمج المجموعات في شبكة MESH واحدة (الافتراضي: 0). |
+| `decimation` | INT | نعم | 1 إلى 8 | خطوة الرأس؛ 1 = الدقة الكاملة (الافتراضي: 1). |
+| `discontinuity_threshold` | FLOAT | نعم | 0.0 إلى 1.0 | تجاهل البكسلات التي يتجاوز مدى عمقها في نافذة 3×3 هذه النسبة. 0 = إيقاف (الافتراضي: 0.04). |
+| `texture` | BOOLEAN | نعم | صحيح/خطأ | حمل الصورة المصدر كملمس للون الأساسي (الافتراضي: صحيح). |
+
+المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `MESH` | MESH | شبكة ثلاثية الأبعاد تحتوي على رؤوس وأوجه وإحداثيات UV وملمس اختياري من الصورة المصدر. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md
new file mode 100644
index 000000000..3c0bc9da0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md
@@ -0,0 +1,24 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md)
+
+## Overview
+
+This node converts a MoGe point map into a 3D mesh. It takes the geometry data produced by a MoGe depth estimation node and triangulates it into a mesh with UV coordinates and an optional texture.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Yes | N/A | The MoGe geometry data containing point maps, depth, and optionally the source image. |
+| `batch_index` | INT | Yes | 0 to 4096 | Which image of a batched MoGe geometry to mesh. Per-image vertex counts differ, so batches can't be stacked into a single MESH (default: 0). |
+| `decimation` | INT | Yes | 1 to 8 | Vertex stride; 1 = full resolution (default: 1). |
+| `discontinuity_threshold` | FLOAT | Yes | 0.0 to 1.0 | Drop pixels whose 3x3 depth span exceeds this fraction. 0 = off (default: 0.04). |
+| `texture` | BOOLEAN | Yes | True/False | Carry the source image through as the baseColor texture (default: True). |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `MESH` | MESH | A 3D mesh with vertices, faces, UV coordinates, and an optional texture from the source image. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/es.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/es.md
new file mode 100644
index 000000000..aa4194cb8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/es.md
@@ -0,0 +1,24 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/es.md)
+
+## Descripción general
+
+Este nodo convierte un mapa de puntos MoGe en una malla 3D. Toma los datos geométricos producidos por un nodo de estimación de profundidad MoGe y los triangula en una malla con coordenadas UV y una textura opcional.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Sí | N/A | Datos geométricos MoGe que contienen mapas de puntos, profundidad y, opcionalmente, la imagen de origen. |
+| `batch_index` | INT | Sí | 0 a 4096 | Índice de la imagen dentro de un lote de geometría MoGe para mallar. Los recuentos de vértices por imagen difieren, por lo que los lotes no pueden apilarse en una sola MESH (predeterminado: 0). |
+| `decimation` | INT | Sí | 1 a 8 | Paso de vértices; 1 = resolución completa (predeterminado: 1). |
+| `discontinuity_threshold` | FLOAT | Sí | 0.0 a 1.0 | Descarta píxeles cuyo rango de profundidad 3x3 supere esta fracción. 0 = desactivado (predeterminado: 0.04). |
+| `texture` | BOOLEAN | Sí | Verdadero/Falso | Transfiere la imagen de origen como textura de color base (predeterminado: Verdadero). |
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `MESH` | MESH | Malla 3D con vértices, caras, coordenadas UV y una textura opcional proveniente de la imagen de origen. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/fa.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/fa.md
new file mode 100644
index 000000000..8085dc1a5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/fa.md
@@ -0,0 +1,24 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/fa.md)
+
+## نمای کلی
+
+این گره یک نقشه نقطهای MoGe را به مش سهبعدی تبدیل میکند. دادههای هندسی تولیدشده توسط گره تخمین عمق MoGe را دریافت کرده و آن را به یک مش با مختصات UV و بافت اختیاری تبدیل میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | اجباری | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | بله | نامعتبر | دادههای هندسی MoGe شامل نقشههای نقطهای، عمق و بهصورت اختیاری تصویر منبع. |
+| `batch_index` | INT | بله | 0 تا 4096 | مشخص میکند کدام تصویر از هندسه MoGe دستهای به مش تبدیل شود. تعداد رئوس هر تصویر متفاوت است، بنابراین دستهها را نمیتوان در یک MESH واحد ترکیب کرد (پیشفرض: 0). |
+| `decimation` | INT | بله | 1 تا 8 | گام رئوس؛ 1 = وضوح کامل (پیشفرض: 1). |
+| `discontinuity_threshold` | FLOAT | بله | 0.0 تا 1.0 | پیکسلهایی که گستره عمق 3×3 آنها بیش از این کسر باشد حذف میشوند. 0 = غیرفعال (پیشفرض: 0.04). |
+| `texture` | BOOLEAN | بله | True/False | تصویر منبع را بهعنوان بافت baseColor منتقل میکند (پیشفرض: True). |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `MESH` | MESH | یک مش سهبعدی شامل رئوس، وجوه، مختصات UV و بافت اختیاری از تصویر منبع. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/fr.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/fr.md
new file mode 100644
index 000000000..81bc9cd79
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/fr.md
@@ -0,0 +1,28 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/fr.md)
+
+Voici la traduction de la documentation technique du nœud ComfyUI, en respectant toutes les règles spécifiées :
+
+---
+
+## Aperçu
+
+Ce nœud convertit une carte de points MoGe en un maillage 3D. Il prend les données géométriques produites par un nœud d'estimation de profondeur MoGe et les triangule en un maillage avec des coordonnées UV et une texture optionnelle.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Oui | N/D | Les données géométriques MoGe contenant les cartes de points, la profondeur et éventuellement l'image source. |
+| `batch_index` | INT | Oui | 0 à 4096 | Quelle image d'une géométrie MoGe par lots transformer en maillage. Les nombres de sommets par image diffèrent, donc les lots ne peuvent pas être empilés en un seul MESH (par défaut : 0). |
+| `décimation` | INT | Oui | 1 à 8 | Pas de sommet ; 1 = pleine résolution (par défaut : 1). |
+| `seuil_de_discontinuité` | FLOAT | Oui | 0.0 à 1.0 | Supprime les pixels dont l'étendue de profondeur 3x3 dépasse cette fraction. 0 = désactivé (par défaut : 0.04). |
+| `texture` | BOOLEAN | Oui | Vrai/Faux | Transmet l'image source comme texture baseColor (par défaut : Vrai). |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `MESH` | MESH | Un maillage 3D avec sommets, faces, coordonnées UV et une texture optionnelle provenant de l'image source. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md
new file mode 100644
index 000000000..914a742ec
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md
@@ -0,0 +1,26 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+このノードは、MoGe ポイントマップを 3D メッシュに変換します。MoGe 深度推定ノードが生成したジオメトリデータを受け取り、それを UV 座標とオプションのテクスチャを持つメッシュに三角形分割します。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | はい | N/A | ポイントマップ、深度、およびオプションで元画像を含む MoGe ジオメトリデータ。 |
+| `batch_index` | INT | はい | 0 から 4096 | バッチ処理された MoGe ジオメトリのうち、メッシュ化する画像を指定します。画像ごとに頂点数が異なるため、バッチを単一の MESH に積み重ねることはできません（デフォルト: 0）。 |
+| `decimation` | INT | はい | 1 から 8 | 頂点の間引き率。1 はフル解像度（デフォルト: 1）。 |
+| `discontinuity_threshold` | FLOAT | はい | 0.0 から 1.0 | 3x3 の深度範囲がこの割合を超えるピクセルを除外します。0 は無効（デフォルト: 0.04）。 |
+| `texture` | BOOLEAN | はい | True/False | 元画像をベースカラーテクスチャとして保持するかどうか（デフォルト: True）。 |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `MESH` | MESH | 頂点、面、UV 座標、および元画像からのオプションのテクスチャを持つ 3D メッシュ。 |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/ko.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ko.md
new file mode 100644
index 000000000..ddff76ccb
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ko.md
@@ -0,0 +1,24 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ko.md)
+
+## 개요
+
+이 노드는 MoGe 포인트 맵을 3D 메시로 변환합니다. MoGe 깊이 추정 노드에서 생성된 형상 데이터를 가져와 UV 좌표와 선택적 텍스처가 포함된 메시로 삼각 측량합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 예 | 해당 없음 | 포인트 맵, 깊이, 그리고 선택적으로 원본 이미지를 포함하는 MoGe 형상 데이터입니다. |
+| `batch_index` | INT | 예 | 0 ~ 4096 | 배치 처리된 MoGe 형상 중 메시로 변환할 이미지를 지정합니다. 이미지별 정점 개수가 다르므로 배치를 단일 MESH로 쌓을 수 없습니다(기본값: 0). |
+| `decimation` | INT | 예 | 1 ~ 8 | 정점 간격입니다. 1은 전체 해상도를 의미합니다(기본값: 1). |
+| `discontinuity_threshold` | FLOAT | 예 | 0.0 ~ 1.0 | 3x3 깊이 범위가 이 비율을 초과하는 픽셀을 제거합니다. 0은 비활성화를 의미합니다(기본값: 0.04). |
+| `texture` | BOOLEAN | 예 | True/False | 원본 이미지를 baseColor 텍스처로 전달합니다(기본값: True). |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `MESH` | MESH | 정점, 면, UV 좌표, 그리고 원본 이미지의 선택적 텍스처가 포함된 3D 메시입니다. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/pt-BR.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/pt-BR.md
new file mode 100644
index 000000000..051be4b10
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/pt-BR.md
@@ -0,0 +1,24 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/pt-BR.md)
+
+# Visão Geral
+
+Este nó converte um mapa de pontos MoGe em uma malha 3D. Ele recebe os dados geométricos produzidos por um nó de estimativa de profundidade MoGe e os triangula em uma malha com coordenadas UV e uma textura opcional.
+
+# Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Intervalo | Descrição |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Sim | N/A | Os dados geométricos MoGe contendo mapas de pontos, profundidade e, opcionalmente, a imagem de origem. |
+| `batch_index` | INT | Sim | 0 a 4096 | Qual imagem de uma geometria MoGe em lote será transformada em malha. As contagens de vértices por imagem diferem, portanto os lotes não podem ser empilhados em uma única MESH (padrão: 0). |
+| `decimation` | INT | Sim | 1 a 8 | Passo do vértice; 1 = resolução total (padrão: 1). |
+| `discontinuity_threshold` | FLOAT | Sim | 0.0 a 1.0 | Descarta pixels cuja variação de profundidade 3x3 exceda esta fração. 0 = desativado (padrão: 0.04). |
+| `texture` | BOOLEAN | Sim | Verdadeiro/Falso | Transmite a imagem de origem como textura baseColor (padrão: Verdadeiro). |
+
+# Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|-------------|-----------|-------------|
+| `MESH` | MESH | Uma malha 3D com vértices, faces, coordenadas UV e uma textura opcional da imagem de origem. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/ru.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ru.md
new file mode 100644
index 000000000..f8978f183
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/ru.md
@@ -0,0 +1,24 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ru.md)
+
+## Обзор
+
+Этот узел преобразует карту точек MoGe в трехмерную сетку. Он принимает геометрические данные, созданные узлом оценки глубины MoGe, и триангулирует их в сетку с UV-координатами и опциональной текстурой.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Да | Н/Д | Геометрические данные MoGe, содержащие карты точек, глубину и опционально исходное изображение. |
+| `batch_index` | INT | Да | от 0 до 4096 | Индекс изображения в пакетной геометрии MoGe для преобразования в сетку. Количество вершин для каждого изображения различается, поэтому пакеты нельзя объединить в одну сетку MESH (по умолчанию: 0). |
+| `decimation` | INT | Да | от 1 до 8 | Шаг вершин; 1 = полное разрешение (по умолчанию: 1). |
+| `discontinuity_threshold` | FLOAT | Да | от 0.0 до 1.0 | Отбрасывает пиксели, чей разброс глубины в окрестности 3x3 превышает эту долю. 0 = отключено (по умолчанию: 0.04). |
+| `texture` | BOOLEAN | Да | True/False | Передает исходное изображение в качестве текстуры baseColor (по умолчанию: True). |
+
+## Выходные данные
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `MESH` | MESH | Трехмерная сетка с вершинами, гранями, UV-координатами и опциональной текстурой из исходного изображения. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/tr.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/tr.md
new file mode 100644
index 000000000..14cee31fc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/tr.md
@@ -0,0 +1,24 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, bir MoGe nokta haritasını 3B bir ağa dönüştürür. Bir MoGe derinlik tahmin düğümü tarafından üretilen geometri verilerini alır ve bunu UV koordinatları ve isteğe bağlı bir doku içeren bir ağ halinde üçgenler.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Evet | Yok | Nokta haritaları, derinlik ve isteğe bağlı olarak kaynak görüntüyü içeren MoGe geometri verisi. |
+| `batch_index` | INT | Evet | 0 ila 4096 | Bir toplu MoGe geometrisindeki hangi görüntünün ağ haline getirileceği. Görüntü başına köşe sayıları farklılık gösterir, bu nedenle toplu işler tek bir MESH içinde birleştirilemez (varsayılan: 0). |
+| `decimation` | INT | Evet | 1 ila 8 | Köşe adımı; 1 = tam çözünürlük (varsayılan: 1). |
+| `discontinuity_threshold` | FLOAT | Evet | 0.0 ila 1.0 | 3x3 derinlik aralığı bu oranı aşan pikselleri atar. 0 = kapalı (varsayılan: 0.04). |
+| `texture` | BOOLEAN | Evet | Doğru/Yanlış | Kaynak görüntüyü baseColor dokusu olarak taşır (varsayılan: Doğru). |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|-------------|
+| `MESH` | MESH | Köşeler, yüzeyler, UV koordinatları ve kaynak görüntüden alınan isteğe bağlı bir doku içeren 3B bir ağ. |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh-TW.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh-TW.md
new file mode 100644
index 000000000..2470e0c1a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh-TW.md
@@ -0,0 +1,24 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh-TW.md)
+
+## 概述
+
+此節點將 MoGe 點圖轉換為 3D 網格。它接收 MoGe 深度估計節點產生的幾何數據，並將其三角化為帶有 UV 座標和可選紋理的網格。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 是 | 不適用 | 包含點圖、深度以及可選原始影像的 MoGe 幾何數據。 |
+| `batch_index` | INT | 是 | 0 至 4096 | 指定批次 MoGe 幾何數據中的哪一張影像要轉換為網格。每張影像的頂點數量不同，因此批次無法合併為單一 MESH（預設值：0）。 |
+| `decimation` | INT | 是 | 1 至 8 | 頂點步長；1 = 完整解析度（預設值：1）。 |
+| `discontinuity_threshold` | FLOAT | 是 | 0.0 至 1.0 | 丟棄 3x3 深度範圍超過此比例的像素。0 = 關閉（預設值：0.04）。 |
+| `texture` | BOOLEAN | 是 | True/False | 將原始影像作為 baseColor 紋理傳遞（預設值：True）。 |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `MESH` | MESH | 一個包含頂點、面、UV 座標以及來自原始影像的可選紋理的 3D 網格。 |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh.md b/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh.md
new file mode 100644
index 000000000..8ca467db9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh.md
@@ -0,0 +1,24 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh.md)
+
+## 概述
+
+此节点将 MoGe 点图转换为 3D 网格。它接收 MoGe 深度估计节点生成的几何数据，并将其三角化为带有 UV 坐标和可选纹理的网格。
+
+## 输入
+
+| 参数 | 数据类型 | 是否必需 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 是 | 不适用 | 包含点图、深度以及可选源图像的 MoGe 几何数据。 |
+| `batch_index` | INT | 是 | 0 至 4096 | 指定批处理 MoGe 几何数据中要网格化的图像索引。由于每张图像的顶点数量不同，批次无法合并为单个 MESH（默认值：0）。 |
+| `decimation` | INT | 是 | 1 至 8 | 顶点步长；1 表示全分辨率（默认值：1）。 |
+| `discontinuity_threshold` | FLOAT | 是 | 0.0 至 1.0 | 丢弃 3x3 深度跨度超过此比例的像素。0 表示关闭（默认值：0.04）。 |
+| `texture` | BOOLEAN | 是 | True/False | 将源图像作为 baseColor 纹理传递（默认值：True）。 |
+
+## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `MESH` | MESH | 包含顶点、面、UV 坐标以及可选源图像纹理的 3D 网格。 |
+
+---
+**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/ar.md b/comfyui_embedded_docs/docs/MoGeRender/ar.md
new file mode 100644
index 000000000..dedc6ca4e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/ar.md
@@ -0,0 +1,21 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ar.md)
+
+# نظرة عامة
+
+تأخذ هذه العقدة حزمة MOGE_GEOMETRY (المنتجة بواسطة عقدة تقدير العمق/العمودي MoGe) وتقوم بعرضها بتنسيق صورة قياسي. يمكنك اختيار إخراج خريطة عمق، أو خريطة عمق ملونة، أو خريطة عمودي، أو قناع.
+
+# المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | نعم | غير متاح | حزمة بيانات الهندسة من عقدة تقدير MoGe. |
+| `output` | COMBO | نعم | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | نوع الصورة المراد عرضها من بيانات الهندسة. يتحكم DirectX مقابل OpenGL في اصطلاح القناة الخضراء لخريطة العمودي. DirectX: الأخضر = -Y للأسفل (Unreal). OpenGL: الأخضر = +Y للأعلى (Blender, Substance, Unity, glTF). (الافتراضي: "depth") |
+
+# المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | الصورة المعروضة كمجموعة من موترات RGB. يعتمد المحتوى على وضع `output`: خريطة عمق بتدرج رمادي، أو خريطة عمق ملونة، أو خريطة عمودي، أو قناع. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/en.md b/comfyui_embedded_docs/docs/MoGeRender/en.md
new file mode 100644
index 000000000..8d88feb41
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/en.md
@@ -0,0 +1,21 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/en.md)
+
+## Overview
+
+This node takes a MOGE_GEOMETRY packet (produced by a MoGe depth/normal estimation node) and renders it into a standard image format. You can choose to output a depth map, a colored depth map, a normal map, or a mask.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Yes | N/A | The geometry data packet from a MoGe estimation node. |
+| `output` | COMBO | Yes | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | The type of image to render from the geometry data. DirectX vs OpenGL controls the normal-map green-channel convention. DirectX: green = -Y down (Unreal). OpenGL: green = +Y up (Blender, Substance, Unity, glTF). (default: "depth") |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | The rendered image as a batch of RGB tensors. The content depends on the `output` mode: a grayscale depth map, a colored depth map, a normal map, or a mask. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/es.md b/comfyui_embedded_docs/docs/MoGeRender/es.md
new file mode 100644
index 000000000..99f74a772
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/es.md
@@ -0,0 +1,21 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/es.md)
+
+# Descripción General
+
+Este nodo toma un paquete MOGE_GEOMETRY (generado por un nodo de estimación de profundidad/normales MoGe) y lo renderiza en un formato de imagen estándar. Puedes elegir generar un mapa de profundidad, un mapa de profundidad coloreado, un mapa de normales o una máscara.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Sí | N/A | El paquete de datos geométricos proveniente de un nodo de estimación MoGe. |
+| `output` | COMBO | Sí | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | El tipo de imagen a renderizar a partir de los datos geométricos. DirectX vs OpenGL controla la convención del canal verde del mapa de normales. DirectX: verde = -Y hacia abajo (Unreal). OpenGL: verde = +Y hacia arriba (Blender, Substance, Unity, glTF). (valor predeterminado: "depth") |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `IMAGE` | IMAGE | La imagen renderizada como un lote de tensores RGB. El contenido depende del modo de `output`: un mapa de profundidad en escala de grises, un mapa de profundidad coloreado, un mapa de normales o una máscara. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/fa.md b/comfyui_embedded_docs/docs/MoGeRender/fa.md
new file mode 100644
index 000000000..3eba961c9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/fa.md
@@ -0,0 +1,21 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/fa.md)
+
+## نمای کلی
+
+این گره یک بسته MOGE_GEOMETRY (تولیدشده توسط گره تخمین عمق/نرمال MoGe) را دریافت کرده و آن را به فرمت تصویر استاندارد رندر میکند. میتوانید انتخاب کنید که خروجی به صورت نقشه عمق، نقشه عمق رنگی، نقشه نرمال یا ماسک باشد.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|---------|----------|-------|--------|----------|
+| `moge_geometry` | MOGE_GEOMETRY | بله | نامشخص | بسته دادههای هندسی از گره تخمین MoGe. |
+| `output` | COMBO | بله | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | نوع تصویری که از دادههای هندسی رندر میشود. DirectX در مقابل OpenGL قرارداد کانال سبز نقشه نرمال را کنترل میکند. DirectX: سبز = -Y به سمت پایین (Unreal). OpenGL: سبز = +Y به سمت بالا (Blender, Substance, Unity, glTF). (پیشفرض: "depth") |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `IMAGE` | IMAGE | تصویر رندر شده به صورت دستهای از تنسورهای RGB. محتوا به حالت `output` بستگی دارد: نقشه عمق خاکستری، نقشه عمق رنگی، نقشه نرمال یا ماسک. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/fr.md b/comfyui_embedded_docs/docs/MoGeRender/fr.md
new file mode 100644
index 000000000..2bfb15aa0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/fr.md
@@ -0,0 +1,23 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/fr.md)
+
+Voici la traduction en français de la documentation du nœud MoGeRender, conformément à vos règles :
+
+## Aperçu
+
+Ce nœud prend un paquet MOGE_GEOMETRY (produit par un nœud d'estimation de profondeur/normale MoGe) et le restitue dans un format d'image standard. Vous pouvez choisir de générer une carte de profondeur, une carte de profondeur colorée, une carte de normales ou un masque.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Oui | N/D | Le paquet de données géométriques provenant d'un nœud d'estimation MoGe. |
+| `sortie` | COMBO | Oui | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | Le type d'image à générer à partir des données géométriques. DirectX vs OpenGL contrôle la convention du canal vert de la carte de normales. DirectX : vert = -Y vers le bas (Unreal). OpenGL : vert = +Y vers le haut (Blender, Substance, Unity, glTF). (par défaut : "depth") |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `IMAGE` | IMAGE | L'image générée sous forme d'un lot de tenseurs RVB. Le contenu dépend du mode `sortie` : une carte de profondeur en niveaux de gris, une carte de profondeur colorée, une carte de normales ou un masque. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/ja.md b/comfyui_embedded_docs/docs/MoGeRender/ja.md
new file mode 100644
index 000000000..46cee17fc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/ja.md
@@ -0,0 +1,23 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+このノードは、MoGe深度/法線推定ノードによって生成された `MOGE_GEOMETRY` パケットを受け取り、それを標準的な画像形式にレンダリングします。深度マップ、カラー深度マップ、法線マップ、またはマスクのいずれかを出力として選択できます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | はい | なし | MoGe推定ノードからのジオメトリデータパケット。 |
+| `output` | COMBO | はい | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | ジオメトリデータからレンダリングする画像の種類。DirectXとOpenGLは法線マップの緑チャンネルの規則を制御します。DirectX：緑 = -Y下向き（Unreal）。OpenGL：緑 = +Y上向き（Blender、Substance、Unity、glTF）。（デフォルト："depth"） |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | RGBテンソルのバッチとしてレンダリングされた画像。内容は `output` モードに依存します：グレースケール深度マップ、カラー深度マップ、法線マップ、またはマスク。
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/ko.md b/comfyui_embedded_docs/docs/MoGeRender/ko.md
new file mode 100644
index 000000000..8b88e6844
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/ko.md
@@ -0,0 +1,21 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ko.md)
+
+# 개요
+
+이 노드는 MOGE_GEOMETRY 패킷(MoGe 깊이/법선 추정 노드에서 생성됨)을 받아 표준 이미지 형식으로 렌더링합니다. 깊이 맵, 컬러 깊이 맵, 법선 맵 또는 마스크 중에서 출력을 선택할 수 있습니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 예 | 해당 없음 | MoGe 추정 노드의 지오메트리 데이터 패킷입니다. |
+| `output` | COMBO | 예 | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | 지오메트리 데이터에서 렌더링할 이미지 유형입니다. DirectX와 OpenGL은 법선 맵의 녹색 채널 규칙을 제어합니다. DirectX: 녹색 = -Y 아래 방향(Unreal). OpenGL: 녹색 = +Y 위 방향(Blender, Substance, Unity, glTF). (기본값: "depth") |
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | RGB 텐서 배치로 렌더링된 이미지입니다. 내용은 `output` 모드에 따라 달라집니다: 회색조 깊이 맵, 컬러 깊이 맵, 법선 맵 또는 마스크입니다. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/pt-BR.md b/comfyui_embedded_docs/docs/MoGeRender/pt-BR.md
new file mode 100644
index 000000000..b690478c0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/pt-BR.md
@@ -0,0 +1,23 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/en.md)
+
+## Visão Geral
+
+Este nó recebe um pacote MOGE_GEOMETRY (produzido por um nó de estimativa de profundidade/normal MoGe) e o renderiza em um formato de imagem padrão. Você pode optar por gerar um mapa de profundidade, um mapa de profundidade colorido, um mapa normal ou uma máscara.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `moge_geometry` | MOGE_GEOMETRY | Sim | N/A | O pacote de dados geométricos de um nó de estimativa MoGe. |
+| `output` | COMBO | Sim | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | O tipo de imagem a ser renderizada a partir dos dados geométricos. DirectX vs OpenGL controla a convenção do canal verde do mapa normal. DirectX: verde = -Y para baixo (Unreal). OpenGL: verde = +Y para cima (Blender, Substance, Unity, glTF). (padrão: "depth") |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `IMAGE` | IMAGE | A imagem renderizada como um lote de tensores RGB. O conteúdo depende do modo de `output`: um mapa de profundidade em escala de cinza, um mapa de profundidade colorido, um mapa normal ou uma máscara. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/ru.md b/comfyui_embedded_docs/docs/MoGeRender/ru.md
new file mode 100644
index 000000000..146832094
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/ru.md
@@ -0,0 +1,21 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ru.md)
+
+## Обзор
+
+Этот узел принимает пакет MOGE_GEOMETRY (созданный узлом оценки глубины/нормалей MoGe) и преобразует его в стандартный формат изображения. Вы можете вывести карту глубины, цветную карту глубины, карту нормалей или маску.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `moge_geometry` | MOGE_GEOMETRY | Да | Н/Д | Пакет геометрических данных от узла оценки MoGe. |
+| `output` | COMBO | Да | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | Тип изображения для рендеринга из геометрических данных. DirectX и OpenGL управляют соглашением о зеленом канале карты нормалей. DirectX: зеленый = -Y вниз (Unreal). OpenGL: зеленый = +Y вверх (Blender, Substance, Unity, glTF). (по умолчанию: "depth") |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `IMAGE` | IMAGE | Отрендеренное изображение в виде пакета RGB-тензоров. Содержимое зависит от режима `output`: полутоновая карта глубины, цветная карта глубины, карта нормалей или маска. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/tr.md b/comfyui_embedded_docs/docs/MoGeRender/tr.md
new file mode 100644
index 000000000..16cad1aed
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/tr.md
@@ -0,0 +1,21 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, bir MOGE_GEOMETRY paketini (MoGe derinlik/normal tahmin düğümü tarafından üretilir) alır ve standart bir görüntü formatına dönüştürür. Derinlik haritası, renklendirilmiş derinlik haritası, normal haritası veya maske çıktısı almayı seçebilirsiniz.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | Evet | Yok | MoGe tahmin düğümünden gelen geometri veri paketi. |
+| `output` | COMBO | Evet | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | Geometri verilerinden oluşturulacak görüntü türü. DirectX ve OpenGL, normal haritası yeşil kanal kuralını belirler. DirectX: yeşil = -Y aşağı (Unreal). OpenGL: yeşil = +Y yukarı (Blender, Substance, Unity, glTF). (varsayılan: "depth") |
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | RGB tensörleri yığını olarak oluşturulmuş görüntü. İçerik, `output` moduna bağlıdır: gri tonlamalı derinlik haritası, renklendirilmiş derinlik haritası, normal haritası veya maske. |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/zh-TW.md b/comfyui_embedded_docs/docs/MoGeRender/zh-TW.md
new file mode 100644
index 000000000..ca47335ee
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/zh-TW.md
@@ -0,0 +1,21 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/zh-TW.md)
+
+## 概述
+
+此節點接收一個 MOGE_GEOMETRY 資料包（由 MoGe 深度/法線估算節點產生），並將其渲染為標準影像格式。您可以選擇輸出深度圖、彩色深度圖、法線圖或遮罩。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 是 | 不適用 | 來自 MoGe 估算節點的幾何資料包。 |
+| `output` | COMBO | 是 | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | 要從幾何資料渲染的影像類型。DirectX 與 OpenGL 控制法線貼圖的綠色通道慣例。DirectX：綠色 = -Y 向下（Unreal）。OpenGL：綠色 = +Y 向上（Blender、Substance、Unity、glTF）。（預設值："depth"） |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | 渲染後的影像，以 RGB 張量批次形式呈現。內容取決於 `output` 模式：灰階深度圖、彩色深度圖、法線圖或遮罩。 |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/MoGeRender/zh.md b/comfyui_embedded_docs/docs/MoGeRender/zh.md
new file mode 100644
index 000000000..2411ae3cd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/MoGeRender/zh.md
@@ -0,0 +1,21 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/zh.md)
+
+# 概述
+
+此节点接收一个 MOGE_GEOMETRY 数据包（由 MoGe 深度/法线估计节点生成），并将其渲染为标准图像格式。您可以选择输出深度图、彩色深度图、法线图或遮罩。
+
+# 输入
+
+| 参数 | 数据类型 | 必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `moge_geometry` | MOGE_GEOMETRY | 是 | 无 | 来自 MoGe 估计节点的几何数据包。 |
+| `output` | COMBO | 是 | `"depth"` `"depth_colored"` `"normal_opengl"` `"normal_directx"` `"mask"` | 从几何数据渲染的图像类型。DirectX 与 OpenGL 控制法线贴图的绿色通道约定。DirectX：绿色 = -Y 向下（Unreal）。OpenGL：绿色 = +Y 向上（Blender、Substance、Unity、glTF）。（默认值："depth"） |
+
+# 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `IMAGE` | IMAGE | 渲染后的图像，以 RGB 张量批次形式呈现。内容取决于 `output` 模式：灰度深度图、彩色深度图、法线图或遮罩。 |
+
+---
+**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/ar.md b/comfyui_embedded_docs/docs/ModelNoiseScale/ar.md
new file mode 100644
index 000000000..5d12ec480
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/ar.md
@@ -0,0 +1,21 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ar.md)
+
+## نظرة عامة
+
+تضبط هذه العقدة مقياس الضوضاء المستخدم أثناء أخذ عينات النموذج. تتيح لك تعيين قيمة محددة لمقياس الضوضاء، والتي تتحكم في مقدار الضوضاء المطبقة على عملية أخذ عينات النموذج.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|---------|--------------|--------|---------|-------|
+| `النموذج` | MODEL | نعم | - | النموذج الذي سيتم تطبيق تعديل مقياس الضوضاء عليه. |
+| `مقياس الضوضاء` | FLOAT | نعم | 0.0 إلى 64.0 (الخطوة: 0.01) | مقياس ضوضاء التدريب المطلق. على سبيل المثال HiDream-O1 الأساسي: 8.0، المطور: 7.5. (الافتراضي: 1.0) |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|------------|--------------|-------|
+| `MODEL` | MODEL | النموذج المعدل مع تطبيق مقياس الضوضاء الجديد. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/en.md b/comfyui_embedded_docs/docs/ModelNoiseScale/en.md
new file mode 100644
index 000000000..ff4b32cae
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/en.md
@@ -0,0 +1,21 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/en.md)
+
+## Overview
+
+This node adjusts the noise scale used during model sampling. It allows you to set a specific noise scale value, which controls the amount of noise applied to the model's sampling process.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | Yes | - | The model to apply the noise scale adjustment to. |
+| `noise_scale` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Absolute training noise scale. For example HiDream-O1 base: 8.0, dev: 7.5. (default: 1.0) |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `MODEL` | MODEL | The modified model with the new noise scale applied. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/es.md b/comfyui_embedded_docs/docs/ModelNoiseScale/es.md
new file mode 100644
index 000000000..477b2175e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/es.md
@@ -0,0 +1,21 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/es.md)
+
+# Descripción General
+
+Este nodo ajusta la escala de ruido utilizada durante el muestreo del modelo. Permite establecer un valor específico de escala de ruido, que controla la cantidad de ruido aplicada al proceso de muestreo del modelo.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|---------------|-------------|-------|-------------|
+| `modelo` | MODEL | Sí | - | El modelo al que se le aplicará el ajuste de escala de ruido. |
+| `escala_ruido` | FLOAT | Sí | 0.0 a 64.0 (paso: 0.01) | Escala de ruido de entrenamiento absoluta. Por ejemplo, HiDream-O1 base: 8.0, dev: 7.5. (predeterminado: 1.0) |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|---------------|-------------|
+| `MODEL` | MODEL | El modelo modificado con la nueva escala de ruido aplicada. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/fa.md b/comfyui_embedded_docs/docs/ModelNoiseScale/fa.md
new file mode 100644
index 000000000..75c622135
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/fa.md
@@ -0,0 +1,21 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/fa.md)
+
+## نمای کلی
+
+این گره مقیاس نویز مورد استفاده در نمونهبرداری مدل را تنظیم میکند. به شما امکان میدهد مقدار مشخصی برای مقیاس نویز تعیین کنید که میزان نویز اعمالشده به فرآیند نمونهبرداری مدل را کنترل میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|---------|----------|-------|--------|---------|
+| `مدل` | MODEL | بله | - | مدلی که تنظیم مقیاس نویز روی آن اعمال میشود. |
+| `مقیاس نویز` | FLOAT | بله | 0.0 تا 64.0 (گام: 0.01) | مقیاس نویز مطلق آموزش. بهعنوان مثال HiDream-O1 پایه: 8.0، توسعه: 7.5. (پیشفرض: 1.0) |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `MODEL` | MODEL | مدل تغییر یافته با مقیاس نویز جدید اعمالشده. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/fr.md b/comfyui_embedded_docs/docs/ModelNoiseScale/fr.md
new file mode 100644
index 000000000..5ec5b9d1f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/fr.md
@@ -0,0 +1,25 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/fr.md)
+
+Voici la traduction de la documentation technique du nœud ComfyUI, en respectant vos règles de formatage et de terminologie.
+
+---
+
+## Aperçu
+
+Ce nœud ajuste l'échelle de bruit utilisée lors de l'échantillonnage du modèle. Il permet de définir une valeur d'échelle de bruit spécifique, qui contrôle la quantité de bruit appliquée au processus d'échantillonnage du modèle.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `modèle` | MODEL | Oui | - | Le modèle auquel appliquer l'ajustement de l'échelle de bruit. |
+| `échelle_bruit` | FLOAT | Oui | 0.0 à 64.0 (pas : 0.01) | Échelle de bruit d'entraînement absolue. Par exemple, pour HiDream-O1 : base : 8.0, dev : 7.5. (par défaut : 1.0) |
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `MODEL` | MODEL | Le modèle modifié avec la nouvelle échelle de bruit appliquée. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md b/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md
new file mode 100644
index 000000000..4d890579e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md
@@ -0,0 +1,23 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+このノードは、モデルサンプリング時に使用されるノイズスケールを調整します。特定のノイズスケール値を設定することで、モデルのサンプリングプロセスに適用されるノイズの量を制御できます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `モデル` | MODEL | はい | - | ノイズスケール調整を適用するモデルです。 |
+| `ノイズスケール` | FLOAT | はい | 0.0 ～ 64.0（ステップ: 0.01） | 絶対的なトレーニングノイズスケールです。例：HiDream-O1 base: 8.0、dev: 7.5（デフォルト: 1.0） |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `MODEL` | MODEL | 新しいノイズスケールが適用された変更済みモデルです。 |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/ko.md b/comfyui_embedded_docs/docs/ModelNoiseScale/ko.md
new file mode 100644
index 000000000..e5ef2eac9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/ko.md
@@ -0,0 +1,21 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ko.md)
+
+## 개요
+
+이 노드는 모델 샘플링 중 사용되는 노이즈 스케일을 조정합니다. 특정 노이즈 스케일 값을 설정하여 모델의 샘플링 과정에 적용되는 노이즈 양을 제어할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | 예 | - | 노이즈 스케일 조정을 적용할 모델입니다. |
+| `noise_scale` | FLOAT | 예 | 0.0 ~ 64.0 (단위: 0.01) | 절대 훈련 노이즈 스케일입니다. 예를 들어 HiDream-O1 기본: 8.0, 개발: 7.5입니다. (기본값: 1.0) |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `MODEL` | MODEL | 새 노이즈 스케일이 적용된 수정된 모델입니다. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/pt-BR.md b/comfyui_embedded_docs/docs/ModelNoiseScale/pt-BR.md
new file mode 100644
index 000000000..fdb0c1a44
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/pt-BR.md
@@ -0,0 +1,23 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/en.md)
+
+## Visão Geral
+
+Este nó ajusta a escala de ruído usada durante a amostragem do modelo. Ele permite definir um valor específico para a escala de ruído, que controla a quantidade de ruído aplicada ao processo de amostragem do modelo.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `modelo` | MODEL | Sim | - | O modelo ao qual será aplicado o ajuste da escala de ruído. |
+| `escala_de_ruído` | FLOAT | Sim | 0.0 a 64.0 (passo: 0.01) | Escala de ruído absoluta do treinamento. Por exemplo, HiDream-O1 base: 8.0, dev: 7.5. (padrão: 1.0) |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `MODEL` | MODEL | O modelo modificado com a nova escala de ruído aplicada. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/ru.md b/comfyui_embedded_docs/docs/ModelNoiseScale/ru.md
new file mode 100644
index 000000000..88bf0461e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/ru.md
@@ -0,0 +1,21 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ru.md)
+
+## Обзор
+
+Этот узел регулирует масштаб шума, используемый во время сэмплирования модели. Он позволяет задать конкретное значение масштаба шума, которое контролирует количество шума, применяемого в процессе сэмплирования модели.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `модель` | MODEL | Да | - | Модель, к которой применяется настройка масштаба шума. |
+| `масштаб_шума` | FLOAT | Да | от 0.0 до 64.0 (шаг: 0.01) | Абсолютный масштаб шума обучения. Например, для HiDream-O1: базовая версия — 8.0, dev-версия — 7.5. (по умолчанию: 1.0) |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `MODEL` | MODEL | Модифицированная модель с применённым новым масштабом шума. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/tr.md b/comfyui_embedded_docs/docs/ModelNoiseScale/tr.md
new file mode 100644
index 000000000..605f05d4b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/tr.md
@@ -0,0 +1,21 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/tr.md)
+
+# Genel Bakış
+
+Bu düğüm, model örneklemesi sırasında kullanılan gürültü ölçeğini ayarlar. Modelin örnekleme sürecine uygulanan gürültü miktarını kontrol eden belirli bir gürültü ölçeği değeri belirlemenizi sağlar.
+
+# Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `model` | MODEL | Evet | - | Gürültü ölçeği ayarının uygulanacağı model. |
+| `gürültü_ölçeği` | FLOAT | Evet | 0.0 ile 64.0 arası (adım: 0.01) | Mutlak eğitim gürültü ölçeği. Örneğin HiDream-O1 taban: 8.0, geliştirici: 7.5. (varsayılan: 1.0) |
+
+# Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|-------------|
+| `MODEL` | MODEL | Yeni gürültü ölçeği uygulanmış değiştirilmiş model. |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/zh-TW.md b/comfyui_embedded_docs/docs/ModelNoiseScale/zh-TW.md
new file mode 100644
index 000000000..fae590686
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/zh-TW.md
@@ -0,0 +1,21 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/zh-TW.md)
+
+## ## 概述
+
+此節點用於調整模型取樣過程中使用的噪聲尺度。您可以設定特定的噪聲尺度值，以控制應用於模型取樣過程的噪聲量。
+
+## ## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `模型` | MODEL | 是 | - | 要套用噪聲尺度調整的模型。 |
+| `雜訊尺度` | FLOAT | 是 | 0.0 至 64.0（步長：0.01） | 絕對訓練噪聲尺度。例如 HiDream-O1 base：8.0，dev：7.5。（預設值：1.0） |
+
+## ## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `MODEL` | MODEL | 已套用新噪聲尺度的修改後模型。 |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelNoiseScale/zh.md b/comfyui_embedded_docs/docs/ModelNoiseScale/zh.md
new file mode 100644
index 000000000..6475bbef2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/ModelNoiseScale/zh.md
@@ -0,0 +1,21 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/zh.md)
+
+## ## 概述
+
+此节点用于调整模型采样过程中使用的噪声尺度。它允许您设置特定的噪声尺度值，从而控制应用于模型采样过程的噪声量。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `模型` | MODEL | 是 | - | 要应用噪声尺度调整的模型。 |
+| `噪声尺度` | FLOAT | 是 | 0.0 至 64.0（步长：0.01） | 绝对训练噪声尺度。例如 HiDream-O1 基础版：8.0，开发版：7.5。（默认值：1.0） |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `MODEL` | MODEL | 应用了新噪声尺度的修改后模型。 |
+
+---
+**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190`
diff --git a/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md b/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md
index 985a5ae22..87c7f45f9 100644
--- a/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md
+++ b/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md
@@ -18,4 +18,4 @@ The ModelSamplingLTXV node applies advanced sampling parameters to a model based
| `model` | MODEL | The modified model with the applied sampling parameters |
---
-**Source fingerprint (SHA-256):** `2325754df1b2541a6adbdebecefde92e08535af0e179d7444093a61eb35cb24c`
+**Source fingerprint (SHA-256):** `09c7628837c3961ad233bcd7e20b20cebb1f7558c0e7f5629d31964c16981a59`
diff --git a/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md b/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md
index a52cd0cf2..ae973a505 100644
--- a/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md
+++ b/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md
@@ -16,4 +16,4 @@ The ModelSamplingSD3 node applies Stable Diffusion 3 sampling parameters to a mo
| `model` | MODEL | The modified model with SD3 sampling parameters applied |
---
-**Source fingerprint (SHA-256):** `aa2172d578badffb0a728308b0d3aae4d048db074336963965264d5e512a0d93`
+**Source fingerprint (SHA-256):** `410fbe0ce16c7e22733ff1e2124c24634a2c6752a882e1c97763b35666882e5f`
diff --git a/comfyui_embedded_docs/docs/Morphology/en.md b/comfyui_embedded_docs/docs/Morphology/en.md
index 1c42a5fa5..438134eae 100644
--- a/comfyui_embedded_docs/docs/Morphology/en.md
+++ b/comfyui_embedded_docs/docs/Morphology/en.md
@@ -17,4 +17,4 @@ The Morphology node applies various morphological operations to images, which ar
| `image` | IMAGE | The processed image after applying the morphological operation |
---
-**Source fingerprint (SHA-256):** `7f6224a0e58fbb7263267b377394e119c6f8d65d16af4ce492ca9504654af7b4`
+**Source fingerprint (SHA-256):** `ea596f8d30975f153fccbc5651eec0fbbf308ef1c616313d996c200cddf748e3`
diff --git a/comfyui_embedded_docs/docs/NAGuidance/en.md b/comfyui_embedded_docs/docs/NAGuidance/en.md
index 19d382917..f3bafffc5 100644
--- a/comfyui_embedded_docs/docs/NAGuidance/en.md
+++ b/comfyui_embedded_docs/docs/NAGuidance/en.md
@@ -18,4 +18,4 @@ The NAGuidance node applies Normalized Attention Guidance to a model. This techn
| `model` | MODEL | The patched model with Normalized Attention Guidance enabled. |
---
-**Source fingerprint (SHA-256):** `ea3d7fea94e62c8a0784887f3df9d8a503c3dbaa552bf860bd4dde1ae576fa9c`
+**Source fingerprint (SHA-256):** `42b4d601312dcbb1c934c6a79bbb5e9fd6598fa5f32b18f5c0affcb596672cba`
diff --git a/comfyui_embedded_docs/docs/NormalizeImages/en.md b/comfyui_embedded_docs/docs/NormalizeImages/en.md
index c68a448c7..cb3553c6c 100644
--- a/comfyui_embedded_docs/docs/NormalizeImages/en.md
+++ b/comfyui_embedded_docs/docs/NormalizeImages/en.md
@@ -17,4 +17,4 @@ This node adjusts the pixel values of an input image using a mathematical normal
| `image` | IMAGE | The resulting image after the normalization process has been applied. |
---
-**Source fingerprint (SHA-256):** `9d08c8dba7d13c6f255ed786d3d2d3005bce425dc04b14b7199d868c3fc81fd9`
+**Source fingerprint (SHA-256):** `881e14dbbd8d380960a72b828609861a01a88a397f296dcb134955928afff039`
diff --git a/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md b/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md
index 8c5c43782..f25bdb6c5 100644
--- a/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md
+++ b/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md
@@ -7,8 +7,8 @@ This node adjusts the first few frames of a video latent to make them look more
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `latent` | LATENT | Yes | - | The video latent representation to process. |
-| `start_frame_count` | INT | Yes | 1 to 16384 | Number of latent frames to normalize, counted from the start (default: 4). |
-| `reference_frame_count` | INT | Yes | 1 to 16384 | Number of latent frames after the start frames to use as reference (default: 5). |
+| `start_frame_count` | INT | Yes | 1 to 16384 (max resolution) | Number of latent frames to normalize, counted from the start (default: 4). |
+| `reference_frame_count` | INT | Yes | 1 to 16384 (max resolution) | Number of latent frames after the start frames to use as reference (default: 5). |
**Note:** The `reference_frame_count` is automatically limited to the number of frames available after the starting frames. If the video latent is only 1 frame long, no normalization is performed and the original latent is returned unchanged.
@@ -19,4 +19,4 @@ This node adjusts the first few frames of a video latent to make them look more
| `latent` | LATENT | The processed video latent with the starting frames normalized. |
---
-**Source fingerprint (SHA-256):** `64844f3bf1735952334dcca3a829e8f666fd89e817ab66cf3c2dc04ecbbdff56`
+**Source fingerprint (SHA-256):** `ee1f13ddb6ff0d52d5cdaa8d2af9cd4123bc99f38cf4a449b329a0b6663a70ef`
diff --git a/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md b/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md
index 916d0ee64..aff20b97a 100644
--- a/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md
@@ -17,4 +17,4 @@ The OpenAIChatConfig node allows setting additional configuration options for th
| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | Configuration object containing the specified settings for use with OpenAI Chat Nodes |
---
-**Source fingerprint (SHA-256):** `6d956aa1bc7f822c18ddaa55cd2345dad947fd93833de25a957f49878484af97`
+**Source fingerprint (SHA-256):** `f9ae6d3b2818ea37543156c2f209fc4d093e40e446907deb4be327ca0c9d70e1`
diff --git a/comfyui_embedded_docs/docs/OpenAIChatNode/en.md b/comfyui_embedded_docs/docs/OpenAIChatNode/en.md
index 23f5431d7..e42bec533 100644
--- a/comfyui_embedded_docs/docs/OpenAIChatNode/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIChatNode/en.md
@@ -8,7 +8,7 @@ This node generates text responses from an OpenAI model. It sends your text prom
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response (default: empty) |
| `persist_context` | BOOLEAN | Yes | - | This parameter is deprecated and has no effect (default: False) |
-| `model` | COMBO | Yes | Multiple OpenAI models available | The model used to generate the response |
+| `model` | COMBO | Yes | `gpt-5.5-pro` `gpt-5.5` `gpt-5` `gpt-5-mini` `gpt-5-nano` `gpt-4.1` `gpt-4.1-mini` `gpt-4.1-nano` `o4-mini` `o3` `o1-pro` `o1` | The model used to generate the response (default: `gpt-5`) |
| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node |
| `files` | OPENAI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node |
| `advanced_options` | OPENAI_CHAT_CONFIG | No | - | Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node |
@@ -20,4 +20,4 @@ This node generates text responses from an OpenAI model. It sends your text prom
| `output_text` | STRING | The text response generated by the OpenAI model |
---
-**Source fingerprint (SHA-256):** `ea66b58b23305b0d97bfc76cc39cfdfe8e01b70edcbfd60c2c640a07ad507ee6`
+**Source fingerprint (SHA-256):** `9adc9685d7fc31fba95bf43fa9e041289b6dbb9ab8f5ed30dc85e0acc015fe5c`
diff --git a/comfyui_embedded_docs/docs/OpenAIDalle3/en.md b/comfyui_embedded_docs/docs/OpenAIDalle3/en.md
index 60cc3df93..2409af8d4 100644
--- a/comfyui_embedded_docs/docs/OpenAIDalle3/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIDalle3/en.md
@@ -19,4 +19,4 @@ Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes
| `IMAGE` | IMAGE | The generated image from DALL·E 3 |
---
-**Source fingerprint (SHA-256):** `e36bfe2a6ecec050906f220de3a3edf06eff0bfd6e21f08ce90579172a07d7eb`
+**Source fingerprint (SHA-256):** `f100a8564689c2c54cc5c22df554af7e5c166bd4f15bc9234bade4d0819a09dd`
diff --git a/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md b/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md
index 94997f645..a59b8d8ee 100644
--- a/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md
@@ -38,4 +38,4 @@ Generates images synchronously via OpenAI's GPT Image endpoint. This node can cr
| `IMAGE` | IMAGE | Generated or edited image(s) |
---
-**Source fingerprint (SHA-256):** `44b258d6afcb388db3836427abdd5a7cb5c09a0328efceef7e114dd61a38eae1`
+**Source fingerprint (SHA-256):** `826d393831ee38e97dad3ea238877d0aeb5bf16778612c51cdc0ca4816efead2`
diff --git a/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md b/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md
index 050af5aaf..92c51cc88 100644
--- a/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md
@@ -35,4 +35,4 @@ This node generates images using OpenAI's GPT Image API. It supports multiple mo
| `image` | IMAGE | The generated image or images. |
---
-**Source fingerprint (SHA-256):** `a757208cf6cc151594599b35b0ef73f2caf7274189e948799211c0714a6a8f89`
+**Source fingerprint (SHA-256):** `dcea500ebbbbfe87f8b0dd2d714cf2356edf2030312c2cc6e41d64bd2ad04ea6`
diff --git a/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md b/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md
index 990d45d09..cfee30217 100644
--- a/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md
@@ -22,4 +22,4 @@ Loads and formats input files for the OpenAI API. This node prepares text (.txt)
| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | Formatted input files ready to be used as context for OpenAI API calls. |
---
-**Source fingerprint (SHA-256):** `e5e92f6628072da9af787867e38c89dde3db853b7289ef6c607a066cd04c1cc9`
+**Source fingerprint (SHA-256):** `9e1a60feb48d39646c4247dd12b15c3eb392e1b85b3db2f254571d568d772de0`
diff --git a/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md b/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md
index 43f5c0fe2..d9ff7205d 100644
--- a/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md
@@ -28,4 +28,4 @@ The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It create
| `output` | VIDEO | The generated video output |
---
-**Source fingerprint (SHA-256):** `c87b696dd92c6a6a929f49d189a375b1ebed80bf47f24667ee17c0b210330e55`
+**Source fingerprint (SHA-256):** `b632ef33ca5f01a7aed780a9eeea9b2fcbf4ab85ccb8f026e6175ceaafbda47b`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/ar.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ar.md
new file mode 100644
index 000000000..380ca9a49
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ar.md
@@ -0,0 +1,29 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ar.md)
+
+## نظرة عامة
+
+ترسل عقدة OpenRouter LLM مطالبة نصية إلى مجموعة منتقاة من نماذج اللغة الشائعة المتاحة عبر خدمة OpenRouter، وتُعيد الاستجابة النصية المُولَّدة. تدعم العقدة نماذج من مزودين مثل xAI وDeepSeek وQwen وMistral وZ.AI (GLM) وMoonshot (Kimi) وPerplexity Sonar، ويمكنها اختياريًا تضمين الصور أو مقاطع الفيديو في الطلب.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | نعم | غير متاح | النص المُدخل إلى النموذج. |
+| `model` | STRING | نعم | تتوفر خيارات متعددة (انظر الملاحظة أدناه) | نموذج OpenRouter المُستخدم لتوليد الاستجابة. |
+| `seed` | INT | نعم | 0 إلى 2147483647 | البذرة المستخدمة في أخذ العينات. اضبطها على 0 للإلغاء. تعامل معظم النماذج هذه القيمة كإشارة إرشادية فقط. (القيمة الافتراضية: 0) |
+| `system_prompt` | STRING | لا | غير متاح | تعليمات أساسية تُحدد سلوك النموذج. (القيمة الافتراضية: "") |
+
+**ملاحظة حول معامل `model`:** يتم بناء خيارات النماذج المتاحة ديناميكيًا وقد تتضمن نماذج ذات قدرات مختلفة. تدعم بعض النماذج ميزات إضافية مثل جهد الاستدلال، أو البحث على الويب، أو إدخال الصور/مقاطع الفيديو. ستتحقق العقدة من أن عدد الصور أو مقاطع الفيديو المُقدمة لا يتجاوز الحد الأقصى المدعوم من قبل النموذج.
+
+**ملاحظة حول معامل `seed`:** يتميز معامل `seed` بسلوك "التحكم بعد التوليد"، مما يعني أنه يمكن ضبطه ليتغير تلقائيًا (مثل التوزيع العشوائي، أو الزيادة، أو الثبات) بعد كل تنفيذ للعقدة، وذلك وفقًا لإعدادات عناصر واجهة المستخدم الخاصة بالمستخدم.
+
+**ملاحظة حول `system_prompt`:** هذا المعامل اختياري ويتم تمييزه كمعامل متقدم في واجهة المستخدم.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `output` | STRING | الاستجابة النصية المُولَّدة من نموذج OpenRouter. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md
new file mode 100644
index 000000000..69cfee397
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md
@@ -0,0 +1,29 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md)
+
+## Overview
+
+The OpenRouter LLM node sends a text prompt to a curated set of popular language models available through the OpenRouter service and returns the generated text response. It supports models from providers like xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi), and Perplexity Sonar, and can optionally include images or videos in the request.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Yes | N/A | Text input to the model. |
+| `model` | STRING | Yes | Multiple options available (see note below) | The OpenRouter model used to generate the response. |
+| `seed` | INT | Yes | 0 to 2147483647 | Seed for sampling. Set to 0 to omit. Most models treat this as a hint only. (default: 0) |
+| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: "") |
+
+**Note on `model` parameter:** The available model options are dynamically built and may include models with different capabilities. Some models support additional features like reasoning effort, web search, or image/video inputs. The node will validate that the number of images or videos provided does not exceed the model's maximum supported count.
+
+**Note on `seed` parameter:** The `seed` parameter has a "control_after_generate" behavior, meaning it can be set to automatically change (e.g., randomize, increment, or fixed) after each node execution, depending on the user's widget settings.
+
+**Note on `system_prompt`:** This parameter is optional and is marked as an advanced parameter in the user interface.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `output` | STRING | The generated text response from the OpenRouter model. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/es.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/es.md
new file mode 100644
index 000000000..132509840
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/es.md
@@ -0,0 +1,29 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/es.md)
+
+## Descripción general
+
+El nodo LLM de OpenRouter envía un prompt de texto a un conjunto seleccionado de modelos de lenguaje populares disponibles a través del servicio OpenRouter y devuelve la respuesta de texto generada. Admite modelos de proveedores como xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi) y Perplexity Sonar, y puede incluir opcionalmente imágenes o videos en la solicitud.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `prompt` | STRING | Sí | N/A | Entrada de texto para el modelo. |
+| `model` | STRING | Sí | Múltiples opciones disponibles (ver nota a continuación) | El modelo de OpenRouter utilizado para generar la respuesta. |
+| `seed` | INT | Sí | 0 a 2147483647 | Semilla para el muestreo. Establecer en 0 para omitir. La mayoría de los modelos tratan esto solo como una sugerencia. (valor predeterminado: 0) |
+| `system_prompt` | STRING | No | N/A | Instrucciones fundamentales que determinan el comportamiento del modelo. (valor predeterminado: "") |
+
+**Nota sobre el parámetro `model`:** Las opciones de modelo disponibles se construyen dinámicamente y pueden incluir modelos con diferentes capacidades. Algunos modelos admiten funciones adicionales como esfuerzo de razonamiento, búsqueda web o entrada de imágenes/videos. El nodo validará que la cantidad de imágenes o videos proporcionados no exceda el número máximo admitido por el modelo.
+
+**Nota sobre el parámetro `seed`:** El parámetro `seed` tiene un comportamiento de "control_después_de_generar", lo que significa que se puede configurar para que cambie automáticamente (por ejemplo, aleatorizar, incrementar o fijar) después de cada ejecución del nodo, según la configuración del widget del usuario.
+
+**Nota sobre `system_prompt`:** Este parámetro es opcional y está marcado como un parámetro avanzado en la interfaz de usuario.
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `output` | STRING | La respuesta de texto generada por el modelo de OpenRouter. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/fa.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/fa.md
new file mode 100644
index 000000000..f9929be78
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/fa.md
@@ -0,0 +1,29 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/fa.md)
+
+## نمای کلی
+
+گره OpenRouter LLM یک متن ورودی (پرامپت) را به مجموعهای از مدلهای زبانی محبوب که از طریق سرویس OpenRouter در دسترس هستند ارسال میکند و پاسخ متنی تولیدشده را بازمیگرداند. این گره از مدلهای ارائهدهندگانی مانند xAI، DeepSeek، Qwen، Mistral، Z.AI (GLM)، Moonshot (Kimi) و Perplexity Sonar پشتیبانی میکند و میتواند بهصورت اختیاری تصاویر یا ویدیوها را نیز در درخواست بگنجاند.
+
+## ورودیها
+
+| پارامتر | نوع داده | اجباری | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `prompt` | STRING | بله | نامشخص | ورودی متنی به مدل. |
+| `model` | STRING | بله | گزینههای متعدد در دسترس (به توضیح زیر مراجعه کنید) | مدل OpenRouter مورد استفاده برای تولید پاسخ. |
+| `seed` | INT | بله | 0 تا 2147483647 | دانه (seed) برای نمونهبرداری. مقدار 0 به معنی حذف آن است. بیشتر مدلها این مقدار را تنها بهعنوان یک راهنما در نظر میگیرند. (پیشفرض: 0) |
+| `system_prompt` | STRING | خیر | نامشخص | دستورالعملهای بنیادین که رفتار مدل را تعیین میکنند. (پیشفرض: "") |
+
+**توضیح درباره پارامتر `model`:** گزینههای مدل موجود بهصورت پویا ساخته میشوند و ممکن است شامل مدلهایی با قابلیتهای متفاوت باشند. برخی مدلها از ویژگیهای اضافی مانند تلاش استدلال (reasoning effort)، جستجوی وب، یا ورودی تصویر/ویدیو پشتیبانی میکنند. این گره بررسی میکند که تعداد تصاویر یا ویدیوهای ارائهشده از حداکثر تعداد پشتیبانیشده توسط مدل تجاوز نکند.
+
+**توضیح درباره پارامتر `seed`:** پارامتر `seed` دارای رفتار "کنترل پس از تولید" (control_after_generate) است، به این معنی که میتوان آن را طوری تنظیم کرد که پس از هر اجرای گره بهطور خودکار تغییر کند (مثلاً تصادفی، افزایشی یا ثابت)، بسته به تنظیمات ویجت کاربر.
+
+**توضیح درباره `system_prompt`:** این پارامتر اختیاری است و در رابط کاربری بهعنوان یک پارامتر پیشرفته علامتگذاری شده است.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `output` | STRING | پاسخ متنی تولیدشده از مدل OpenRouter. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/fr.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/fr.md
new file mode 100644
index 000000000..f7dcc9bf9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/fr.md
@@ -0,0 +1,31 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/fr.md)
+
+Voici la traduction en français de la documentation du nœud OpenRouter LLM, en respectant vos règles :
+
+## Aperçu
+
+Le nœud LLM OpenRouter envoie une invite textuelle à un ensemble sélectionné de modèles de langage populaires disponibles via le service OpenRouter et renvoie la réponse textuelle générée. Il prend en charge les modèles de fournisseurs tels que xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi) et Perplexity Sonar, et peut éventuellement inclure des images ou des vidéos dans la requête.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `prompt` | STRING | Oui | N/A | Texte d'entrée pour le modèle. |
+| `model` | STRING | Oui | Plusieurs options disponibles (voir note ci-dessous) | Le modèle OpenRouter utilisé pour générer la réponse. |
+| `seed` | INT | Oui | 0 à 2147483647 | Graine pour l'échantillonnage. Mettre à 0 pour omettre. La plupart des modèles ne traitent cela qu'à titre indicatif. (par défaut : 0) |
+| `system_prompt` | STRING | Non | N/A | Instructions fondamentales qui dictent le comportement du modèle. (par défaut : "") |
+
+**Note sur le paramètre `model :** Les options de modèle disponibles sont construites dynamiquement et peuvent inclure des modèles aux capacités différentes. Certains modèles prennent en charge des fonctionnalités supplémentaires comme l'effort de raisonnement, la recherche web ou les entrées d'images/vidéos. Le nœud validera que le nombre d'images ou de vidéos fournies ne dépasse pas le nombre maximal pris en charge par le modèle.
+
+**Note sur le paramètre `seed` :** Le paramètre `seed` a un comportement "control_after_generate", ce qui signifie qu'il peut être configuré pour changer automatiquement (par exemple, aléatoire, incrémentiel ou fixe) après chaque exécution du nœud, en fonction des paramètres du widget de l'utilisateur.
+
+**Note sur `system_prompt` :** Ce paramètre est facultatif et est marqué comme un paramètre avancé dans l'interface utilisateur.
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `output` | STRING | La réponse textuelle générée par le modèle OpenRouter. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md
new file mode 100644
index 000000000..a63982b04
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md
@@ -0,0 +1,31 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md)
+
+以下が翻訳結果です。
+
+## 概要
+
+OpenRouter LLM ノードは、OpenRouter サービスを通じて利用可能な厳選された人気言語モデルにテキストプロンプトを送信し、生成されたテキスト応答を返します。xAI、DeepSeek、Qwen、Mistral、Z.AI（GLM）、Moonshot（Kimi）、Perplexity Sonar などのプロバイダーのモデルをサポートしており、必要に応じてリクエストに画像や動画を含めることもできます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | はい | なし | モデルへのテキスト入力。 |
+| `model` | STRING | はい | 複数のオプションが利用可能（下記注釈参照） | 応答生成に使用する OpenRouter モデル。 |
+| `seed` | INT | はい | 0 ～ 2147483647 | サンプリング用のシード値。0 に設定すると省略されます。ほとんどのモデルでは、これはヒントとしてのみ扱われます。（デフォルト: 0） |
+| `system_prompt` | STRING | いいえ | なし | モデルの動作を指示する基本命令。（デフォルト: ""） |
+
+**`model` パラメータに関する注釈:** 利用可能なモデルオプションは動的に構築され、異なる機能を持つモデルが含まれる場合があります。一部のモデルは、推論努力、ウェブ検索、画像や動画の入力などの追加機能をサポートしています。ノードは、提供された画像または動画の数がモデルの最大サポート数を超えないことを検証します。
+
+**`seed` パラメータに関する注釈:** `seed` パラメータには「生成後の制御」動作があり、ユーザーのウィジェット設定に応じて、ノード実行後に自動的に変更（例：ランダム化、インクリメント、固定）されるように設定できます。
+
+**`system_prompt` に関する注釈:** このパラメータはオプションであり、ユーザーインターフェースでは高度なパラメータとしてマークされています。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `output` | STRING | OpenRouter モデルから生成されたテキスト応答。 |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/ko.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ko.md
new file mode 100644
index 000000000..b9ef9501b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ko.md
@@ -0,0 +1,29 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ko.md)
+
+# 개요
+
+OpenRouter LLM 노드는 OpenRouter 서비스를 통해 제공되는 엄선된 인기 언어 모델 세트에 텍스트 프롬프트를 전송하고 생성된 텍스트 응답을 반환합니다. xAI, DeepSeek, Qwen, Mistral, Z.AI(GLM), Moonshot(Kimi), Perplexity Sonar와 같은 제공업체의 모델을 지원하며, 요청에 이미지나 비디오를 선택적으로 포함할 수 있습니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 예 | 해당 없음 | 모델에 전달할 텍스트 입력입니다. |
+| `model` | STRING | 예 | 여러 옵션 사용 가능 (아래 참고 사항 확인) | 응답을 생성하는 데 사용되는 OpenRouter 모델입니다. |
+| `seed` | INT | 예 | 0 ~ 2147483647 | 샘플링을 위한 시드입니다. 생략하려면 0으로 설정하세요. 대부분의 모델은 이를 참고 힌트로만 처리합니다. (기본값: 0) |
+| `system_prompt` | STRING | 아니요 | 해당 없음 | 모델의 동작을 지시하는 기본 명령입니다. (기본값: "") |
+
+**`model` 매개변수 참고 사항:** 사용 가능한 모델 옵션은 동적으로 구성되며, 다양한 기능을 가진 모델이 포함될 수 있습니다. 일부 모델은 추론 노력, 웹 검색 또는 이미지/비디오 입력과 같은 추가 기능을 지원합니다. 이 노드는 제공된 이미지나 비디오의 개수가 모델의 최대 지원 개수를 초과하지 않는지 확인합니다.
+
+**`seed` 매개변수 참고 사항:** `seed` 매개변수는 "control_after_generate" 동작을 가지며, 사용자의 위젯 설정에 따라 각 노드 실행 후 자동으로 변경(예: 무작위화, 증가 또는 고정)되도록 설정할 수 있습니다.
+
+**`system_prompt` 참고 사항:** 이 매개변수는 선택 사항이며 사용자 인터페이스에서 고급 매개변수로 표시됩니다.
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `output` | STRING | OpenRouter 모델에서 생성된 텍스트 응답입니다. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/pt-BR.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/pt-BR.md
new file mode 100644
index 000000000..f13c3ed4e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/pt-BR.md
@@ -0,0 +1,31 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md)
+
+## Visão Geral
+
+O nó OpenRouter LLM envia um prompt de texto para um conjunto selecionado de modelos de linguagem populares disponíveis através do serviço OpenRouter e retorna a resposta de texto gerada. Ele suporta modelos de provedores como xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi) e Perplexity Sonar, e pode opcionalmente incluir imagens ou vídeos na requisição.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `prompt` | STRING | Sim | N/A | Entrada de texto para o modelo. |
+| `model` | STRING | Sim | Múltiplas opções disponíveis (veja nota abaixo) | O modelo OpenRouter usado para gerar a resposta. |
+| `seed` | INT | Sim | 0 a 2147483647 | Semente para amostragem. Defina como 0 para omitir. A maioria dos modelos trata isso apenas como uma sugestão. (padrão: 0) |
+| `system_prompt` | STRING | Não | N/A | Instruções fundamentais que determinam o comportamento do modelo. (padrão: "") |
+
+**Nota sobre o parâmetro `model`:** As opções de modelo disponíveis são construídas dinamicamente e podem incluir modelos com diferentes capacidades. Alguns modelos suportam recursos adicionais como esforço de raciocínio, pesquisa na web ou entrada de imagem/vídeo. O nó validará se o número de imagens ou vídeos fornecidos não excede o número máximo suportado pelo modelo.
+
+**Nota sobre o parâmetro `seed`:** O parâmetro `seed` tem um comportamento de "controle após geração", o que significa que pode ser configurado para mudar automaticamente (por exemplo, aleatorizar, incrementar ou fixo) após cada execução do nó, dependendo das configurações do widget do usuário.
+
+**Nota sobre `system_prompt`:** Este parâmetro é opcional e é marcado como um parâmetro avançado na interface do usuário.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `output` | STRING | A resposta de texto gerada pelo modelo OpenRouter. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/ru.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ru.md
new file mode 100644
index 000000000..e4e073343
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/ru.md
@@ -0,0 +1,29 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ru.md)
+
+## Обзор
+
+Узел OpenRouter LLM отправляет текстовый запрос к подобранному набору популярных языковых моделей, доступных через сервис OpenRouter, и возвращает сгенерированный текстовый ответ. Он поддерживает модели от таких провайдеров, как xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi) и Perplexity Sonar, и может опционально включать изображения или видео в запрос.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Да | Н/Д | Текстовый ввод для модели. |
+| `model` | STRING | Да | Доступно несколько опций (см. примечание ниже) | Модель OpenRouter, используемая для генерации ответа. |
+| `seed` | INT | Да | от 0 до 2147483647 | Сид для семплирования. Установите 0, чтобы пропустить. Большинство моделей используют его только как подсказку. (по умолчанию: 0) |
+| `system_prompt` | STRING | Нет | Н/Д | Базовые инструкции, определяющие поведение модели. (по умолчанию: "") |
+
+**Примечание о параметре `model`:** Доступные опции моделей формируются динамически и могут включать модели с разными возможностями. Некоторые модели поддерживают дополнительные функции, такие как настройка глубины рассуждений, веб-поиск или ввод изображений/видео. Узел проверяет, что количество предоставленных изображений или видео не превышает максимально поддерживаемое количество для модели.
+
+**Примечание о параметре `seed`:** Параметр `seed` имеет поведение "control_after_generate", что означает возможность автоматического изменения (например, рандомизация, инкремент или фиксация) после каждого выполнения узла, в зависимости от настроек виджета пользователя.
+
+**Примечание о `system_prompt`:** Этот параметр является необязательным и помечен как расширенный параметр в пользовательском интерфейсе.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `output` | STRING | Сгенерированный текстовый ответ от модели OpenRouter. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/tr.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/tr.md
new file mode 100644
index 000000000..65c6d3ecc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/tr.md
@@ -0,0 +1,29 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/tr.md)
+
+## Genel Bakış
+
+OpenRouter LLM düğümü, OpenRouter hizmeti aracılığıyla sunulan, özenle seçilmiş popüler dil modellerine bir metin istemi gönderir ve oluşturulan metin yanıtını döndürür. xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi) ve Perplexity Sonar gibi sağlayıcılardan gelen modelleri destekler ve isteğe bağlı olarak isteğe resim veya video ekleyebilir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Evet | Yok | Modele gönderilen metin girişi. |
+| `model` | STRING | Evet | Birden çok seçenek mevcut (aşağıdaki nota bakın) | Yanıtı oluşturmak için kullanılan OpenRouter modeli. |
+| `seed` | INT | Evet | 0 ile 2147483647 arası | Örnekleme için tohum değeri. 0 olarak ayarlandığında atlanır. Çoğu model bunu yalnızca bir ipucu olarak kabul eder. (varsayılan: 0) |
+| `system_prompt` | STRING | Hayır | Yok | Modelin davranışını belirleyen temel talimatlar. (varsayılan: "") |
+
+**`model` parametresi hakkında not:** Mevcut model seçenekleri dinamik olarak oluşturulur ve farklı yeteneklere sahip modeller içerebilir. Bazı modeller, muhakeme çabası, web araması veya resim/video girişleri gibi ek özellikleri destekler. Düğüm, sağlanan resim veya video sayısının modelin desteklediği maksimum sayıyı aşmadığını doğrular.
+
+**`seed` parametresi hakkında not:** `seed` parametresi "control_after_generate" (oluşturma sonrası kontrol) davranışına sahiptir; yani kullanıcının pencere öğesi ayarlarına bağlı olarak her düğüm yürütmesinden sonra otomatik olarak değişecek şekilde (örneğin, rastgele, artımlı veya sabit) ayarlanabilir.
+
+**`system_prompt` hakkında not:** Bu parametre isteğe bağlıdır ve kullanıcı arayüzünde gelişmiş bir parametre olarak işaretlenmiştir.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `output` | STRING | OpenRouter modelinden oluşturulan metin yanıtı. |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh-TW.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh-TW.md
new file mode 100644
index 000000000..d931dbca8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh-TW.md
@@ -0,0 +1,29 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh-TW.md)
+
+## 概述
+
+OpenRouter LLM 節點將文字提示發送到透過 OpenRouter 服務提供的精選熱門語言模型集合，並返回生成的文字回應。它支援來自 xAI、DeepSeek、Qwen、Mistral、Z.AI (GLM)、Moonshot (Kimi) 和 Perplexity Sonar 等提供商的模型，並且可以選擇在請求中包含圖片或影片。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 不適用 | 輸入到模型的文字。 |
+| `model` | STRING | 是 | 提供多個選項（請參閱下方備註） | 用於生成回應的 OpenRouter 模型。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 用於取樣的種子。設定為 0 則省略。大多數模型僅將其視為提示。 (預設值：0) |
+| `system_prompt` | STRING | 否 | 不適用 | 決定模型行為的基礎指令。 (預設值："") |
+
+**關於 `model` 參數的備註：** 可用的模型選項是動態建構的，可能包含具有不同能力的模型。某些模型支援額外功能，例如推理努力、網路搜尋或圖片/影片輸入。此節點將驗證提供的圖片或影片數量是否超過模型支援的最大數量。
+
+**關於 `seed` 參數的備註：** `seed` 參數具有「生成後控制」行為，這意味著它可以設定為在每次節點執行後自動更改（例如隨機化、遞增或固定），具體取決於使用者的小工具設定。
+
+**關於 `system_prompt` 的備註：** 此參數為可選，並在使用者介面中標記為進階參數。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `output` | STRING | 從 OpenRouter 模型生成的文字回應。 |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh.md
new file mode 100644
index 000000000..b8de0c837
--- /dev/null
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh.md
@@ -0,0 +1,29 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh.md)
+
+## 概述
+
+OpenRouter LLM 节点将文本提示发送至 OpenRouter 服务提供的一组精选流行语言模型，并返回生成的文本响应。它支持来自 xAI、DeepSeek、Qwen、Mistral、Z.AI (GLM)、Moonshot (Kimi) 和 Perplexity Sonar 等提供商的模型，并且可以选择在请求中包含图像或视频。
+
+## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 无 | 输入模型的文本。 |
+| `model` | STRING | 是 | 提供多个选项（见下方注释） | 用于生成响应的 OpenRouter 模型。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 采样种子。设置为 0 可忽略。大多数模型仅将其视为提示。 (默认值: 0) |
+| `system_prompt` | STRING | 否 | 无 | 决定模型行为的基础指令。 (默认值: "") |
+
+**关于 `model` 参数的说明：** 可用的模型选项是动态构建的，可能包含不同能力的模型。部分模型支持推理努力、网络搜索或图像/视频输入等附加功能。该节点将验证提供的图像或视频数量是否超过模型支持的最大数量。
+
+**关于 `seed` 参数的说明：** `seed` 参数具有"生成后控制"行为，意味着根据用户的小部件设置，它可以在每次节点执行后自动更改（例如随机化、递增或固定）。
+
+**关于 `system_prompt` 的说明：** 此参数为可选参数，在用户界面中被标记为高级参数。
+
+## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `output` | STRING | 来自 OpenRouter 模型的生成文本响应。 |
+
+---
+**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
diff --git a/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md b/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md
index 4ee82ea01..d67d20886 100644
--- a/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md
+++ b/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md
@@ -17,4 +17,4 @@ Loads an optical flow model from the `models/optical_flow/` folder. Currently, o
| `OPTICAL_FLOW` | MODEL | The loaded optical flow model, wrapped in a ModelPatcher for use with other nodes. |
---
-**Source fingerprint (SHA-256):** `94bab0bb7e2b9d9b3f343337799eccc744f79275b72a6fad9681b408b4a0820b`
+**Source fingerprint (SHA-256):** `62f79c2e96fafe4856321481bdc22ca474e65be2bb4c117cb0e929ff33e75d5a`
diff --git a/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md b/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md
index 38612ef73..1edfe5d79 100644
--- a/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md
+++ b/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md
@@ -19,4 +19,4 @@ The OptimalStepsScheduler node calculates noise schedule sigmas for diffusion mo
| `sigmas` | SIGMAS | A sequence of sigma values representing the noise schedule for diffusion sampling |
---
-**Source fingerprint (SHA-256):** `4379171dc6d525a1ece514fdd11a95bfd92ed0c8b301f69ca718c1a3256b9590`
+**Source fingerprint (SHA-256):** `19ad2b96d8256b1fd274f09d863215d4a4375f071829509d9f105d244cee3d28`
diff --git a/comfyui_embedded_docs/docs/Painter/en.md b/comfyui_embedded_docs/docs/Painter/en.md
index 3f9b6600c..9ce6ea98d 100644
--- a/comfyui_embedded_docs/docs/Painter/en.md
+++ b/comfyui_embedded_docs/docs/Painter/en.md
@@ -12,7 +12,7 @@ The Painter node provides an interactive canvas for creating or editing images a
| `height` | INT | Yes | 64 to 4096 | The height of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. |
| `bg_color` | COLOR | Yes | - | The background color for the canvas, specified as a hex code (e.g., #000000). This is only used when no base `image` is provided. Default is black (#000000). |
-**Note:** The `mask` input is designed to work with the node's specialized UI widget. When you paint on the canvas, the widget automatically populates this value. The `width` and `height` inputs are hidden in the standard UI but define the canvas dimensions when creating a new image.
+**Note:** The `mask` input is designed to work with the node's specialized UI widget. When you paint on the canvas, the widget automatically populates this value. The `width` and `height` inputs are hidden in the standard UI but define the canvas dimensions when creating a new image. If a base `image` is provided, its dimensions override the `width` and `height` settings.
## Outputs
@@ -22,4 +22,4 @@ The Painter node provides an interactive canvas for creating or editing images a
| `MASK` | MASK | The alpha channel (transparency) mask extracted from the painting. White areas represent the painted regions, and black areas represent the untouched background. |
---
-**Source fingerprint (SHA-256):** `ae926b6d30aab65737bd99a58cb7de5a71fa36e61a677dbc97fc30b8ef8d2418`
+**Source fingerprint (SHA-256):** `217a6d8abbad02cb43cab18d0a592bdd5bfbfe321a742d0c14e8f4e1fa5e2630`
diff --git a/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md b/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md
index 29ac18f46..fd7571461 100644
--- a/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md
+++ b/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md
@@ -22,4 +22,4 @@ The PatchModelAddDownscale node implements Kohya Deep Shrink functionality by ap
| `model` | MODEL | The modified model with downscale patch applied |
---
-**Source fingerprint (SHA-256):** `93ece77ad2dce3c1cdd554583ae1f2e6be51a43ab072d408869dddbcc7798c40`
+**Source fingerprint (SHA-256):** `ee6a1191bd753a669e676a58e2052ca4b47ac74d8f40df562df8550b0c71c3c2`
diff --git a/comfyui_embedded_docs/docs/PerpNeg/en.md b/comfyui_embedded_docs/docs/PerpNeg/en.md
index b2ec729ec..c5992808b 100644
--- a/comfyui_embedded_docs/docs/PerpNeg/en.md
+++ b/comfyui_embedded_docs/docs/PerpNeg/en.md
@@ -19,4 +19,4 @@ The PerpNeg node applies perpendicular negative guidance to a model's sampling p
**Note**: This node is deprecated and has been replaced by PerpNegGuider. It is marked as experimental and should not be used in production workflows.
---
-**Source fingerprint (SHA-256):** `6be4ab03cfbda33ed3966ecd579c1a5e3242bdfb163fecefb9c80073a8827cae`
+**Source fingerprint (SHA-256):** `016bd9a9a9ee42855c15b3e582ada03557297df9a786d977439edd9d3363a5ba`
diff --git a/comfyui_embedded_docs/docs/PerpNegGuider/en.md b/comfyui_embedded_docs/docs/PerpNegGuider/en.md
index d2c30d8fb..895ba71f7 100644
--- a/comfyui_embedded_docs/docs/PerpNegGuider/en.md
+++ b/comfyui_embedded_docs/docs/PerpNegGuider/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/en.md)
-The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm to steer the generation process. This node is designed for experimental testing and provides fine control over the guidance strength and negative scaling.
+The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm that computes all three noise predictions in a single batch for efficiency. This node is designed for experimental testing and provides fine control over the guidance strength and negative scaling.
## Inputs
@@ -9,9 +9,9 @@ The PerpNegGuider node creates a guidance system for controlling image generatio
| `model` | MODEL | Yes | - | The model to use for guidance generation |
| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content |
| `negative` | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content |
-| `empty_conditioning` | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference |
+| `empty_conditioning` | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference for perpendicular negative guidance |
| `cfg` | FLOAT | Yes | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) |
-| `neg_scale` | FLOAT | Yes | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of negative conditioning (default: 1.0) |
+| `neg_scale` | FLOAT | Yes | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of the perpendicular negative effect (default: 1.0) |
## Outputs
@@ -20,4 +20,4 @@ The PerpNegGuider node creates a guidance system for controlling image generatio
| `guider` | GUIDER | A configured guidance system ready for use in the generation pipeline |
---
-**Source fingerprint (SHA-256):** `efd3f78d461ade9d16885923875bacffb5afeafcbe32fc2d207598e0efe3a8c6`
+**Source fingerprint (SHA-256):** `02e4b4e0ea413da31c280cb1e510bdf5caa7b5187eb6de94632e45a91e881820`
diff --git a/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md b/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md
index d3d37591b..11e6a5a99 100644
--- a/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md
+++ b/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md
@@ -16,4 +16,4 @@ The PerturbedAttentionGuidance node applies perturbed attention guidance to a di
| `model` | MODEL | The modified model with perturbed attention guidance applied |
---
-**Source fingerprint (SHA-256):** `8808aa3a3f7cfe306e17f8f4424779cb8e4565647bbcc9d4907da2215affe191`
+**Source fingerprint (SHA-256):** `b4bcb5e8a0bf990d36d2865c58e6fbf3c9cee9d446f5aced987ddd04387d2b4c`
diff --git a/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md b/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md
index feff59396..beb5d6f61 100644
--- a/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md
+++ b/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md
@@ -1,12 +1,12 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md)
-The PhotoMakerEncode node processes images and text to generate conditioning data for AI image generation. It takes a reference image and text prompt, then creates embeddings that can be used to guide image generation based on the visual characteristics of the reference image. The node specifically looks for the "photomaker" token in the text to determine where to apply the image-based conditioning.
+The PhotoMakerEncode node processes a reference image and a text prompt to generate conditioning data for AI image generation. It uses the PhotoMaker model to combine visual characteristics from the image with text embeddings, specifically looking for the "photomaker" token in the text to determine where to apply the image-based conditioning.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `photomaker` | PHOTOMAKER | Yes | - | The PhotoMaker model used for processing the image and generating embeddings |
+| `photomaker` | PHOTOMAKER | Yes | - | The PhotoMaker model used for processing the image and generating image-based embeddings |
| `image` | IMAGE | Yes | - | The reference image that provides visual characteristics for conditioning |
| `clip` | CLIP | Yes | - | The CLIP model used for text tokenization and encoding |
| `text` | STRING | Yes | - | The text prompt for conditioning generation (default: "photograph of photomaker") |
@@ -17,7 +17,7 @@ The PhotoMakerEncode node processes images and text to generate conditioning dat
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `CONDITIONING` | CONDITIONING | The conditioning data containing image and text embeddings for guiding image generation |
+| `CONDITIONING` | CONDITIONING | The conditioning data containing image and text embeddings for guiding image generation, along with pooled output from the CLIP text encoder |
---
-**Source fingerprint (SHA-256):** `535fd3dbbe0e48205bebde030138ffca841dc94a18fd47db768a1066fe84bce4`
+**Source fingerprint (SHA-256):** `d3b669f4a1aee8add8262c19c7ea24852ea7308c4310dafd9d3bbe96920fb991`
diff --git a/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md b/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md
index 751040a8a..7f6cbe581 100644
--- a/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md
+++ b/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md
@@ -15,4 +15,4 @@ The PhotoMakerLoader node loads a PhotoMaker model from the available model file
| `photomaker_model` | PHOTOMAKER | The loaded PhotoMaker model containing the ID encoder, ready for use in identity encoding operations. |
---
-**Source fingerprint (SHA-256):** `4c55abacf8462d8de3d1f2a728d4b09ab1d1c8c6476d25cc4af5089508a721da`
+**Source fingerprint (SHA-256):** `43824e1afc147e8d85117eebce5cb47b9c0091a3a5b70f3e1ee0134a1482c6f3`
diff --git a/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md b/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md
index bb7393831..1b640b55f 100644
--- a/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md
@@ -24,4 +24,4 @@ Generates videos based on an input image and text prompt. This node takes an ima
| `output` | VIDEO | Generated video based on the input image and parameters |
---
-**Source fingerprint (SHA-256):** `7630c662a2506fb0c8be0cb9c6bfdfcf0fc06d2b6f16b8636664d587affededc`
+**Source fingerprint (SHA-256):** `4ca1624efc87e87de75c33aab850c84a0c8c786229930695fce479fe50455cb0`
diff --git a/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md b/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md
index e567f5bc3..f3e94e634 100644
--- a/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md
@@ -15,4 +15,4 @@ The PixVerse Template node allows you to select from available templates for Pix
| `pixverse_template` | STRING | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. |
---
-**Source fingerprint (SHA-256):** `d6ea1eb1cc9a7d33cf69f101990e601189726b9ef9e199fe211087f7070f35d0`
+**Source fingerprint (SHA-256):** `34daaf036f28b676b1048e8e4174ab34bf69328a94dd9e51696f6298936b4e84`
diff --git a/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md b/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md
index 707cfef98..e2fd2fb2e 100644
--- a/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md
@@ -7,10 +7,10 @@ Generates videos based on a text prompt and various generation parameters. This
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") |
-| `aspect_ratio` | COMBO | Yes | Options from PixverseAspectRatio | Aspect ratio for the generated video |
-| `quality` | COMBO | Yes | Options from PixverseQuality | Video quality setting (default: PixverseQuality.res_540p) |
-| `duration_seconds` | COMBO | Yes | Options from PixverseDuration | Duration of the generated video in seconds |
-| `motion_mode` | COMBO | Yes | Options from PixverseMotionMode | Motion style for the video generation |
+| `aspect_ratio` | COMBO | Yes | `"16:9"` `"9:16"` `"1:1"` | Aspect ratio for the generated video |
+| `quality` | COMBO | Yes | `"540p"` `"1080p"` | Video quality setting (default: "540p") |
+| `duration_seconds` | COMBO | Yes | `"5"` `"10"` | Duration of the generated video in seconds |
+| `motion_mode` | COMBO | Yes | `"normal"` `"fast"` | Motion style for the video generation |
| `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) |
| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") |
| `pixverse_template` | CUSTOM | No | - | An optional template to influence style of generation, created by the PixVerse Template node |
@@ -24,4 +24,4 @@ Generates videos based on a text prompt and various generation parameters. This
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `ab9264668f48533cb139abfb322e9a6e425a2ad7280da103a7fe0a7704158762`
+**Source fingerprint (SHA-256):** `dd065e218e3e8ca3d70b58f4d8afdecc33094635663c87f79467452ca47881c7`
diff --git a/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md b/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md
index 62299d942..abbe20302 100644
--- a/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md
@@ -24,4 +24,4 @@ Generates a transition video between two input images using the PixVerse API. Yo
| `output` | VIDEO | The generated transition video |
---
-**Source fingerprint (SHA-256):** `0b7f1e11d513c543df144031452bd9cd80e73c596aee8ffe9701bf471bf5983c`
+**Source fingerprint (SHA-256):** `941ba26ffdd5cc93d800066ccd75adc4ccdb9a1c9f93ae0ccd28a11ba5f3c567`
diff --git a/comfyui_embedded_docs/docs/Preview3D/ar.md b/comfyui_embedded_docs/docs/Preview3D/ar.md
index eff42d93f..e6304d710 100644
--- a/comfyui_embedded_docs/docs/Preview3D/ar.md
+++ b/comfyui_embedded_docs/docs/Preview3D/ar.md
@@ -38,7 +38,7 @@
### 1. عمليات العرض
diff --git a/comfyui_embedded_docs/docs/Preview3D/en.md b/comfyui_embedded_docs/docs/Preview3D/en.md
index c729fdb5d..6c2b8eb1c 100644
--- a/comfyui_embedded_docs/docs/Preview3D/en.md
+++ b/comfyui_embedded_docs/docs/Preview3D/en.md
@@ -36,7 +36,7 @@ The Canvas area includes various view operations, such as:
### 1. View Operations
diff --git a/comfyui_embedded_docs/docs/Preview3D/es.md b/comfyui_embedded_docs/docs/Preview3D/es.md
index 7b7ae82f6..94f041969 100644
--- a/comfyui_embedded_docs/docs/Preview3D/es.md
+++ b/comfyui_embedded_docs/docs/Preview3D/es.md
@@ -38,7 +38,7 @@ El área del Lienzo incluye varias operaciones de vista, tales como:
### 1. Operaciones de Vista
diff --git a/comfyui_embedded_docs/docs/Preview3D/fa.md b/comfyui_embedded_docs/docs/Preview3D/fa.md
index 0913a4873..1467fff15 100644
--- a/comfyui_embedded_docs/docs/Preview3D/fa.md
+++ b/comfyui_embedded_docs/docs/Preview3D/fa.md
@@ -38,7 +38,7 @@
### 1. عملیات نمایش
diff --git a/comfyui_embedded_docs/docs/Preview3D/fr.md b/comfyui_embedded_docs/docs/Preview3D/fr.md
index 3fdf2ad4e..b35526d04 100644
--- a/comfyui_embedded_docs/docs/Preview3D/fr.md
+++ b/comfyui_embedded_docs/docs/Preview3D/fr.md
@@ -40,7 +40,7 @@ La zone Canvas comprend diverses opérations de vue, telles que :
### 1. Opérations de vue
diff --git a/comfyui_embedded_docs/docs/Preview3D/ja.md b/comfyui_embedded_docs/docs/Preview3D/ja.md
index abe32245d..6b9366bf2 100644
--- a/comfyui_embedded_docs/docs/Preview3D/ja.md
+++ b/comfyui_embedded_docs/docs/Preview3D/ja.md
@@ -40,7 +40,7 @@ Preview3Dノードは、主に3Dモデルの出力をプレビューするため
### 1. ビュー操作
diff --git a/comfyui_embedded_docs/docs/Preview3D/ko.md b/comfyui_embedded_docs/docs/Preview3D/ko.md
index cc6c51caf..9f0f2103f 100644
--- a/comfyui_embedded_docs/docs/Preview3D/ko.md
+++ b/comfyui_embedded_docs/docs/Preview3D/ko.md
@@ -40,7 +40,7 @@ Preview3D 노드는 주로 3D 모델 출력을 미리 보는 데 사용됩니다
### 1. 뷰 조작
diff --git a/comfyui_embedded_docs/docs/Preview3D/pt-BR.md b/comfyui_embedded_docs/docs/Preview3D/pt-BR.md
index 08db16d8e..499313afb 100644
--- a/comfyui_embedded_docs/docs/Preview3D/pt-BR.md
+++ b/comfyui_embedded_docs/docs/Preview3D/pt-BR.md
@@ -38,7 +38,7 @@ A área do Canvas inclui várias operações de visualização, como:
### 1. Operações de Visualização
diff --git a/comfyui_embedded_docs/docs/Preview3D/ru.md b/comfyui_embedded_docs/docs/Preview3D/ru.md
index a0c667256..bc17ae662 100644
--- a/comfyui_embedded_docs/docs/Preview3D/ru.md
+++ b/comfyui_embedded_docs/docs/Preview3D/ru.md
@@ -40,7 +40,7 @@
### 1. Операции с видом
diff --git a/comfyui_embedded_docs/docs/Preview3D/tr.md b/comfyui_embedded_docs/docs/Preview3D/tr.md
index a0035d9fc..4ce71722d 100644
--- a/comfyui_embedded_docs/docs/Preview3D/tr.md
+++ b/comfyui_embedded_docs/docs/Preview3D/tr.md
@@ -38,7 +38,7 @@ Tuval alanı, aşağıdakiler gibi çeşitli görünüm işlemlerini içerir:
### 1. Görünüm İşlemleri
diff --git a/comfyui_embedded_docs/docs/Preview3D/zh-TW.md b/comfyui_embedded_docs/docs/Preview3D/zh-TW.md
index 78a38f0e1..702e1bbb6 100644
--- a/comfyui_embedded_docs/docs/Preview3D/zh-TW.md
+++ b/comfyui_embedded_docs/docs/Preview3D/zh-TW.md
@@ -38,7 +38,7 @@ Preview3D 節點主要用於預覽 3D 模型輸出。此節點接受兩個輸入
### 1. 視圖操作
diff --git a/comfyui_embedded_docs/docs/Preview3D/zh.md b/comfyui_embedded_docs/docs/Preview3D/zh.md
index 6ada08099..97b4d43c2 100644
--- a/comfyui_embedded_docs/docs/Preview3D/zh.md
+++ b/comfyui_embedded_docs/docs/Preview3D/zh.md
@@ -38,7 +38,7 @@ Preview3D 节点主要用于预览 3D 模型输出。此节点接受两个输入
### 1. 视图操作
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/ar.md b/comfyui_embedded_docs/docs/Preview3DAnimation/ar.md
index 2c31a29cc..68d6f4a8a 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/ar.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/ar.md
@@ -38,7 +38,7 @@
### 1. عمليات العرض
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/en.md b/comfyui_embedded_docs/docs/Preview3DAnimation/en.md
index cdc6d3adf..f9be92ca9 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/en.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/en.md
@@ -36,7 +36,7 @@ The Canvas area includes various view operations, such as:
### 1. View Operations
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/es.md b/comfyui_embedded_docs/docs/Preview3DAnimation/es.md
index 4ff2fb0af..e9f26a5cf 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/es.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/es.md
@@ -38,7 +38,7 @@ El área de Lienzo incluye varias operaciones de vista, tales como:
### 1. Operaciones de Vista
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/fa.md b/comfyui_embedded_docs/docs/Preview3DAnimation/fa.md
index bc2657d93..302425fe7 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/fa.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/fa.md
@@ -40,7 +40,7 @@
### 1. عملیات نمایشی
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/fr.md b/comfyui_embedded_docs/docs/Preview3DAnimation/fr.md
index f27d64c74..61618d581 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/fr.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/fr.md
@@ -38,7 +38,7 @@ La zone de canevas comprend diverses opérations de vue, telles que :
### 1. Opérations de vue
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md b/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md
index 7edff400a..8c472cc68 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md
@@ -40,7 +40,7 @@ Preview3DAnimationノードは、主に3Dモデルの出力をプレビューす
### 1. ビュー操作
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/ko.md b/comfyui_embedded_docs/docs/Preview3DAnimation/ko.md
index 3213772ef..b33ed3eb7 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/ko.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/ko.md
@@ -40,7 +40,7 @@ Preview3DAnimation 노드는 주로 3D 모델 출력을 미리보기 위한 노
### 1. 뷰 조작
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/pt-BR.md b/comfyui_embedded_docs/docs/Preview3DAnimation/pt-BR.md
index 9e776f193..257961f00 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/pt-BR.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/pt-BR.md
@@ -38,7 +38,7 @@ A área do Canvas inclui várias operações de visualização, como:
### 1. Operações de Visualização
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/ru.md b/comfyui_embedded_docs/docs/Preview3DAnimation/ru.md
index b3104bb2d..971ed362f 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/ru.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/ru.md
@@ -40,7 +40,7 @@
### 1. Операции просмотра
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/tr.md b/comfyui_embedded_docs/docs/Preview3DAnimation/tr.md
index 1266e68ad..aa2b6fb55 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/tr.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/tr.md
@@ -38,7 +38,7 @@ Tuval alanı, aşağıdakiler gibi çeşitli görünüm işlemlerini içerir:
### 1. Görünüm İşlemleri
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/zh-TW.md b/comfyui_embedded_docs/docs/Preview3DAnimation/zh-TW.md
index d42877ead..849c99153 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/zh-TW.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/zh-TW.md
@@ -38,7 +38,7 @@ Preview3DAnimation 節點主要用於預覽 3D 模型輸出。此節點接受兩
### 1. 視圖操作
diff --git a/comfyui_embedded_docs/docs/Preview3DAnimation/zh.md b/comfyui_embedded_docs/docs/Preview3DAnimation/zh.md
index 529c9c815..3ad4f04db 100644
--- a/comfyui_embedded_docs/docs/Preview3DAnimation/zh.md
+++ b/comfyui_embedded_docs/docs/Preview3DAnimation/zh.md
@@ -38,7 +38,7 @@ Preview3DAnimation 节点主要用于预览 3D 模型输出。此节点接受两
### 1. 视图操作
diff --git a/comfyui_embedded_docs/docs/PreviewAudio/en.md b/comfyui_embedded_docs/docs/PreviewAudio/en.md
index 95546510f..3f3e1156b 100644
--- a/comfyui_embedded_docs/docs/PreviewAudio/en.md
+++ b/comfyui_embedded_docs/docs/PreviewAudio/en.md
@@ -6,7 +6,7 @@ The PreviewAudio node creates a temporary audio preview that can be played direc
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `audio` | AUDIO | Yes | - | The audio data to preview |
+| `audio` | AUDIO | Yes | - | The audio data to preview. This node will raise an error if the input audio is None, which can happen when the source video has no audio track. |
## Outputs
@@ -15,4 +15,4 @@ The PreviewAudio node creates a temporary audio preview that can be played direc
| `ui` | UI | Displays an audio player widget in the interface for previewing the audio |
---
-**Source fingerprint (SHA-256):** `3f4b38e9768abde9d7f406c5442660679b80532799dfff8af20b2ea178268582`
+**Source fingerprint (SHA-256):** `d914d634c063cc97e3cd24b813250d1e5b0e4bce23dfe97d475259a53b3212d2`
diff --git a/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md b/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md
index 1625d8e8a..c55a73050 100644
--- a/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md
+++ b/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md
@@ -15,4 +15,4 @@ The Boolean node provides a simple way to pass boolean (true/false) values throu
| `output` | BOOLEAN | The same boolean value that was provided as input |
---
-**Source fingerprint (SHA-256):** `3913c2e23480710c9c9f003538b89ed0ab73cb4b47c587c5bf884b9c666999e0`
+**Source fingerprint (SHA-256):** `79442504184760e90a61eea787bb5e67f40e051b2ca8ee9bf6275f149bf7568b`
diff --git a/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md b/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md
index ad0cb1ed0..5b4cfe0a5 100644
--- a/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md
+++ b/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md
@@ -18,4 +18,4 @@ The PrimitiveBoundingBox node creates a simple rectangular area defined by its p
| `bounding_box` | BOUNDING_BOX | A data structure containing the `x`, `y`, `width`, and `height` properties of the defined rectangle. |
---
-**Source fingerprint (SHA-256):** `715f1a2bd650ecd6ba2ea3c1d54636bc32dff4fb4aec8f088ee9b0994809412c`
+**Source fingerprint (SHA-256):** `3a91a1a2656fa46f8257334bbaf3bcba861ab91da8ebbfcefe7d5f3547dd307f`
diff --git a/comfyui_embedded_docs/docs/PrimitiveFloat/en.md b/comfyui_embedded_docs/docs/PrimitiveFloat/en.md
index f332d6f03..05c62576d 100644
--- a/comfyui_embedded_docs/docs/PrimitiveFloat/en.md
+++ b/comfyui_embedded_docs/docs/PrimitiveFloat/en.md
@@ -15,4 +15,4 @@ The PrimitiveFloat node creates a floating-point number value that can be used i
| `output` | FLOAT | The input floating-point number value |
---
-**Source fingerprint (SHA-256):** `a12473ac0efac903249f249770bec92a562b1ef6dede45fc0296e0e397a0754f`
+**Source fingerprint (SHA-256):** `92f1603421dfcc06867f001222ca49b322de1537e05336f94e250a9422236d11`
diff --git a/comfyui_embedded_docs/docs/PrimitiveInt/en.md b/comfyui_embedded_docs/docs/PrimitiveInt/en.md
index 3a3951e3a..ae1724700 100644
--- a/comfyui_embedded_docs/docs/PrimitiveInt/en.md
+++ b/comfyui_embedded_docs/docs/PrimitiveInt/en.md
@@ -15,4 +15,4 @@ The PrimitiveInt node provides a simple way to work with integer values in your
| `output` | INT | The input integer value passed through unchanged |
---
-**Source fingerprint (SHA-256):** `13b5ff6703498fd37ae48d574e010cf78aa2bfc514b68c34b2cf6740ed75c834`
+**Source fingerprint (SHA-256):** `79e0bad8e15fd660ee405ad34bf4f1cd76d2c37494f640be1ddf4d9fe8cbb9a0`
diff --git a/comfyui_embedded_docs/docs/PrimitiveString/en.md b/comfyui_embedded_docs/docs/PrimitiveString/en.md
index fb4eb9f88..261f2b80e 100644
--- a/comfyui_embedded_docs/docs/PrimitiveString/en.md
+++ b/comfyui_embedded_docs/docs/PrimitiveString/en.md
@@ -15,4 +15,4 @@ The String node provides a simple way to input and pass through text data in you
| `output` | STRING | The same text string that was provided as input |
---
-**Source fingerprint (SHA-256):** `eb99ed1b8572c0d28df7185d64a35dc71488459dcd11a46f81c5a1f202b25d62`
+**Source fingerprint (SHA-256):** `4e7b3a07572480f9138b7c77268581875b91599964382c11a8f5fbcd7f76f213`
diff --git a/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md b/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md
index ad844a4d1..b72380ae8 100644
--- a/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md
+++ b/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md
@@ -15,4 +15,4 @@ The PrimitiveStringMultiline node provides a multiline text input field for ente
| `output` | STRING | The same string value that was provided as input |
---
-**Source fingerprint (SHA-256):** `a2faaf366d6316d659b749ec6077b944f9b0f1ad702d699acc3897aef842b937`
+**Source fingerprint (SHA-256):** `cc3e3f09f71f91721c338649699ffb8822de5109a2892e93eb9746ba3c9b22fb`
diff --git a/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md b/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md
index a4a42b1d0..59c92a5c1 100644
--- a/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md
+++ b/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md
@@ -18,4 +18,4 @@ This node converts a raster image into a scalable vector graphic (SVG) using Qui
| `SVG` | SVG | The vectorized SVG output. |
---
-**Source fingerprint (SHA-256):** `4539277fd6c23aef149c44eeafca4d373cad658d85872de0883245eb4f2479e8`
+**Source fingerprint (SHA-256):** `f2e411bd3ed235d04a94cb3e5c26990eb30404c3329e9c91e705d3039d2d8089`
diff --git a/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md b/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md
index 2c05363d5..8a74c152a 100644
--- a/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md
+++ b/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md
@@ -21,4 +21,4 @@ The Quiver Text to SVG node generates a Scalable Vector Graphic (SVG) image from
| `SVG` | SVG | The generated Scalable Vector Graphic (SVG) image. |
---
-**Source fingerprint (SHA-256):** `634758797a59e5a409424deee808e1d8b5b5852a86eac4bccd7f2634a19fb743`
+**Source fingerprint (SHA-256):** `dd5edd1be1c3cfd4b651896a1b020da7005f72097e0dcf09b947be0b771b8756`
diff --git a/comfyui_embedded_docs/docs/RTDETR_detect/en.md b/comfyui_embedded_docs/docs/RTDETR_detect/en.md
index bd13666cb..7bc6080c6 100644
--- a/comfyui_embedded_docs/docs/RTDETR_detect/en.md
+++ b/comfyui_embedded_docs/docs/RTDETR_detect/en.md
@@ -19,4 +19,4 @@ The RT-DETR Detect node performs object detection on input images using an RT-DE
| `bboxes` | BOUNDINGBOX | A list of bounding boxes for each input image. Each box contains coordinates (x, y, width, height), a class label, and a confidence score. |
---
-**Source fingerprint (SHA-256):** `0c32aa9e17b8ea81e52cb45df2a40f7c1faeb39fdf18dfc643d1d31ed0bfdefd`
+**Source fingerprint (SHA-256):** `2abc841cc439138bbd944a2e0f9dc5f76e373b158b3b5caed0d9dd405b7f3538`
diff --git a/comfyui_embedded_docs/docs/RandomCropImages/en.md b/comfyui_embedded_docs/docs/RandomCropImages/en.md
index ae2491ac6..a3d0556a6 100644
--- a/comfyui_embedded_docs/docs/RandomCropImages/en.md
+++ b/comfyui_embedded_docs/docs/RandomCropImages/en.md
@@ -20,4 +20,4 @@ The Random Crop Images node randomly selects a rectangular section from each inp
| `image` | IMAGE | The resulting image after the random crop has been applied. |
---
-**Source fingerprint (SHA-256):** `bc4aca8cc63bde28fee906a92463b73436ba48ba69d7c1ff13881ac900e252a8`
+**Source fingerprint (SHA-256):** `8452a07a1cf66a520fb482f5239df3f33cfe3a77a28e289894ccd1d2544ecf40`
diff --git a/comfyui_embedded_docs/docs/RandomNoise/en.md b/comfyui_embedded_docs/docs/RandomNoise/en.md
index 64d0343c7..45d088b4d 100644
--- a/comfyui_embedded_docs/docs/RandomNoise/en.md
+++ b/comfyui_embedded_docs/docs/RandomNoise/en.md
@@ -15,4 +15,4 @@ The RandomNoise node generates random noise patterns based on a seed value. It c
| `noise` | NOISE | The generated random noise pattern based on the provided seed value. |
---
-**Source fingerprint (SHA-256):** `893d3eefdef78592ba3cc403ec1e4bf3a672607abe79f05db1b65078d6b9ea20`
+**Source fingerprint (SHA-256):** `fcbf92e8b1c1ff001da302208ba4a3960deb1246d76179ceba0b31af6be77203`
diff --git a/comfyui_embedded_docs/docs/RecordAudio/en.md b/comfyui_embedded_docs/docs/RecordAudio/en.md
index 1e668b375..69ebaf96a 100644
--- a/comfyui_embedded_docs/docs/RecordAudio/en.md
+++ b/comfyui_embedded_docs/docs/RecordAudio/en.md
@@ -15,4 +15,4 @@ The RecordAudio node loads audio files that have been recorded or selected throu
| `AUDIO` | AUDIO | The processed audio data containing waveform and sample rate information |
---
-**Source fingerprint (SHA-256):** `3648f3c71f60f69e9ca117e25e9706187470866a1869ba9b8e5feceb42a7493a`
+**Source fingerprint (SHA-256):** `ca4dde492ecc4f57fcf87b022162692e3123ee90cce51186433ff8f14f606b70`
diff --git a/comfyui_embedded_docs/docs/RecraftColorRGB/en.md b/comfyui_embedded_docs/docs/RecraftColorRGB/en.md
index 70682b07c..93750a6d3 100644
--- a/comfyui_embedded_docs/docs/RecraftColorRGB/en.md
+++ b/comfyui_embedded_docs/docs/RecraftColorRGB/en.md
@@ -18,4 +18,4 @@ Create a Recraft color by specifying individual red, green, and blue values. Thi
| `recraft_color` | COLOR | The created Recraft color object containing the specified RGB values, or the extended color chain if an existing one was provided |
---
-**Source fingerprint (SHA-256):** `8c3503632d085fa4c1771f92f17008b7b051e9604d9e7d1e7d352cbbbd22dddc`
+**Source fingerprint (SHA-256):** `3c645f17232a1c646b6b64dab658a48dc4aa4c10c2daee9451977f824c3bf2c2`
diff --git a/comfyui_embedded_docs/docs/RecraftControls/en.md b/comfyui_embedded_docs/docs/RecraftControls/en.md
index 8f5f99dfe..25d604dfe 100644
--- a/comfyui_embedded_docs/docs/RecraftControls/en.md
+++ b/comfyui_embedded_docs/docs/RecraftControls/en.md
@@ -16,4 +16,4 @@ Creates Recraft Controls for customizing Recraft generation. This node allows yo
| `recraft_controls` | CONTROLS | The configured Recraft controls containing color settings |
---
-**Source fingerprint (SHA-256):** `47d9640ca3a60250b25a7f6fa96367716db50a667ff4b2bb8d47ceb962420152`
+**Source fingerprint (SHA-256):** `3d07c8ca226e19849ebe5d37d93f129c77930a6971e58fe73abc2a47a58ee42e`
diff --git a/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md b/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md
index 1926d8568..d548c44e2 100644
--- a/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md
@@ -18,4 +18,4 @@ This node creates a custom style for image generation by uploading reference ima
| `style_id` | STRING | The unique identifier for the newly created custom style. |
---
-**Source fingerprint (SHA-256):** `36340e64d90b3edbbecedf15ac123adaabb5bc0c950183d2df6627dc873da61c`
+**Source fingerprint (SHA-256):** `9f6d6f87621b72fcbf19200e7b2461c9a22160311c77411e9ddd06ee2053dc63`
diff --git a/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md b/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md
index f1a2c7340..b02d3af79 100644
--- a/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md
@@ -15,4 +15,4 @@ The Recraft Creative Upscale Image node enhances a raster image by increasing it
| `image` | IMAGE | The resulting upscaled image with enhanced details. |
---
-**Source fingerprint (SHA-256):** `b638dd926e144c47ad2c2968cf49f3d322cbdddfcb8b2e86edb3ae9558a1ded6`
+**Source fingerprint (SHA-256):** `1dc5cd9d6f0c5a269d20ad94e417d31abc20c4ef8dd673f926ab4aceb2b6d924`
diff --git a/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md b/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md
index 9eaf7176a..0ff59aa49 100644
--- a/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md
@@ -15,4 +15,4 @@ Upscale image synchronously. Enhances a given raster image using the 'crisp upsc
| `image` | IMAGE | The upscaled image with enhanced resolution and clarity. Returns a batch of images if a batch was provided as input. |
---
-**Source fingerprint (SHA-256):** `2c7f6cf4dc801ac83b365bfc501baffb573aa8dde432fa56c57b3d522b4068c6`
+**Source fingerprint (SHA-256):** `4683d62ca72ce624ad96b41e4abbbcf3df8c8e11f473f1729a675fba78a9ccc0`
diff --git a/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md b/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md
index 4b7f5a499..5e2035b89 100644
--- a/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md
@@ -14,7 +14,7 @@ This node modifies specific areas of an image based on a text prompt and a mask.
| `recraft_style` | STYLEV3 | No | - | Optional style parameter for the Recraft API. If not provided, defaults to "realistic_image" style |
| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) |
-*Note: The `image` and `mask` must be provided together for the inpainting operation to work. The mask will be automatically resized to match the image dimensions. The `prompt` is validated and has a maximum length of 1000 characters.*
+*Note: The `image` and `mask` must be provided together for the inpainting operation to work. The mask will be automatically resized to match the image dimensions. The `prompt` is validated and has a maximum length of 1000 characters. If a `style_id` from the Infinite Style Library is used, ensure it is not a Vector art style, as this may cause the API to return SVG data instead of an image.*
## Outputs
@@ -23,4 +23,4 @@ This node modifies specific areas of an image based on a text prompt and a mask.
| `image` | IMAGE | The modified image(s) generated based on the prompt and mask. Returns one image per input image multiplied by the `n` parameter |
---
-**Source fingerprint (SHA-256):** `3eb6505a19173d8e4ea4216348f9592fd996cdfe2f07a9e79ccec5f738a8fb93`
+**Source fingerprint (SHA-256):** `c0871ae6510d42f5525701dd622f2f84a65103a7eec053635c4bd64102a2a4e6`
diff --git a/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md b/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md
index 5dfe4d87e..56793b7c1 100644
--- a/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md
@@ -15,7 +15,7 @@ This node modifies an existing image based on a text prompt and strength paramet
| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") |
| `recraft_controls` | CONTROLS | No | - | Optional additional controls over the generation via the Recraft Controls node |
-**Note:** The `seed` parameter only triggers re-execution of the node but does not guarantee deterministic results. The strength parameter is rounded to 2 decimal places internally. The prompt is validated and must not exceed 1000 characters. If `recraft_style` is not provided, the node defaults to the `realistic_image` style.
+**Note:** The `seed` parameter only triggers re-execution of the node but does not guarantee deterministic results. The strength parameter is rounded to 2 decimal places internally. The prompt is validated and must not exceed 1000 characters. If `recraft_style` is not provided, the node defaults to the `realistic_image` style. If you use a `style_id` from the Infinite Style Library, ensure it is not a Vector art style, as this may cause the node to receive SVG data instead of an image, resulting in an error.
## Outputs
@@ -24,4 +24,4 @@ This node modifies an existing image based on a text prompt and strength paramet
| `image` | IMAGE | The generated image(s) based on the input image and prompt |
---
-**Source fingerprint (SHA-256):** `e47ab70e77186e62c253c976cdd7942cfb949ba6461914d2b4341f3eca8e14aa`
+**Source fingerprint (SHA-256):** `15f0f42a1c217abcffeff3836ec77d8a94b37143fdff45d69e1a645f5ffac939`
diff --git a/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md b/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md
index cd14ac821..b27905be1 100644
--- a/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md
@@ -16,4 +16,4 @@ This node removes the background from images using the Recraft API service. It p
| `mask` | MASK | Alpha channel masks indicating the removed background areas |
---
-**Source fingerprint (SHA-256):** `9e3f1a0471da3afda6b8de26de3b7e78c1070c49ab49e4fc8b6b79bb10ff77de`
+**Source fingerprint (SHA-256):** `8bced9bb96c179101a2122fb5990cb3015313ad6ca888adf7a37b082b2e8a656`
diff --git a/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md b/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md
index 691c743e1..63039b17c 100644
--- a/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md
@@ -22,4 +22,4 @@ Replace background on image, based on provided prompt. This node uses the Recraf
| `IMAGE` | IMAGE | The generated image(s) with replaced background |
---
-**Source fingerprint (SHA-256):** `305cb8c542159a089b1fa03971205b23d50c8a328af006e284fb27011070f6bd`
+**Source fingerprint (SHA-256):** `ce14005093aaac30de3de84c43bd46c0a3327d0ba8de4ea7ec62afa2028c1cae`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md
index d4b7ffaad..90468d833 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md
@@ -15,4 +15,4 @@ This node configures a style for use with the Recraft API, specifically selectin
| `recraft_style` | STYLEV3 | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. |
---
-**Source fingerprint (SHA-256):** `e52790a670839608ee1cb576e802a54d3bf2ca879ec288a24acd4ac7db27021a`
+**Source fingerprint (SHA-256):** `167b5f875e1d9ec39dd830d98349fe34b23a3ac870cff8329bc834fe13a5fc8f`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md
index e034dee34..a310c29d8 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md
@@ -17,4 +17,4 @@ This node allows you to select a style from Recraft's Infinite Style Library usi
| `recraft_style` | STYLEV3 | The selected style object from Recraft's Infinite Style Library |
---
-**Source fingerprint (SHA-256):** `37d7d9eff1232cc17912c6fca908dc5b8c404c0b6cf0a36e8fecc837ff2a1eea`
+**Source fingerprint (SHA-256):** `c613e153fa56f403367f132a2592b853327a28cc640faab061dfe373b0202e21`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md
index e97d4e28f..f45fcf3c3 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md
@@ -6,7 +6,7 @@ This node selects the logo raster style and an optional substyle for generating
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `substyle` | STRING | Yes | Multiple options available | The specific logo raster substyle to apply for logo generation |
+| `substyle` | STRING | Yes | `"none"` `"bold"` `"minimal"` `"vibrant"` `"handdrawn"` `"geometric"` `"vintage"` `"neon"` `"gradient"` `"flat"` `"outline"` `"mascot"` `"badge"` `"abstract"` `"retro"` `"modern"` `"playful"` `"luxury"` `"tech"` `"nature"` `"food"` `"sport"` `"fashion"` `"music"` `"travel"` `"education"` `"health"` `"finance"` `"realestate"` `"nonprofit"` | The specific logo raster substyle to apply for logo generation (default: `"none"`) |
## Outputs
@@ -15,4 +15,4 @@ This node selects the logo raster style and an optional substyle for generating
| `recraft_style` | CUSTOM | The selected Recraft style configuration, including the logo raster style and chosen substyle |
---
-**Source fingerprint (SHA-256):** `cf4a7953e36ea824b4ddd00060174ede017d30640a70099b106b6de7f49fefbb`
+**Source fingerprint (SHA-256):** `a9912e3a9f634cf3e4402cc71e934a636a448ecbfa7664f5167289d4526e4d4f`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md
index b0f2ea506..d39c821a7 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md
@@ -15,4 +15,4 @@ This node creates a style configuration for generating realistic images using Re
| `recraft_style` | STYLEV3 | A Recraft style configuration object containing the `realistic_image` style and the selected substyle settings. This output can be connected to other Recraft nodes that accept a style input. |
---
-**Source fingerprint (SHA-256):** `23eafae0a00f1806052a6583db791a5c1fd418ea940ed6463824dffe843ed0d7`
+**Source fingerprint (SHA-256):** `967e52e32456299da342a3d87f46f180f17aa1505cb2a3d22ee5f50cda79e8e3`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md
index f4914a4c3..23e75329b 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md
@@ -15,4 +15,4 @@ This node configures a style for use with the Recraft API, specifically selectin
| `recraft_style` | STYLEV3 | A Recraft API style configuration object containing the selected `vector_illustration` style and optional substyle. This can be connected to other Recraft nodes. |
---
-**Source fingerprint (SHA-256):** `acd7a6decfdd052a0ff3c01a66dfdd4aa37a711ed6e2e123cc9a424b738b1346`
+**Source fingerprint (SHA-256):** `c57ffa5504fff8430f8193f97d4d991b9373e688a4b412ff4926ef356aef0dc9`
diff --git a/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md b/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md
index 0fbfea146..f72cd8296 100644
--- a/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md
@@ -18,6 +18,8 @@ Generates images synchronously based on prompt and resolution. This node connect
**Note:** The `prompt` parameter must be between 1 and 1000 characters in length.
+**Note:** If you use a `style_id` from the Infinite Style Library, ensure it is not a Vector art style, as this will return SVG data instead of an image and cause an error.
+
## Outputs
| Output Name | Data Type | Description |
@@ -25,4 +27,4 @@ Generates images synchronously based on prompt and resolution. This node connect
| `IMAGE` | IMAGE | The generated image(s) as a batched tensor output. When multiple images are generated (n > 1), they are concatenated along the batch dimension. |
---
-**Source fingerprint (SHA-256):** `28c510ccfad13ddb50700b465af14deaa3c7c1f8597fef048d89094fd24fcd7d`
+**Source fingerprint (SHA-256):** `946010fbb6a5b99eed11e74de0733f64a270fa62910acf942749c76e0b5448f3`
diff --git a/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md b/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md
index 1cf73abe9..16999882e 100644
--- a/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md
@@ -23,4 +23,4 @@ Generates SVG vector illustrations synchronously based on a text prompt and reso
| `SVG` | SVG | The generated vector illustration in SVG format |
---
-**Source fingerprint (SHA-256):** `3ac4057fa100a207c0400d0d01756899fc02261e3fb7d962fb0057e6c6519100`
+**Source fingerprint (SHA-256):** `b7b89e929a6d8dba78c0078962c9dde5c803bcff51350b0fb21c0cbd4c725ffe`
diff --git a/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md b/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md
index 9e0256784..97a01e516 100644
--- a/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md
@@ -23,4 +23,4 @@ This node generates images from text descriptions using the Recraft V4 or V4 Pro
| `output` | IMAGE | The generated image or batch of images. |
---
-**Source fingerprint (SHA-256):** `77d549a43aeee670b6c42069654017fb6b202ed83ca330389573b790bad6ae6e`
+**Source fingerprint (SHA-256):** `b116fc35810d9cd246742b3ee1e3ce5472e79a467981ffb994cd1e2c53f0f086`
diff --git a/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md b/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md
index ded53e607..4f1e77645 100644
--- a/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md
@@ -23,4 +23,4 @@ The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illu
| `output` | SVG | The generated Scalable Vector Graphics (SVG) image(s). |
---
-**Source fingerprint (SHA-256):** `ffab67555923cea29b50ae71e3ffaad13340aead4d01973a70244468fae4420d`
+**Source fingerprint (SHA-256):** `e2524f2607068f2115cf7a192cb9a4f77fbe4e2535108e3c7167923d599fd212`
diff --git a/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md b/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md
index f6473bbf4..396713c5e 100644
--- a/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md
@@ -1,18 +1,18 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md)
-Generates SVG synchronously from an input image. This node converts raster images into vector graphics format by processing each image in the input batch and combining the results into a single SVG output.
+Generates SVG vector graphics from an input image. This node converts raster images into scalable vector format by sending each image to the Recraft API and combining the results into a single SVG output.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `image` | IMAGE | Yes | - | The input image to convert to SVG format |
+| `image` | IMAGE | Yes | - | The input image to convert to SVG format. Supports batch processing of multiple images. |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `SVG` | SVG | The generated vector graphics output combining all processed images |
+| `SVG` | SVG | The generated vector graphics output combining all processed images into a single SVG document. |
---
-**Source fingerprint (SHA-256):** `acd6b5bdb90ad01c0201e434fff84923dbe8a253f7fc5c46efb2d7413f49a8bd`
+**Source fingerprint (SHA-256):** `de221f8156396cd3c95b30840e446811c2a5f8f09d66028cbc2dbe2a551fc4cd`
diff --git a/comfyui_embedded_docs/docs/ReferenceLatent/en.md b/comfyui_embedded_docs/docs/ReferenceLatent/en.md
index cb090a074..be5f091d8 100644
--- a/comfyui_embedded_docs/docs/ReferenceLatent/en.md
+++ b/comfyui_embedded_docs/docs/ReferenceLatent/en.md
@@ -16,4 +16,4 @@ This node sets the guiding latent for an edit model. It takes conditioning data
| `output` | CONDITIONING | The modified conditioning data containing reference latent information |
---
-**Source fingerprint (SHA-256):** `d233778cfa7d6f057509f93f8445a0bbf151308e430fc50e28577f48cf136b53`
+**Source fingerprint (SHA-256):** `8465db01a0929ae27ac05419f93f0c206835924f1c0196b874fff9adb1834656`
diff --git a/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md b/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md
index a62f4da61..39691f689 100644
--- a/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md
+++ b/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md
@@ -16,4 +16,4 @@ This node sets a reference audio timbre for use in the "ace step 1.5" process. I
| `conditioning` | CONDITIONING | The modified conditioning data, now containing the reference audio timbre latents if the optional `latent` input was provided. |
---
-**Source fingerprint (SHA-256):** `2d39399eb79cfe76b72d01326b89863e2553bc23414b1166d310e5222b215b29`
+**Source fingerprint (SHA-256):** `b4bd556add87f8da2cdb7d0d63da620b508de302ae1d674d2bcb7bc771e60a5d`
diff --git a/comfyui_embedded_docs/docs/RegexExtract/en.md b/comfyui_embedded_docs/docs/RegexExtract/en.md
index 8badb58bc..4f0fff7ba 100644
--- a/comfyui_embedded_docs/docs/RegexExtract/en.md
+++ b/comfyui_embedded_docs/docs/RegexExtract/en.md
@@ -23,4 +23,4 @@ The RegexExtract node searches for patterns in text using regular expressions. I
| `output` | STRING | The extracted text based on the selected mode and parameters |
---
-**Source fingerprint (SHA-256):** `38e365d21bea966ed65bc78c184766330924fe75392cdb88c6978052037f5d5f`
+**Source fingerprint (SHA-256):** `a879e4fd7429edfada44b2f5778bb71e537a000be6c25d3f67359b9ee802812f`
diff --git a/comfyui_embedded_docs/docs/RegexMatch/en.md b/comfyui_embedded_docs/docs/RegexMatch/en.md
index a6c02faeb..e41354e8c 100644
--- a/comfyui_embedded_docs/docs/RegexMatch/en.md
+++ b/comfyui_embedded_docs/docs/RegexMatch/en.md
@@ -19,4 +19,4 @@ The RegexMatch node checks if a text string contains a match for a given regular
| `matches` | BOOLEAN | Returns True if the regex pattern matches any part of the input string, False otherwise |
---
-**Source fingerprint (SHA-256):** `b0ee05277edd8600d880051aa33a940c01abc170553515ab02960f25b1aec2be`
+**Source fingerprint (SHA-256):** `4f0fa717bde7406e42d9a99599eab546690140166d2bb01bb4fde3c5d60e0397`
diff --git a/comfyui_embedded_docs/docs/RegexReplace/en.md b/comfyui_embedded_docs/docs/RegexReplace/en.md
index 5c504ed6f..8faa42fc4 100644
--- a/comfyui_embedded_docs/docs/RegexReplace/en.md
+++ b/comfyui_embedded_docs/docs/RegexReplace/en.md
@@ -21,4 +21,4 @@ The RegexReplace node finds and replaces text in strings using regular expressio
| `output` | STRING | The modified string with the specified replacements applied |
---
-**Source fingerprint (SHA-256):** `4a4d4b317ee23314a4ac26cf3b58a2cc904bfb8111608f88345c1014b801ea00`
+**Source fingerprint (SHA-256):** `58d4ec055aa5901b0e536bb2ca6993053ea85a9269d09cdcdf584df935d6876d`
diff --git a/comfyui_embedded_docs/docs/RemoveBackground/en.md b/comfyui_embedded_docs/docs/RemoveBackground/en.md
index a6e9469e5..fb9fc11a3 100644
--- a/comfyui_embedded_docs/docs/RemoveBackground/en.md
+++ b/comfyui_embedded_docs/docs/RemoveBackground/en.md
@@ -2,7 +2,7 @@
## Overview
-The Remove Background node uses a background removal model to generate a mask that separates the foreground subject from the background of an input image. It takes an image and a background removal model, then produces a mask highlighting the main subject.
+The Remove Background node generates a foreground mask that separates the main subject from the background of an input image. It uses a background removal model to analyze the image and produce a mask highlighting the foreground elements.
## Inputs
@@ -18,4 +18,4 @@ The Remove Background node uses a background removal model to generate a mask th
| `mask` | MASK | Generated foreground mask that highlights the main subject of the input image |
---
-**Source fingerprint (SHA-256):** `cd19134e6afed4d31096b613dd534eacad39afe7de2c8b74feab512bd5f09f66`
+**Source fingerprint (SHA-256):** `6b0e31792dc8a5c949944680129e91790ca396336a43ac67b7816b9d6c5b9049`
diff --git a/comfyui_embedded_docs/docs/RenormCFG/en.md b/comfyui_embedded_docs/docs/RenormCFG/en.md
index b60215698..6ca7bd6e3 100644
--- a/comfyui_embedded_docs/docs/RenormCFG/en.md
+++ b/comfyui_embedded_docs/docs/RenormCFG/en.md
@@ -17,4 +17,4 @@ The RenormCFG node modifies the classifier-free guidance (CFG) process in diffus
| `model` | MODEL | The modified model with renormalized CFG function applied |
---
-**Source fingerprint (SHA-256):** `b59929606f7519574b7ad14a3caacee51e4f141dd6be3abb594217bcfdbc401e`
+**Source fingerprint (SHA-256):** `1fb74c816d82d39e030a25e372c01f251a42c7fe6314cc6cefbad984acb262d3`
diff --git a/comfyui_embedded_docs/docs/ReplaceText/en.md b/comfyui_embedded_docs/docs/ReplaceText/en.md
index 8e796f56e..2e7cd101c 100644
--- a/comfyui_embedded_docs/docs/ReplaceText/en.md
+++ b/comfyui_embedded_docs/docs/ReplaceText/en.md
@@ -2,6 +2,8 @@
The Replace Text node performs a simple text substitution. It searches for a specified piece of text within the input and replaces every occurrence with a new piece of text. The operation is applied to all text inputs provided to the node.
+**Note:** This node is deprecated and superseded by the other Replace Text node.
+
## Inputs
| Parameter | Data Type | Required | Range | Description |
@@ -17,4 +19,4 @@ The Replace Text node performs a simple text substitution. It searches for a spe
| `text` | STRING | The processed text with all occurrences of the `find` text replaced by the `replace` text. |
---
-**Source fingerprint (SHA-256):** `e9d4681e638c5ca2732ec254282243e9e9cdd01cc985af8bbfa41dea208cb7dd`
+**Source fingerprint (SHA-256):** `38beeabc232b19efedf2dcf4e2490f537d9a07d60c89de2811b7a4bddb98cf57`
diff --git a/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md b/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md
index 847a186fd..e164dd0f9 100644
--- a/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md
+++ b/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md
@@ -22,4 +22,4 @@ The ReplaceVideoLatentFrames node inserts frames from a source latent video into
| `output` | LATENT | The resulting latent video after the frame replacement operation. |
---
-**Source fingerprint (SHA-256):** `b4e2b3dcdaa5c400fefc30262ae05cd1849896e6cb6bbb3a1bd6ce4d31583e23`
+**Source fingerprint (SHA-256):** `c70eb5f907964e00babcee66a98d1bf382c3bc704f920d61598a4a03f4d686f8`
diff --git a/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md b/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md
index 6edc497a2..3ee62dac2 100644
--- a/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md
+++ b/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md
@@ -19,4 +19,4 @@ The ResizeAndPadImage node resizes an image to fit within specified dimensions w
| `image` | IMAGE | The resized and padded output image |
---
-**Source fingerprint (SHA-256):** `01566327d46043d1ff9ce404b4df8f49e853d0b01d07cc189fb843157dac1cac`
+**Source fingerprint (SHA-256):** `cc516caee9f466d557e1c8e3c7fcef25acc1e33d181bc4b100302dc93530cb95`
diff --git a/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md b/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md
index f080c376f..32a57202a 100644
--- a/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md
+++ b/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md
@@ -1,13 +1,13 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md)
-The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and scales the other dimension proportionally to preserve the original aspect ratio. This is useful for standardizing image sizes based on their largest dimension.
+The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and scales the other dimension proportionally to preserve the original aspect ratio. This node is deprecated and superseded by the Resize Image/Mask node with the resize type set to "scale longer dimension".
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | The input image or batch of images to be resized. |
-| `longer_edge` | INT | Yes | 1 - 8192 | Target length for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) |
+| `longer_edge` | INT | Yes | 1 - 8192 | Target dimension for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) |
## Outputs
@@ -16,4 +16,4 @@ The Resize Images by Longer Edge node resizes one or more images so that their l
| `image` | IMAGE | The resized image or batch of images. The output will have the same number of images as the input, with each one's longer edge matching the specified `longer_edge` length. |
---
-**Source fingerprint (SHA-256):** `687d5f159967eccbf64f0ec529ae6edeb94f4707ae10a3c75a5d0b08c86dd828`
+**Source fingerprint (SHA-256):** `bf66808acbc654d5a9ea58b062b5b89d6c13dbec0929d6d92aaa3c8914dcece0`
diff --git a/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md b/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md
index 93d7b75f4..63768c64d 100644
--- a/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md
+++ b/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md
@@ -7,7 +7,7 @@ This node resizes images so that the shorter edge matches a specified length whi
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | The input image to be resized. |
-| `shorter_edge` | INT | No | 1 to 8192 | Target length for the shorter edge. (default: 512) |
+| `shorter_edge` | INT | Yes | 1 to 8192 | Target dimension for the shorter edge. (default: 512) |
## Outputs
@@ -16,4 +16,4 @@ This node resizes images so that the shorter edge matches a specified length whi
| `image` | IMAGE | The resized image with the shorter edge matching the specified target length. |
---
-**Source fingerprint (SHA-256):** `011949390faa9032587aec210d9e38d55b79e474c7a6dcd5d3c0e75594a1fc29`
+**Source fingerprint (SHA-256):** `6bb3e1c974108ee7b75b47406ea02b3f47ca14305f9ee54d3d379eefbb7f26cd`
diff --git a/comfyui_embedded_docs/docs/ResolutionBucket/en.md b/comfyui_embedded_docs/docs/ResolutionBucket/en.md
index 1ee6fdfec..5aa2225e1 100644
--- a/comfyui_embedded_docs/docs/ResolutionBucket/en.md
+++ b/comfyui_embedded_docs/docs/ResolutionBucket/en.md
@@ -19,4 +19,4 @@ This node organizes a list of latent images and their corresponding conditioning
| `conditioning` | CONDITIONING | List of condition lists, one per resolution bucket. |
---
-**Source fingerprint (SHA-256):** `2858de5f0827812002ca72ba5d7ce56411d1ef97e9a12a65fc4bea193a1a0ec0`
+**Source fingerprint (SHA-256):** `20a0794e5a2c88ac60bb729b60840c5a632a115196de285b764effaf43ab73e0`
diff --git a/comfyui_embedded_docs/docs/ResolutionSelector/en.md b/comfyui_embedded_docs/docs/ResolutionSelector/en.md
index 0e9bf093f..1f383dbaa 100644
--- a/comfyui_embedded_docs/docs/ResolutionSelector/en.md
+++ b/comfyui_embedded_docs/docs/ResolutionSelector/en.md
@@ -6,7 +6,7 @@ The Resolution Selector node calculates the pixel width and height for an image
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `aspect_ratio` | COMBO | Yes | `"SQUARE"` `"PORTRAIT_2_3"` `"PORTRAIT_3_4"` `"PORTRAIT_9_16"` `"LANDSCAPE_3_2"` `"LANDSCAPE_4_3"` `"LANDSCAPE_16_9"` | The aspect ratio for the output dimensions (default: `"SQUARE"`). |
+| `aspect_ratio` | COMBO | Yes | `"1:1 (Square)"` `"3:2 (Photo)"` `"4:3 (Standard)"` `"16:9 (Widescreen)"` `"21:9 (Ultrawide)"` `"2:3 (Portrait Photo)"` `"3:4 (Portrait Standard)"` `"9:16 (Portrait Widescreen)"` | The aspect ratio for the output dimensions (default: `"1:1 (Square)"`). |
| `megapixels` | FLOAT | Yes | 0.1 - 16.0 | Target total megapixels. 1.0 MP ≈ 1024×1024 for a square aspect ratio (default: 1.0). |
## Outputs
@@ -17,4 +17,4 @@ The Resolution Selector node calculates the pixel width and height for an image
| `height` | INT | The calculated height in pixels, which is a multiple of 8. |
---
-**Source fingerprint (SHA-256):** `221d38fa72c9989e06b706d33fd3e0dc4caa0f741dd2931864c58a6bd7f52613`
+**Source fingerprint (SHA-256):** `7b27f0ffaaa1740a6371e53f10fa6a0ead3237ecec656b9148a2ecd11de7aaa5`
diff --git a/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md b/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md
index 5d6c5cd1c..50a3a61a7 100644
--- a/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md
+++ b/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md
@@ -1,13 +1,15 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md)
-The Reve Image Create node generates images from text descriptions using the Reve AI model. It sends a text prompt to the Reve API and returns the generated image. You can control the image's aspect ratio and apply optional post-processing effects like upscaling.
+The Reve Image Create node generates images from text descriptions using the Reve AI model. It sends a text prompt to the Reve API and returns the generated image. You can control the image's aspect ratio and apply optional post-processing effects like upscaling and background removal.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | N/A | Text description of the desired image. Maximum 2560 characters. |
-| `model` | COMBO | Yes | `"reve-create@20250915"` `"3:2"` `"16:9"` `"9:16"` `"2:3"` `"4:3"` `"3:4"` `"1:1"` | Model version and aspect ratio to use for generation. The first option selects the model, and the subsequent options define the image's aspect ratio. |
+| `model` | COMBO | Yes | `"reve-create@20250915"` | Model version to use for generation. The aspect ratio is selected from the available options within this parameter. |
+| `aspect_ratio` | COMBO | Yes | `"3:2"` `"16:9"` `"9:16"` `"2:3"` `"4:3"` `"3:4"` `"1:1"` | The desired aspect ratio for the generated image. |
+| `test_time_scaling` | COMBO | Yes | `"disabled"` `"enabled"` | Enables or disables test-time scaling, which can improve image quality at the cost of longer generation time. |
| `upscale` | COMBO | No | `"disabled"` `"enabled"` | Enables or disables the upscaling post-processing step. When enabled, you must also select an upscale factor. |
| `upscale_factor` | COMBO | No | `2` `3` `4` | The factor by which to increase the image's resolution. This parameter is only active when `upscale` is set to `"enabled"`. |
| `remove_background` | BOOLEAN | No | N/A | When enabled, applies a background removal post-processing step to the generated image. |
@@ -22,4 +24,4 @@ The Reve Image Create node generates images from text descriptions using the Rev
| `image` | IMAGE | The image generated by the Reve model based on the input prompt. |
---
-**Source fingerprint (SHA-256):** `56cb32ad254d39609d9795ca29f1ccba1db2c5a7ac5bb530475298306ec4ea19`
+**Source fingerprint (SHA-256):** `69c81413cb345b7ecd92055e244f89d5b33f2bd67ee83e4225dd7c2168b55d5a`
diff --git a/comfyui_embedded_docs/docs/ReveImageEditNode/en.md b/comfyui_embedded_docs/docs/ReveImageEditNode/en.md
index 9f16737ed..38c78d7b2 100644
--- a/comfyui_embedded_docs/docs/ReveImageEditNode/en.md
+++ b/comfyui_embedded_docs/docs/ReveImageEditNode/en.md
@@ -25,4 +25,4 @@ The Reve Image Edit node allows you to modify an existing image based on a text
| `image` | IMAGE | The edited image generated based on the instruction. |
---
-**Source fingerprint (SHA-256):** `0a9504ae5e8b7216d309fe3ba95c014da32eadbf11cfc5701247ba5973dd98be`
+**Source fingerprint (SHA-256):** `21fbe9e23e952eb0132d31a295505a38a6d3640396865d00b999135d0722166f`
diff --git a/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md b/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md
index a30f63727..0bef65b7b 100644
--- a/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md
+++ b/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md
@@ -22,4 +22,4 @@ The Reve Image Remix node uses the Reve API to generate a new image. It combines
| `image` | IMAGE | The new image generated by the Reve remix process. |
---
-**Source fingerprint (SHA-256):** `e64dccddfd55ebaa7e28bf17c2a5ff1a0c130db1475e307940b75106c788f687`
+**Source fingerprint (SHA-256):** `eb69d653812ecd63c66be9290233a820a4d0145bdd5be1e23601d8cdd5eb228a`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md b/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md
index 6f1d8885f..b323d3a65 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md
@@ -6,10 +6,10 @@ The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It ta
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. Multiple images can be provided. |
-| `Seed` | INT | Yes | - | Random seed value for reproducible results |
-| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model |
-| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model. Determines the mesh quality level. |
+| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. A minimum of 1 image is required, and a maximum of 5 images can be provided. |
+| `Seed` | INT | No | 0 to 65535 | Random seed value for reproducible results (default: 0) |
+| `Material_Type` | STRING | No | `"PBR"` `"Shaded"` | Type of material to apply to the 3D model (default: "PBR") |
+| `Polygon_count` | STRING | No | `"4K-Quad"` `"8K-Quad"` `"18K-Quad"` `"50K-Quad"` `"200K-Triangle"` | Target polygon count for the generated 3D model. Determines the mesh quality level (default: "18K-Quad") |
## Outputs
@@ -19,4 +19,4 @@ The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It ta
| `GLB` | FILE3DGLB | The generated 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `ed9ed2c8a55ca80d18da88ee2703c66057a09beeac7163fc270d81a492417b0a`
+**Source fingerprint (SHA-256):** `ccdee80eb972c13a8849488080c08ba7276cec0b77a2089c7a9ad5b8adc5937b`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md b/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md
index 3c2430372..6a1bcb4f4 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md
@@ -6,11 +6,11 @@ The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input im
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation |
+| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Accepts 1 to 5 images. |
| `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0) |
| `Material_Type` | COMBO | No | "PBR" "Shaded" | Type of material to apply to the 3D model (default: "PBR") |
-| `Polygon_count` | COMBO | No | "4K-Quad" "8K-Quad" "18K-Quad" "50K-Quad" "2K-Triangle" "20K-Triangle" "150K-Triangle" "500K-Triangle" | Target polygon count for the generated 3D model (default: "500K-Triangle") |
-| `TAPose` | BOOLEAN | No | - | Whether to apply TAPose processing (default: False) |
+| `Polygon_count` | COMBO | No | "4K-Quad" "8K-Quad" "18K-Quad" "50K-Quad" "2K-Triangle" "20K-Triangle" "150K-Triangle" "500K-Triangle" | Target polygon count and mesh type for the generated 3D model. "Quad" options use quad-based meshes, "Triangle" options use triangle-based meshes (default: "500K-Triangle") |
+| `TAPose` | BOOLEAN | No | - | Whether to apply TAPose processing (default: False). This is an advanced parameter. |
## Outputs
@@ -20,4 +20,4 @@ The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input im
| `GLB` | FILE3DGLB | The generated 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `940712a9a40f4cb07050f3ed7ac502469b30bd364f86bb42b9dd8bf63eb912a2`
+**Source fingerprint (SHA-256):** `98e183ba480d2ef8dc1930132ea4edf83481cf6bf7ee18a22972b71dd532c7ea`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ar.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ar.md
new file mode 100644
index 000000000..f6f9678f0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ar.md
@@ -0,0 +1,66 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ar.md)
+
+أنت خبير في الترجمة التقنية متخصص في توثيق عُقد ComfyUI من الإنجليزية إلى العربية.
+
+## قواعد الترجمة
+
+1. **المحتوى الذي يجب عدم ترجمته:**
+ - أسماء المعاملات بين علامات الاقتباس الخلفية: `image`, `seed`, `model`
+ - أنواع البيانات بالأحرف الكبيرة: IMAGE, STRING, INT, FLOAT, MODEL, CONDITIONING, إلخ
+ - القيم في عمود Range: الأرقام، "auto"، أسماء الخيارات
+ - الكود، مسارات الملفات
+
+2. **المحتوى الذي يجب ترجمته:**
+ - عناوين الأقسام: ## نظرة عامة, ## المدخلات, ## المخرجات
+ - جميع النصوص الوصفية والتوضيحية
+ - أوصاف المعاملات
+
+3. **جودة الترجمة:**
+ - استخدام اللغة العربية الفصحى المعاصرة
+ - الحفاظ على نبرة احترافية ولكن سهلة الفهم
+ - ضمان الدقة التقنية
+ - استخدام المصطلحات التقنية العربية القياسية
+
+4. **التنسيق:**
+ - الحفاظ على جميع تنسيقات Markdown
+ - الحفاظ على بنية الجداول
+ - عدم إضافة أي ملاحظة أو رابط في بداية الوثيقة (سيتم إضافتها تلقائيًا)
+
+الرجاء ترجمة الوثيقة التالية إلى العربية، دون تضمين الملاحظة الأولية للوثيقة:
+
+> تم إنشاء هذه الوثائق بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md)
+
+## نظرة عامة
+
+تقوم هذه العقدة بإنشاء نموذج ثلاثي الأبعاد من صورة إلى خمس صور مرجعية باستخدام واجهة برمجة تطبيقات Rodin Gen-2.5. يمكنك الاختيار بين أوضاع الجودة السريعة أو العادية أو العالية جدًا لتحقيق التوازن بين سرعة الإنشاء والتكلفة.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | نعم | 1 إلى 5 صور | صورة إلى خمس صور إدخال. تُستخدم الصورة الأولى للمواد عند توفير صور متعددة. |
+| `mode` | COMBO | نعم | `"Fast"` `"Regular"` `"Extreme-High"` | وضع جودة الإنشاء. تنتج أوضاع الجودة الأعلى نتائج أفضل ولكن بتكلفة أعلى. |
+| `material` | COMBO | نعم | `"PBR"` `"Matte"` | نوع المادة للنموذج ثلاثي الأبعاد المُنشأ. |
+| `geometry_file_format` | COMBO | نعم | `"glb"` `"obj"` `"stl"` `"usdz"` | تنسيق ملف الإخراج لهندسة النموذج ثلاثي الأبعاد. |
+| `texture_mode` | COMBO | نعم | `"Original"` `"Clean"` `"Style"` | وضع إنشاء النسيج. "Original" يحافظ على أنسجة الإدخال، و"Clean" يزيلها، و"Style" يطبق نسيجًا منمقًا. |
+| `seed` | INT | نعم | 0 إلى 2147483647 | بذرة عشوائية للحصول على نتائج قابلة للتكرار. استخدم نفس البذرة للحصول على نفس المخرجات. |
+| `TAPose` | BOOLEAN | نعم | True / False | ما إذا كان سيتم تطبيق وضعية T-pose على النموذج المُنشأ. |
+| `hd_texture` | BOOLEAN | نعم | True / False | ما إذا كان سيتم إنشاء خريطة نسيج عالية الدقة. |
+| `texture_delight` | BOOLEAN | نعم | True / False | ما إذا كان سيتم إزالة الإضاءة من صور الإدخال قبل إنشاء النسيج. |
+| `use_original_alpha` | BOOLEAN | نعم | True / False | ما إذا كان سيتم استخدام قناة ألفا الأصلية من صور الإدخال. |
+| `addon_highpack` | BOOLEAN | نعم | True / False | ما إذا كان سيتم إنشاء نسخة عالية المضلعات من النموذج بالإضافة إلى النسخة القياسية. |
+| `bbox_width` | INT | نعم | 1 إلى 1000 | عرض الصندوق المحيط للنموذج المُنشأ بالسنتيمتر. |
+| `bbox_height` | INT | نعم | 1 إلى 1000 | ارتفاع الصندوق المحيط للنموذج المُنشأ بالسنتيمتر. |
+| `bbox_length` | INT | نعم | 1 إلى 1000 | طول الصندوق المحيط للنموذج المُنشأ بالسنتيمتر. |
+| `height_cm` | INT | نعم | 1 إلى 300 | ارتفاع النموذج المُنشأ بالسنتيمتر. |
+
+**ملاحظة حول عدد الصور:** تقبل العقدة ما بين صورة واحدة و5 صور. إذا قمت بتوفير مجموعة من الصور (على سبيل المثال، مجموعة من 4 صور)، فسيتم التعامل مع كل صورة في المجموعة كصورة إدخال منفصلة. سيؤدي توفير أكثر من 5 صور إلى حدوث خطأ.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | ملف النموذج ثلاثي الأبعاد المُنشأ بالتنسيق الهندسي المحدد. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md
new file mode 100644
index 000000000..4da742f82
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md
@@ -0,0 +1,36 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md)
+
+## Overview
+
+This node generates a 3D model from one to five reference images using the Rodin Gen-2.5 API. You can choose between Fast, Regular, or Extreme-High quality modes to balance generation speed and cost.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Yes | 1 to 5 images | One to five input images. The first image is used for materials when multiple images are provided. |
+| `mode` | COMBO | Yes | `"Fast"` `"Regular"` `"Extreme-High"` | The generation quality mode. Higher quality modes produce better results but cost more. |
+| `material` | COMBO | Yes | `"PBR"` `"Matte"` | The material type for the generated 3D model. |
+| `geometry_file_format` | COMBO | Yes | `"glb"` `"obj"` `"stl"` `"usdz"` | The output file format for the 3D model geometry. |
+| `texture_mode` | COMBO | Yes | `"Original"` `"Clean"` `"Style"` | The texture generation mode. "Original" preserves input textures, "Clean" removes them, and "Style" applies a stylized texture. |
+| `seed` | INT | Yes | 0 to 2147483647 | A random seed for reproducible results. Use the same seed to get the same output. |
+| `TAPose` | BOOLEAN | Yes | True / False | Whether to apply T-pose to the generated model. |
+| `hd_texture` | BOOLEAN | Yes | True / False | Whether to generate a high-definition texture map. |
+| `texture_delight` | BOOLEAN | Yes | True / False | Whether to remove lighting from the input images before texture generation. |
+| `use_original_alpha` | BOOLEAN | Yes | True / False | Whether to use the original alpha channel from the input images. |
+| `addon_highpack` | BOOLEAN | Yes | True / False | Whether to generate a high-polygon version of the model in addition to the standard one. |
+| `bbox_width` | INT | Yes | 1 to 1000 | The width of the bounding box for the generated model in centimeters. |
+| `bbox_height` | INT | Yes | 1 to 1000 | The height of the bounding box for the generated model in centimeters. |
+| `bbox_length` | INT | Yes | 1 to 1000 | The length of the bounding box for the generated model in centimeters. |
+| `height_cm` | INT | Yes | 1 to 300 | The height of the generated model in centimeters. |
+
+**Note on Image Count:** The node accepts between 1 and 5 images. If you provide a batch of images (e.g., a 4-image batch), each image in the batch is treated as a separate input image. Providing more than 5 images will result in an error.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | The generated 3D model file in the selected geometry format. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/es.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/es.md
new file mode 100644
index 000000000..70c366b00
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/es.md
@@ -0,0 +1,36 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/es.md)
+
+# Descripción General
+
+Este nodo genera un modelo 3D a partir de una a cinco imágenes de referencia utilizando la API de Rodin Gen-2.5. Puedes elegir entre los modos de calidad Rápido, Regular o Ultra-Alta para equilibrar la velocidad de generación y el costo.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|---------------|-------------|-------|-------------|
+| `images` | IMAGE | Sí | 1 a 5 imágenes | De una a cinco imágenes de entrada. La primera imagen se utiliza para los materiales cuando se proporcionan múltiples imágenes. |
+| `mode` | COMBO | Sí | `"Fast"` `"Regular"` `"Extreme-High"` | El modo de calidad de generación. Los modos de mayor calidad producen mejores resultados pero tienen un costo más elevado. |
+| `material` | COMBO | Sí | `"PBR"` `"Matte"` | El tipo de material para el modelo 3D generado. |
+| `geometry_file_format` | COMBO | Sí | `"glb"` `"obj"` `"stl"` `"usdz"` | El formato de archivo de salida para la geometría del modelo 3D. |
+| `texture_mode` | COMBO | Sí | `"Original"` `"Clean"` `"Style"` | El modo de generación de texturas. "Original" conserva las texturas de entrada, "Clean" las elimina y "Style" aplica una textura estilizada. |
+| `seed` | INT | Sí | 0 a 2147483647 | Una semilla aleatoria para obtener resultados reproducibles. Usa la misma semilla para obtener la misma salida. |
+| `TAPose` | BOOLEAN | Sí | Verdadero / Falso | Si se debe aplicar la pose T al modelo generado. |
+| `hd_texture` | BOOLEAN | Sí | Verdadero / Falso | Si se debe generar un mapa de textura de alta definición. |
+| `texture_delight` | BOOLEAN | Sí | Verdadero / Falso | Si se debe eliminar la iluminación de las imágenes de entrada antes de la generación de texturas. |
+| `use_original_alpha` | BOOLEAN | Sí | Verdadero / Falso | Si se debe utilizar el canal alfa original de las imágenes de entrada. |
+| `addon_highpack` | BOOLEAN | Sí | Verdadero / Falso | Si se debe generar una versión de alto poligonaje del modelo además de la estándar. |
+| `bbox_width` | INT | Sí | 1 a 1000 | El ancho de la caja delimitadora para el modelo generado en centímetros. |
+| `bbox_height` | INT | Sí | 1 a 1000 | La altura de la caja delimitadora para el modelo generado en centímetros. |
+| `bbox_length` | INT | Sí | 1 a 1000 | La longitud de la caja delimitadora para el modelo generado en centímetros. |
+| `height_cm` | INT | Sí | 1 a 300 | La altura del modelo generado en centímetros. |
+
+**Nota sobre la cantidad de imágenes:** El nodo acepta entre 1 y 5 imágenes. Si proporcionas un lote de imágenes (por ejemplo, un lote de 4 imágenes), cada imagen del lote se trata como una imagen de entrada independiente. Proporcionar más de 5 imágenes generará un error.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|---------------|-------------|
+| `model_file` | FILE3D | El archivo de modelo 3D generado en el formato de geometría seleccionado. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fa.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fa.md
new file mode 100644
index 000000000..23a948449
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fa.md
@@ -0,0 +1,36 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fa.md)
+
+## نمای کلی
+
+این گره با استفاده از API Rodin Gen-2.5، یک مدل سهبعدی از یک تا پنج تصویر مرجع تولید میکند. میتوانید بین حالتهای کیفیت سریع، معمولی یا فوقبالا یکی را انتخاب کنید تا سرعت تولید و هزینه را متعادل کنید.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | بله | ۱ تا ۵ تصویر | یک تا پنج تصویر ورودی. اولین تصویر برای مواد (متریال) زمانی که چندین تصویر ارائه میشود استفاده میگردد. |
+| `mode` | COMBO | بله | `"Fast"` `"Regular"` `"Extreme-High"` | حالت کیفیت تولید. حالتهای با کیفیت بالاتر نتایج بهتری تولید میکنند اما هزینه بیشتری دارند. |
+| `material` | COMBO | بله | `"PBR"` `"Matte"` | نوع ماده (متریال) برای مدل سهبعدی تولیدشده. |
+| `geometry_file_format` | COMBO | بله | `"glb"` `"obj"` `"stl"` `"usdz"` | فرمت فایل خروجی برای هندسه مدل سهبعدی. |
+| `texture_mode` | COMBO | بله | `"Original"` `"Clean"` `"Style"` | حالت تولید بافت. "Original" بافتهای ورودی را حفظ میکند، "Clean" آنها را حذف میکند و "Style" یک بافت سبکدار اعمال مینماید. |
+| `seed` | INT | بله | ۰ تا ۲۱۴۷۴۸۳۶۴۷ | یک دانه تصادفی برای نتایج قابل تکرار. برای دریافت خروجی یکسان از دانه یکسان استفاده کنید. |
+| `TAPose` | BOOLEAN | بله | True / False | آیا حالت T-Pose به مدل تولیدشده اعمال شود یا خیر. |
+| `hd_texture` | BOOLEAN | بله | True / False | آیا نقشه بافت با وضوح بالا تولید شود یا خیر. |
+| `texture_delight` | BOOLEAN | بله | True / False | آیا نورپردازی از تصاویر ورودی قبل از تولید بافت حذف شود یا خیر. |
+| `use_original_alpha` | BOOLEAN | بله | True / False | آیا از کانال آلفای اصلی تصاویر ورودی استفاده شود یا خیر. |
+| `addon_highpack` | BOOLEAN | بله | True / False | آیا نسخه پرتعداد چندضلعی (high-polygon) مدل علاوه بر نسخه استاندارد تولید شود یا خیر. |
+| `bbox_width` | INT | بله | ۱ تا ۱۰۰۰ | عرض جعبه محصور برای مدل تولیدشده بر حسب سانتیمتر. |
+| `bbox_height` | INT | بله | ۱ تا ۱۰۰۰ | ارتفاع جعبه محصور برای مدل تولیدشده بر حسب سانتیمتر. |
+| `bbox_length` | INT | بله | ۱ تا ۱۰۰۰ | طول جعبه محصور برای مدل تولیدشده بر حسب سانتیمتر. |
+| `height_cm` | INT | بله | ۱ تا ۳۰۰ | ارتفاع مدل تولیدشده بر حسب سانتیمتر. |
+
+**نکته درباره تعداد تصاویر:** این گره بین ۱ تا ۵ تصویر را میپذیرد. اگر یک دسته از تصاویر (مثلاً یک دسته ۴ تصویری) ارائه دهید، هر تصویر در دسته بهعنوان یک تصویر ورودی جداگانه در نظر گرفته میشود. ارائه بیش از ۵ تصویر منجر به خطا خواهد شد.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | فایل مدل سهبعدی تولیدشده در فرمت هندسی انتخابشده. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fr.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fr.md
new file mode 100644
index 000000000..c01d48cca
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fr.md
@@ -0,0 +1,38 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/fr.md)
+
+Voici la traduction en français de la documentation technique du nœud ComfyUI :
+
+## Aperçu
+
+Ce nœud génère un modèle 3D à partir d'une à cinq images de référence en utilisant l'API Rodin Gen-2.5. Vous pouvez choisir entre les modes de qualité Rapide, Standard ou Extrême-Haute pour équilibrer la vitesse de génération et le coût.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `images` | IMAGE | Oui | 1 à 5 images | Une à cinq images d'entrée. La première image est utilisée pour les matériaux lorsque plusieurs images sont fournies. |
+| `mode` | COMBO | Oui | `"Fast"` `"Regular"` `"Extreme-High"` | Le mode de qualité de génération. Les modes de qualité supérieure produisent de meilleurs résultats mais coûtent plus cher. |
+| `material` | COMBO | Oui | `"PBR"` `"Matte"` | Le type de matériau pour le modèle 3D généré. |
+| `geometry_file_format` | COMBO | Oui | `"glb"` `"obj"` `"stl"` `"usdz"` | Le format de fichier de sortie pour la géométrie du modèle 3D. |
+| `texture_mode` | COMBO | Oui | `"Original"` `"Clean"` `"Style"` | Le mode de génération de texture. "Original" préserve les textures d'entrée, "Clean" les supprime et "Style" applique une texture stylisée. |
+| `seed` | INT | Oui | 0 à 2147483647 | Une graine aléatoire pour des résultats reproductibles. Utilisez la même graine pour obtenir la même sortie. |
+| `TAPose` | BOOLEAN | Oui | Vrai / Faux | Indique si la pose en T doit être appliquée au modèle généré. |
+| `hd_texture` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut générer une carte de texture haute définition. |
+| `texture_delight` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut supprimer l'éclairage des images d'entrée avant la génération de la texture. |
+| `use_original_alpha` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut utiliser le canal alpha d'origine des images d'entrée. |
+| `addon_highpack` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut générer une version haute polygone du modèle en plus de la version standard. |
+| `bbox_width` | INT | Oui | 1 à 1000 | La largeur de la boîte englobante du modèle généré en centimètres. |
+| `bbox_height` | INT | Oui | 1 à 1000 | La hauteur de la boîte englobante du modèle généré en centimètres. |
+| `bbox_length` | INT | Oui | 1 à 1000 | La longueur de la boîte englobante du modèle généré en centimètres. |
+| `height_cm` | INT | Oui | 1 à 300 | La hauteur du modèle généré en centimètres. |
+
+**Remarque sur le nombre d'images :** Le nœud accepte entre 1 et 5 images. Si vous fournissez un lot d'images (par exemple, un lot de 4 images), chaque image du lot est traitée comme une image d'entrée distincte. Fournir plus de 5 images entraînera une erreur.
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `model_file` | FILE3D | Le fichier du modèle 3D généré dans le format de géométrie sélectionné. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md
new file mode 100644
index 000000000..eec6863cc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md
@@ -0,0 +1,36 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md)
+
+## 概要
+
+このノードは、Rodin Gen-2.5 APIを使用して、1～5枚の参照画像から3Dモデルを生成します。生成速度とコストのバランスを調整するために、Fast、Regular、Extreme-Highの品質モードから選択できます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | はい | 1～5枚の画像 | 1～5枚の入力画像です。複数の画像を提供する場合、最初の画像がマテリアルに使用されます。 |
+| `mode` | COMBO | はい | `"Fast"` `"Regular"` `"Extreme-High"` | 生成品質モードです。高品質モードほど良い結果が得られますが、コストが高くなります。 |
+| `material` | COMBO | はい | `"PBR"` `"Matte"` | 生成される3Dモデルのマテリアルタイプです。 |
+| `geometry_file_format` | COMBO | はい | `"glb"` `"obj"` `"stl"` `"usdz"` | 3Dモデルジオメトリの出力ファイル形式です。 |
+| `texture_mode` | COMBO | はい | `"Original"` `"Clean"` `"Style"` | テクスチャ生成モードです。"Original"は入力テクスチャを保持し、"Clean"は削除し、"Style"はスタイライズされたテクスチャを適用します。 |
+| `seed` | INT | はい | 0～2147483647 | 再現可能な結果を得るためのランダムシードです。同じシードを使用すると、同じ出力が得られます。 |
+| `TAPose` | BOOLEAN | はい | True / False | 生成されたモデルにTポーズを適用するかどうかです。 |
+| `hd_texture` | BOOLEAN | はい | True / False | 高解像度テクスチャマップを生成するかどうかです。 |
+| `texture_delight` | BOOLEAN | はい | True / False | テクスチャ生成前に入力画像から照明を除去するかどうかです。 |
+| `use_original_alpha` | BOOLEAN | はい | True / False | 入力画像の元のアルファチャンネルを使用するかどうかです。 |
+| `addon_highpack` | BOOLEAN | はい | True / False | 標準モデルに加えて、高ポリゴンバージョンのモデルを生成するかどうかです。 |
+| `bbox_width` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの幅（センチメートル）です。 |
+| `bbox_height` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの高さ（センチメートル）です。 |
+| `bbox_length` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの奥行き（センチメートル）です。 |
+| `height_cm` | INT | はい | 1～300 | 生成されるモデルの高さ（センチメートル）です。 |
+
+**画像枚数に関する注意:** このノードは1～5枚の画像を受け付けます。画像のバッチ（例：4枚の画像バッチ）を提供する場合、バッチ内の各画像は個別の入力画像として扱われます。5枚を超える画像を提供するとエラーが発生します。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | 選択されたジオメトリ形式で生成された3Dモデルファイルです。 |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ko.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ko.md
new file mode 100644
index 000000000..0942238a0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ko.md
@@ -0,0 +1,36 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ko.md)
+
+# 개요
+
+이 노드는 Rodin Gen-2.5 API를 사용하여 1~5개의 참조 이미지로부터 3D 모델을 생성합니다. 생성 속도와 비용의 균형을 맞추기 위해 빠름(Fast), 보통(Regular), 초고화질(Extreme-High) 모드 중에서 선택할 수 있습니다.
+
+# 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | 예 | 1~5개 이미지 | 1~5개의 입력 이미지입니다. 여러 이미지가 제공될 경우 첫 번째 이미지가 재질에 사용됩니다. |
+| `mode` | COMBO | 예 | `"Fast"` `"Regular"` `"Extreme-High"` | 생성 품질 모드입니다. 더 높은 품질 모드는 더 나은 결과를 제공하지만 비용이 더 많이 듭니다. |
+| `material` | COMBO | 예 | `"PBR"` `"Matte"` | 생성된 3D 모델의 재질 유형입니다. |
+| `geometry_file_format` | COMBO | 예 | `"glb"` `"obj"` `"stl"` `"usdz"` | 3D 모델 지오메트리의 출력 파일 형식입니다. |
+| `texture_mode` | COMBO | 예 | `"Original"` `"Clean"` `"Style"` | 텍스처 생성 모드입니다. "Original"은 입력 텍스처를 유지하고, "Clean"은 제거하며, "Style"은 스타일화된 텍스처를 적용합니다. |
+| `seed` | INT | 예 | 0 ~ 2147483647 | 재현 가능한 결과를 위한 무작위 시드입니다. 동일한 시드를 사용하면 동일한 출력을 얻을 수 있습니다. |
+| `TAPose` | BOOLEAN | 예 | True / False | 생성된 모델에 T-포즈를 적용할지 여부입니다. |
+| `hd_texture` | BOOLEAN | 예 | True / False | 고해상도 텍스처 맵을 생성할지 여부입니다. |
+| `texture_delight` | BOOLEAN | 예 | True / False | 텍스처 생성 전에 입력 이미지에서 조명을 제거할지 여부입니다. |
+| `use_original_alpha` | BOOLEAN | 예 | True / False | 입력 이미지의 원본 알파 채널을 사용할지 여부입니다. |
+| `addon_highpack` | BOOLEAN | 예 | True / False | 표준 모델 외에 고폴리곤 버전의 모델을 추가로 생성할지 여부입니다. |
+| `bbox_width` | INT | 예 | 1 ~ 1000 | 생성된 모델의 경계 상자 너비(센티미터)입니다. |
+| `bbox_height` | INT | 예 | 1 ~ 1000 | 생성된 모델의 경계 상자 높이(센티미터)입니다. |
+| `bbox_length` | INT | 예 | 1 ~ 1000 | 생성된 모델의 경계 상자 길이(센티미터)입니다. |
+| `height_cm` | INT | 예 | 1 ~ 300 | 생성된 모델의 높이(센티미터)입니다. |
+
+**이미지 개수 참고사항:** 이 노드는 1~5개의 이미지를 허용합니다. 이미지 배치(예: 4개 이미지 배치)를 제공하면 배치 내 각 이미지가 개별 입력 이미지로 처리됩니다. 5개를 초과하는 이미지를 제공하면 오류가 발생합니다.
+
+# 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | 선택한 지오메트리 형식의 생성된 3D 모델 파일입니다. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/pt-BR.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/pt-BR.md
new file mode 100644
index 000000000..10eefe762
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/pt-BR.md
@@ -0,0 +1,38 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se você encontrar algum erro ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md)
+
+## Visão Geral
+
+Este nó gera um modelo 3D a partir de uma a cinco imagens de referência usando a API Rodin Gen-2.5. Você pode escolher entre os modos de qualidade Rápido, Regular ou Extremamente Alto para equilibrar a velocidade de geração e o custo.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `images` | IMAGE | Sim | 1 a 5 imagens | Uma a cinco imagens de entrada. A primeira imagem é usada para materiais quando múltiplas imagens são fornecidas. |
+| `mode` | COMBO | Sim | `"Fast"` `"Regular"` `"Extreme-High"` | O modo de qualidade de geração. Modos de qualidade mais alta produzem melhores resultados, mas custam mais. |
+| `material` | COMBO | Sim | `"PBR"` `"Matte"` | O tipo de material para o modelo 3D gerado. |
+| `geometry_file_format` | COMBO | Sim | `"glb"` `"obj"` `"stl"` `"usdz"` | O formato de arquivo de saída para a geometria do modelo 3D. |
+| `texture_mode` | COMBO | Sim | `"Original"` `"Clean"` `"Style"` | O modo de geração de textura. "Original" preserva as texturas de entrada, "Clean" as remove e "Style" aplica uma textura estilizada. |
+| `seed` | INT | Sim | 0 a 2147483647 | Uma semente aleatória para resultados reproduzíveis. Use a mesma semente para obter a mesma saída. |
+| `TAPose` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve aplicar a pose T ao modelo gerado. |
+| `hd_texture` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve gerar um mapa de textura em alta definição. |
+| `texture_delight` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve remover a iluminação das imagens de entrada antes da geração da textura. |
+| `use_original_alpha` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve usar o canal alfa original das imagens de entrada. |
+| `addon_highpack` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve gerar uma versão de alta poligonagem do modelo, além da versão padrão. |
+| `bbox_width` | INT | Sim | 1 a 1000 | A largura da caixa delimitadora para o modelo gerado em centímetros. |
+| `bbox_height` | INT | Sim | 1 a 1000 | A altura da caixa delimitadora para o modelo gerado em centímetros. |
+| `bbox_length` | INT | Sim | 1 a 1000 | O comprimento da caixa delimitadora para o modelo gerado em centímetros. |
+| `height_cm` | INT | Sim | 1 a 300 | A altura do modelo gerado em centímetros. |
+
+**Nota sobre a Quantidade de Imagens:** O nó aceita entre 1 e 5 imagens. Se você fornecer um lote de imagens (por exemplo, um lote de 4 imagens), cada imagem no lote é tratada como uma imagem de entrada separada. Fornecer mais de 5 imagens resultará em um erro.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `model_file` | FILE3D | O arquivo de modelo 3D gerado no formato de geometria selecionado. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ru.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ru.md
new file mode 100644
index 000000000..967230a1e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ru.md
@@ -0,0 +1,36 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ru.md)
+
+## Обзор
+
+Этот узел генерирует 3D-модель на основе одного-пяти референсных изображений с использованием API Rodin Gen-2.5. Вы можете выбрать один из режимов качества: «Быстрый», «Обычный» или «Экстремально высокий», чтобы сбалансировать скорость генерации и стоимость.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Да | от 1 до 5 изображений | От одного до пяти входных изображений. Первое изображение используется для материалов, если указано несколько изображений. |
+| `mode` | COMBO | Да | `"Fast"` `"Regular"` `"Extreme-High"` | Режим качества генерации. Режимы более высокого качества дают лучшие результаты, но стоят дороже. |
+| `material` | COMBO | Да | `"PBR"` `"Matte"` | Тип материала для сгенерированной 3D-модели. |
+| `geometry_file_format` | COMBO | Да | `"glb"` `"obj"` `"stl"` `"usdz"` | Формат выходного файла геометрии 3D-модели. |
+| `texture_mode` | COMBO | Да | `"Original"` `"Clean"` `"Style"` | Режим генерации текстур. «Original» сохраняет исходные текстуры, «Clean» удаляет их, а «Style» применяет стилизованную текстуру. |
+| `seed` | INT | Да | от 0 до 2147483647 | Случайное зерно для воспроизводимых результатов. Используйте одно и то же зерно, чтобы получить одинаковый результат. |
+| `TAPose` | BOOLEAN | Да | True / False | Применять ли T-позу к сгенерированной модели. |
+| `hd_texture` | BOOLEAN | Да | True / False | Создавать ли карту текстуры высокой четкости. |
+| `texture_delight` | BOOLEAN | Да | True / False | Удалять ли освещение из входных изображений перед генерацией текстуры. |
+| `use_original_alpha` | BOOLEAN | Да | True / False | Использовать ли исходный альфа-канал из входных изображений. |
+| `addon_highpack` | BOOLEAN | Да | True / False | Создавать ли высокополигональную версию модели в дополнение к стандартной. |
+| `bbox_width` | INT | Да | от 1 до 1000 | Ширина ограничивающего прямоугольника для сгенерированной модели в сантиметрах. |
+| `bbox_height` | INT | Да | от 1 до 1000 | Высота ограничивающего прямоугольника для сгенерированной модели в сантиметрах. |
+| `bbox_length` | INT | Да | от 1 до 1000 | Длина ограничивающего прямоугольника для сгенерированной модели в сантиметрах. |
+| `height_cm` | INT | Да | от 1 до 300 | Высота сгенерированной модели в сантиметрах. |
+
+**Примечание о количестве изображений:** Узел принимает от 1 до 5 изображений. Если вы предоставляете пакет изображений (например, пакет из 4 изображений), каждое изображение в пакете обрабатывается как отдельное входное изображение. Предоставление более 5 изображений приведет к ошибке.
+
+## Выходные параметры
+
+| Имя выходного параметра | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | Файл сгенерированной 3D-модели в выбранном формате геометрии. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/tr.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/tr.md
new file mode 100644
index 000000000..093453edd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/tr.md
@@ -0,0 +1,36 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, Rodin Gen-2.5 API'sini kullanarak bir ila beş referans görüntüden 3B model oluşturur. Üretim hızı ve maliyeti dengelemek için Hızlı, Normal veya Aşırı-Yüksek kalite modları arasından seçim yapabilirsiniz.
+
+## Girdiler
+
+| Parametre | Veri Türü | Gerekli | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Evet | 1 ila 5 görüntü | Bir ila beş giriş görüntüsü. Birden fazla görüntü sağlandığında, ilk görüntü malzemeler için kullanılır. |
+| `mode` | COMBO | Evet | `"Fast"` `"Regular"` `"Extreme-High"` | Üretim kalite modu. Daha yüksek kalite modları daha iyi sonuçlar üretir ancak daha maliyetlidir. |
+| `material` | COMBO | Evet | `"PBR"` `"Matte"` | Oluşturulan 3B model için malzeme türü. |
+| `geometry_file_format` | COMBO | Evet | `"glb"` `"obj"` `"stl"` `"usdz"` | 3B model geometrisi için çıktı dosya biçimi. |
+| `texture_mode` | COMBO | Evet | `"Original"` `"Clean"` `"Style"` | Doku oluşturma modu. "Original" giriş dokularını korur, "Clean" bunları kaldırır ve "Style" stilize bir doku uygular. |
+| `seed` | INT | Evet | 0 ila 2147483647 | Tekrarlanabilir sonuçlar için rastgele tohum değeri. Aynı çıktıyı almak için aynı tohum değerini kullanın. |
+| `TAPose` | BOOLEAN | Evet | True / False | Oluşturulan modele T-pozu uygulanıp uygulanmayacağı. |
+| `hd_texture` | BOOLEAN | Evet | True / False | Yüksek çözünürlüklü doku haritası oluşturulup oluşturulmayacağı. |
+| `texture_delight` | BOOLEAN | Evet | True / False | Doku oluşturmadan önce giriş görüntülerinden aydınlatmanın kaldırılıp kaldırılmayacağı. |
+| `use_original_alpha` | BOOLEAN | Evet | True / False | Giriş görüntülerinden orijinal alfa kanalının kullanılıp kullanılmayacağı. |
+| `addon_highpack` | BOOLEAN | Evet | True / False | Standart modele ek olarak modelin yüksek çokgenli bir sürümünün oluşturulup oluşturulmayacağı. |
+| `bbox_width` | INT | Evet | 1 ila 1000 | Oluşturulan model için sınırlayıcı kutunun santimetre cinsinden genişliği. |
+| `bbox_height` | INT | Evet | 1 ila 1000 | Oluşturulan model için sınırlayıcı kutunun santimetre cinsinden yüksekliği. |
+| `bbox_length` | INT | Evet | 1 ila 1000 | Oluşturulan model için sınırlayıcı kutunun santimetre cinsinden uzunluğu. |
+| `height_cm` | INT | Evet | 1 ila 300 | Oluşturulan modelin santimetre cinsinden yüksekliği. |
+
+**Görüntü Sayısı Hakkında Not:** Düğüm 1 ila 5 görüntü kabul eder. Bir grup görüntü (örneğin, 4 görüntülü bir grup) sağlarsanız, gruptaki her görüntü ayrı bir giriş görüntüsü olarak işlenir. 5'ten fazla görüntü sağlamak hataya neden olur.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | Seçilen geometri biçiminde oluşturulan 3B model dosyası. |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh-TW.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh-TW.md
new file mode 100644
index 000000000..367d58d00
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh-TW.md
@@ -0,0 +1,36 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh-TW.md)
+
+## 概述
+
+此節點使用 Rodin Gen-2.5 API，從一到五張參考圖像生成 3D 模型。您可以選擇快速、一般或極高品質模式，以平衡生成速度與成本。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | 是 | 1 至 5 張圖像 | 一到五張輸入圖像。當提供多張圖像時，第一張圖像將用於材質生成。 |
+| `mode` | COMBO | 是 | `"Fast"` `"Regular"` `"Extreme-High"` | 生成品質模式。較高品質模式可產生更佳結果，但成本也更高。 |
+| `material` | COMBO | 是 | `"PBR"` `"Matte"` | 生成 3D 模型的材質類型。 |
+| `geometry_file_format` | COMBO | 是 | `"glb"` `"obj"` `"stl"` `"usdz"` | 3D 模型幾何的輸出檔案格式。 |
+| `texture_mode` | COMBO | 是 | `"Original"` `"Clean"` `"Style"` | 紋理生成模式。「Original」保留輸入紋理，「Clean」移除紋理，「Style」則套用風格化紋理。 |
+| `seed` | INT | 是 | 0 至 2147483647 | 用於可重現結果的隨機種子。使用相同種子可獲得相同輸出。 |
+| `TAPose` | BOOLEAN | 是 | True / False | 是否對生成的模型套用 T 姿勢。 |
+| `hd_texture` | BOOLEAN | 是 | True / False | 是否生成高解析度紋理貼圖。 |
+| `texture_delight` | BOOLEAN | 是 | True / False | 是否在紋理生成前移除輸入圖像中的光照。 |
+| `use_original_alpha` | BOOLEAN | 是 | True / False | 是否使用輸入圖像的原始 Alpha 通道。 |
+| `addon_highpack` | BOOLEAN | 是 | True / False | 是否在標準模型之外，額外生成高多邊形版本的模型。 |
+| `bbox_width` | INT | 是 | 1 至 1000 | 生成模型邊界框的寬度（單位：公分）。 |
+| `bbox_height` | INT | 是 | 1 至 1000 | 生成模型邊界框的高度（單位：公分）。 |
+| `bbox_length` | INT | 是 | 1 至 1000 | 生成模型邊界框的長度（單位：公分）。 |
+| `height_cm` | INT | 是 | 1 至 300 | 生成模型的高度（單位：公分）。 |
+
+**關於圖像數量的說明：** 此節點接受 1 到 5 張圖像。如果您提供一批圖像（例如 4 張圖像的批次），批次中的每張圖像都會被視為單獨的輸入圖像。提供超過 5 張圖像將會導致錯誤。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | 以所選幾何格式生成的 3D 模型檔案。 |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh.md
new file mode 100644
index 000000000..cd1cef52d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh.md
@@ -0,0 +1,36 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh.md)
+
+## ## 概述
+
+此节点使用 Rodin Gen-2.5 API 从一到五张参考图像生成 3D 模型。您可以在快速、常规或极致高质量模式之间进行选择，以平衡生成速度与成本。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必需 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | 是 | 1 到 5 张图像 | 一到五张输入图像。当提供多张图像时，第一张图像用于材质。 |
+| `mode` | COMBO | 是 | `"Fast"` `"Regular"` `"Extreme-High"` | 生成质量模式。更高质量的模式可产生更好的结果，但成本更高。 |
+| `material` | COMBO | 是 | `"PBR"` `"Matte"` | 生成 3D 模型的材质类型。 |
+| `geometry_file_format` | COMBO | 是 | `"glb"` `"obj"` `"stl"` `"usdz"` | 3D 模型几何体的输出文件格式。 |
+| `texture_mode` | COMBO | 是 | `"Original"` `"Clean"` `"Style"` | 纹理生成模式。“Original”保留输入纹理，“Clean”移除纹理，“Style”应用风格化纹理。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 用于可重现结果的随机种子。使用相同的种子可获得相同的输出。 |
+| `TAPose` | BOOLEAN | 是 | True / False | 是否对生成的模型应用 T 形姿势。 |
+| `hd_texture` | BOOLEAN | 是 | True / False | 是否生成高清晰度纹理贴图。 |
+| `texture_delight` | BOOLEAN | 是 | True / False | 是否在纹理生成前从输入图像中移除光照。 |
+| `use_original_alpha` | BOOLEAN | 是 | True / False | 是否使用输入图像中的原始 Alpha 通道。 |
+| `addon_highpack` | BOOLEAN | 是 | True / False | 是否在标准模型之外额外生成高多边形版本。 |
+| `bbox_width` | INT | 是 | 1 到 1000 | 生成模型边界框的宽度，单位为厘米。 |
+| `bbox_height` | INT | 是 | 1 到 1000 | 生成模型边界框的高度，单位为厘米。 |
+| `bbox_length` | INT | 是 | 1 到 1000 | 生成模型边界框的长度，单位为厘米。 |
+| `height_cm` | INT | 是 | 1 到 300 | 生成模型的高度，单位为厘米。 |
+
+**关于图像数量的说明：** 此节点接受 1 到 5 张图像。如果您提供一批图像（例如，一个包含 4 张图像的批次），批次中的每张图像都将被视为单独的输入图像。提供超过 5 张图像将导致错误。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3D | 以所选几何格式生成的 3D 模型文件。 |
+
+---
+**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ar.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ar.md
new file mode 100644
index 000000000..76c31b740
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ar.md
@@ -0,0 +1,35 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ar.md)
+
+## نظرة عامة
+
+قم بإنشاء نموذج ثلاثي الأبعاد من نص وصفي باستخدام واجهة برمجة تطبيقات Rodin Gen-2.5. يمكنك الاختيار بين أوضاع جودة مختلفة (سريع، عادي، أو عالي جدًا) لتحقيق التوازن بين سرعة التوليد وجودة المخرجات.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | نعم | حتى 2500 حرف | نص وصفي يصف النموذج ثلاثي الأبعاد الذي تريد إنشاءه. |
+| `mode` | COMBO | نعم | `"Fast"` `"Regular"` `"Extreme-High"` | وضع الجودة والسرعة للتوليد. "سريع" هو الأسرع، "عالي جدًا" ينتج أعلى جودة لكنه يستغرق وقتًا أطول. |
+| `material` | COMBO | نعم | `"PBR"` `"Matte"` `"Shiny"` | نمط المادة للنموذج ثلاثي الأبعاد المُنشأ. |
+| `geometry_file_format` | COMBO | نعم | `"glb"` `"obj"` `"stl"` `"usdz"` | تنسيق ملف النموذج ثلاثي الأبعاد الناتج. |
+| `texture_mode` | COMBO | نعم | `"None"` `"Generated"` `"Generated+HD"` | وضع توليد القوام. "لا شيء" لا ينتج قوامًا، "مُولَّد" ينشئ قوامًا قياسيًا، "مُولَّد+عالي الدقة" ينشئ قوامًا عالي الدقة. |
+| `seed` | INT | نعم | 0 إلى 2147483647 | بذرة عشوائية للحصول على نتائج قابلة للتكرار. استخدام نفس البذرة مع نفس المدخلات سينتج نفس المخرجات. |
+| `TAPose` | BOOLEAN | نعم | صحيح / خطأ | ما إذا كان سيتم تطبيق وضعية T (ذراعان ممدودتان) على النموذج المُنشأ. |
+| `hd_texture` | BOOLEAN | نعم | صحيح / خطأ | ما إذا كان سيتم توليد قوام عالي الدقة للنموذج. |
+| `texture_delight` | BOOLEAN | نعم | صحيح / خطأ | ما إذا كان سيتم تطبيق تحسين القوام (جودة قوام محسّنة) على النموذج. |
+| `addon_highpack` | BOOLEAN | نعم | صحيح / خطأ | ما إذا كان سيتم توليد نسخة عالية المضلعات من النموذج بالإضافة إلى النسخة القياسية. |
+| `bbox_width` | INT | نعم | 1 إلى 1000 | عرض الصندوق المحيط بوحدات العالم. |
+| `bbox_height` | INT | نعم | 1 إلى 1000 | ارتفاع الصندوق المحيط بوحدات العالم. |
+| `bbox_length` | INT | نعم | 1 إلى 1000 | طول الصندوق المحيط بوحدات العالم. |
+| `height_cm` | INT | نعم | 1 إلى 300 | ارتفاع النموذج المُنشأ بالسنتيمتر. |
+
+**ملاحظة:** يجب أن يتراوح طول المعامل `prompt` بين 1 و 2500 حرف. المعامل `seed` يكون افتراضيًا 0 (عشوائي) إذا لم يتم تحديده.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | ملف النموذج ثلاثي الأبعاد المُنشأ بالتنسيق المحدد. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md
new file mode 100644
index 000000000..d6bef380f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md
@@ -0,0 +1,35 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md)
+
+## Overview
+
+Generate a 3D model from a text prompt using the Rodin Gen-2.5 API. You can choose between different quality modes (Fast, Regular, or Extreme-High) to balance generation speed and output quality.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Yes | Max 2500 characters | Text prompt describing the 3D model you want to generate. |
+| `mode` | COMBO | Yes | `"Fast"` `"Regular"` `"Extreme-High"` | The generation quality and speed mode. "Fast" is quickest, "Extreme-High" produces the highest quality but takes longer. |
+| `material` | COMBO | Yes | `"PBR"` `"Matte"` `"Shiny"` | The material style for the generated 3D model. |
+| `geometry_file_format` | COMBO | Yes | `"glb"` `"obj"` `"stl"` `"usdz"` | The file format for the output 3D model. |
+| `texture_mode` | COMBO | Yes | `"None"` `"Generated"` `"Generated+HD"` | Texture generation mode. "None" produces no textures, "Generated" creates standard textures, "Generated+HD" creates high-definition textures. |
+| `seed` | INT | Yes | 0 to 2147483647 | Random seed for reproducible results. Using the same seed with the same inputs will produce the same output. |
+| `TAPose` | BOOLEAN | Yes | True / False | Whether to apply T-pose (arms outstretched) to the generated model. |
+| `hd_texture` | BOOLEAN | Yes | True / False | Whether to generate high-definition textures for the model. |
+| `texture_delight` | BOOLEAN | Yes | True / False | Whether to apply texture delight (enhanced texture quality) to the model. |
+| `addon_highpack` | BOOLEAN | Yes | True / False | Whether to generate a high-polygon version of the model in addition to the standard one. |
+| `bbox_width` | INT | Yes | 1 to 1000 | The width of the bounding box in world units. |
+| `bbox_height` | INT | Yes | 1 to 1000 | The height of the bounding box in world units. |
+| `bbox_length` | INT | Yes | 1 to 1000 | The length of the bounding box in world units. |
+| `height_cm` | INT | Yes | 1 to 300 | The height of the generated model in centimeters. |
+
+**Note:** The `prompt` parameter must be between 1 and 2500 characters long. The `seed` parameter defaults to 0 (random) if not specified.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | The generated 3D model file in the specified format. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/es.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/es.md
new file mode 100644
index 000000000..08e016e5c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/es.md
@@ -0,0 +1,35 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/es.md)
+
+## Descripción general
+
+Genera un modelo 3D a partir de una descripción textual utilizando la API de Rodin Gen-2.5. Puedes elegir entre diferentes modos de calidad (Rápido, Normal o Ultra-Alto) para equilibrar la velocidad de generación y la calidad del resultado.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `prompt` | STRING | Sí | Máximo 2500 caracteres | Descripción textual del modelo 3D que deseas generar. |
+| `mode` | COMBO | Sí | `"Fast"` `"Regular"` `"Extreme-High"` | Modo de calidad y velocidad de generación. "Fast" es el más rápido, "Extreme-High" produce la mayor calidad pero tarda más tiempo. |
+| `material` | COMBO | Sí | `"PBR"` `"Matte"` `"Shiny"` | El estilo de material para el modelo 3D generado. |
+| `geometry_file_format` | COMBO | Sí | `"glb"` `"obj"` `"stl"` `"usdz"` | El formato de archivo para el modelo 3D de salida. |
+| `texture_mode` | COMBO | Sí | `"None"` `"Generated"` `"Generated+HD"` | Modo de generación de texturas. "None" no produce texturas, "Generated" crea texturas estándar, "Generated+HD" crea texturas de alta definición. |
+| `seed` | INT | Sí | 0 a 2147483647 | Semilla aleatoria para resultados reproducibles. Usar la misma semilla con las mismas entradas producirá la misma salida. |
+| `TAPose` | BOOLEAN | Sí | Verdadero / Falso | Si se debe aplicar la pose T (brazos extendidos) al modelo generado. |
+| `hd_texture` | BOOLEAN | Sí | Verdadero / Falso | Si se deben generar texturas de alta definición para el modelo. |
+| `texture_delight` | BOOLEAN | Sí | Verdadero / Falso | Si se debe aplicar realce de textura (calidad de textura mejorada) al modelo. |
+| `addon_highpack` | BOOLEAN | Sí | Verdadero / Falso | Si se debe generar una versión de alta poligonización del modelo además de la estándar. |
+| `bbox_width` | INT | Sí | 1 a 1000 | El ancho de la caja delimitadora en unidades del mundo. |
+| `bbox_height` | INT | Sí | 1 a 1000 | La altura de la caja delimitadora en unidades del mundo. |
+| `bbox_length` | INT | Sí | 1 a 1000 | La longitud de la caja delimitadora en unidades del mundo. |
+| `height_cm` | INT | Sí | 1 a 300 | La altura del modelo generado en centímetros. |
+
+**Nota:** El parámetro `prompt` debe tener entre 1 y 2500 caracteres. El parámetro `seed` tiene como valor predeterminado 0 (aleatorio) si no se especifica.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `model_file` | FILE3DANY | El archivo del modelo 3D generado en el formato especificado. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fa.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fa.md
new file mode 100644
index 000000000..591bd6cc9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fa.md
@@ -0,0 +1,35 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fa.md)
+
+## نمای کلی
+
+با استفاده از API Rodin Gen-2.5 یک مدل سهبعدی از روی توضیح متنی تولید کنید. میتوانید بین حالتهای کیفیت مختلف (سریع، معمولی یا فوقبالا) یکی را انتخاب کنید تا سرعت تولید و کیفیت خروجی را متعادل سازید.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | بله | حداکثر ۲۵۰۰ کاراکتر | توضیح متنی که مدل سهبعدی مورد نظر شما را توصیف میکند. |
+| `mode` | COMBO | بله | `"Fast"` `"Regular"` `"Extreme-High"` | حالت کیفیت و سرعت تولید. حالت "Fast" سریعترین است، "Extreme-High" بالاترین کیفیت را تولید میکند اما زمان بیشتری میبرد. |
+| `material` | COMBO | بله | `"PBR"` `"Matte"` `"Shiny"` | سبک متریال برای مدل سهبعدی تولیدشده. |
+| `geometry_file_format` | COMBO | بله | `"glb"` `"obj"` `"stl"` `"usdz"` | فرمت فایل برای مدل سهبعدی خروجی. |
+| `texture_mode` | COMBO | بله | `"None"` `"Generated"` `"Generated+HD"` | حالت تولید بافت. "None" هیچ بافتی تولید نمیکند، "Generated" بافتهای استاندارد و "Generated+HD" بافتهای با وضوح بالا ایجاد میکند. |
+| `seed` | INT | بله | ۰ تا ۲۱۴۷۴۸۳۶۴۷ | دانه تصادفی برای نتایج قابل تکرار. استفاده از دانه یکسان با ورودیهای یکسان، خروجی یکسانی تولید میکند. |
+| `TAPose` | BOOLEAN | بله | True / False | آیا حالت T-Pose (بازوهای کشیده) روی مدل تولیدشده اعمال شود. |
+| `hd_texture` | BOOLEAN | بله | True / False | آیا بافتهای با وضوح بالا برای مدل تولید شود. |
+| `texture_delight` | BOOLEAN | بله | True / False | آیا بهبود بافت (کیفیت بافت افزایشیافته) روی مدل اعمال شود. |
+| `addon_highpack` | BOOLEAN | بله | True / False | آیا نسخه پرپلیگون مدل علاوه بر نسخه استاندارد تولید شود. |
+| `bbox_width` | INT | بله | ۱ تا ۱۰۰۰ | عرض جعبه محصور بر حسب واحدهای جهانی. |
+| `bbox_height` | INT | بله | ۱ تا ۱۰۰۰ | ارتفاع جعبه محصور بر حسب واحدهای جهانی. |
+| `bbox_length` | INT | بله | ۱ تا ۱۰۰۰ | طول جعبه محصور بر حسب واحدهای جهانی. |
+| `height_cm` | INT | بله | ۱ تا ۳۰۰ | ارتفاع مدل تولیدشده بر حسب سانتیمتر. |
+
+**نکته:** پارامتر `prompt` باید بین ۱ تا ۲۵۰۰ کاراکتر باشد. پارامتر `seed` در صورت عدم مشخصشدن، بهطور پیشفرض ۰ (تصادفی) است.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | فایل مدل سهبعدی تولیدشده در فرمت مشخصشده. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fr.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fr.md
new file mode 100644
index 000000000..19b8cd91c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fr.md
@@ -0,0 +1,37 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/fr.md)
+
+Voici la traduction en français de la documentation technique du nœud ComfyUI Rodin Gen-2.5 Text :
+
+## Aperçu
+
+Générez un modèle 3D à partir d'une invite textuelle en utilisant l'API Rodin Gen-2.5. Vous pouvez choisir entre différents modes de qualité (Rapide, Normal ou Très élevé) pour équilibrer la vitesse de génération et la qualité du résultat.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `prompt` | STRING | Oui | 2500 caractères max | Invite textuelle décrivant le modèle 3D que vous souhaitez générer. |
+| `mode` | COMBO | Oui | `"Fast"` `"Regular"` `"Extreme-High"` | Le mode de qualité et de vitesse de génération. "Fast" est le plus rapide, "Extreme-High" produit la meilleure qualité mais prend plus de temps. |
+| `material` | COMBO | Oui | `"PBR"` `"Matte"` `"Shiny"` | Le style de matériau pour le modèle 3D généré. |
+| `geometry_file_format` | COMBO | Oui | `"glb"` `"obj"` `"stl"` `"usdz"` | Le format de fichier pour le modèle 3D de sortie. |
+| `texture_mode` | COMBO | Oui | `"None"` `"Generated"` `"Generated+HD"` | Mode de génération de texture. "None" ne produit aucune texture, "Generated" crée des textures standard, "Generated+HD" crée des textures haute définition. |
+| `seed` | INT | Oui | 0 à 2147483647 | Graine aléatoire pour des résultats reproductibles. Utiliser la même graine avec les mêmes entrées produira la même sortie. |
+| `TAPose` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut appliquer la pose en T (bras tendus) au modèle généré. |
+| `hd_texture` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut générer des textures haute définition pour le modèle. |
+| `texture_delight` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut appliquer un rehaussement de texture (qualité de texture améliorée) au modèle. |
+| `addon_highpack` | BOOLEAN | Oui | Vrai / Faux | Indique s'il faut générer une version haute polygone du modèle en plus de la version standard. |
+| `bbox_width` | INT | Oui | 1 à 1000 | La largeur de la boîte englobante en unités monde. |
+| `bbox_height` | INT | Oui | 1 à 1000 | La hauteur de la boîte englobante en unités monde. |
+| `bbox_length` | INT | Oui | 1 à 1000 | La longueur de la boîte englobante en unités monde. |
+| `height_cm` | INT | Oui | 1 à 300 | La hauteur du modèle généré en centimètres. |
+
+**Remarque :** Le paramètre `prompt` doit contenir entre 1 et 2500 caractères. Le paramètre `seed` est par défaut à 0 (aléatoire) s'il n'est pas spécifié.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `model_file` | FILE3DANY | Le fichier de modèle 3D généré dans le format spécifié. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md
new file mode 100644
index 000000000..38cfdf36f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md
@@ -0,0 +1,35 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md)
+
+## 概要
+
+Rodin Gen-2.5 APIを使用して、テキストプロンプトから3Dモデルを生成します。生成速度と出力品質のバランスを調整するために、異なる品質モード（Fast、Regular、Extreme-High）から選択できます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | はい | 最大2500文字 | 生成したい3Dモデルを説明するテキストプロンプト。 |
+| `mode` | COMBO | はい | `"Fast"` `"Regular"` `"Extreme-High"` | 生成品質と速度のモード。"Fast"が最も速く、"Extreme-High"は最高品質ですが時間がかかります。 |
+| `material` | COMBO | はい | `"PBR"` `"Matte"` `"Shiny"` | 生成される3Dモデルのマテリアルスタイル。 |
+| `geometry_file_format` | COMBO | はい | `"glb"` `"obj"` `"stl"` `"usdz"` | 出力3Dモデルのファイル形式。 |
+| `texture_mode` | COMBO | はい | `"None"` `"Generated"` `"Generated+HD"` | テクスチャ生成モード。"None"はテクスチャなし、"Generated"は標準テクスチャ、"Generated+HD"は高精細テクスチャを生成します。 |
+| `seed` | INT | はい | 0 ～ 2147483647 | 再現可能な結果を得るためのランダムシード。同じシードと入力で同じ出力が得られます。 |
+| `TAPose` | BOOLEAN | はい | True / False | 生成モデルにTポーズ（腕を伸ばした姿勢）を適用するかどうか。 |
+| `hd_texture` | BOOLEAN | はい | True / False | モデルに高精細テクスチャを生成するかどうか。 |
+| `texture_delight` | BOOLEAN | はい | True / False | モデルにテクスチャデライト（テクスチャ品質の向上）を適用するかどうか。 |
+| `addon_highpack` | BOOLEAN | はい | True / False | 標準モデルに加えて高ポリゴンバージョンのモデルを生成するかどうか。 |
+| `bbox_width` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの幅。 |
+| `bbox_height` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの高さ。 |
+| `bbox_length` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの奥行き。 |
+| `height_cm` | INT | はい | 1 ～ 300 | 生成されるモデルの高さ（センチメートル）。 |
+
+**注記:** `prompt`パラメータは1文字以上2500文字以下である必要があります。`seed`パラメータは指定がない場合、デフォルトで0（ランダム）になります。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | 指定された形式で生成された3Dモデルファイル。 |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ko.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ko.md
new file mode 100644
index 000000000..be291135e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ko.md
@@ -0,0 +1,35 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ko.md)
+
+## 개요
+
+Rodin Gen-2.5 API를 사용하여 텍스트 프롬프트로 3D 모델을 생성합니다. 생성 속도와 출력 품질의 균형을 위해 다양한 품질 모드(빠름, 일반, 초고화질) 중에서 선택할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 예 | 최대 2500자 | 생성하려는 3D 모델을 설명하는 텍스트 프롬프트입니다. |
+| `mode` | COMBO | 예 | `"Fast"` `"Regular"` `"Extreme-High"` | 생성 품질 및 속도 모드입니다. "Fast"가 가장 빠르며, "Extreme-High"는 최고 품질을 제공하지만 시간이 더 오래 걸립니다. |
+| `material` | COMBO | 예 | `"PBR"` `"Matte"` `"Shiny"` | 생성된 3D 모델의 재질 스타일입니다. |
+| `geometry_file_format` | COMBO | 예 | `"glb"` `"obj"` `"stl"` `"usdz"` | 출력 3D 모델의 파일 형식입니다. |
+| `texture_mode` | COMBO | 예 | `"None"` `"Generated"` `"Generated+HD"` | 텍스처 생성 모드입니다. "None"은 텍스처를 생성하지 않으며, "Generated"는 표준 텍스처를, "Generated+HD"는 고해상도 텍스처를 생성합니다. |
+| `seed` | INT | 예 | 0 ~ 2147483647 | 재현 가능한 결과를 위한 난수 시드입니다. 동일한 입력과 동일한 시드를 사용하면 동일한 출력이 생성됩니다. |
+| `TAPose` | BOOLEAN | 예 | True / False | 생성된 모델에 T-포즈(팔을 벌린 자세)를 적용할지 여부입니다. |
+| `hd_texture` | BOOLEAN | 예 | True / False | 모델에 고해상도 텍스처를 생성할지 여부입니다. |
+| `texture_delight` | BOOLEAN | 예 | True / False | 모델에 텍스처 디라이트(향상된 텍스처 품질)를 적용할지 여부입니다. |
+| `addon_highpack` | BOOLEAN | 예 | True / False | 표준 모델 외에 고폴리곤 버전의 모델을 추가로 생성할지 여부입니다. |
+| `bbox_width` | INT | 예 | 1 ~ 1000 | 월드 단위로 표시되는 경계 상자의 너비입니다. |
+| `bbox_height` | INT | 예 | 1 ~ 1000 | 월드 단위로 표시되는 경계 상자의 높이입니다. |
+| `bbox_length` | INT | 예 | 1 ~ 1000 | 월드 단위로 표시되는 경계 상자의 깊이입니다. |
+| `height_cm` | INT | 예 | 1 ~ 300 | 생성된 모델의 높이(센티미터)입니다. |
+
+**참고:** `prompt` 매개변수는 1자에서 2500자 사이여야 합니다. `seed` 매개변수는 지정하지 않을 경우 기본값 0(무작위)으로 설정됩니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | 지정된 형식의 생성된 3D 모델 파일입니다. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/pt-BR.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/pt-BR.md
new file mode 100644
index 000000000..a725f9e29
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/pt-BR.md
@@ -0,0 +1,37 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/pt-BR.md)
+
+Esta documentação foi gerada por IA. Se encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md)
+
+## Visão Geral
+
+Gere um modelo 3D a partir de um prompt de texto usando a API Rodin Gen-2.5. Você pode escolher entre diferentes modos de qualidade (Rápido, Regular ou Ultra-Alto) para equilibrar a velocidade de geração e a qualidade da saída.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `prompt` | STRING | Sim | Máx. 2500 caracteres | Prompt de texto descrevendo o modelo 3D que você deseja gerar. |
+| `mode` | COMBO | Sim | `"Fast"` `"Regular"` `"Extreme-High"` | O modo de qualidade e velocidade de geração. "Fast" é o mais rápido, "Extreme-High" produz a maior qualidade, mas leva mais tempo. |
+| `material` | COMBO | Sim | `"PBR"` `"Matte"` `"Shiny"` | O estilo de material para o modelo 3D gerado. |
+| `geometry_file_format` | COMBO | Sim | `"glb"` `"obj"` `"stl"` `"usdz"` | O formato de arquivo para o modelo 3D de saída. |
+| `texture_mode` | COMBO | Sim | `"None"` `"Generated"` `"Generated+HD"` | Modo de geração de textura. "None" não produz texturas, "Generated" cria texturas padrão, "Generated+HD" cria texturas em alta definição. |
+| `seed` | INT | Sim | 0 a 2147483647 | Semente aleatória para resultados reproduzíveis. Usar a mesma semente com as mesmas entradas produzirá a mesma saída. |
+| `TAPose` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve aplicar a pose T (braços estendidos) ao modelo gerado. |
+| `hd_texture` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve gerar texturas em alta definição para o modelo. |
+| `texture_delight` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve aplicar realce de textura (qualidade de textura aprimorada) ao modelo. |
+| `addon_highpack` | BOOLEAN | Sim | Verdadeiro / Falso | Se deve gerar uma versão de alta poligonagem do modelo além da versão padrão. |
+| `bbox_width` | INT | Sim | 1 a 1000 | A largura da caixa delimitadora em unidades de mundo. |
+| `bbox_height` | INT | Sim | 1 a 1000 | A altura da caixa delimitadora em unidades de mundo. |
+| `bbox_length` | INT | Sim | 1 a 1000 | O comprimento da caixa delimitadora em unidades de mundo. |
+| `height_cm` | INT | Sim | 1 a 300 | A altura do modelo gerado em centímetros. |
+
+**Nota:** O parâmetro `prompt` deve ter entre 1 e 2500 caracteres. O parâmetro `seed` tem como padrão 0 (aleatório) se não for especificado.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `model_file` | FILE3DANY | O arquivo do modelo 3D gerado no formato especificado. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ru.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ru.md
new file mode 100644
index 000000000..c0c0468e1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ru.md
@@ -0,0 +1,35 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ru.md)
+
+## Обзор
+
+Создайте 3D-модель по текстовому описанию с помощью API Rodin Gen-2.5. Вы можете выбрать один из режимов качества (Быстрый, Обычный или Экстремально высокий) для баланса между скоростью генерации и качеством результата.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Да | Макс. 2500 символов | Текстовое описание 3D-модели, которую вы хотите создать. |
+| `mode` | COMBO | Да | `"Fast"` `"Regular"` `"Extreme-High"` | Режим качества и скорости генерации. "Fast" — самый быстрый, "Extreme-High" обеспечивает наивысшее качество, но требует больше времени. |
+| `material` | COMBO | Да | `"PBR"` `"Matte"` `"Shiny"` | Стиль материала для создаваемой 3D-модели. |
+| `geometry_file_format` | COMBO | Да | `"glb"` `"obj"` `"stl"` `"usdz"` | Формат файла для выходной 3D-модели. |
+| `texture_mode` | COMBO | Да | `"None"` `"Generated"` `"Generated+HD"` | Режим генерации текстур. "None" — без текстур, "Generated" — создание стандартных текстур, "Generated+HD" — создание текстур высокого разрешения. |
+| `seed` | INT | Да | от 0 до 2147483647 | Случайное зерно для воспроизводимых результатов. Использование одного и того же зерна с одинаковыми входными данными приведёт к одинаковому результату. |
+| `TAPose` | BOOLEAN | Да | True / False | Применить ли T-позу (руки в стороны) к создаваемой модели. |
+| `hd_texture` | BOOLEAN | Да | True / False | Создавать ли текстуры высокого разрешения для модели. |
+| `texture_delight` | BOOLEAN | Да | True / False | Применять ли улучшение текстур (повышенное качество текстур) к модели. |
+| `addon_highpack` | BOOLEAN | Да | True / False | Создавать ли высокополигональную версию модели в дополнение к стандартной. |
+| `bbox_width` | INT | Да | от 1 до 1000 | Ширина ограничивающего прямоугольника в мировых единицах. |
+| `bbox_height` | INT | Да | от 1 до 1000 | Высота ограничивающего прямоугольника в мировых единицах. |
+| `bbox_length` | INT | Да | от 1 до 1000 | Длина ограничивающего прямоугольника в мировых единицах. |
+| `height_cm` | INT | Да | от 1 до 300 | Высота создаваемой модели в сантиметрах. |
+
+**Примечание:** Параметр `prompt` должен содержать от 1 до 2500 символов. Параметр `seed` по умолчанию равен 0 (случайное значение), если не указан иначе.
+
+## Выходные данные
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | Файл созданной 3D-модели в указанном формате. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/tr.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/tr.md
new file mode 100644
index 000000000..017caca58
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/tr.md
@@ -0,0 +1,35 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/tr.md)
+
+## Genel Bakış
+
+Rodin Gen-2.5 API'sini kullanarak bir metin isteminden 3B model oluşturun. Üretim hızı ve çıktı kalitesini dengelemek için farklı kalite modları (Hızlı, Normal veya Aşırı Yüksek) arasından seçim yapabilirsiniz.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | Evet | Maksimum 2500 karakter | Oluşturmak istediğiniz 3B modeli tanımlayan metin istemi. |
+| `mode` | COMBO | Evet | `"Hızlı"` `"Normal"` `"Aşırı Yüksek"` | Üretim kalitesi ve hız modu. "Hızlı" en hızlısıdır, "Aşırı Yüksek" en yüksek kaliteyi üretir ancak daha uzun sürer. |
+| `material` | COMBO | Evet | `"PBR"` `"Mat"` `"Parlak"` | Oluşturulan 3B model için malzeme stili. |
+| `geometry_file_format` | COMBO | Evet | `"glb"` `"obj"` `"stl"` `"usdz"` | Çıktı 3B modeli için dosya biçimi. |
+| `texture_mode` | COMBO | Evet | `"Yok"` `"Oluşturuldu"` `"Oluşturuldu+HD"` | Doku oluşturma modu. "Yok" doku üretmez, "Oluşturuldu" standart dokular oluşturur, "Oluşturuldu+HD" yüksek çözünürlüklü dokular oluşturur. |
+| `seed` | INT | Evet | 0 ile 2147483647 arası | Tekrarlanabilir sonuçlar için rastgele tohum değeri. Aynı girdilerle aynı tohum değerini kullanmak aynı çıktıyı üretecektir. |
+| `TAPose` | BOOLEAN | Evet | Doğru / Yanlış | Oluşturulan modele T-pozu (kollar açık) uygulanıp uygulanmayacağı. |
+| `hd_texture` | BOOLEAN | Evet | Doğru / Yanlış | Model için yüksek çözünürlüklü doku oluşturulup oluşturulmayacağı. |
+| `texture_delight` | BOOLEAN | Evet | Doğru / Yanlış | Modele doku iyileştirmesi (gelişmiş doku kalitesi) uygulanıp uygulanmayacağı. |
+| `addon_highpack` | BOOLEAN | Evet | Doğru / Yanlış | Standart modele ek olarak yüksek poligonlu bir sürüm oluşturulup oluşturulmayacağı. |
+| `bbox_width` | INT | Evet | 1 ile 1000 arası | Sınırlayıcı kutunun dünya birimleri cinsinden genişliği. |
+| `bbox_height` | INT | Evet | 1 ile 1000 arası | Sınırlayıcı kutunun dünya birimleri cinsinden yüksekliği. |
+| `bbox_length` | INT | Evet | 1 ile 1000 arası | Sınırlayıcı kutunun dünya birimleri cinsinden uzunluğu. |
+| `height_cm` | INT | Evet | 1 ile 300 arası | Oluşturulan modelin santimetre cinsinden yüksekliği. |
+
+**Not:** `prompt` parametresi 1 ile 2500 karakter arasında olmalıdır. `seed` parametresi belirtilmezse varsayılan olarak 0 (rastgele) değerini alır.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | Belirtilen biçimde oluşturulan 3B model dosyası. |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh-TW.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh-TW.md
new file mode 100644
index 000000000..b1e55d2ab
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh-TW.md
@@ -0,0 +1,35 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh-TW.md)
+
+## 概述
+
+使用 Rodin Gen-2.5 API 從文字提示生成 3D 模型。您可以選擇不同的品質模式（快速、一般或極高），以平衡生成速度和輸出品質。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 最多 2500 個字元 | 描述您想要生成的 3D 模型的文字提示。 |
+| `mode` | COMBO | 是 | `"Fast"` `"Regular"` `"Extreme-High"` | 生成品質與速度模式。「Fast」最快，「Extreme-High」品質最高但耗時較長。 |
+| `material` | COMBO | 是 | `"PBR"` `"Matte"` `"Shiny"` | 生成的 3D 模型的材質風格。 |
+| `geometry_file_format` | COMBO | 是 | `"glb"` `"obj"` `"stl"` `"usdz"` | 輸出 3D 模型的檔案格式。 |
+| `texture_mode` | COMBO | 是 | `"None"` `"Generated"` `"Generated+HD"` | 紋理生成模式。「None」不產生紋理，「Generated」建立標準紋理，「Generated+HD」建立高畫質紋理。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 用於可重現結果的隨機種子。使用相同的種子和輸入將產生相同的輸出。 |
+| `TAPose` | BOOLEAN | 是 | True / False | 是否對生成的模型套用 T 姿勢（雙臂伸展）。 |
+| `hd_texture` | BOOLEAN | 是 | True / False | 是否為模型生成高畫質紋理。 |
+| `texture_delight` | BOOLEAN | 是 | True / False | 是否對模型套用紋理增強（提升紋理品質）。 |
+| `addon_highpack` | BOOLEAN | 是 | True / False | 是否在標準模型之外，額外生成高多邊形版本的模型。 |
+| `bbox_width` | INT | 是 | 1 到 1000 | 邊界框的寬度（以世界單位計）。 |
+| `bbox_height` | INT | 是 | 1 到 1000 | 邊界框的高度（以世界單位計）。 |
+| `bbox_length` | INT | 是 | 1 到 1000 | 邊界框的長度（以世界單位計）。 |
+| `height_cm` | INT | 是 | 1 到 300 | 生成的模型高度（以公分計）。 |
+
+**注意：** `prompt` 參數長度必須介於 1 到 2500 個字元之間。若未指定，`seed` 參數預設為 0（隨機）。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | 以指定格式生成的 3D 模型檔案。 |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh.md
new file mode 100644
index 000000000..9318b5766
--- /dev/null
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh.md
@@ -0,0 +1,35 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh.md)
+
+## 概述
+
+使用 Rodin Gen-2.5 API 从文本提示生成 3D 模型。您可以在不同的质量模式（快速、常规或极致高清）之间进行选择，以平衡生成速度和输出质量。
+
+## 输入
+
+| 参数 | 数据类型 | 是否必需 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `prompt` | STRING | 是 | 最多 2500 个字符 | 描述您想要生成的 3D 模型的文本提示。 |
+| `mode` | COMBO | 是 | `"Fast"` `"Regular"` `"Extreme-High"` | 生成质量和速度模式。"Fast" 速度最快，"Extreme-High" 质量最高但耗时更长。 |
+| `material` | COMBO | 是 | `"PBR"` `"Matte"` `"Shiny"` | 生成 3D 模型的材质风格。 |
+| `geometry_file_format` | COMBO | 是 | `"glb"` `"obj"` `"stl"` `"usdz"` | 输出 3D 模型的文件格式。 |
+| `texture_mode` | COMBO | 是 | `"None"` `"Generated"` `"Generated+HD"` | 纹理生成模式。"None" 不生成纹理，"Generated" 创建标准纹理，"Generated+HD" 创建高清纹理。 |
+| `seed` | INT | 是 | 0 到 2147483647 | 用于可重现结果的随机种子。使用相同的种子和相同的输入将产生相同的输出。 |
+| `TAPose` | BOOLEAN | 是 | True / False | 是否对生成的模型应用 T 姿势（双臂伸展）。 |
+| `hd_texture` | BOOLEAN | 是 | True / False | 是否为模型生成高清纹理。 |
+| `texture_delight` | BOOLEAN | 是 | True / False | 是否对模型应用纹理增强（提升纹理质量）。 |
+| `addon_highpack` | BOOLEAN | 是 | True / False | 是否在标准模型之外额外生成高多边形版本。 |
+| `bbox_width` | INT | 是 | 1 到 1000 | 边界框的宽度（世界单位）。 |
+| `bbox_height` | INT | 是 | 1 到 1000 | 边界框的高度（世界单位）。 |
+| `bbox_length` | INT | 是 | 1 到 1000 | 边界框的长度（世界单位）。 |
+| `height_cm` | INT | 是 | 1 到 300 | 生成模型的高度（厘米）。 |
+
+**注意：** `prompt` 参数长度必须在 1 到 2500 个字符之间。如果未指定，`seed` 参数默认为 0（随机）。
+
+## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `model_file` | FILE3DANY | 以指定格式生成的 3D 模型文件。 |
+
+---
+**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md b/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md
index 5367898d8..a271b865c 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md
@@ -6,10 +6,12 @@ The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes inpu
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. Multiple images can be provided. |
-| `Seed` | INT | Yes | - | Random seed value for reproducible results. |
-| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model. |
-| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model. This parameter determines the quality mode and mesh complexity. |
+| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. Up to 5 images can be provided. |
+| `Seed` | INT | No | 0 to 65535 | Random seed value for reproducible results (default: 0). |
+| `Material_Type` | STRING | No | `"PBR"` `"Shaded"` | Type of material to apply to the 3D model (default: "PBR"). |
+| `Polygon_count` | STRING | No | `"4K-Quad"` `"8K-Quad"` `"18K-Quad"` `"50K-Quad"` `"200K-Triangle"` | Target polygon count and mesh type for the generated 3D model (default: "18K-Quad"). |
+
+**Note:** At least 1 image is required for 3D model generation. A maximum of 5 images can be provided.
## Outputs
@@ -19,4 +21,4 @@ The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes inpu
| `GLB` | FILE3DGLB | The generated 3D model in GLB format. |
---
-**Source fingerprint (SHA-256):** `f937be3aa579baf4407434839e741141d6bd63c09b7e0bdc49a9e92a10d7a130`
+**Source fingerprint (SHA-256):** `5d65be9cb92da615690df5665ca02c98e98e95510e002502a33fd869c31e7419`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md b/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md
index d06a8331c..8a42a0777 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md
@@ -6,8 +6,10 @@ This node generates 3D assets using the Rodin API. It takes input images and con
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `Images` | IMAGE | Yes | - | Input images to be converted into 3D models. Multiple images can be provided. |
-| `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0). Set to 0 for random seed. |
+| `Images` | IMAGE | Yes | 1 to 5 images | Input images to be converted into 3D models. You can provide between 1 and 5 images. |
+| `Seed` | INT | No | 0 to 65535 | Random seed value for generation (default: 0). Set to 0 for a random seed. |
+
+**Note:** The node requires at least 1 image and supports a maximum of 5 images. If no images are provided, the node will raise an error.
## Outputs
@@ -17,4 +19,4 @@ This node generates 3D assets using the Rodin API. It takes input images and con
| `GLB` | FILE3DGLB | The generated 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `d3bc71e6a44c11cbeff25351d561e99a7f09ed8ce3544d2968a873b6796512da`
+**Source fingerprint (SHA-256):** `7030e6966a13b62055a17fc1eb39f34aa228fa37bbdcf7c2d5dbbbc1ca96c819`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md b/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md
index 802fe8bd4..9b7b4f49d 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md
@@ -6,10 +6,12 @@ The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing i
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Multiple images can be provided. |
-| `Seed` | INT | Yes | - | Random seed value for generation consistency. |
-| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model. |
-| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model. Determines the mesh quality and detail level. |
+| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Multiple images can be provided (up to 5). |
+| `Seed` | INT | No | 0 to 65535 | Random seed value for generation consistency (default: 0). |
+| `Material_Type` | STRING | No | "PBR" "Shaded" | Type of material to apply to the 3D model (default: "PBR"). |
+| `Polygon_count` | STRING | No | "4K-Quad" "8K-Quad" "18K-Quad" "50K-Quad" "200K-Triangle" | Target polygon count for the generated 3D model. Determines the mesh quality and detail level (default: "18K-Quad"). |
+
+**Note:** The node accepts up to 5 input images. If no images are provided, an error will be raised.
## Outputs
@@ -19,4 +21,4 @@ The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing i
| `GLB` | FILE3DGLB | The generated 3D model in GLB format. |
---
-**Source fingerprint (SHA-256):** `18783d4a3010234a3640d20c73cdd78e35a0eef7090bd433dba0fcc58e35ad3f`
+**Source fingerprint (SHA-256):** `60a5d70fa095b46f221ce452e290739852b1ebeba34ab7ec21b0b4e3c8e6d164`
diff --git a/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md
index cae300391..0e78eca21 100644
--- a/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md
@@ -10,7 +10,7 @@ The Runway First-Last-Frame to Video node generates videos by uploading first an
| `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video |
| `end_frame` | IMAGE | Yes | N/A | End frame to be used for the video. Supported for gen3a_turbo only. |
| `duration` | COMBO | Yes | `"5"` `"10"` | Video duration in seconds (default: "5") |
-| `ratio` | COMBO | Yes | `"16:9"` `"9:16"` `"1:1"` | Aspect ratio for the generated video (default: "16:9") |
+| `ratio` | COMBO | Yes | `"768:1280"` `"1280:768"` | Aspect ratio for the generated video (default: "768:1280") |
| `seed` | INT | No | 0 to 4294967295 | Random seed for generation. Set to 0 for random seed (default: 0). |
**Parameter Constraints:**
@@ -27,4 +27,4 @@ The Runway First-Last-Frame to Video node generates videos by uploading first an
| `output` | VIDEO | The generated video transitioning between the start and end frames |
---
-**Source fingerprint (SHA-256):** `57b72c1143b7053272107403279e1f84919cbfe71c57ca4f4e21b4324f7a5346`
+**Source fingerprint (SHA-256):** `a2d4839bf30bff3e3199a18129eb32c8495b8ea0c9ce209e9b3d00574de35399`
diff --git a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md
index 694f50595..63abc25c2 100644
--- a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md
+++ b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md
@@ -9,7 +9,7 @@ The Runway Image to Video (Gen3a Turbo) node generates a video from a single sta
| `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: "") |
| `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video |
| `duration` | COMBO | Yes | `"5"` `"10"` | Video duration in seconds (default: "5") |
-| `ratio` | COMBO | Yes | `"1280x720"` `"720x1280"` `"1920x1080"` `"1080x1920"` `"1080x1080"` | Aspect ratio of the generated video (default: "1280x720") |
+| `ratio` | COMBO | Yes | `"768:1280"` `"1280:768"` | Aspect ratio of the generated video (default: "768:1280") |
| `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) |
**Parameter Constraints:**
@@ -25,4 +25,4 @@ The Runway Image to Video (Gen3a Turbo) node generates a video from a single sta
| `output` | VIDEO | The generated video sequence |
---
-**Source fingerprint (SHA-256):** `4f3270ce070ce50580699292e21c5f9e3b1a56dd8ac981f67a9026ef6fc8ed76`
+**Source fingerprint (SHA-256):** `ff88d2486746ab3ddf1b7a0c3184c54abd6bcb01e9743bc04c93e9c3a9e8d9ff`
diff --git a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md
index c5316f248..74860dad3 100644
--- a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md
+++ b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md
@@ -9,7 +9,7 @@ The Runway Image to Video (Gen4 Turbo) node generates a video from a single star
| `prompt` | STRING | Yes | - | Text prompt for the generation (default: empty string) |
| `start_frame` | IMAGE | Yes | - | Start frame to be used for the video |
| `duration` | COMBO | Yes | `"5"` `"10"` | Video duration in seconds (default: "5") |
-| `ratio` | COMBO | Yes | `"1024:1024"` `"1280:720"` `"720:1280"` `"1920:1080"` `"1080:1920"` `"2048:1080"` `"1080:2048"` | Aspect ratio for the generated video (default: "1024:1024") |
+| `ratio` | COMBO | Yes | `"1280:720"` `"720:1280"` `"1104:832"` `"832:1104"` `"960:960"` `"1584:672"` | Aspect ratio for the generated video (default: "1280:720") |
| `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) |
**Parameter Constraints:**
@@ -25,4 +25,4 @@ The Runway Image to Video (Gen4 Turbo) node generates a video from a single star
| `output` | VIDEO | The generated video based on the input frame and prompt |
---
-**Source fingerprint (SHA-256):** `ebb5f1cd5e6bf6e0fcfb4910c774c087980daf9a1987900ad966120608b924e7`
+**Source fingerprint (SHA-256):** `0b5a2c351277b8c2247b4625fd030dd6f4de8dafd92f59a969575db1ba2f7fe9`
diff --git a/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md b/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md
index 71792afde..4a44edafc 100644
--- a/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md
@@ -19,4 +19,4 @@ The Runway Text to Image node generates images from text prompts using Runway's
| `output` | IMAGE | The generated image based on the text prompt and optional reference image |
---
-**Source fingerprint (SHA-256):** `140f8e6b07216892d84f2d7fbc3afaf1c390e98ddedf27d4926032066a783f67`
+**Source fingerprint (SHA-256):** `212eec9ae7ae3df06cefacae361cfd1f623ea7b6b1ca0e4beb4f5b7df76226e5`
diff --git a/comfyui_embedded_docs/docs/SAM3_Detect/en.md b/comfyui_embedded_docs/docs/SAM3_Detect/en.md
index f52d1a113..7bb9b1c28 100644
--- a/comfyui_embedded_docs/docs/SAM3_Detect/en.md
+++ b/comfyui_embedded_docs/docs/SAM3_Detect/en.md
@@ -37,4 +37,4 @@ The SAM3 Detect node performs open-vocabulary detection and segmentation using t
| `bboxes` | BOUNDING_BOX | Detected bounding boxes with coordinates and confidence scores. Each box includes `x`, `y`, `width`, `height`, and `score` values |
---
-**Source fingerprint (SHA-256):** `d073bda7eca934f3c64e1be740f5fb5249d27046a8be5902ea5d2245d5f679ea`
+**Source fingerprint (SHA-256):** `3f61343c284c249476f2010831863c6094260b11d0a348003b270a126c67d399`
diff --git a/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md b/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md
index 37ba9928e..213452aac 100644
--- a/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md
+++ b/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md
@@ -20,4 +20,4 @@ This node creates a video preview of tracked objects, drawing each tracked objec
| `ui` | PREVIEW_VIDEO | A UI element that displays the generated preview video. No tensor data is returned. |
---
-**Source fingerprint (SHA-256):** `8300d4fa89c7bbc481ac9a59868ede0e3c9413faa63d56c16a4f603ef878e877`
+**Source fingerprint (SHA-256):** `76389f354c8acdf249137d966765069d530034a0f8eeb39d769bde3c0f7a1bd0`
diff --git a/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md b/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md
index a8e89bd37..f45f70422 100644
--- a/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md
+++ b/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md
@@ -18,4 +18,4 @@ Selects specific tracked objects from a SAM3 tracking session by their index num
| `masks` | MASK | A single binary mask for each frame, where selected objects are combined into one mask. If no objects are selected or no tracking data exists, returns a zero mask. |
---
-**Source fingerprint (SHA-256):** `2da82effc4cdc6655d0d37e281858bf33f7b62d9056629ec810e3ff9b2e7b5a6`
+**Source fingerprint (SHA-256):** `77c9f5142f2078fabb81e58979df01ad9ec41d3de953939570bebb4f2687f8ad`
diff --git a/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md b/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md
index b5778ebf2..ee0dbf076 100644
--- a/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md
+++ b/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md
@@ -25,4 +25,4 @@ Track objects across video frames using SAM3's memory-based tracker. This node p
| `track_data` | SAM3TrackData | Tracking data containing object masks and metadata across all video frames |
---
-**Source fingerprint (SHA-256):** `30768bdf5839c1d7b984675e68a127a27f21b17724a2dc885e27f00c272db3cb`
+**Source fingerprint (SHA-256):** `36ee256c46ea3816be4d06b64d945b79af530032f29e5e4c8741971c7ebf9fae`
diff --git a/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md b/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md
index 45fa52633..4da8c1d04 100644
--- a/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md
+++ b/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md
@@ -24,4 +24,4 @@ The SDPoseDrawKeypoints node takes pose estimation data (keypoints) and draws th
| `output` | IMAGE | An image with the drawn pose keypoints. The image dimensions match the `canvas_height` and `canvas_width` specified in the input keypoint data. |
---
-**Source fingerprint (SHA-256):** `c01397ed3608b65b737b60c2ae50919e0217cfe63b3695b68f176c2d69faa9c1`
+**Source fingerprint (SHA-256):** `09b91930bd88c64aefe32b2b742562537408a13882ad59398fb2e8bcd12fa4eb`
diff --git a/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md b/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md
index cf877ad0b..94f841967 100644
--- a/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md
+++ b/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md
@@ -19,4 +19,4 @@ The SDPoseFaceBBoxes node processes pose keypoint data to detect and generate bo
| `bboxes` | BOUNDINGBOX | A list of face bounding boxes for each frame. Each bounding box is defined by its top-left coordinates (`x`, `y`), `width`, and `height`. This output is compatible with the `bboxes` input of the SDPoseKeypointExtractor node. |
---
-**Source fingerprint (SHA-256):** `bffbcddb882f6743a6cace6a4884fa5a257b746897c79ba9260c15260fab874e`
+**Source fingerprint (SHA-256):** `dc68640f46afcba4c10a907fd9467671d508cd5bac7670b35a038d159f9d8f50`
diff --git a/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md b/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md
index 17f886741..24702fc61 100644
--- a/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md
+++ b/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md
@@ -17,6 +17,8 @@ The SDPoseKeypointExtractor node detects human pose keypoints from input images
* The node operates in two distinct modes based on the `bboxes` input:
1. **Bounding Box Mode:** When `bboxes` is provided, it processes each specified region individually. This is required for detecting multiple people in a single image.
2. **Full-Image Mode:** When `bboxes` is not provided, it processes the entire image as a batch. The `batch_size` parameter only applies in this mode.
+* When `bboxes` is provided, it must be a list of bounding boxes. If there are fewer bounding box lists than images, the last list is reused for remaining images.
+* Bounding boxes with zero width or height (e.g., `x2 <= x1` or `y2 <= y1`) are skipped.
## Outputs
@@ -25,4 +27,4 @@ The SDPoseKeypointExtractor node detects human pose keypoints from input images
| `keypoints` | POSE_KEYPOINT | Keypoints in OpenPose frame format (canvas_width, canvas_height, people). The output contains the detected persons, each with an array of keypoint coordinates (x, y) and their corresponding confidence scores. |
---
-**Source fingerprint (SHA-256):** `7903b51c9137aa08bb8843362740fcf93cea9c09d142bd1db3b5eee945c853e4`
+**Source fingerprint (SHA-256):** `5e199e9d08a46d934c6d1f4b1a411f0ca95eb5e7f85ec39f59a058c9be598e9f`
diff --git a/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md b/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md
index bc132046a..cd054f7c4 100644
--- a/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md
+++ b/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md
@@ -21,4 +21,4 @@ The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling imag
| `latent` | LATENT | Empty latent representation matching the upscaled dimensions |
---
-**Source fingerprint (SHA-256):** `ede1ea8f5a95e7f9e52070b5132a4ed3e87f92230d14a74b9d713f547c74d785`
+**Source fingerprint (SHA-256):** `06e8e451cc939019e1d7213ab24ff1e4a9937540733194d66edbc5d32d352e16`
diff --git a/comfyui_embedded_docs/docs/SUPIRApply/en.md b/comfyui_embedded_docs/docs/SUPIRApply/en.md
index c9475b40d..8071316e1 100644
--- a/comfyui_embedded_docs/docs/SUPIRApply/en.md
+++ b/comfyui_embedded_docs/docs/SUPIRApply/en.md
@@ -24,4 +24,4 @@ The SUPIRApply node applies a SUPIR model patch to a diffusion model. It uses th
| `model` | MODEL | The diffusion model with the SUPIR patch applied and any additional post-CFG functions configured. |
---
-**Source fingerprint (SHA-256):** `32ba7a337060b52d4c9085a6a2bc209c737e374dee4291d431d2caf768fc2817`
+**Source fingerprint (SHA-256):** `41900f166aa7c0e325da874a3e250c56b94569822292785b1b3165705eb22e0c`
diff --git a/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md b/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md
index 984a70434..5fd7560bb 100644
--- a/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md
+++ b/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md
@@ -9,10 +9,10 @@ The SV3D_Conditioning node prepares conditioning data for 3D video generation us
| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used for encoding the input image |
| `init_image` | IMAGE | Yes | - | The initial image that serves as the starting point for 3D video generation |
| `vae` | VAE | Yes | - | The VAE model used for encoding the image into latent space |
-| `width` | INT | No | 16 to MAX_RESOLUTION | The output width for the generated video frames (default: 576, must be divisible by 8) |
-| `height` | INT | No | 16 to MAX_RESOLUTION | The output height for the generated video frames (default: 576, must be divisible by 8) |
-| `video_frames` | INT | No | 1 to 4096 | The number of frames to generate for the video sequence (default: 21) |
-| `elevation` | FLOAT | No | -90.0 to 90.0 | The camera elevation angle in degrees for the 3D view (default: 0.0) |
+| `width` | INT | Yes | 16 to MAX_RESOLUTION | The output width for the generated video frames (default: 576, must be divisible by 8) |
+| `height` | INT | Yes | 16 to MAX_RESOLUTION | The output height for the generated video frames (default: 576, must be divisible by 8) |
+| `video_frames` | INT | Yes | 1 to 4096 | The number of frames to generate for the video sequence (default: 21) |
+| `elevation` | FLOAT | Yes | -90.0 to 90.0 | The camera elevation angle in degrees for the 3D view (default: 0.0) |
## Outputs
@@ -23,4 +23,4 @@ The SV3D_Conditioning node prepares conditioning data for 3D video generation us
| `latent` | LATENT | An empty latent tensor with dimensions matching the specified video frames and resolution |
---
-**Source fingerprint (SHA-256):** `be02939aa4cdd1785eb445034a27d08a90e390a497fa9697fb769f0ce26e6d2f`
+**Source fingerprint (SHA-256):** `a1d4b7f0106bcdc7c9640f6e12986d9b452f785882caaa2072ba1a5da0913f69`
diff --git a/comfyui_embedded_docs/docs/SamplerARVideo/en.md b/comfyui_embedded_docs/docs/SamplerARVideo/en.md
index 70626a5f9..b4573eb69 100644
--- a/comfyui_embedded_docs/docs/SamplerARVideo/en.md
+++ b/comfyui_embedded_docs/docs/SamplerARVideo/en.md
@@ -15,4 +15,4 @@ The Sampler AR Video node provides a specialized sampling method for autoregress
| `SAMPLER` | SAMPLER | A configured sampler object that uses the "ar_video" sampling function with the specified autoregressive parameters. |
---
-**Source fingerprint (SHA-256):** `5b735f98fdde074ee9483503fee0e2322d510aed846336b382a8ea89a363c9e4`
+**Source fingerprint (SHA-256):** `7f722791f55a4d8bbda1c00becf25c42e67e3a487712fa674ac118e978cf9812`
diff --git a/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md b/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md
index cc2c4f138..67940580e 100644
--- a/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md
+++ b/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md
@@ -10,14 +10,14 @@ The SamplerCustomAdvanced node performs advanced latent space sampling using cus
| `guider` | GUIDER | Yes | - | The guidance model that directs the sampling process toward desired outputs |
| `sampler` | SAMPLER | Yes | - | The sampling algorithm that defines how the latent space is traversed during generation |
| `sigmas` | SIGMAS | Yes | - | The sigma schedule that controls the noise levels throughout the sampling steps |
-| `latent_image` | LATENT | Yes | - | The initial latent representation that serves as the starting point for sampling |
+| `latent_image` | LATENT | Yes | - | The initial latent representation that serves as the starting point for sampling. Supports optional `noise_mask` for selective denoising, and optional `downscale_ratio_spacial` and `downscale_ratio_temporal` keys for advanced latent handling |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `output` | LATENT | The final sampled latent representation after completing the sampling process |
-| `denoised_output` | LATENT | A denoised version of the output when available, otherwise returns the same as the output |
+| `output` | LATENT | The final sampled latent representation after completing the sampling process. Any `downscale_ratio_spacial` or `downscale_ratio_temporal` keys from the input latent are removed from this output |
+| `denoised_output` | LATENT | A denoised version of the output when the sampling process produces an intermediate clean prediction (x0), otherwise returns the same as the output. When available, this represents the model's best estimate of the clean latent at each step |
---
-**Source fingerprint (SHA-256):** `bf711ecc0684ad04babe5c63a246195f358204d203e836587a90feff742929a3`
+**Source fingerprint (SHA-256):** `c6217a2b89009237366109e2156e279c3a1077f28c9e8bf9808b1f04788c5370`
diff --git a/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md b/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md
index da12b5934..7760aba71 100644
--- a/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md
+++ b/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md
@@ -24,4 +24,4 @@ The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilisti
| `sampler` | SAMPLER | Returns a configured DPM adaptive sampler instance |
---
-**Source fingerprint (SHA-256):** `2815ba8c3325d3d099de685edc99e9ff8e90736c1f4bd0188165969179cb99fa`
+**Source fingerprint (SHA-256):** `6f7bc9c02604d2645a3b33aa418c99706228ec5947722a7e45a0a519f7a42a9f`
diff --git a/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md b/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md
index 5458f14d6..aaf1f7064 100644
--- a/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md
+++ b/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md
@@ -9,7 +9,7 @@ The SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models
| `solver_type` | STRING | Yes | `"midpoint"` `"heun"` | The type of differential equation solver to use for the sampling process |
| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) |
| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) |
-| `noise_device` | STRING | Yes | `"gpu"` `"cpu"` | The device where noise calculations are performed. When set to "cpu", the sampler uses CPU-based noise generation; when set to "gpu", it uses GPU-based noise generation for potentially faster performance |
+| `noise_device` | STRING | Yes | `"gpu"` `"cpu"` | The device where noise calculations are performed. When set to "cpu", the sampler uses CPU-based noise generation; when set to "gpu", it uses GPU-based noise generation for potentially faster performance (default: "gpu") |
## Outputs
@@ -18,4 +18,4 @@ The SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models
| `sampler` | SAMPLER | A configured sampler object ready for use in the sampling pipeline |
---
-**Source fingerprint (SHA-256):** `4a6a16e3494e8270f3707e172f252e7fc4e1b65efbecd3dd086b1a1edc5ba23a`
+**Source fingerprint (SHA-256):** `1f699504ddefc6bdebee0fbad31b59aa38611f0fcdc40a15898be3db184872a6`
diff --git a/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md b/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md
index 7a09f07c8..ad2ebdf79 100644
--- a/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md
+++ b/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md
@@ -16,4 +16,4 @@ The SamplerDPMPP_2S_Ancestral node creates a sampler that uses the DPM++ 2S Ance
| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline |
---
-**Source fingerprint (SHA-256):** `9634c96934850f5b746cd7c8b29727396af534133b8d54b6bdac12e9e0975189`
+**Source fingerprint (SHA-256):** `f18f51eb960250b52e7cbe58e19ed61d9a64876368c643b83a88e80fdb821d7d`
diff --git a/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md b/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md
index 3fe326248..5aff17073 100644
--- a/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md
+++ b/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md
@@ -17,4 +17,4 @@ The SamplerDPMPP_3M_SDE node creates a DPM++ 3M SDE sampler for use in the sampl
| `sampler` | SAMPLER | Returns a configured sampler object for use in sampling workflows |
---
-**Source fingerprint (SHA-256):** `817ce8c12245063e5f2f3421f57dd55801aae96dfd8fe1bf3f88f814799b830a`
+**Source fingerprint (SHA-256):** `d25f8f69211ebca5aca8d1925d53f90a1bee3f883239635bffc107b5fdae8b36`
diff --git a/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md b/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md
index 5bc007eaf..04a2e40ca 100644
--- a/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md
+++ b/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md
@@ -18,4 +18,4 @@ The SamplerDPMPP_SDE node creates a DPM++ SDE (Stochastic Differential Equation)
| `sampler` | SAMPLER | Returns a configured DPM++ SDE sampler object for use in sampling pipelines |
---
-**Source fingerprint (SHA-256):** `43b3b3c4b2756a6e7979c12418de1dba79e3e0c0fde2a06505cf0a6825e6ebbf`
+**Source fingerprint (SHA-256):** `613c129801297c6b7e993727e570476f8b3b1aef16a402cf2115922299944402`
diff --git a/comfyui_embedded_docs/docs/SamplerER_SDE/en.md b/comfyui_embedded_docs/docs/SamplerER_SDE/en.md
index 952cc3bae..3dc06b447 100644
--- a/comfyui_embedded_docs/docs/SamplerER_SDE/en.md
+++ b/comfyui_embedded_docs/docs/SamplerER_SDE/en.md
@@ -23,4 +23,4 @@ The SamplerER_SDE node provides specialized sampling methods for diffusion model
| `sampler` | SAMPLER | A configured sampler object that can be used in the sampling pipeline with the specified solver settings. |
---
-**Source fingerprint (SHA-256):** `bc24ec3c5dc645aebf55ef3392c5f4a40dcf0461b4b77731e8fe7ff397dcfadf`
+**Source fingerprint (SHA-256):** `7a822bd28a41e616dea9feb1826d5bc1594fe0ba7429a7de21c602fe9f84ff10`
diff --git a/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md b/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md
index cccf55bcb..6c172e542 100644
--- a/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md
+++ b/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md
@@ -16,4 +16,4 @@ The SamplerEulerAncestral node creates an Euler Ancestral sampler for generating
| `sampler` | SAMPLER | Returns a configured Euler Ancestral sampler that can be used in the sampling pipeline. |
---
-**Source fingerprint (SHA-256):** `4d167de55f003383ccbb4a53daa14496bd931589781d56b62bf282a811669670`
+**Source fingerprint (SHA-256):** `e54d6ae421731851d54ba747063ff804b1def6024b530afdec0748d255ad1251`
diff --git a/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md b/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md
index fa1e01e95..e418f6c8c 100644
--- a/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md
+++ b/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md
@@ -16,4 +16,4 @@ The SamplerEulerAncestralCFGPP node creates a sampler that uses the Euler Ancest
| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the image generation pipeline |
---
-**Source fingerprint (SHA-256):** `7eceec539a6a045db4d9953214add17011ef9d17e663dbbbbbb2bae0cbe40aa2`
+**Source fingerprint (SHA-256):** `c519c9ff857a13e3a99fc907672925747565d8f1c6456c345138b33ebeda2b17`
diff --git a/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md b/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md
index e134396d0..9e1674c88 100644
--- a/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md
+++ b/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md
@@ -15,4 +15,4 @@ The SamplerEulerCFGpp node provides an Euler CFG++ sampling method for generatin
| `sampler` | SAMPLER | Returns a configured Euler CFG++ sampler instance |
---
-**Source fingerprint (SHA-256):** `f01732fc39a76fca697aaddefc8cec58d54ba9761eb8d93da806ddd162d42513`
+**Source fingerprint (SHA-256):** `ff80ae845259b6fd415f11f20bb224617c7a6134b8e02799fef4549d42d44b83`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/ar.md b/comfyui_embedded_docs/docs/SamplerLCM/ar.md
new file mode 100644
index 000000000..561ecc0dd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/ar.md
@@ -0,0 +1,20 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ar.md)
+
+عقدة SamplerLCM (مُجمّع نموذج الاتساق الكامن) توفر مُجمّع LCM مع معاملات ضوضاء قابلة للضبط لكل خطوة. تتيح لك التحكم في الضوضاء المُطبّقة في كل خطوة من خطوات أخذ العينات، مما يُتيح ضبطًا دقيقًا لعملية أخذ العينات.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | نعم | 0.0 إلى 64.0 (الخطوة: 0.01) | مُضاعِف الضوضاء لكل خطوة في الخطوة الأولى. القيمة 1.0 تُطابق مقياس ضوضاء التدريب للنموذج. (الافتراضي: 1.0) |
+| `s_noise_end` | FLOAT | نعم | 0.0 إلى 64.0 (الخطوة: 0.01) | مُضاعِف الضوضاء لكل خطوة في الخطوة الأخيرة. يُضبط مساويًا لـ `s_noise` للحصول على جدول ضوضاء ثابت. (الافتراضي: 1.0) |
+| `noise_clip_std` | FLOAT | نعم | 0.0 إلى 10.0 (الخطوة: 0.01) | يَحدّ الضوضاء لكل خطوة ضمن نطاق +/- N انحرافًا معياريًا. القيمة 0 تُعطّل عملية التحديد. (الافتراضي: 0.0) |
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | كائن مُجمّع LCM المُهيأ، جاهز للاستخدام في سير عمل أخذ العينات. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/en.md b/comfyui_embedded_docs/docs/SamplerLCM/en.md
new file mode 100644
index 000000000..1249699cd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/en.md
@@ -0,0 +1,20 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/en.md)
+
+The SamplerLCM node provides an LCM (Latent Consistency Model) sampler with tunable per-step noise parameters. It allows you to control the noise applied at each sampling step, enabling fine-grained adjustment of the sampling process.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the first step. A value of 1.0 matches the model's training noise scale. (default: 1.0) |
+| `s_noise_end` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the last step. Set equal to `s_noise` for a constant noise schedule. (default: 1.0) |
+| `noise_clip_std` | FLOAT | Yes | 0.0 to 10.0 (step: 0.01) | Clamps the per-step noise to within +/- N standard deviations. A value of 0 disables clamping. (default: 0.0) |
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | The configured LCM sampler object, ready to be used in a sampling workflow. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/es.md b/comfyui_embedded_docs/docs/SamplerLCM/es.md
new file mode 100644
index 000000000..0b6c20802
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/es.md
@@ -0,0 +1,20 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/es.md)
+
+El nodo SamplerLCM proporciona un muestreador LCM (Modelo de Consistencia Latente) con parámetros de ruido ajustables por paso. Permite controlar el ruido aplicado en cada paso de muestreo, lo que posibilita un ajuste detallado del proceso de muestreo.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `s_noise` | FLOAT | Sí | 0.0 a 64.0 (incremento: 0.01) | Multiplicador de ruido por paso en el primer paso. Un valor de 1.0 coincide con la escala de ruido de entrenamiento del modelo. (predeterminado: 1.0) |
+| `s_noise_end` | FLOAT | Sí | 0.0 a 64.0 (incremento: 0.01) | Multiplicador de ruido por paso en el último paso. Establecer igual a `s_noise` para una programación de ruido constante. (predeterminado: 1.0) |
+| `noise_clip_std` | FLOAT | Sí | 0.0 a 10.0 (incremento: 0.01) | Limita el ruido por paso a un rango de +/- N desviaciones estándar. Un valor de 0 desactiva la limitación. (predeterminado: 0.0) |
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|------------------|--------------|-------------|
+| `SAMPLER` | SAMPLER | El objeto muestreador LCM configurado, listo para ser utilizado en un flujo de trabajo de muestreo. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/fa.md b/comfyui_embedded_docs/docs/SamplerLCM/fa.md
new file mode 100644
index 000000000..710e957c0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/fa.md
@@ -0,0 +1,20 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/fa.md)
+
+گره SamplerLCM یک نمونهبردار LCM (مدل سازگار نهفته) با پارامترهای نویز قابل تنظیم در هر گام ارائه میدهد. این گره به شما امکان میدهد نویز اعمالشده در هر گام نمونهبرداری را کنترل کرده و تنظیمات دقیقتری بر فرآیند نمونهبرداری داشته باشید.
+
+## ورودیها
+
+| پارامتر | نوع داده | اجباری | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `s_noise` | FLOAT | بله | 0.0 تا 64.0 (گام: 0.01) | ضربکننده نویز در هر گام در گام اول. مقدار 1.0 با مقیاس نویز آموزش مدل مطابقت دارد. (پیشفرض: 1.0) |
+| `s_noise_end` | FLOAT | بله | 0.0 تا 64.0 (گام: 0.01) | ضربکننده نویز در هر گام در گام آخر. برای یک برنامه نویز ثابت، برابر با `s_noise` تنظیم کنید. (پیشفرض: 1.0) |
+| `noise_clip_std` | FLOAT | بله | 0.0 تا 10.0 (گام: 0.01) | نویز هر گام را در محدوده +/- N انحراف معیار محدود میکند. مقدار 0 محدودیت را غیرفعال میکند. (پیشفرض: 0.0) |
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `SAMPLER` | SAMPLER | شیء نمونهبردار LCM پیکربندیشده، آماده برای استفاده در یک جریان کاری نمونهبرداری. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/fr.md b/comfyui_embedded_docs/docs/SamplerLCM/fr.md
new file mode 100644
index 000000000..0c288a3d2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/fr.md
@@ -0,0 +1,20 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/fr.md)
+
+Le nœud SamplerLCM fournit un échantillonneur LCM (Modèle de Cohérence Latente) avec des paramètres de bruit par étape réglables. Il permet de contrôler le bruit appliqué à chaque étape d'échantillonnage, offrant un réglage fin du processus d'échantillonnage.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `s_noise` | FLOAT | Oui | 0,0 à 64,0 (pas : 0,01) | Multiplicateur de bruit par étape à la première étape. Une valeur de 1,0 correspond à l'échelle de bruit d'entraînement du modèle. (valeur par défaut : 1,0) |
+| `s_noise_end` | FLOAT | Oui | 0,0 à 64,0 (pas : 0,01) | Multiplicateur de bruit par étape à la dernière étape. Définissez-le égal à `s_noise` pour une planification de bruit constante. (valeur par défaut : 1,0) |
+| `noise_clip_std` | FLOAT | Oui | 0,0 à 10,0 (pas : 0,01) | Limite le bruit par étape à +/- N écarts types. Une valeur de 0 désactive la limitation. (valeur par défaut : 0,0) |
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `SAMPLER` | SAMPLER | L'objet échantillonneur LCM configuré, prêt à être utilisé dans un workflow d'échantillonnage. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/ja.md b/comfyui_embedded_docs/docs/SamplerLCM/ja.md
new file mode 100644
index 000000000..3ad0da8c8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/ja.md
@@ -0,0 +1,20 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ja.md)
+
+SamplerLCMノードは、調整可能なステップごとのノイズパラメータを備えたLCM（潜在整合性モデル）サンプラーを提供します。各サンプリングステップで適用されるノイズを制御できるため、サンプリングプロセスを細かく調整することが可能です。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | はい | 0.0～64.0（ステップ：0.01） | 最初のステップにおけるステップごとのノイズ乗数。値1.0はモデルの学習ノイズスケールに一致します。（デフォルト：1.0） |
+| `s_noise_end` | FLOAT | はい | 0.0～64.0（ステップ：0.01） | 最後のステップにおけるステップごとのノイズ乗数。一定のノイズスケジュールにするには、`s_noise`と同じ値を設定します。（デフォルト：1.0） |
+| `noise_clip_std` | FLOAT | はい | 0.0～10.0（ステップ：0.01） | ステップごとのノイズを±N標準偏差の範囲内に制限します。値0は制限を無効にします。（デフォルト：0.0） |
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | 設定済みのLCMサンプラーオブジェクト。サンプリングワークフローで使用する準備が整っています。 |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/ko.md b/comfyui_embedded_docs/docs/SamplerLCM/ko.md
new file mode 100644
index 000000000..b11673be3
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/ko.md
@@ -0,0 +1,20 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ko.md)
+
+SamplerLCM 노드는 단계별 노이즈 매개변수를 조정할 수 있는 LCM(잠재 일관성 모델) 샘플러를 제공합니다. 각 샘플링 단계에서 적용되는 노이즈를 제어하여 샘플링 과정을 세밀하게 조정할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | 예 | 0.0 ~ 64.0 (단위: 0.01) | 첫 번째 단계의 단계별 노이즈 승수입니다. 값이 1.0이면 모델의 훈련 노이즈 스케일과 일치합니다. (기본값: 1.0) |
+| `s_noise_end` | FLOAT | 예 | 0.0 ~ 64.0 (단위: 0.01) | 마지막 단계의 단계별 노이즈 승수입니다. 일정한 노이즈 일정을 위해 `s_noise`와 동일한 값으로 설정하십시오. (기본값: 1.0) |
+| `noise_clip_std` | FLOAT | 예 | 0.0 ~ 10.0 (단위: 0.01) | 단계별 노이즈를 +/- N 표준편차 범위 내로 제한합니다. 값이 0이면 제한이 비활성화됩니다. (기본값: 0.0) |
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | 구성된 LCM 샘플러 객체로, 샘플링 워크플로우에서 사용할 준비가 되었습니다. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/pt-BR.md b/comfyui_embedded_docs/docs/SamplerLCM/pt-BR.md
new file mode 100644
index 000000000..da2bf72ea
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/pt-BR.md
@@ -0,0 +1,20 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/pt-BR.md)
+
+O nó SamplerLCM fornece um amostrador LCM (Modelo de Consistência Latente) com parâmetros de ruído ajustáveis por etapa. Ele permite controlar o ruído aplicado em cada etapa de amostragem, possibilitando um ajuste fino do processo de amostragem.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `s_noise` | FLOAT | Sim | 0.0 a 64.0 (passo: 0.01) | Multiplicador de ruído por etapa na primeira etapa. Um valor de 1.0 corresponde à escala de ruído de treinamento do modelo. (padrão: 1.0) |
+| `s_noise_end` | FLOAT | Sim | 0.0 a 64.0 (passo: 0.01) | Multiplicador de ruído por etapa na última etapa. Defina como igual a `s_noise` para uma programação de ruído constante. (padrão: 1.0) |
+| `noise_clip_std` | FLOAT | Sim | 0.0 a 10.0 (passo: 0.01) | Limita o ruído por etapa a dentro de +/- N desvios padrão. Um valor de 0 desativa a limitação. (padrão: 0.0) |
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `SAMPLER` | SAMPLER | O objeto amostrador LCM configurado, pronto para ser usado em um fluxo de trabalho de amostragem. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/ru.md b/comfyui_embedded_docs/docs/SamplerLCM/ru.md
new file mode 100644
index 000000000..c7664f3ad
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/ru.md
@@ -0,0 +1,22 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ru.md)
+
+Вот перевод документации на русский язык:
+
+Узел SamplerLCM предоставляет семплер LCM (Latent Consistency Model) с настраиваемыми параметрами шума на каждом шаге. Он позволяет контролировать шум, применяемый на каждом этапе сэмплирования, обеспечивая тонкую настройку процесса сэмплирования.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | Да | 0.0 до 64.0 (шаг: 0.01) | Множитель шума на первом шаге. Значение 1.0 соответствует масштабу шума, используемому при обучении модели. (по умолчанию: 1.0) |
+| `s_noise_end` | FLOAT | Да | 0.0 до 64.0 (шаг: 0.01) | Множитель шума на последнем шаге. Установите равным `s_noise` для постоянного графика шума. (по умолчанию: 1.0) |
+| `noise_clip_std` | FLOAT | Да | 0.0 до 10.0 (шаг: 0.01) | Ограничивает шум на каждом шаге в пределах +/- N стандартных отклонений. Значение 0 отключает ограничение. (по умолчанию: 0.0) |
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | Настроенный объект семплера LCM, готовый к использованию в рабочем процессе сэмплирования. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/tr.md b/comfyui_embedded_docs/docs/SamplerLCM/tr.md
new file mode 100644
index 000000000..fa4bc62d0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/tr.md
@@ -0,0 +1,20 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/tr.md)
+
+SamplerLCM düğümü, her adımda ayarlanabilir gürültü parametrelerine sahip bir LCM (Gizli Tutarlılık Modeli) örnekleyicisi sağlar. Bu düğüm, her örnekleme adımında uygulanan gürültüyü kontrol etmenize olanak tanıyarak örnekleme sürecinin ince ayarlı bir şekilde düzenlenmesini sağlar.
+
+## Girişler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|--------|----------|
+| `s_noise` | FLOAT | Evet | 0,0 ile 64,0 (adım: 0,01) | İlk adımdaki adım başına gürültü çarpanı. 1,0 değeri modelin eğitim gürültü ölçeğiyle eşleşir. (varsayılan: 1,0) |
+| `s_noise_end` | FLOAT | Evet | 0,0 ile 64,0 (adım: 0,01) | Son adımdaki adım başına gürültü çarpanı. Sabit bir gürültü programı için `s_noise` ile aynı değere ayarlayın. (varsayılan: 1,0) |
+| `noise_clip_std` | FLOAT | Evet | 0,0 ile 10,0 (adım: 0,01) | Adım başına gürültüyü +/- N standart sapma aralığına sıkıştırır. 0 değeri sıkıştırmayı devre dışı bırakır. (varsayılan: 0,0) |
+
+## Çıkışlar
+
+| Çıkış Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `SAMPLER` | SAMPLER | Yapılandırılmış LCM örnekleyici nesnesi, bir örnekleme iş akışında kullanılmaya hazırdır. |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/zh-TW.md b/comfyui_embedded_docs/docs/SamplerLCM/zh-TW.md
new file mode 100644
index 000000000..24876d438
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/zh-TW.md
@@ -0,0 +1,22 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/zh-TW.md)
+
+## 概述
+
+SamplerLCM 節點提供了一個具有可調每步雜訊參數的 LCM（潛在一致性模型）取樣器。它讓您能夠控制每個取樣步驟中應用的雜訊，從而實現對取樣過程的精細調整。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | 是 | 0.0 至 64.0 (步長: 0.01) | 第一步的每步雜訊乘數。值為 1.0 時與模型的訓練雜訊規模一致。(預設值: 1.0) |
+| `s_noise_end` | FLOAT | 是 | 0.0 至 64.0 (步長: 0.01) | 最後一步的每步雜訊乘數。設定為與 `s_noise` 相同可獲得恆定的雜訊排程。(預設值: 1.0) |
+| `noise_clip_std` | FLOAT | 是 | 0.0 至 10.0 (步長: 0.01) | 將每步雜訊限制在 +/- N 個標準差範圍內。值為 0 時停用限制。(預設值: 0.0) |
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | 配置完成的 LCM 取樣器物件，可直接用於取樣工作流程中。 |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCM/zh.md b/comfyui_embedded_docs/docs/SamplerLCM/zh.md
new file mode 100644
index 000000000..5c4b06550
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SamplerLCM/zh.md
@@ -0,0 +1,20 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/zh.md)
+
+SamplerLCM 节点提供了一个带有可调每步噪声参数的 LCM（潜在一致性模型）采样器。它允许您控制每个采样步骤中应用的噪声，从而实现对采样过程的精细调整。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `s_noise` | FLOAT | 是 | 0.0 到 64.0（步长：0.01） | 第一步的每步噪声乘数。值为 1.0 时与模型的训练噪声尺度匹配。（默认值：1.0） |
+| `s_noise_end` | FLOAT | 是 | 0.0 到 64.0（步长：0.01） | 最后一步的每步噪声乘数。设置为与 `s_noise` 相同可得到恒定噪声调度。（默认值：1.0） |
+| `noise_clip_std` | FLOAT | 是 | 0.0 到 10.0（步长：0.01） | 将每步噪声限制在 +/- N 个标准差范围内。值为 0 时禁用限制。（默认值：0.0） |
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `SAMPLER` | SAMPLER | 配置好的 LCM 采样器对象，可直接用于采样工作流程。 |
+
+---
+**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98`
diff --git a/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md b/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md
index dc9befcdf..e632aa735 100644
--- a/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md
+++ b/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md
@@ -17,4 +17,4 @@ The SamplerLCMUpscale node provides a specialized sampling method that combines
| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline |
---
-**Source fingerprint (SHA-256):** `fe0d4c8676454a9e8ecf4bb4e149c9b5e22083322447749116d624984d75e73c`
+**Source fingerprint (SHA-256):** `11cd4de455d8345f0008757e7402b6cba1c21cf6eeebdd41f4500e615d826920`
diff --git a/comfyui_embedded_docs/docs/SamplerLMS/en.md b/comfyui_embedded_docs/docs/SamplerLMS/en.md
index 35422e8fe..7dd1fad88 100644
--- a/comfyui_embedded_docs/docs/SamplerLMS/en.md
+++ b/comfyui_embedded_docs/docs/SamplerLMS/en.md
@@ -15,4 +15,4 @@ The SamplerLMS node creates a Least Mean Squares (LMS) sampler for use in diffus
| `sampler` | SAMPLER | A configured LMS sampler object that can be used in the sampling pipeline |
---
-**Source fingerprint (SHA-256):** `0c045ef15890fe611dc0b9d455bafa313d28373a29c881a0c8bf5d80e69bc114`
+**Source fingerprint (SHA-256):** `fc1f7965a2f1dc78d9ce1181fa0a1f584c2e6b5c3404c4d5463a765498e20536`
diff --git a/comfyui_embedded_docs/docs/SamplerSASolver/en.md b/comfyui_embedded_docs/docs/SamplerSASolver/en.md
index 61f0ecaa6..d61f6072e 100644
--- a/comfyui_embedded_docs/docs/SamplerSASolver/en.md
+++ b/comfyui_embedded_docs/docs/SamplerSASolver/en.md
@@ -23,4 +23,4 @@ The SamplerSASolver node implements a custom sampling algorithm for diffusion mo
| `sampler` | SAMPLER | A configured sampler object that can be used with diffusion models |
---
-**Source fingerprint (SHA-256):** `3de8834281c09d0bd1435e29f0c9ae540a2ea42db142277d07cb655ccf814873`
+**Source fingerprint (SHA-256):** `f1491a63377d4d8a5c44cb7109afba09678ef9c048786f9086a5437aacb17753`
diff --git a/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md b/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md
index bb57ac01d..fb7f737e2 100644
--- a/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md
+++ b/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md
@@ -18,4 +18,4 @@ This node provides a configurable sampler for generating images. It implements t
| `sampler` | SAMPLER | A configured sampler object that can be passed to other sampling nodes. |
---
-**Source fingerprint (SHA-256):** `13cfc064dab8b77dbdfdc27238130bdf3dc6c1eca47110f4a7f7d6b8c2866b90`
+**Source fingerprint (SHA-256):** `85cd8fe647b555e32e2aae9c2300ff9d3e01fcfd8bcdff687b0dc2aa0d06b47d`
diff --git a/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md b/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md
index 428eed662..aae1e0bb5 100644
--- a/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md
+++ b/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md
@@ -7,7 +7,7 @@ The SamplingPercentToSigma node converts a sampling percentage value to a corres
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `model` | MODEL | Yes | - | The model containing the sampling parameters used for conversion |
-| `sampling_percent` | FLOAT | Yes | 0.0 to 1.0 | The sampling percentage to convert to sigma (default: 0.0) |
+| `sampling_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.0001) | The sampling percentage to convert to sigma (default: 0.0) |
| `return_actual_sigma` | BOOLEAN | Yes | - | Return the actual sigma value instead of the value used for interval checks. This only affects results at 0.0 and 1.0. (default: False) |
## Outputs
@@ -17,4 +17,4 @@ The SamplingPercentToSigma node converts a sampling percentage value to a corres
| `sigma_value` | FLOAT | The converted sigma value corresponding to the input sampling percentage |
---
-**Source fingerprint (SHA-256):** `88ecea0528dfeff75248a8dfee8381e1f73d1a2d9ee3e7f8e37fef0f2b2499ec`
+**Source fingerprint (SHA-256):** `4aa5c1efdb5c9bf8c6b2c38db58845a71a0159d6b2ff7a71449934acb05eae1a`
diff --git a/comfyui_embedded_docs/docs/SaveAudio/en.md b/comfyui_embedded_docs/docs/SaveAudio/en.md
index 16576ace7..72ae27849 100644
--- a/comfyui_embedded_docs/docs/SaveAudio/en.md
+++ b/comfyui_embedded_docs/docs/SaveAudio/en.md
@@ -18,4 +18,4 @@ The SaveAudio node saves audio data to a file in FLAC format. It takes audio inp
| *None* | - | This node does not return any output data but saves the audio file to the output directory |
---
-**Source fingerprint (SHA-256):** `16242dfc45d0f2808a5615e9c1bfe4de4d19e2f5f6b28370f631439021dc72e5`
+**Source fingerprint (SHA-256):** `fddb5b1b2e103efa18cd367969193b25753a08e9a56420c39df4645894006ac2`
diff --git a/comfyui_embedded_docs/docs/SaveAudioMP3/en.md b/comfyui_embedded_docs/docs/SaveAudioMP3/en.md
index 8939d1992..f18a80650 100644
--- a/comfyui_embedded_docs/docs/SaveAudioMP3/en.md
+++ b/comfyui_embedded_docs/docs/SaveAudioMP3/en.md
@@ -19,4 +19,4 @@ The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and
| *None* | - | This node does not return any output data, but saves the audio file to the output directory |
---
-**Source fingerprint (SHA-256):** `70b960cc9c86ad9a4c98e643f40e6caaafdeb9840ac72a5f8e59533fd6120e3e`
+**Source fingerprint (SHA-256):** `b238008410f7e8d65b07d79f12cad2cf2ead1fd105bc881a3bef87ab4e71f484`
diff --git a/comfyui_embedded_docs/docs/SaveAudioOpus/en.md b/comfyui_embedded_docs/docs/SaveAudioOpus/en.md
index a7b328e9f..a620f9102 100644
--- a/comfyui_embedded_docs/docs/SaveAudioOpus/en.md
+++ b/comfyui_embedded_docs/docs/SaveAudioOpus/en.md
@@ -17,4 +17,4 @@ The SaveAudioOpus node saves audio data to an Opus format file. It takes audio i
| - | - | This node does not return any output values. It saves the audio file to disk as its primary function. |
---
-**Source fingerprint (SHA-256):** `87c3b1b85ca51b79d43c8486eeb2de7b074faa11c4da2bff7b8931a3049560e2`
+**Source fingerprint (SHA-256):** `d793d9ef7da6bd3f9257ad16ab9dc5b31a16354a2dff1449afcb6980b9e1dc63`
diff --git a/comfyui_embedded_docs/docs/SaveGLB/en.md b/comfyui_embedded_docs/docs/SaveGLB/en.md
index ed398c86b..d144660c5 100644
--- a/comfyui_embedded_docs/docs/SaveGLB/en.md
+++ b/comfyui_embedded_docs/docs/SaveGLB/en.md
@@ -16,4 +16,4 @@ The SaveGLB node saves 3D mesh data or 3D files to the output directory. It acce
| `ui` | UI | Displays the saved 3D files in the user interface with filename, subfolder, and type information |
---
-**Source fingerprint (SHA-256):** `bd36600185aeb793cd4e9f37f3b4464267cb36f451fdcf71aff83077bb8c3f53`
+**Source fingerprint (SHA-256):** `ed56f61f60afea7dfbcae8b222aa7129608e3b10bc0daa27934b8c0cbeb1c0e8`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/ar.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/ar.md
new file mode 100644
index 000000000..7fd3d6f6a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/ar.md
@@ -0,0 +1,33 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ar.md)
+
+# SaveImageAdvanced
+
+تقوم عقدة **SaveImageAdvanced** بحفظ الصور في دليل الإخراج الخاص بـ ComfyUI مع تحكم متقدم في تنسيق الملف، وعمق البت، وفضاء الألوان. وهي تدعم الحفظ بتنسيق PNG أو EXR ويمكنها تضمين بيانات سير العمل الوصفية في الملفات المحفوظة.
+
+## المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | نعم | - | الصور المراد حفظها. |
+| `filename_prefix` | STRING | نعم | - | البادئة لاسم الملف المراد حفظه. قد تتضمن رموز تنسيق مثل `%date:yyyy-MM-dd%` أو `%Empty Latent Image.width%`. (الافتراضي: "ComfyUI") |
+| `format` | COMBO | نعم | `"png"` `"exr"` | تنسيق الملف الذي سيتم حفظ الصورة به. يؤدي اختيار تنسيق إلى إظهار خيارات إضافية لذلك التنسيق. |
+| `bit_depth` | COMBO | نعم (مشروط) | لـ PNG: `"8-bit"` `"16-bit"` لـ EXR: `"32-bit float"` | عمق البت للتنسيق المحدد. يظهر هذا المعامل عند اختيار تنسيق. (الافتراضي: "8-bit" لـ PNG، "32-bit float" لـ EXR) |
+| `input_color_space` | COMBO | نعم (مشروط) | لـ PNG: `"sRGB"` لـ EXR: `"sRGB"` `"HDR"` `"linear"` | فضاء الألوان للموتر المدخل. بالنسبة لـ PNG، يتوفر sRGB فقط. بالنسبة لـ EXR، تُكتب الصورة دائمًا كخطية مشهدية ضمن النطاق اللوني المطابق. (الافتراضي: "sRGB") |
+
+**ملاحظات حول تبعيات المعاملات:**
+- يتوفر المعاملان `bit_depth` و`input_color_space` فقط عند اختيار `format` محدد.
+- بالنسبة لتنسيق PNG، يتوفر عمقا بت "8-bit" و"16-bit" فقط، وفضاء ألوان "sRGB" فقط.
+- بالنسبة لتنسيق EXR، يتوفر عمق بت "32-bit float" فقط، مع فضاءات ألوان "sRGB" أو "HDR" أو "linear".
+- يحدد المعامل `input_color_space` لتنسيق EXR كيفية تفسير الموتر المدخل:
+ - `"sRGB"` — المدخل هو sRGB-encoded Rec.709؛ يتم تطبيق دالة التحويل الكهروضوئي العكسية لـ sRGB.
+ - `"HDR"` — المدخل هو HLG-encoded Rec.2020 (BT.2100)؛ يتم تطبيق دالة التحويل الكهروضوئي العكسية لـ HLG للحصول على ضوء خطي مشهدي.
+ - `"linear"` — المدخل خطي مشهدي بالفعل (ألوان أساسية Rec.709)؛ يُكتب كما هو دون تغيير. استخدم هذا الخيار لمخرجات العارض/المركب.
+
+## المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `images` | IMAGE | قائمة بنتائج الصور المحفوظة، تحتوي كل منها على اسم الملف والمجلد الفرعي والنوع ("output"). يُستخدم هذا المخرج لأغراض عرض واجهة المستخدم. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md
new file mode 100644
index 000000000..49079549e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md
@@ -0,0 +1,33 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md)
+
+# SaveImageAdvanced
+
+The **SaveImageAdvanced** node saves images to your ComfyUI output directory with advanced control over file format, bit depth, and color space. It supports saving as PNG or EXR files and can embed workflow metadata into the saved files.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Yes | - | The images to save. |
+| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. May include formatting tokens such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%`. (default: "ComfyUI") |
+| `format` | COMBO | Yes | `"png"` `"exr"` | The file format in which to save the image. Selecting a format reveals additional options for that format. |
+| `bit_depth` | COMBO | Yes (conditional) | For PNG: `"8-bit"` `"16-bit"` For EXR: `"32-bit float"` | The bit depth for the selected format. This parameter appears when a format is chosen. (default: "8-bit" for PNG, "32-bit float" for EXR) |
+| `input_color_space` | COMBO | Yes (conditional) | For PNG: `"sRGB"` For EXR: `"sRGB"` `"HDR"` `"linear"` | Colorspace of the input tensor. For PNG, only sRGB is available. For EXR, the image is always written as scene-linear in the matching gamut. (default: "sRGB") |
+
+**Notes on Parameter Dependencies:**
+- The `bit_depth` and `input_color_space` parameters are only available when a specific `format` is selected.
+- For PNG format, only "8-bit" and "16-bit" bit depths are available, and only "sRGB" color space.
+- For EXR format, only "32-bit float" bit depth is available, with "sRGB", "HDR", or "linear" color spaces.
+- The `input_color_space` parameter for EXR determines how the input tensor is interpreted:
+ - `"sRGB"` — input is sRGB-encoded Rec.709; the inverse sRGB EOTF is applied.
+ - `"HDR"` — input is HLG-encoded Rec.2020 (BT.2100); the inverse HLG OETF is applied to get scene-linear light.
+ - `"linear"` — input is already scene-linear (Rec.709 primaries); written through unchanged. Use this for renderer/compositor output.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `images` | IMAGE | A list of saved image results, each containing the filename, subfolder, and type ("output"). This output is used for UI display purposes. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/es.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/es.md
new file mode 100644
index 000000000..4f5d17750
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/es.md
@@ -0,0 +1,33 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/es.md)
+
+# SaveImageAdvanced
+
+El nodo **SaveImageAdvanced** guarda imágenes en tu directorio de salida de ComfyUI con control avanzado sobre el formato de archivo, profundidad de bits y espacio de color. Admite guardar como archivos PNG o EXR y puede incrustar metadatos del flujo de trabajo en los archivos guardados.
+
+## Entradas
+
+| Parámetro | Tipo de Dato | Obligatorio | Rango | Descripción |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Sí | - | Las imágenes a guardar. |
+| `filename_prefix` | STRING | Sí | - | El prefijo para el archivo a guardar. Puede incluir tokens de formato como `%date:yyyy-MM-dd%` o `%Empty Latent Image.width%`. (predeterminado: "ComfyUI") |
+| `format` | COMBO | Sí | `"png"` `"exr"` | El formato de archivo en el que se guardará la imagen. Seleccionar un formato revela opciones adicionales para ese formato. |
+| `bit_depth` | COMBO | Sí (condicional) | Para PNG: `"8-bit"` `"16-bit"` Para EXR: `"32-bit float"` | La profundidad de bits para el formato seleccionado. Este parámetro aparece cuando se elige un formato. (predeterminado: "8-bit" para PNG, "32-bit float" para EXR) |
+| `input_color_space` | COMBO | Sí (condicional) | Para PNG: `"sRGB"` Para EXR: `"sRGB"` `"HDR"` `"linear"` | Espacio de color del tensor de entrada. Para PNG, solo está disponible sRGB. Para EXR, la imagen siempre se escribe como lineal de escena en la gama correspondiente. (predeterminado: "sRGB") |
+
+**Notas sobre dependencias de parámetros:**
+- Los parámetros `bit_depth` e `input_color_space` solo están disponibles cuando se selecciona un `format` específico.
+- Para el formato PNG, solo están disponibles las profundidades de bits "8-bit" y "16-bit", y únicamente el espacio de color "sRGB".
+- Para el formato EXR, solo está disponible la profundidad de bits "32-bit float", con espacios de color "sRGB", "HDR" o "linear".
+- El parámetro `input_color_space` para EXR determina cómo se interpreta el tensor de entrada:
+ - `"sRGB"` — la entrada es Rec.709 codificada en sRGB; se aplica la EOTF inversa de sRGB.
+ - `"HDR"` — la entrada es Rec.2020 (BT.2100) codificada en HLG; se aplica la OETF inversa de HLG para obtener luz lineal de escena.
+ - `"linear"` — la entrada ya es lineal de escena (primarios Rec.709); se escribe sin cambios. Úsalo para salidas de renderizador/compositor.
+
+## Salidas
+
+| Nombre de Salida | Tipo de Dato | Descripción |
+|-------------|-----------|-------------|
+| `images` | IMAGE | Una lista de resultados de imágenes guardadas, cada una contiene el nombre de archivo, subcarpeta y tipo ("output"). Esta salida se utiliza para fines de visualización en la interfaz de usuario. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/fa.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/fa.md
new file mode 100644
index 000000000..aa7937058
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/fa.md
@@ -0,0 +1,33 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/fa.md)
+
+# SaveImageAdvanced
+
+گره **SaveImageAdvanced** تصاویر را با کنترل پیشرفته بر فرمت فایل، عمق بیت و فضای رنگی در دایرکتوری خروجی ComfyUI ذخیره میکند. این گره از ذخیرهسازی به صورت فایلهای PNG یا EXR پشتیبانی کرده و میتواند فرادادههای گردش کار را در فایلهای ذخیرهشده جاسازی کند.
+
+## ورودیها
+
+| پارامتر | نوع داده | الزامی | محدوده | توضیحات |
+|---------|----------|--------|--------|---------|
+| `images` | IMAGE | بله | - | تصاویری که باید ذخیره شوند. |
+| `filename_prefix` | STRING | بله | - | پیشوند نام فایل برای ذخیرهسازی. میتواند شامل توکنهای قالببندی مانند `%date:yyyy-MM-dd%` یا `%Empty Latent Image.width%` باشد. (پیشفرض: "ComfyUI") |
+| `format` | COMBO | بله | `"png"` `"exr"` | فرمت فایل برای ذخیره تصویر. انتخاب یک فرمت گزینههای اضافی مربوط به آن فرمت را نمایش میدهد. |
+| `bit_depth` | COMBO | بله (مشروط) | برای PNG: `"8-bit"` `"16-bit"` برای EXR: `"32-bit float"` | عمق بیت برای فرمت انتخابشده. این پارامتر پس از انتخاب فرمت ظاهر میشود. (پیشفرض: "8-bit" برای PNG، "32-bit float" برای EXR) |
+| `input_color_space` | COMBO | بله (مشروط) | برای PNG: `"sRGB"` برای EXR: `"sRGB"` `"HDR"` `"linear"` | فضای رنگی تنسور ورودی. برای PNG فقط sRGB در دسترس است. برای EXR، تصویر همواره به صورت صحنه-خطی در طیف رنگی منطبق نوشته میشود. (پیشفرض: "sRGB") |
+
+**نکات مربوط به وابستگی پارامترها:**
+- پارامترهای `bit_depth` و `input_color_space` تنها زمانی در دسترس هستند که یک `format` خاص انتخاب شده باشد.
+- برای فرمت PNG، تنها عمق بیتهای "8-bit" و "16-bit" و فضای رنگی "sRGB" در دسترس است.
+- برای فرمت EXR، تنها عمق بیت "32-bit float" با فضاهای رنگی "sRGB"، "HDR" یا "linear" در دسترس است.
+- پارامتر `input_color_space` برای EXR نحوه تفسیر تنسور ورودی را تعیین میکند:
+ - `"sRGB"` — ورودی با کدگذاری sRGB Rec.709 است؛ EOTF معکوس sRGB اعمال میشود.
+ - `"HDR"` — ورودی با کدگذاری HLG Rec.2020 (BT.2100) است؛ OETF معکوس HLG برای دریافت نور صحنه-خطی اعمال میشود.
+ - `"linear"` — ورودی از قبل صحنه-خطی (با رنگهای اصلی Rec.709) است؛ بدون تغییر نوشته میشود. این گزینه را برای خروجی رندرر/کامپوزیتور استفاده کنید.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|---------|
+| `images` | IMAGE | فهرستی از نتایج تصاویر ذخیرهشده که هر کدام شامل نام فایل، زیرپوشه و نوع ("output") است. این خروجی برای اهداف نمایش در رابط کاربری استفاده میشود. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/fr.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/fr.md
new file mode 100644
index 000000000..a5f2fd472
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/fr.md
@@ -0,0 +1,33 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/fr.md)
+
+# SaveImageAdvanced
+
+Le nœud **SaveImageAdvanced** enregistre des images dans votre répertoire de sortie ComfyUI avec un contrôle avancé sur le format de fichier, la profondeur de bits et l'espace colorimétrique. Il prend en charge l'enregistrement au format PNG ou EXR et peut intégrer les métadonnées du workflow dans les fichiers sauvegardés.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `images` | IMAGE | Oui | - | Les images à enregistrer. |
+| `filename_prefix` | STRING | Oui | - | Le préfixe pour le fichier à enregistrer. Peut inclure des jetons de formatage tels que `%date:yyyy-MM-dd%` ou `%Empty Latent Image.width%`. (par défaut : "ComfyUI") |
+| `format` | COMBO | Oui | `"png"` `"exr"` | Le format de fichier dans lequel enregistrer l'image. La sélection d'un format révèle des options supplémentaires pour ce format. |
+| `bit_depth` | COMBO | Oui (conditionnel) | Pour PNG : `"8-bit"` `"16-bit"` Pour EXR : `"32-bit float"` | La profondeur de bits pour le format sélectionné. Ce paramètre apparaît lorsqu'un format est choisi. (par défaut : "8-bit" pour PNG, "32-bit float" pour EXR) |
+| `input_color_space` | COMBO | Oui (conditionnel) | Pour PNG : `"sRGB"` Pour EXR : `"sRGB"` `"HDR"` `"linear"` | Espace colorimétrique du tenseur d'entrée. Pour PNG, seul sRGB est disponible. Pour EXR, l'image est toujours écrite en lumière scène-linéaire dans le gamut correspondant. (par défaut : "sRGB") |
+
+**Remarques sur les dépendances des paramètres :**
+- Les paramètres `bit_depth` et `input_color_space` ne sont disponibles que lorsqu'un `format` spécifique est sélectionné.
+- Pour le format PNG, seules les profondeurs de bits "8-bit" et "16-bit" sont disponibles, et uniquement l'espace colorimétrique "sRGB".
+- Pour le format EXR, seule la profondeur de bits "32-bit float" est disponible, avec les espaces colorimétriques "sRGB", "HDR" ou "linear".
+- Le paramètre `input_color_space` pour EXR détermine comment le tenseur d'entrée est interprété :
+ - `"sRGB"` — l'entrée est en Rec.709 encodé sRGB ; l'EOTF sRGB inverse est appliquée.
+ - `"HDR"` — l'entrée est en Rec.2020 (BT.2100) encodé HLG ; l'OETF HLG inverse est appliquée pour obtenir une lumière scène-linéaire.
+ - `"linear"` — l'entrée est déjà scène-linéaire (primaires Rec.709) ; écrite sans modification. Utilisez cette option pour les sorties de rendu/composition.
+
+## Sorties
+
+| Nom de sortie | Type de données | Description |
+|---------------|-----------------|-------------|
+| `images` | IMAGE | Une liste des résultats d'images enregistrées, contenant chacun le nom du fichier, le sous-dossier et le type ("output"). Cette sortie est utilisée à des fins d'affichage dans l'interface utilisateur. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md
new file mode 100644
index 000000000..569d53b45
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md
@@ -0,0 +1,33 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md)
+
+# SaveImageAdvanced
+
+**SaveImageAdvanced**ノードは、ファイル形式、ビット深度、色空間を高度に制御しながら、画像をComfyUIの出力ディレクトリに保存します。PNGまたはEXRファイルとしての保存に対応しており、ワークフローのメタデータを保存ファイルに埋め込むことができます。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | はい | - | 保存する画像です。 |
+| `filename_prefix` | STRING | はい | - | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマットトークンを含めることができます。（デフォルト："ComfyUI"） |
+| `format` | COMBO | はい | `"png"` `"exr"` | 画像を保存するファイル形式です。形式を選択すると、その形式の追加オプションが表示されます。 |
+| `bit_depth` | COMBO | はい（条件付き） | PNGの場合：`"8-bit"` `"16-bit"` EXRの場合：`"32-bit float"` | 選択した形式のビット深度です。このパラメータは形式が選択されたときに表示されます。（デフォルト：PNGは"8-bit"、EXRは"32-bit float"） |
+| `input_color_space` | COMBO | はい（条件付き） | PNGの場合：`"sRGB"` EXRの場合：`"sRGB"` `"HDR"` `"linear"` | 入力テンソルの色空間です。PNGの場合はsRGBのみ使用可能です。EXRの場合は、画像は常にシーンリニアとして、対応する色域で書き込まれます。（デフォルト："sRGB"） |
+
+**パラメータの依存関係に関する注意事項：**
+- `bit_depth` と `input_color_space` のパラメータは、特定の `format` が選択された場合にのみ使用可能です。
+- PNG形式の場合は、"8-bit" と "16-bit" のビット深度のみ使用可能で、色空間は "sRGB" のみです。
+- EXR形式の場合は、"32-bit float" のビット深度のみ使用可能で、色空間は "sRGB"、"HDR"、または "linear" から選択できます。
+- EXRの `input_color_space` パラメータは、入力テンソルの解釈方法を決定します：
+ - `"sRGB"` — 入力はsRGBエンコードされたRec.709です。逆sRGB EOTFが適用されます。
+ - `"HDR"` — 入力はHLGエンコードされたRec.2020（BT.2100）です。逆HLG OETFが適用され、シーンリニア光に変換されます。
+ - `"linear"` — 入力は既にシーンリニア（Rec.709原色）です。そのまま書き込まれます。レンダラーやコンポジターの出力に使用します。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `images` | IMAGE | 保存された画像結果のリストです。各結果にはファイル名、サブフォルダ、タイプ（"output"）が含まれます。この出力はUI表示用に使用されます。 |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/ko.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/ko.md
new file mode 100644
index 000000000..cd3e54cfc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/ko.md
@@ -0,0 +1,33 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ko.md)
+
+# SaveImageAdvanced
+
+**SaveImageAdvanced** 노드는 파일 형식, 비트 심도 및 색상 공간에 대한 고급 제어 기능을 제공하며 이미지를 ComfyUI 출력 디렉토리에 저장합니다. PNG 또는 EXR 파일로 저장하는 것을 지원하며, 저장된 파일에 워크플로우 메타데이터를 포함할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | 예 | - | 저장할 이미지입니다. |
+| `filename_prefix` | STRING | 예 | - | 저장할 파일의 접두사입니다. `%date:yyyy-MM-dd%` 또는 `%Empty Latent Image.width%`와 같은 형식 토큰을 포함할 수 있습니다. (기본값: "ComfyUI") |
+| `format` | COMBO | 예 | `"png"` `"exr"` | 이미지를 저장할 파일 형식입니다. 형식을 선택하면 해당 형식에 대한 추가 옵션이 표시됩니다. |
+| `bit_depth` | COMBO | 예 (조건부) | PNG: `"8-bit"` `"16-bit"` EXR: `"32-bit float"` | 선택한 형식의 비트 심도입니다. 이 매개변수는 형식이 선택되면 나타납니다. (기본값: PNG는 "8-bit", EXR은 "32-bit float") |
+| `input_color_space` | COMBO | 예 (조건부) | PNG: `"sRGB"` EXR: `"sRGB"` `"HDR"` `"linear"` | 입력 텐서의 색상 공간입니다. PNG의 경우 sRGB만 사용 가능합니다. EXR의 경우 이미지는 항상 일치하는 색역의 장면-선형(scene-linear)으로 기록됩니다. (기본값: "sRGB") |
+
+**매개변수 종속성 참고 사항:**
+- `bit_depth` 및 `input_color_space` 매개변수는 특정 `format`이 선택된 경우에만 사용할 수 있습니다.
+- PNG 형식의 경우 "8-bit" 및 "16-bit" 비트 심도만 사용 가능하며, "sRGB" 색상 공간만 사용할 수 있습니다.
+- EXR 형식의 경우 "32-bit float" 비트 심도만 사용 가능하며, "sRGB", "HDR" 또는 "linear" 색상 공간을 사용할 수 있습니다.
+- EXR의 `input_color_space` 매개변수는 입력 텐서가 어떻게 해석되는지 결정합니다:
+ - `"sRGB"` — 입력이 sRGB로 인코딩된 Rec.709입니다. 역 sRGB EOTF가 적용됩니다.
+ - `"HDR"` — 입력이 HLG로 인코딩된 Rec.2020(BT.2100)입니다. 역 HLG OETF가 적용되어 장면-선형 광도를 얻습니다.
+ - `"linear"` — 입력이 이미 장면-선형(Rec.709 기본색)입니다. 변경 없이 그대로 기록됩니다. 렌더러/합성기 출력에 사용하십시오.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `images` | IMAGE | 저장된 이미지 결과 목록으로, 각 결과는 파일 이름, 하위 폴더 및 유형("output")을 포함합니다. 이 출력은 UI 표시 목적으로 사용됩니다. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/pt-BR.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/pt-BR.md
new file mode 100644
index 000000000..fa626a6e2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/pt-BR.md
@@ -0,0 +1,33 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/pt-BR.md)
+
+# SaveImageAdvanced
+
+O nó **SaveImageAdvanced** salva imagens no diretório de saída do ComfyUI com controle avançado sobre formato de arquivo, profundidade de bits e espaço de cores. Ele suporta salvar como arquivos PNG ou EXR e pode incorporar metadados do fluxo de trabalho nos arquivos salvos.
+
+## Entradas
+
+| Parâmetro | Tipo de Dados | Obrigatório | Faixa | Descrição |
+|-----------|---------------|-------------|-------|-----------|
+| `images` | IMAGE | Sim | - | As imagens a serem salvas. |
+| `filename_prefix` | STRING | Sim | - | O prefixo para o arquivo a ser salvo. Pode incluir tokens de formatação como `%date:yyyy-MM-dd%` ou `%Empty Latent Image.width%`. (padrão: "ComfyUI") |
+| `format` | COMBO | Sim | `"png"` `"exr"` | O formato de arquivo no qual salvar a imagem. Selecionar um formato revela opções adicionais para aquele formato. |
+| `bit_depth` | COMBO | Sim (condicional) | Para PNG: `"8-bit"` `"16-bit"` Para EXR: `"32-bit float"` | A profundidade de bits para o formato selecionado. Este parâmetro aparece quando um formato é escolhido. (padrão: "8-bit" para PNG, "32-bit float" para EXR) |
+| `input_color_space` | COMBO | Sim (condicional) | Para PNG: `"sRGB"` Para EXR: `"sRGB"` `"HDR"` `"linear"` | Espaço de cores do tensor de entrada. Para PNG, apenas sRGB está disponível. Para EXR, a imagem é sempre gravada como cena-linear no gamute correspondente. (padrão: "sRGB") |
+
+**Observações sobre Dependências de Parâmetros:**
+- Os parâmetros `bit_depth` e `input_color_space` estão disponíveis apenas quando um `format` específico é selecionado.
+- Para o formato PNG, apenas profundidades de bits "8-bit" e "16-bit" estão disponíveis, e apenas o espaço de cores "sRGB".
+- Para o formato EXR, apenas a profundidade de bits "32-bit float" está disponível, com espaços de cores "sRGB", "HDR" ou "linear".
+- O parâmetro `input_color_space` para EXR determina como o tensor de entrada é interpretado:
+ - `"sRGB"` — a entrada é sRGB codificada em Rec.709; a EOTF sRGB inversa é aplicada.
+ - `"HDR"` — a entrada é HLG codificada em Rec.2020 (BT.2100); a OETF HLG inversa é aplicada para obter luz cena-linear.
+ - `"linear"` — a entrada já é cena-linear (primárias Rec.709); gravada sem alterações. Use esta opção para saída de renderizadores/compositores.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dados | Descrição |
+|---------------|---------------|-----------|
+| `images` | IMAGE | Uma lista de resultados de imagens salvas, cada um contendo o nome do arquivo, subpasta e tipo ("output"). Esta saída é usada para fins de exibição na interface do usuário. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/ru.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/ru.md
new file mode 100644
index 000000000..0e7f6d725
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/ru.md
@@ -0,0 +1,33 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ru.md)
+
+# SaveImageAdvanced
+
+Узел **SaveImageAdvanced** сохраняет изображения в выходной каталог ComfyUI с расширенным управлением форматом файла, глубиной цвета и цветовым пространством. Поддерживает сохранение в форматах PNG или EXR и может встраивать метаданные рабочего процесса в сохраняемые файлы.
+
+## Входные параметры
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Да | - | Изображения для сохранения. |
+| `filename_prefix` | STRING | Да | - | Префикс для сохраняемого файла. Может включать токены форматирования, такие как `%date:yyyy-MM-dd%` или `%Empty Latent Image.width%`. (по умолчанию: "ComfyUI") |
+| `format` | COMBO | Да | `"png"` `"exr"` | Формат файла для сохранения изображения. Выбор формата открывает дополнительные параметры для этого формата. |
+| `bit_depth` | COMBO | Да (условно) | Для PNG: `"8-bit"` `"16-bit"` Для EXR: `"32-bit float"` | Глубина цвета для выбранного формата. Этот параметр появляется при выборе формата. (по умолчанию: "8-bit" для PNG, "32-bit float" для EXR) |
+| `input_color_space` | COMBO | Да (условно) | Для PNG: `"sRGB"` Для EXR: `"sRGB"` `"HDR"` `"linear"` | Цветовое пространство входного тензора. Для PNG доступно только sRGB. Для EXR изображение всегда записывается как сцено-линейное в соответствующем цветовом охвате. (по умолчанию: "sRGB") |
+
+**Примечания о зависимостях параметров:**
+- Параметры `bit_depth` и `input_color_space` доступны только при выборе конкретного `format`.
+- Для формата PNG доступны только глубины цвета "8-bit" и "16-bit", и только цветовое пространство "sRGB".
+- Для формата EXR доступна только глубина цвета "32-bit float" с цветовыми пространствами "sRGB", "HDR" или "linear".
+- Параметр `input_color_space` для EXR определяет, как интерпретируется входной тензор:
+ - `"sRGB"` — входные данные закодированы в sRGB Rec.709; применяется обратная sRGB EOTF.
+ - `"HDR"` — входные данные закодированы в HLG Rec.2020 (BT.2100); применяется обратная HLG OETF для получения сцено-линейного света.
+ - `"linear"` — входные данные уже являются сцено-линейными (основные цвета Rec.709); передаются без изменений. Используйте это для вывода рендерера/композитора.
+
+## Выходные параметры
+
+| Имя выхода | Тип данных | Описание |
+|-------------|-----------|-------------|
+| `images` | IMAGE | Список результатов сохраненных изображений, каждый из которых содержит имя файла, подпапку и тип ("output"). Этот выход используется для отображения в пользовательском интерфейсе. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/tr.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/tr.md
new file mode 100644
index 000000000..06f06af06
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/tr.md
@@ -0,0 +1,33 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/tr.md)
+
+# SaveImageAdvanced
+
+**SaveImageAdvanced** düğümü, görüntüleri dosya biçimi, bit derinliği ve renk uzayı üzerinde gelişmiş kontrole sahip olarak ComfyUI çıktı dizininize kaydeder. PNG veya EXR dosyaları olarak kaydetmeyi destekler ve kaydedilen dosyalara iş akışı meta verileri ekleyebilir.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | Evet | - | Kaydedilecek görüntüler. |
+| `filename_prefix` | STRING | Evet | - | Kaydedilecek dosyanın ön eki. `%date:yyyy-MM-dd%` veya `%Empty Latent Image.width%` gibi biçimlendirme belirteçleri içerebilir. (varsayılan: "ComfyUI") |
+| `format` | COMBO | Evet | `"png"` `"exr"` | Görüntünün kaydedileceği dosya biçimi. Bir biçim seçmek, o biçim için ek seçenekleri görüntüler. |
+| `bit_depth` | COMBO | Evet (koşullu) | PNG için: `"8-bit"` `"16-bit"` EXR için: `"32-bit float"` | Seçilen biçim için bit derinliği. Bu parametre, bir biçim seçildiğinde görünür. (varsayılan: PNG için "8-bit", EXR için "32-bit float") |
+| `input_color_space` | COMBO | Evet (koşullu) | PNG için: `"sRGB"` EXR için: `"sRGB"` `"HDR"` `"linear"` | Girdi tensörünün renk uzayı. PNG için yalnızca sRGB kullanılabilir. EXR için görüntü her zaman eşleşen gamutta sahne-doğrusal olarak yazılır. (varsayılan: "sRGB") |
+
+**Parametre Bağımlılıkları Hakkında Notlar:**
+- `bit_depth` ve `input_color_space` parametreleri yalnızca belirli bir `format` seçildiğinde kullanılabilir.
+- PNG biçimi için yalnızca "8-bit" ve "16-bit" bit derinlikleri ve yalnızca "sRGB" renk uzayı kullanılabilir.
+- EXR biçimi için yalnızca "32-bit float" bit derinliği, "sRGB", "HDR" veya "linear" renk uzayları ile kullanılabilir.
+- EXR için `input_color_space` parametresi, girdi tensörünün nasıl yorumlanacağını belirler:
+ - `"sRGB"` — girdi sRGB kodlu Rec.709'dur; ters sRGB EOTF uygulanır.
+ - `"HDR"` — girdi HLG kodlu Rec.2020'dir (BT.2100); sahne-doğrusal ışık elde etmek için ters HLG OETF uygulanır.
+ - `"linear"` — girdi zaten sahne-doğrusaldır (Rec.709 birincil renkler); değiştirilmeden yazılır. İşleyici/birleştirici çıktısı için kullanın.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|-------------|
+| `images` | IMAGE | Her biri dosya adı, alt klasör ve tür ("output") içeren kaydedilmiş görüntü sonuçlarının listesi. Bu çıktı, kullanıcı arayüzü görüntüleme amaçları için kullanılır. |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/zh-TW.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/zh-TW.md
new file mode 100644
index 000000000..90bbf97d5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/zh-TW.md
@@ -0,0 +1,33 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/zh-TW.md)
+
+# SaveImageAdvanced
+
+**SaveImageAdvanced** 節點可將影像儲存至您的 ComfyUI 輸出目錄，並提供對檔案格式、位元深度和色彩空間的進階控制。它支援儲存為 PNG 或 EXR 檔案，並可將工作流程中繼資料嵌入到儲存的檔案中。
+
+## ## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | 是 | - | 要儲存的影像。 |
+| `filename_prefix` | STRING | 是 | - | 要儲存檔案的檔名前綴。可包含格式化標記，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`。（預設值："ComfyUI"） |
+| `format` | COMBO | 是 | `"png"` `"exr"` | 儲存影像的檔案格式。選擇格式後會顯示該格式的額外選項。 |
+| `bit_depth` | COMBO | 是（條件式） | 對於 PNG：`"8-bit"` `"16-bit"` 對於 EXR：`"32-bit float"` | 所選格式的位元深度。此參數在選擇格式後出現。（預設值：PNG 為 "8-bit"，EXR 為 "32-bit float"） |
+| `input_color_space` | COMBO | 是（條件式） | 對於 PNG：`"sRGB"` 對於 EXR：`"sRGB"` `"HDR"` `"linear"` | 輸入張量的色彩空間。對於 PNG，僅提供 sRGB。對於 EXR，影像始終以場景線性方式寫入匹配的色域中。（預設值："sRGB"） |
+
+**參數依賴關係說明：**
+- `bit_depth` 和 `input_color_space` 參數僅在選擇了特定 `format` 時才可用。
+- 對於 PNG 格式，僅提供 "8-bit" 和 "16-bit" 位元深度，且僅支援 "sRGB" 色彩空間。
+- 對於 EXR 格式，僅提供 "32-bit float" 位元深度，並支援 "sRGB"、"HDR" 或 "linear" 色彩空間。
+- EXR 的 `input_color_space` 參數決定了輸入張量的解讀方式：
+ - `"sRGB"` — 輸入為 sRGB 編碼的 Rec.709；會套用反向 sRGB EOTF。
+ - `"HDR"` — 輸入為 HLG 編碼的 Rec.2020 (BT.2100)；會套用反向 HLG OETF 以取得場景線性光。
+ - `"linear"` — 輸入已為場景線性（Rec.709 原色）；直接寫入不做變更。適用於渲染器/合成器輸出。
+
+## ## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `images` | IMAGE | 已儲存影像結果的清單，每個結果包含檔名、子資料夾和類型（"output"）。此輸出用於 UI 顯示目的。 |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageAdvanced/zh.md b/comfyui_embedded_docs/docs/SaveImageAdvanced/zh.md
new file mode 100644
index 000000000..c3d7d9724
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SaveImageAdvanced/zh.md
@@ -0,0 +1,33 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/zh.md)
+
+# SaveImageAdvanced
+
+**SaveImageAdvanced** 节点可将图像保存到 ComfyUI 输出目录，并提供对文件格式、位深度和色彩空间的进阶控制。支持保存为 PNG 或 EXR 文件，并能将工作流元数据嵌入到保存的文件中。
+
+## ## 输入
+
+| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `images` | IMAGE | 是 | - | 要保存的图像。 |
+| `filename_prefix` | STRING | 是 | - | 保存文件的前缀。可包含格式化标记，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`。（默认值："ComfyUI"） |
+| `format` | COMBO | 是 | `"png"` `"exr"` | 保存图像的文件格式。选择格式后会显示该格式的附加选项。 |
+| `bit_depth` | COMBO | 是（条件性） | 对于 PNG：`"8-bit"` `"16-bit"` 对于 EXR：`"32-bit float"` | 所选格式的位深度。选择格式后此参数才会显示。（默认值：PNG 为 "8-bit"，EXR 为 "32-bit float"） |
+| `input_color_space` | COMBO | 是（条件性） | 对于 PNG：`"sRGB"` 对于 EXR：`"sRGB"` `"HDR"` `"linear"` | 输入张量的色彩空间。对于 PNG，仅支持 sRGB。对于 EXR，图像始终以场景线性方式写入匹配的色域中。（默认值："sRGB"） |
+
+**参数依赖关系说明：**
+- `bit_depth` 和 `input_color_space` 参数仅在选择了特定 `format` 后才可用。
+- 对于 PNG 格式，仅支持 "8-bit" 和 "16-bit" 位深度，且仅支持 "sRGB" 色彩空间。
+- 对于 EXR 格式，仅支持 "32-bit float" 位深度，色彩空间可选 "sRGB"、"HDR" 或 "linear"。
+- EXR 的 `input_color_space` 参数决定了输入张量的解释方式：
+ - `"sRGB"` — 输入为 sRGB 编码的 Rec.709；将应用反向 sRGB EOTF。
+ - `"HDR"` — 输入为 HLG 编码的 Rec.2020 (BT.2100)；将应用反向 HLG OETF 以获得场景线性光。
+ - `"linear"` — 输入已经是场景线性（Rec.709 基色）；直接写入不做更改。适用于渲染器/合成器输出。
+
+## ## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `images` | IMAGE | 已保存图像结果的列表，每个结果包含文件名、子文件夹和类型（"output"）。此输出用于 UI 显示。 |
+
+---
+**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5`
diff --git a/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md b/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md
index 959281a87..9f5dcac35 100644
--- a/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md
+++ b/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md
@@ -17,4 +17,4 @@ This node saves a list of images to a specified folder within ComfyUI's output d
This node does not have any outputs. It is an output node that performs a save operation to the filesystem.
---
-**Source fingerprint (SHA-256):** `65c7905caa8ff2811054bec2830c1359d0c441b5d93f50bc4d0bf10645046556`
+**Source fingerprint (SHA-256):** `6a3f5de6e3ef12743bb46f8cbd311ecbed28ea041fe34ae123e918420a444774`
diff --git a/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md b/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md
index 2ff3e547c..53862881e 100644
--- a/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md
+++ b/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md
@@ -7,11 +7,11 @@ The Save Image and Text Dataset to Folder node saves a list of images and their
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `images` | IMAGE | Yes | - | List of images to save. |
-| `texts` | STRING | Yes | - | List of text captions to save. |
+| `texts` | STRING | No | - | List of text captions to save. This input is optional. |
| `folder_name` | STRING | No | - | Name of the folder to save images to (inside output directory). (default: "dataset") |
| `filename_prefix` | STRING | No | - | Prefix for saved image filenames. (default: "image") |
-**Note:** The `images` and `texts` inputs are lists. The node expects the number of text captions to match the number of images provided. Each caption will be saved in a `.txt` file corresponding to its paired image.
+**Note:** The `images` input is a list. The `texts` input is optional; if provided, it should be a list of text captions. The node expects the number of text captions to match the number of images provided. Each caption will be saved in a `.txt` file corresponding to its paired image.
## Outputs
@@ -20,4 +20,4 @@ The Save Image and Text Dataset to Folder node saves a list of images and their
| - | - | This node does not have any outputs. It saves files directly to the filesystem. |
---
-**Source fingerprint (SHA-256):** `0c76f623e97b1502c850e0a59dc9edd7c241bcd823f5e32a8dcdd8b8160d2e44`
+**Source fingerprint (SHA-256):** `e772e0f9b56af1dfd65a384e22eda2065215c8a9ca0360c93885e39721b0c767`
diff --git a/comfyui_embedded_docs/docs/SaveLoRA/en.md b/comfyui_embedded_docs/docs/SaveLoRA/en.md
index a979e3156..23fd8189d 100644
--- a/comfyui_embedded_docs/docs/SaveLoRA/en.md
+++ b/comfyui_embedded_docs/docs/SaveLoRA/en.md
@@ -19,4 +19,4 @@ The SaveLoRA node saves a LoRA (Low-Rank Adaptation) model to a file. It takes a
| *None* | N/A | This node does not output any data to the workflow. It is an output node that saves a file to disk. |
---
-**Source fingerprint (SHA-256):** `e68a449d741c908f23fc1585d848254d78c310ad19efbd139c33c9ddef3145c7`
+**Source fingerprint (SHA-256):** `0d9bb1adef75214e3ecf5a16f046761d547d21bea41488b0ce80cdc05ed2e81b`
diff --git a/comfyui_embedded_docs/docs/SaveSVGNode/en.md b/comfyui_embedded_docs/docs/SaveSVGNode/en.md
index 148320cc9..7a6817e75 100644
--- a/comfyui_embedded_docs/docs/SaveSVGNode/en.md
+++ b/comfyui_embedded_docs/docs/SaveSVGNode/en.md
@@ -18,4 +18,4 @@ Save SVG files on disk. This node takes SVG data as input and saves it to your o
**Note:** This node automatically embeds workflow metadata (prompt and extra PNG information) into the SVG file when available. The metadata is inserted as a CDATA section within the SVG's metadata element.
---
-**Source fingerprint (SHA-256):** `a294103d8d2306ce6765912a98c5572323bb5394909ee384591534b0b404ea70`
+**Source fingerprint (SHA-256):** `f8ac0c8aef01229f605c9b5b18e3f36996ef8bf6333fe31c9ebf32ae7ed76907`
diff --git a/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md b/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md
index f1e4734a5..e0603c865 100644
--- a/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md
+++ b/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md
@@ -18,4 +18,4 @@ This node saves a prepared training dataset to your computer's hard drive. It ta
This node does not produce any output data. Its function is to save files to your disk.
---
-**Source fingerprint (SHA-256):** `1b0108be7362c0cb8ba16ffbf94cf42be2d04159aacbabe1ff0890083d1733b3`
+**Source fingerprint (SHA-256):** `88ef66ea13cb2cc3ab2c321fc88d84d6431c3503413f651a50a40fbc541b3e54`
diff --git a/comfyui_embedded_docs/docs/SaveVideo/en.md b/comfyui_embedded_docs/docs/SaveVideo/en.md
index 13a9172f2..a852dc8fa 100644
--- a/comfyui_embedded_docs/docs/SaveVideo/en.md
+++ b/comfyui_embedded_docs/docs/SaveVideo/en.md
@@ -7,15 +7,15 @@ The SaveVideo node saves input video content to your ComfyUI output directory. I
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `video` | VIDEO | Yes | - | The video to save. |
-| `filename_prefix` | STRING | No | - | The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes (default: "video/ComfyUI"). |
-| `format` | COMBO | No | `"auto"` `"mp4"` `"webm"` `"mkv"` `"gif"` | The format to save the video as (default: "auto"). |
-| `codec` | COMBO | No | `"auto"` `"h264"` `"h265"` `"vp9"` `"av1"` `"prores"` | The codec to use for the video (default: "auto"). |
+| `filename_prefix` | STRING | No | - | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "video/ComfyUI"). |
+| `format` | STRING | No | `"auto"` `"mp4"` `"webm"` `"mkv"` `"gif"` | The format to save the video as (default: "auto"). |
+| `codec` | STRING | No | `"auto"` `"h264"` `"h265"` `"vp9"` `"av1"` `"prores"` | The codec to use for the video (default: "auto"). |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| *No outputs* | - | This node does not return any output data. |
+| `ui` | PREVIEW_VIDEO | A preview of the saved video file, including the file path and subfolder information for display in the UI. |
---
-**Source fingerprint (SHA-256):** `506ddc8820924688cccb9fd838ff9c0f5217a38f708f28f15a060be9325cea61`
+**Source fingerprint (SHA-256):** `099472641a2bd0125a8b9e416f9b2e15e3d4f999109b159ee298231e36de8432`
diff --git a/comfyui_embedded_docs/docs/SaveWEBM/en.md b/comfyui_embedded_docs/docs/SaveWEBM/en.md
index 5dcffcf99..3e4d3cb7e 100644
--- a/comfyui_embedded_docs/docs/SaveWEBM/en.md
+++ b/comfyui_embedded_docs/docs/SaveWEBM/en.md
@@ -19,4 +19,4 @@ The SaveWEBM node saves a sequence of images as a WEBM video file. It takes mult
| `ui` | PREVIEW | Video preview showing the saved WEBM file |
---
-**Source fingerprint (SHA-256):** `761ce5148c273ffe3789be75c2a00268241d3ec7ecebd5b10efd1b1cc98d85ea`
+**Source fingerprint (SHA-256):** `7ed734af0f4af835c5b52a91389666ec1e0101458aa0f639ef5eeabf1968bfcc`
diff --git a/comfyui_embedded_docs/docs/ScaleROPE/en.md b/comfyui_embedded_docs/docs/ScaleROPE/en.md
index e8f28359d..607fd6f39 100644
--- a/comfyui_embedded_docs/docs/ScaleROPE/en.md
+++ b/comfyui_embedded_docs/docs/ScaleROPE/en.md
@@ -21,4 +21,4 @@ The ScaleROPE node allows you to modify the Rotary Position Embedding (ROPE) of
| `model` | MODEL | The model with the new ROPE scaling and shifting parameters applied. |
---
-**Source fingerprint (SHA-256):** `c5ca193a46faa9477a2e6c99b905205685e8add8faa2f2d161c7c384b3dc2441`
+**Source fingerprint (SHA-256):** `4899aaf380aefd7cb41593edb402f166c34e25029e82edddf718bb38e8c2339d`
diff --git a/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md b/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md
index 85449eefd..a37aae11b 100644
--- a/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md
+++ b/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md
@@ -19,4 +19,4 @@ The Self-Attention Guidance node applies guidance to diffusion models by modifyi
**Note:** This node is currently experimental and has limitations with chunked batches. It can only save attention scores from one UNet call and may not work properly with larger batch sizes.
---
-**Source fingerprint (SHA-256):** `5f16ecd8f74bfd71073c6e3a65be08e54e4f5b9c56fe08deb48f35df381e82fa`
+**Source fingerprint (SHA-256):** `ab8f7a0cf19c85f8e77b2d6b380c0224a407a900a42341de7503f5394a3216fb`
diff --git a/comfyui_embedded_docs/docs/SetFirstSigma/en.md b/comfyui_embedded_docs/docs/SetFirstSigma/en.md
index a143be5c1..13f593a8c 100644
--- a/comfyui_embedded_docs/docs/SetFirstSigma/en.md
+++ b/comfyui_embedded_docs/docs/SetFirstSigma/en.md
@@ -16,4 +16,4 @@ The SetFirstSigma node modifies a sequence of sigma values by replacing the firs
| `sigmas` | SIGMAS | The modified sigma sequence with the first element replaced by the custom sigma value |
---
-**Source fingerprint (SHA-256):** `2414acd7f3f42032c12bae2c581de4721f4c1daa912255fa0956caaa567291d5`
+**Source fingerprint (SHA-256):** `7f5a5fa4b4aaa4cf31a725df74821ad400bf951320b1ce004087d7ec53668b63`
diff --git a/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md b/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md
index e37096d88..0fab50b19 100644
--- a/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md
+++ b/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md
@@ -7,7 +7,7 @@ The SetUnionControlNetType node allows you to specify the type of control networ
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `control_net` | CONTROL_NET | Yes | - | The control network to modify with a new type setting |
-| `type` | STRING | Yes | `"auto"` All available UNION_CONTROLNET_TYPES keys | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options |
+| `type` | STRING | Yes | `"auto"` All available UNION_CONTROLNET_TYPES keys | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options (default: "auto") |
## Outputs
@@ -16,4 +16,4 @@ The SetUnionControlNetType node allows you to specify the type of control networ
| `control_net` | CONTROL_NET | The modified control network with the specified type setting applied |
---
-**Source fingerprint (SHA-256):** `a64308aec96784f08b6f3f8e96e85f532bd1c536301739e7252b2c7978921b5a`
+**Source fingerprint (SHA-256):** `a2f8695c64490f0700a035c8c2e724b9c29796fb220ed7fdd13651545a3158e6`
diff --git a/comfyui_embedded_docs/docs/ShuffleDataset/en.md b/comfyui_embedded_docs/docs/ShuffleDataset/en.md
index 2af339e40..90f9c76f8 100644
--- a/comfyui_embedded_docs/docs/ShuffleDataset/en.md
+++ b/comfyui_embedded_docs/docs/ShuffleDataset/en.md
@@ -7,7 +7,7 @@ The Shuffle Dataset node takes a list of images and randomly changes their order
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `images` | IMAGE | Yes | - | The list of images to be shuffled. |
-| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. A value of 0 will produce a different shuffle each time. (default: 0) |
+| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. (default: 0) |
## Outputs
@@ -16,4 +16,4 @@ The Shuffle Dataset node takes a list of images and randomly changes their order
| `images` | IMAGE | The same list of images, but in a new, randomly shuffled order. |
---
-**Source fingerprint (SHA-256):** `0b8442029995bdcedf1df0cb8d27d87aa529fb1021d911ed3016a6a7e788b246`
+**Source fingerprint (SHA-256):** `6cde5dcf15817ab98f35f7b2e40fe79a5451c86dba93c0e3cd2622d1cec76c36`
diff --git a/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md b/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md
index 06bc16fd4..2e14092a6 100644
--- a/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md
+++ b/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md
@@ -20,4 +20,4 @@ This node shuffles a list of images and a list of texts together, keeping their
| `texts` | STRING | The shuffled list of texts, maintaining their original pairings with the images. |
---
-**Source fingerprint (SHA-256):** `c87cef780c98b1cf2a58a7d5faf4399c85edd647a9fdba693d008152e43d9c99`
+**Source fingerprint (SHA-256):** `77050e9f7255e64b07bd394908b679acef399d78ec9be7c1346d6f297c109968`
diff --git a/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md b/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md
index 2864f0a0e..8b0dc6b8b 100644
--- a/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md
+++ b/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md
@@ -23,4 +23,4 @@ Enhances guidance towards detailed structure by using another set of CFG negativ
| `model` | MODEL | The modified model with skip layer guidance applied |
---
-**Source fingerprint (SHA-256):** `cf494fbeb33e7bc3b3f798e9e9b025623afad4ea6340ef628caa776c7d42ba12`
+**Source fingerprint (SHA-256):** `35ca97f87913d0efcbb502ca040a8f357da112b202184d8786f63acd76809808`
diff --git a/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md b/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md
index 62ab511e8..b1f9b3b98 100644
--- a/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md
+++ b/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md
@@ -21,4 +21,4 @@ Simple version of the SkipLayerGuidanceDiT node that only modifies the unconditi
| `model` | MODEL | The modified model with skip layer guidance applied to the specified layers |
---
-**Source fingerprint (SHA-256):** `6795a67a63d9aa8b2adea3d96e49272d88c21d0642bb507e175a2fcf3a125f98`
+**Source fingerprint (SHA-256):** `f153348d75cf3b52d7d7d541f7467e51c797e1fe5844516591db7a191415cdb2`
diff --git a/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md b/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md
index 4b46794d7..ffc8ec550 100644
--- a/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md
+++ b/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md
@@ -19,4 +19,4 @@ The SkipLayerGuidanceSD3 node enhances guidance towards detailed structure by ap
| `model` | MODEL | The modified model with skip layer guidance applied |
---
-**Source fingerprint (SHA-256):** `97c8220abd223bd35b4d0274c2b4536ffb6be7954ccd917943905bd22f60c1a5`
+**Source fingerprint (SHA-256):** `8fba6e3037387e6beab64175099de1c96babdd492609099ba8ad3a49a6c34efe`
diff --git a/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md b/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md
index 8a7e3a7b0..41ffc8e9d 100644
--- a/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md
+++ b/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md
@@ -19,4 +19,4 @@ The Sonilo Text to Music node generates music from a text description using Soni
| `audio` | AUDIO | The generated music as an audio file. |
---
-**Source fingerprint (SHA-256):** `aac2762d9310179279ed7dcc9766f38342400902de2f8791b78d8092a96b86b4`
+**Source fingerprint (SHA-256):** `3c94a2f1004d01d410be089e5dbb926246cca38fdadadee0597c1843ba53883c`
diff --git a/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md b/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md
index 1bda11e68..2e02c33de 100644
--- a/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md
+++ b/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md
@@ -17,4 +17,4 @@ Generate music from video using Sonilo's AI model. This node analyzes the conten
| `audio` | AUDIO | The generated music as an audio file. |
---
-**Source fingerprint (SHA-256):** `542fff1d8db8e48156bf9d1ff4690c91a7d71676332eef4708a6d36686abb31e`
+**Source fingerprint (SHA-256):** `6c7965a4cc31d9fce6711b57052fdfbff37ba9decd086b18587ff39cc4fc3a0b`
diff --git a/comfyui_embedded_docs/docs/SplitAudioChannels/en.md b/comfyui_embedded_docs/docs/SplitAudioChannels/en.md
index e0b2ad894..e9afea7f9 100644
--- a/comfyui_embedded_docs/docs/SplitAudioChannels/en.md
+++ b/comfyui_embedded_docs/docs/SplitAudioChannels/en.md
@@ -18,4 +18,4 @@ The SplitAudioChannels node separates stereo audio into individual left and righ
| `right` | AUDIO | The separated right channel audio |
---
-**Source fingerprint (SHA-256):** `48f329f3eb9749e75eda1038c43caf42ee63d8a1fa66ab29ad3d34b5d136e323`
+**Source fingerprint (SHA-256):** `c6e6ecb219e0cb47b003ec9c28fdc060ef83bf1c8bd77d9fb29a088d55a9ab3f`
diff --git a/comfyui_embedded_docs/docs/SplitImageToTileList/en.md b/comfyui_embedded_docs/docs/SplitImageToTileList/en.md
index 1edb9bf06..5b0e050dc 100644
--- a/comfyui_embedded_docs/docs/SplitImageToTileList/en.md
+++ b/comfyui_embedded_docs/docs/SplitImageToTileList/en.md
@@ -18,4 +18,4 @@ The Split Image into List of Tiles node divides a single input image into a seri
| `image` | IMAGE | A batched list containing all the individual image tiles. |
---
-**Source fingerprint (SHA-256):** `26991a325b7b9358cd7338348e93c57695b1ed1aa1983962794f889c94c34547`
+**Source fingerprint (SHA-256):** `4a04e7042446c2368091ffd051c781f9f0ec8496ab681ee9e0741bb269bb54af`
diff --git a/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md b/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md
index f957b1910..0cd5b2867 100644
--- a/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md
+++ b/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md
@@ -17,4 +17,4 @@ The SplitSigmasDenoise node divides a sequence of sigma values into two parts ba
| `low_sigmas` | SIGMAS | The second portion of the sigma sequence containing lower sigma values |
---
-**Source fingerprint (SHA-256):** `fda53efe2fcaed9244376b7360d8b0b76ce7395d594de4c2ecc48a8f243d7ca6`
+**Source fingerprint (SHA-256):** `e458c32a51534011712885aa65bfb94bed09a1886954dee07447a7adf41ed456`
diff --git a/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md b/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md
index ec112146a..ce976506f 100644
--- a/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md
+++ b/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md
@@ -6,14 +6,14 @@ Transforms part of an existing audio sample using text instructions. This node a
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | COMBO | Yes | "stable-audio-2.5" | The AI model to use for audio inpainting. |
-| `prompt` | STRING | Yes | | Text description guiding how the audio should be transformed (default: empty). |
+| `model` | STRING | Yes | `"stable-audio-2.5"` | The AI model to use for audio inpainting. |
+| `prompt` | STRING | Yes | | Text description guiding how the audio should be transformed (default: empty). Maximum length is 10,000 characters. |
| `audio` | AUDIO | Yes | | Input audio file to transform. Audio must be between 6 and 190 seconds long. |
-| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190). |
-| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0). |
-| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8). |
-| `mask_start` | INT | No | 0-190 | Starting position in seconds for the audio section to transform (default: 30). |
-| `mask_end` | INT | No | 0-190 | Ending position in seconds for the audio section to transform (default: 190). |
+| `duration` | INT | No | 1 to 190 | Controls the duration in seconds of the generated audio (default: 190). |
+| `seed` | INT | No | 0 to 4294967294 | The random seed used for generation (default: 0). |
+| `steps` | INT | No | 4 to 8 | Controls the number of sampling steps (default: 8). |
+| `mask_start` | INT | No | 0 to 190 | Starting position in seconds for the audio section to transform (default: 30). |
+| `mask_end` | INT | No | 0 to 190 | Ending position in seconds for the audio section to transform (default: 190). |
**Note:** The `mask_end` value must be greater than the `mask_start` value. The input audio must be between 6 and 190 seconds in duration.
@@ -24,4 +24,4 @@ Transforms part of an existing audio sample using text instructions. This node a
| `audio` | AUDIO | The transformed audio output with the specified section modified according to the prompt. |
---
-**Source fingerprint (SHA-256):** `6589fdbff8387e403055c711a61bb3000d87e5f8cd3753d6e665b723be6f43e2`
+**Source fingerprint (SHA-256):** `c00d84db73dfcd708495d7a04e21a2378880ca6ceb906473a45dcc1dae20bf79`
diff --git a/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md b/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md
index 7e390181e..1ace2c1fa 100644
--- a/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md
+++ b/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md
@@ -6,15 +6,15 @@ Transforms existing audio samples into new high-quality compositions using text
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | COMBO | Yes | "stable-audio-2.5" | The AI model to use for audio transformation |
-| `prompt` | STRING | Yes | | Text instructions describing how to transform the audio (default: empty) |
+| `model` | COMBO | Yes | "stable-audio-2.5" | The AI model to use for audio transformation |
+| `prompt` | STRING | Yes | | Text instructions describing how to transform the audio (default: empty, max length: 10000 characters) |
| `audio` | AUDIO | Yes | | Audio must be between 6 and 190 seconds long |
| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190) |
| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0) |
| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8) |
| `strength` | FLOAT | No | 0.01-1.0 | Parameter controls how much influence the audio parameter has on the generated audio (default: 1.0) |
-**Note:** The input audio must be between 6 and 190 seconds in duration.
+**Note:** The input audio must be between 6 and 190 seconds in duration. The prompt text has a maximum length of 10,000 characters.
## Outputs
@@ -23,4 +23,4 @@ Transforms existing audio samples into new high-quality compositions using text
| `audio` | AUDIO | The transformed audio generated based on the input audio and text prompt |
---
-**Source fingerprint (SHA-256):** `d63ee2585be1ec1a21da72656ecea37f051a56595b15637013e515eb298fc4dc`
+**Source fingerprint (SHA-256):** `4d320c851a58b58d1a744ca64295fe0cf3002455944ea1c5484b0c2df3ecd4d5`
diff --git a/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md b/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md
index 9174d9443..be40f36f3 100644
--- a/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md
+++ b/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md
@@ -25,4 +25,4 @@ This node generates images synchronously using Stability AI's Stable Diffusion 3
| `image` | IMAGE | The generated or modified image. |
---
-**Source fingerprint (SHA-256):** `80dbb27f19bb3286ee988f020f7f65623a73d7cac77ca0cdfc7a428254102aa3`
+**Source fingerprint (SHA-256):** `aa071616da3ff645dfbc885c84706324d555c18772d3cc0d603b5699a0e7dfff`
diff --git a/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md b/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md
index b0559f641..5f5d84c81 100644
--- a/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md
@@ -23,4 +23,4 @@ Generates images synchronously based on prompt and resolution. This node creates
| `output` | IMAGE | The generated image based on the input parameters. |
---
-**Source fingerprint (SHA-256):** `2fd9e106a3460a39c33ecc9a15ab6414dab1914fdc43e4f546827e02c889cf62`
+**Source fingerprint (SHA-256):** `4d516f67a0e2a8c02f601b4da9fe466b7376d50bb96d6e0dc6ca2cc034c79585`
diff --git a/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md b/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md
index bf7824e7c..ce18f84cb 100644
--- a/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md
+++ b/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md
@@ -19,4 +19,4 @@ Generates high-quality music and sound effects from text descriptions. This node
| `audio` | AUDIO | The generated audio file based on the text prompt |
---
-**Source fingerprint (SHA-256):** `5185241ca7a9b4bc38dfa8bafdae63ec3c151a3038a26ffe8e35492c0550fa88`
+**Source fingerprint (SHA-256):** `123b166c3879b18854b8d3cf039576d76925664baac63a816a1639d764d869f7`
diff --git a/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md b/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md
index a872ce95c..372aaf250 100644
--- a/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md
@@ -19,4 +19,4 @@ Upscale image with minimal alterations to 4K resolution. This node uses Stabilit
| `image` | IMAGE | The upscaled image at 4K resolution |
---
-**Source fingerprint (SHA-256):** `0a6eed22a37c1019ee97035bba70660b9619b0d65e443111d1d330968ded009a`
+**Source fingerprint (SHA-256):** `7fc0cdf98b4edd991070252d8d9736b48acca6038804209ab7163e5516e1ca34`
diff --git a/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md b/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md
index 986c49e23..3731e3b11 100644
--- a/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md
@@ -20,4 +20,4 @@ Upscale image with minimal alterations to 4K resolution. This node uses Stabilit
| `image` | IMAGE | The upscaled image at 4K resolution |
---
-**Source fingerprint (SHA-256):** `46f7bdd3cb4254b6305407f43e4a9a69a54fd3a0ac285d784c899dbf52edd552`
+**Source fingerprint (SHA-256):** `1720cc44cc6273b00b3061b44581ba00853e9da32616bc02584335eb6156632c`
diff --git a/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md b/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md
index 0d74d9c6a..e2baf2611 100644
--- a/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md
@@ -15,4 +15,4 @@ Quickly upscales an image via Stability API call to 4x its original size. This n
| `output` | IMAGE | The upscaled image returned from the Stability AI API |
---
-**Source fingerprint (SHA-256):** `0f349c6834807d43173e628abbee91a3a26f587f4bd5453443a9f5754ea8aeeb`
+**Source fingerprint (SHA-256):** `fd3b033c3454e3b795806f2759f8416ea091df24cb2878b701983e4286da98c9`
diff --git a/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md b/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md
index f7d78c2b9..76573d2e9 100644
--- a/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md
+++ b/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md
@@ -19,4 +19,4 @@ The StableCascade_EmptyLatentImage node creates empty latent tensors for Stable
| `stage_b` | LATENT | The stage B latent tensor with dimensions [batch_size, 4, height//4, width//4] |
---
-**Source fingerprint (SHA-256):** `ba5347f522b661993e540bc5775737cae88bd5f7a87c1b91715f8c1858e8e81a`
+**Source fingerprint (SHA-256):** `072c320d415acbc0ebc5b823855b64f0df29082d18b84a15ac63ec016e64ecf8`
diff --git a/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md b/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md
index c7c33695e..a3bd33bf6 100644
--- a/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md
+++ b/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md
@@ -16,4 +16,4 @@ The StableCascade_StageB_Conditioning node prepares conditioning data for Stable
| `CONDITIONING` | CONDITIONING | The modified conditioning data with Stage C prior information integrated |
---
-**Source fingerprint (SHA-256):** `f6ee524889aa324151a91c200fdc2692754cbd1348e32fbc05a26fd7ba27c755`
+**Source fingerprint (SHA-256):** `1679f61320f7f7b929f5166d6f038426256a9e12cc7f72639452fd2734cf712c`
diff --git a/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md b/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md
index f8bbfbe26..4bcf2bf74 100644
--- a/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md
+++ b/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md)
-The StableCascade_StageC_VAEEncode node processes images through a VAE encoder to generate latent representations for Stable Cascade models. It takes an input image and compresses it using the specified VAE model, then outputs two latent representations: one for stage C and a placeholder for stage B. The compression parameter controls how much the image is scaled down before encoding.
+The StableCascade_StageC_VAEEncode node processes an input image through a VAE encoder to generate latent representations for the Stable Cascade model. It first resizes the image based on a compression factor and the VAE's downscale ratio, then encodes the resized image. The node outputs two latent tensors: one for stage C (the actual encoded result) and one for stage B (a zero-filled placeholder).
## Inputs
@@ -8,14 +8,14 @@ The StableCascade_StageC_VAEEncode node processes images through a VAE encoder t
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | The input image to be encoded into latent space |
| `vae` | VAE | Yes | - | The VAE model used for encoding the image |
-| `compression` | INT | No | 4-128 | The compression factor applied to the image before encoding (default: 42) |
+| `compression` | INT | No | 4-128 | The compression factor applied to the image before encoding. The image dimensions are divided by this value, then multiplied by the VAE's downscale ratio. (default: 42) |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
| `stage_c` | LATENT | The encoded latent representation for stage C of the Stable Cascade model |
-| `stage_b` | LATENT | A placeholder latent representation for stage B (currently returns zeros) |
+| `stage_b` | LATENT | A placeholder latent representation for stage B. Currently returns a zero-filled tensor with dimensions calculated from the input image size. |
---
-**Source fingerprint (SHA-256):** `e7b9bd83d263903567ab06c00324575e01b79b50881fa807cd6f006955935c63`
+**Source fingerprint (SHA-256):** `6ebdd035349744bc76ab294f16504672d3e79883fccc86d6ea057b4b15faef05`
diff --git a/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md b/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md
index 6e052f5ba..1c9c25075 100644
--- a/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md
+++ b/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md
@@ -14,8 +14,8 @@ The StableCascade_SuperResolutionControlnet node prepares inputs for Stable Casc
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
| `controlnet_input` | IMAGE | The encoded image representation suitable for controlnet input |
-| `stage_c` | LATENT | Placeholder latent representation for stage C of Stable Cascade processing |
-| `stage_b` | LATENT | Placeholder latent representation for stage B of Stable Cascade processing |
+| `stage_c` | LATENT | Placeholder latent representation for stage C of Stable Cascade processing, with dimensions based on the input image size divided by 16 |
+| `stage_b` | LATENT | Placeholder latent representation for stage B of Stable Cascade processing, with dimensions based on the input image size divided by 2 |
---
-**Source fingerprint (SHA-256):** `78b6e5a02c48ac37a205ef9d8532a3aca19134de4ec7be98b2ee55969dab7b53`
+**Source fingerprint (SHA-256):** `6872eb8610355871ec05c3dacc63ac86d2dc393819f283d256650878a54b7522`
diff --git a/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md b/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md
index c26f0b022..fbadac8dc 100644
--- a/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md
+++ b/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md
@@ -26,4 +26,4 @@ The StableZero123_Conditioning node processes an input image and camera angles t
| `latent` | LATENT | Latent representation with dimensions [batch_size, 4, height//8, width//8] |
---
-**Source fingerprint (SHA-256):** `a9d6619c800119c9a619665f322d49ded1478ceb40df56ca5707b31242cb0e47`
+**Source fingerprint (SHA-256):** `197b4efaf13837500f2c3aaf589facc384b3f0bbd026aaa75a7fee509bd0bc51`
diff --git a/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md b/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md
index e9dce8306..5b9ed65e3 100644
--- a/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md
+++ b/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md
@@ -28,4 +28,4 @@ The StableZero123_Conditioning_Batched node processes an input image and generat
| `latent` | LATENT | The latent representation of the processed image with batch indexing information |
---
-**Source fingerprint (SHA-256):** `2b770f7a168a0d3e33da8bfa63383080709fa5d53846dbf6a4374bd1ef1746aa`
+**Source fingerprint (SHA-256):** `fb181f43076087cb040db9404a42e27a39ac7eac7af3da283b3e040342374c74`
diff --git a/comfyui_embedded_docs/docs/StringCompare/en.md b/comfyui_embedded_docs/docs/StringCompare/en.md
index f68c5c313..54f826ea4 100644
--- a/comfyui_embedded_docs/docs/StringCompare/en.md
+++ b/comfyui_embedded_docs/docs/StringCompare/en.md
@@ -18,4 +18,4 @@ The StringCompare node compares two text strings using different comparison meth
| `output` | BOOLEAN | Returns true if the comparison condition is met, false otherwise |
---
-**Source fingerprint (SHA-256):** `4491e4acd2c1881e9c924c6ae51d764dec5f46279094d173fe551e9ee9256597`
+**Source fingerprint (SHA-256):** `18599228c31543f270afde0f3b838512ee12d1998b8de42c4d3e7852b1a5d8b2`
diff --git a/comfyui_embedded_docs/docs/StringConcatenate/en.md b/comfyui_embedded_docs/docs/StringConcatenate/en.md
index bd6f1bf9f..9160c42e1 100644
--- a/comfyui_embedded_docs/docs/StringConcatenate/en.md
+++ b/comfyui_embedded_docs/docs/StringConcatenate/en.md
@@ -17,4 +17,4 @@ The StringConcatenate node combines two text strings into one by joining them wi
| `output` | STRING | The combined string with the delimiter inserted between string_a and string_b |
---
-**Source fingerprint (SHA-256):** `8e33665fb14a53f6c3bbfb6a4553ac7effa96d7d16d9ab2a9d4a1249abfc62e4`
+**Source fingerprint (SHA-256):** `ea6fa7948d07e87b7ea3aeaf4f38c4cfdbfa5c5bd56d9f2935f94f1775686d08`
diff --git a/comfyui_embedded_docs/docs/StringContains/en.md b/comfyui_embedded_docs/docs/StringContains/en.md
index f77d100f5..bef500a34 100644
--- a/comfyui_embedded_docs/docs/StringContains/en.md
+++ b/comfyui_embedded_docs/docs/StringContains/en.md
@@ -17,4 +17,4 @@ The StringContains node checks if a given string contains a specified substring.
| `contains` | BOOLEAN | Returns true if the substring is found in the string, false otherwise |
---
-**Source fingerprint (SHA-256):** `ef7329ca8586e0f894306d93835490edb948a346db1e0cb011e4da5a6fe44202`
+**Source fingerprint (SHA-256):** `9e85e51bc32c4041a66de8d5b11475aba3120eee1e8c5a37fedfaa470746888c`
diff --git a/comfyui_embedded_docs/docs/StringFormat/ar.md b/comfyui_embedded_docs/docs/StringFormat/ar.md
new file mode 100644
index 000000000..7ca192dd1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/ar.md
@@ -0,0 +1,23 @@
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ar.md)
+
+نظرة عامة
+
+تنسّق هذه العقدة النصوص باستخدام أسلوب تنسيق السلاسل النصية في بايثون. تعمل كقالب حيث تُحدد نمط النص مع عناصر نائبة، ثم تُقدم القيم لملء هذه العناصر النائبة. تدعم جميع خيارات وميزات التنسيق في بايثون.
+
+المدخلات
+
+| المعامل | نوع البيانات | إلزامي | النطاق | الوصف |
+|-----------|-----------|----------|-------|-------------|
+| `f_string` | STRING | نعم | غير متاح | قالب سلسلة التنسيق مع العناصر النائبة (الافتراضي: `{a}`). يدعم الإدخال متعدد الأسطر. |
+| `values` | STRING | نعم | غير متاح | إدخال ديناميكي لتوفير القيم لملء العناصر النائبة في سلسلة التنسيق. يمكن إضافة مدخلات قيم متعددة حسب الحاجة. |
+
+**ملاحظة حول مدخل `values`:** هذا المدخل ديناميكي ويمكن توسيعه ليشمل قيمًا مسماة متعددة. يُسمى كل مدخل قيمة بحرف (a, b, c, إلخ) ويتوافق مع عنصر نائب في سلسلة التنسيق (مثل `{a}`، `{b}`، `{c}`). يمكنك إضافة أو إزالة مدخلات القيم حسب الحاجة.
+
+المخرجات
+
+| اسم المخرج | نوع البيانات | الوصف |
+|-------------|-----------|-------------|
+| `STRING` | STRING | سلسلة النص المنسقة مع استبدال جميع العناصر النائبة بقيمها المقابلة. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/en.md b/comfyui_embedded_docs/docs/StringFormat/en.md
new file mode 100644
index 000000000..4b08d9ef6
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/en.md
@@ -0,0 +1,23 @@
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/en.md)
+
+## Overview
+
+This node formats text using Python's string format method. It works like a template where you define a text pattern with placeholders, and then provide values to fill those placeholders. It supports all of Python's format options and features.
+
+## Inputs
+
+| Parameter | Data Type | Required | Range | Description |
+|-----------|-----------|----------|-------|-------------|
+| `f_string` | STRING | Yes | N/A | The format string template with placeholders (default: `{a}`). Supports multiline input. |
+| `values` | STRING | Yes | N/A | Dynamic input for providing values to fill placeholders in the format string. Multiple value inputs can be added as needed. |
+
+**Note on `values` input:** This input is dynamic and can be expanded to include multiple named values. Each value input is labeled with a letter (a, b, c, etc.) and corresponds to a placeholder in the format string (e.g., `{a}`, `{b}`, `{c}`). You can add or remove value inputs as needed.
+
+## Outputs
+
+| Output Name | Data Type | Description |
+|-------------|-----------|-------------|
+| `STRING` | STRING | The formatted text string with all placeholders replaced by their corresponding values. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/es.md b/comfyui_embedded_docs/docs/StringFormat/es.md
new file mode 100644
index 000000000..4bef13acc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/es.md
@@ -0,0 +1,23 @@
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/es.md)
+
+## Descripción general
+
+Este nodo formatea texto utilizando el método de formato de cadenas de Python. Funciona como una plantilla donde se define un patrón de texto con marcadores de posición, y luego se proporcionan valores para completar dichos marcadores. Soporta todas las opciones y características de formato de Python.
+
+## Entradas
+
+| Parámetro | Tipo de dato | Obligatorio | Rango | Descripción |
+|-----------|--------------|-------------|-------|-------------|
+| `f_string` | STRING | Sí | N/D | La plantilla de cadena de formato con marcadores de posición (predeterminado: `{a}`). Admite entrada multilínea. |
+| `values` | STRING | Sí | N/D | Entrada dinámica para proporcionar valores que completan los marcadores de posición en la cadena de formato. Se pueden agregar múltiples entradas de valor según sea necesario. |
+
+**Nota sobre la entrada `values`:** Esta entrada es dinámica y se puede expandir para incluir múltiples valores con nombre. Cada entrada de valor está etiquetada con una letra (a, b, c, etc.) y corresponde a un marcador de posición en la cadena de formato (por ejemplo, `{a}`, `{b}`, `{c}`). Puede agregar o eliminar entradas de valor según sea necesario.
+
+## Salidas
+
+| Nombre de salida | Tipo de dato | Descripción |
+|------------------|--------------|-------------|
+| `STRING` | STRING | La cadena de texto formateada con todos los marcadores de posición reemplazados por sus valores correspondientes. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/fa.md b/comfyui_embedded_docs/docs/StringFormat/fa.md
new file mode 100644
index 000000000..9205ac6d6
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/fa.md
@@ -0,0 +1,23 @@
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/fa.md)
+
+## نمای کلی
+
+این گره با استفاده از متد قالببندی رشته در پایتون، متن را قالببندی میکند. عملکرد آن مانند یک الگو است که در آن یک الگوی متنی با جاینگهدارها تعریف کرده و سپس مقادیری برای پر کردن آن جاینگهدارها ارائه میدهید. از تمام گزینهها و ویژگیهای قالببندی پایتون پشتیبانی میکند.
+
+## ورودیها
+
+| پارامتر | نوع داده | ضروری | محدوده | توضیحات |
+|---------|----------|-------|--------|----------|
+| `f_string` | STRING | بله | نامشخص | الگوی رشته قالب با جاینگهدارها (پیشفرض: `{a}`). از ورودی چندخطی پشتیبانی میکند. |
+| `values` | STRING | بله | نامشخص | ورودی پویا برای ارائه مقادیر جهت پر کردن جاینگهدارها در رشته قالب. در صورت نیاز میتوان چندین ورودی مقدار اضافه کرد. |
+
+**نکته درباره ورودی `values`:** این ورودی پویا بوده و میتوان آن را برای شامل شدن چندین مقدار نامگذاری شده گسترش داد. هر ورودی مقدار با یک حرف (a, b, c و غیره) برچسبگذاری میشود و با یک جاینگهدار در رشته قالب (مانند `{a}`، `{b}`، `{c}`) مطابقت دارد. میتوانید ورودیهای مقدار را در صورت نیاز اضافه یا حذف کنید.
+
+## خروجیها
+
+| نام خروجی | نوع داده | توضیحات |
+|-----------|----------|----------|
+| `STRING` | STRING | رشته متنی قالببندی شده که تمام جاینگهدارها با مقادیر متناظر خود جایگزین شدهاند. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/fr.md b/comfyui_embedded_docs/docs/StringFormat/fr.md
new file mode 100644
index 000000000..4c287e761
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/fr.md
@@ -0,0 +1,25 @@
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/fr.md)
+
+Voici la traduction en français de la documentation du nœud ComfyUI, en respectant vos règles :
+
+## Aperçu
+
+Ce nœud formate du texte en utilisant la méthode de formatage de chaîne de Python. Il fonctionne comme un modèle où vous définissez un motif de texte avec des espaces réservés, puis fournissez des valeurs pour remplir ces espaces réservés. Il prend en charge toutes les options et fonctionnalités de formatage de Python.
+
+## Entrées
+
+| Paramètre | Type de données | Requis | Plage | Description |
+|-----------|-----------------|--------|-------|-------------|
+| `f_string` | STRING | Oui | N/A | Le modèle de chaîne de format avec des espaces réservés (par défaut : `{a}`). Prend en charge la saisie multiligne. |
+| `values` | STRING | Oui | N/A | Entrée dynamique pour fournir des valeurs afin de remplir les espaces réservés dans la chaîne de format. Plusieurs entrées de valeurs peuvent être ajoutées selon les besoins. |
+
+**Remarque sur l'entrée `values` :** Cette entrée est dynamique et peut être développée pour inclure plusieurs valeurs nommées. Chaque entrée de valeur est étiquetée avec une lettre (a, b, c, etc.) et correspond à un espace réservé dans la chaîne de format (par exemple, `{a}`, `{b}`, `{c}`). Vous pouvez ajouter ou supprimer des entrées de valeur selon vos besoins.
+
+## Sorties
+
+| Nom de la sortie | Type de données | Description |
+|------------------|-----------------|-------------|
+| `STRING` | STRING | La chaîne de texte formatée avec tous les espaces réservés remplacés par leurs valeurs correspondantes. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/ja.md b/comfyui_embedded_docs/docs/StringFormat/ja.md
new file mode 100644
index 000000000..173cddb53
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/ja.md
@@ -0,0 +1,23 @@
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ja.md)
+
+## 概要
+
+このノードは、Pythonの文字列フォーマットメソッドを使用してテキストを整形します。プレースホルダーを含むテキストパターンを定義し、それらのプレースホルダーを埋めるための値を指定するテンプレートとして機能します。Pythonのすべてのフォーマットオプションと機能をサポートしています。
+
+## 入力
+
+| パラメータ | データ型 | 必須 | 範囲 | 説明 |
+|-----------|-----------|----------|-------|-------------|
+| `f_string` | STRING | はい | N/A | プレースホルダーを含むフォーマット文字列テンプレート（デフォルト: `{a}`）。複数行の入力に対応しています。 |
+| `values` | STRING | はい | N/A | フォーマット文字列内のプレースホルダーを埋めるための値を提供する動的入力。必要に応じて複数の値入力を追加できます。 |
+
+**`values` 入力に関する注意:** この入力は動的であり、複数の名前付き値を含むように拡張できます。各値入力は文字（a、b、cなど）でラベル付けされ、フォーマット文字列内のプレースホルダー（例: `{a}`、`{b}`、`{c}`）に対応します。必要に応じて値入力を追加または削除できます。
+
+## 出力
+
+| 出力名 | データ型 | 説明 |
+|-------------|-----------|-------------|
+| `STRING` | STRING | すべてのプレースホルダーが対応する値に置き換えられた、整形済みテキスト文字列。 |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/ko.md b/comfyui_embedded_docs/docs/StringFormat/ko.md
new file mode 100644
index 000000000..a78368a28
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/ko.md
@@ -0,0 +1,23 @@
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ko.md)
+
+## 개요
+
+이 노드는 Python의 문자열 형식화 메서드를 사용하여 텍스트를 포맷합니다. 템플릿처럼 작동하여 자리 표시자가 있는 텍스트 패턴을 정의한 다음, 해당 자리 표시자를 채울 값을 제공합니다. 모든 Python 형식 옵션과 기능을 지원합니다.
+
+## 입력
+
+| 매개변수 | 데이터 타입 | 필수 여부 | 범위 | 설명 |
+|-----------|-----------|----------|-------|-------------|
+| `f_string` | STRING | 예 | 해당 없음 | 자리 표시자가 포함된 형식 문자열 템플릿(기본값: `{a}`). 여러 줄 입력을 지원합니다. |
+| `values` | STRING | 예 | 해당 없음 | 형식 문자열의 자리 표시자를 채울 값을 제공하는 동적 입력입니다. 필요에 따라 여러 값 입력을 추가할 수 있습니다. |
+
+**`values` 입력 참고 사항:** 이 입력은 동적이며 여러 개의 명명된 값을 포함하도록 확장할 수 있습니다. 각 값 입력은 문자(a, b, c 등)로 레이블이 지정되며 형식 문자열의 자리 표시자(예: `{a}`, `{b}`, `{c}`)에 해당합니다. 필요에 따라 값 입력을 추가하거나 제거할 수 있습니다.
+
+## 출력
+
+| 출력 이름 | 데이터 타입 | 설명 |
+|-------------|-----------|-------------|
+| `STRING` | STRING | 모든 자리 표시자가 해당 값으로 대체된 포맷된 텍스트 문자열입니다. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/pt-BR.md b/comfyui_embedded_docs/docs/StringFormat/pt-BR.md
new file mode 100644
index 000000000..487f0c714
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/pt-BR.md
@@ -0,0 +1,23 @@
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/pt-BR.md)
+
+## Visão Geral
+
+Este nó formata texto utilizando o método de formatação de strings do Python. Funciona como um modelo onde você define um padrão de texto com espaços reservados e, em seguida, fornece valores para preenchê-los. Suporta todas as opções e recursos de formatação do Python.
+
+## Entradas
+
+| Parâmetro | Tipo de Dado | Obrigatório | Faixa | Descrição |
+|-----------|--------------|-------------|-------|-----------|
+| `f_string` | STRING | Sim | N/A | O modelo de string de formato com espaços reservados (padrão: `{a}`). Suporta entrada multilinha. |
+| `values` | STRING | Sim | N/A | Entrada dinâmica para fornecer valores que preenchem os espaços reservados na string de formato. Múltiplas entradas de valores podem ser adicionadas conforme necessário. |
+
+**Observação sobre a entrada `values`:** Esta entrada é dinâmica e pode ser expandida para incluir múltiplos valores nomeados. Cada entrada de valor é identificada por uma letra (a, b, c, etc.) e corresponde a um espaço reservado na string de formato (ex.: `{a}`, `{b}`, `{c}`). Você pode adicionar ou remover entradas de valor conforme necessário.
+
+## Saídas
+
+| Nome da Saída | Tipo de Dado | Descrição |
+|---------------|--------------|-----------|
+| `STRING` | STRING | A string de texto formatada com todos os espaços reservados substituídos por seus valores correspondentes. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/ru.md b/comfyui_embedded_docs/docs/StringFormat/ru.md
new file mode 100644
index 000000000..6ec8eca6e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/ru.md
@@ -0,0 +1,23 @@
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ru.md)
+
+## Обзор
+
+Этот узел форматирует текст с использованием метода форматирования строк Python. Он работает как шаблон, где вы задаете текстовый шаблон с заполнителями, а затем предоставляете значения для их заполнения. Поддерживаются все опции и возможности форматирования Python.
+
+## Входы
+
+| Параметр | Тип данных | Обязательный | Диапазон | Описание |
+|----------|------------|--------------|----------|----------|
+| `f_string` | STRING | Да | N/A | Шаблон строки форматирования с заполнителями (по умолчанию: `{a}`). Поддерживает многострочный ввод. |
+| `values` | STRING | Да | N/A | Динамический ввод для предоставления значений, заполняющих заполнители в строке форматирования. При необходимости можно добавить несколько входов значений. |
+
+**Примечание о входе `values`:** Этот вход является динамическим и может быть расширен для включения нескольких именованных значений. Каждый вход значения помечен буквой (a, b, c и т.д.) и соответствует заполнителю в строке форматирования (например, `{a}`, `{b}`, `{c}`). Вы можете добавлять или удалять входы значений по мере необходимости.
+
+## Выходы
+
+| Имя выхода | Тип данных | Описание |
+|------------|------------|----------|
+| `STRING` | STRING | Отформатированная текстовая строка, в которой все заполнители заменены соответствующими значениями. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/tr.md b/comfyui_embedded_docs/docs/StringFormat/tr.md
new file mode 100644
index 000000000..9f490f67e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/tr.md
@@ -0,0 +1,23 @@
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/tr.md)
+
+## Genel Bakış
+
+Bu düğüm, Python'un string format yöntemini kullanarak metin biçimlendirir. Yer tutucularla bir metin kalıbı tanımladığınız ve ardından bu yer tutucuları doldurmak için değerler sağladığınız bir şablon gibi çalışır. Python'un tüm format seçeneklerini ve özelliklerini destekler.
+
+## Girdiler
+
+| Parametre | Veri Türü | Zorunlu | Aralık | Açıklama |
+|-----------|-----------|---------|--------|----------|
+| `f_string` | STRING | Evet | Yok | Yer tutucuları içeren format dizesi şablonu (varsayılan: `{a}`). Çok satırlı girişi destekler. |
+| `values` | STRING | Evet | Yok | Format dizesindeki yer tutucuları doldurmak için değerler sağlayan dinamik giriş. Gerektiğinde birden fazla değer girişi eklenebilir. |
+
+**`values` girişi hakkında not:** Bu giriş dinamiktir ve birden fazla adlandırılmış değer içerecek şekilde genişletilebilir. Her değer girişi bir harfle (a, b, c vb.) etiketlenir ve format dizesindeki bir yer tutucuya (örneğin `{a}`, `{b}`, `{c}`) karşılık gelir. Gerektiğinde değer girişleri ekleyebilir veya kaldırabilirsiniz.
+
+## Çıktılar
+
+| Çıktı Adı | Veri Türü | Açıklama |
+|-----------|-----------|----------|
+| `STRING` | STRING | Tüm yer tutucuların karşılık gelen değerlerle değiştirildiği biçimlendirilmiş metin dizesi. |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/zh-TW.md b/comfyui_embedded_docs/docs/StringFormat/zh-TW.md
new file mode 100644
index 000000000..28d7add77
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/zh-TW.md
@@ -0,0 +1,23 @@
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/zh-TW.md)
+
+## 概述
+
+此節點使用 Python 的字串格式化方法來格式化文字。它的運作方式類似於範本，您可以定義一個包含佔位符的文字模式，然後提供值來填入這些佔位符。它支援所有 Python 的格式化選項與功能。
+
+## 輸入
+
+| 參數 | 資料類型 | 必要 | 範圍 | 說明 |
+|-----------|-----------|----------|-------|-------------|
+| `f_string` | STRING | 是 | 無 | 包含佔位符的格式字串範本（預設值：`{a}`）。支援多行輸入。 |
+| `values` | STRING | 是 | 無 | 用於提供值以填入格式字串中佔位符的動態輸入。可依需求新增多個值輸入。 |
+
+**關於 `values` 輸入的說明：** 此輸入為動態輸入，可擴展為包含多個命名值。每個值輸入以字母標記（a、b、c 等），並對應格式字串中的佔位符（例如 `{a}`、`{b}`、`{c}`）。您可以依需求新增或移除值輸入。
+
+## 輸出
+
+| 輸出名稱 | 資料類型 | 說明 |
+|-------------|-----------|-------------|
+| `STRING` | STRING | 所有佔位符已替換為對應值的格式化文字字串。 |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringFormat/zh.md b/comfyui_embedded_docs/docs/StringFormat/zh.md
new file mode 100644
index 000000000..76d1e3c4f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/StringFormat/zh.md
@@ -0,0 +1,23 @@
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/zh.md)
+
+## 概述
+
+此节点使用 Python 的字符串格式化方法对文本进行格式化。它类似于一个模板，您可以定义一个包含占位符的文本模式，然后提供值来填充这些占位符。它支持 Python 的所有格式化选项和功能。
+
+## 输入
+
+| 参数 | 数据类型 | 必填 | 范围 | 描述 |
+|-----------|-----------|----------|-------|-------------|
+| `f_string` | STRING | 是 | 无 | 包含占位符的格式字符串模板（默认值：`{a}`）。支持多行输入。 |
+| `values` | STRING | 是 | 无 | 用于提供值以填充格式字符串中占位符的动态输入。可根据需要添加多个值输入。 |
+
+**关于 `values` 输入的说明：** 此输入是动态的，可以扩展为包含多个命名值。每个值输入都带有一个字母标签（a、b、c 等），并对应格式字符串中的一个占位符（例如 `{a}`、`{b}`、`{c}`）。您可以根据需要添加或删除值输入。
+
+## 输出
+
+| 输出名称 | 数据类型 | 描述 |
+|-------------|-----------|-------------|
+| `STRING` | STRING | 所有占位符已被对应值替换后的格式化文本字符串。 |
+
+---
+**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122`
diff --git a/comfyui_embedded_docs/docs/StringLength/en.md b/comfyui_embedded_docs/docs/StringLength/en.md
index eb731e87f..e51f36d9c 100644
--- a/comfyui_embedded_docs/docs/StringLength/en.md
+++ b/comfyui_embedded_docs/docs/StringLength/en.md
@@ -15,4 +15,4 @@ The StringLength node calculates the number of characters in a text string. It t
| `length` | INT | The total number of characters in the input string, including spaces and special characters. |
---
-**Source fingerprint (SHA-256):** `dd72fac8330002e5e0ef2673ff208de36c6cf31aeec22a1c231495c742df62e3`
+**Source fingerprint (SHA-256):** `bfb0cae513e4bd5c179b3cd0071a71a6ad7d67e71891cf1152f8ff9632e6d217`
diff --git a/comfyui_embedded_docs/docs/StringReplace/en.md b/comfyui_embedded_docs/docs/StringReplace/en.md
index 39b6f00d1..8a3eea97c 100644
--- a/comfyui_embedded_docs/docs/StringReplace/en.md
+++ b/comfyui_embedded_docs/docs/StringReplace/en.md
@@ -17,4 +17,4 @@ The StringReplace node performs text replacement operations on input strings. It
| `output` | STRING | The modified string with all occurrences of the find text replaced by the replace text |
---
-**Source fingerprint (SHA-256):** `72159dba72261efe9df283c1ea3f789651eade923efdaeb108bacc1d0da663f8`
+**Source fingerprint (SHA-256):** `7f384aff132eb6919b58f04163c4611a7b5545e1af9217f9aca60dc416c06d60`
diff --git a/comfyui_embedded_docs/docs/StringSubstring/en.md b/comfyui_embedded_docs/docs/StringSubstring/en.md
index 2aec81140..05a06224d 100644
--- a/comfyui_embedded_docs/docs/StringSubstring/en.md
+++ b/comfyui_embedded_docs/docs/StringSubstring/en.md
@@ -17,4 +17,4 @@ The StringSubstring node extracts a portion of text from a larger string. It tak
| `output` | STRING | The extracted substring from the input text, containing all characters from the `start` position up to (but not including) the `end` position. |
---
-**Source fingerprint (SHA-256):** `962d0b19af88b6c95b5c9d374081ecd55ee8cffbfb638de7ed38e6e378b220c5`
+**Source fingerprint (SHA-256):** `fd3ec23bbfe3a51f5481f1b0fe8b77f66e08469bb2a4bd3e266a7607f014e544`
diff --git a/comfyui_embedded_docs/docs/StringTrim/en.md b/comfyui_embedded_docs/docs/StringTrim/en.md
index 14cc8d56c..0358adf20 100644
--- a/comfyui_embedded_docs/docs/StringTrim/en.md
+++ b/comfyui_embedded_docs/docs/StringTrim/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/en.md)
-The StringTrim node removes whitespace characters from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This is useful for cleaning up text inputs by removing unwanted spaces, tabs, or newline characters.
+The StringTrim node removes whitespace characters (such as spaces, tabs, and newlines) from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This is useful for cleaning up text inputs by removing unwanted whitespace.
## Inputs
@@ -16,4 +16,4 @@ The StringTrim node removes whitespace characters from the beginning, end, or bo
| `output` | STRING | The trimmed text string with whitespace removed according to the selected mode. |
---
-**Source fingerprint (SHA-256):** `29b4da100373585af8a672ccfbd4c0b597705c1d8c176b2f88f3e878c1192460`
+**Source fingerprint (SHA-256):** `b7d0694b752f3017a5f8ee9a6ca1d88260f761576b5960f2cb210e34efb09d18`
diff --git a/comfyui_embedded_docs/docs/StripWhitespace/en.md b/comfyui_embedded_docs/docs/StripWhitespace/en.md
index b9a8ef680..49dab00a0 100644
--- a/comfyui_embedded_docs/docs/StripWhitespace/en.md
+++ b/comfyui_embedded_docs/docs/StripWhitespace/en.md
@@ -2,6 +2,8 @@
This node removes any extra spaces, tabs, or newlines from the beginning and end of a text string. It takes a text input and returns a cleaned version with the leading and trailing whitespace trimmed off.
+**Note: This node is deprecated and superseded by the Trim Text node.**
+
## Inputs
| Parameter | Data Type | Required | Range | Description |
@@ -15,4 +17,4 @@ This node removes any extra spaces, tabs, or newlines from the beginning and end
| `text` | STRING | The processed text with all leading and trailing whitespace characters removed. |
---
-**Source fingerprint (SHA-256):** `5b86f71c842a89fe42119593a8bfd30ea441cd02e35356f431ebfdda8010e58d`
+**Source fingerprint (SHA-256):** `182f01e15050b35cc33de7792886721873daf387a934befbe1ff37cbcd766143`
diff --git a/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md b/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md
index d4b55b76a..30909cb1c 100644
--- a/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md
+++ b/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md
@@ -17,4 +17,4 @@ The T5TokenizerOptions node allows you to configure tokenizer settings for vario
| `output` | CLIP | The modified CLIP model with updated tokenizer options applied to all T5 variants |
---
-**Source fingerprint (SHA-256):** `bc05c714e4006786d0c948ed1de05324257472337397b0aa4ce574d7483929ff`
+**Source fingerprint (SHA-256):** `8fbc016680d83d0b10b07362656296f10ce0c43b20c1d93ab0cfd44dcae284fe`
diff --git a/comfyui_embedded_docs/docs/TCFG/en.md b/comfyui_embedded_docs/docs/TCFG/en.md
index 3117e0a13..df345a5fe 100644
--- a/comfyui_embedded_docs/docs/TCFG/en.md
+++ b/comfyui_embedded_docs/docs/TCFG/en.md
@@ -15,4 +15,4 @@ TCFG (Tangential Damping CFG) refines the unconditional (negative) predictions t
| `patched_model` | MODEL | The modified model with tangential damping CFG applied |
---
-**Source fingerprint (SHA-256):** `de6b4deb8a42f05dff90e393bff1e0b4b8ed58887586ca81c236e1a780be5776`
+**Source fingerprint (SHA-256):** `6e0e1df09bdc29f14a4828ec54fd29f89926b9d8121bc8ba9f95ce066b899e95`
diff --git a/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md b/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md
index 58dde1d9e..6240dab28 100644
--- a/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md
+++ b/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md
@@ -17,4 +17,4 @@ This node applies Temporal Score Rescaling (TSR) to a diffusion model. It modifi
| `patched_model` | MODEL | The input model, now patched with the Temporal Score Rescaling function applied to its sampling process. |
---
-**Source fingerprint (SHA-256):** `2931b42ac93cf50e2c395bacf3128bb43dcc043ab5c8f86d7aabe4d35a44d20a`
+**Source fingerprint (SHA-256):** `c558da8dea80131f705f3217740c4f9df3c9a7a6695e2c089f5798a726730bb8`
diff --git a/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md b/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md
index e8bb6fab2..232551a44 100644
--- a/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md
+++ b/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md
@@ -18,4 +18,4 @@ This node uses the Tencent Hunyuan3D API to automatically analyze a 3D model and
| `FBX` | FILE3DFBX | The processed 3D model, returned as an FBX file. |
---
-**Source fingerprint (SHA-256):** `eae7d0197d4391af1f5f24f120c64f1045649182108affad10b9a00f329310fe`
+**Source fingerprint (SHA-256):** `094ed587f2989312c0eea86105e8c2bdf48a2c626e424eaa07ba528c2e8b4f89`
diff --git a/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md b/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md
index 41cd7482c..e1d845262 100644
--- a/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md
+++ b/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md
@@ -21,4 +21,4 @@ This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You
| `texture_image` | IMAGE | The newly generated texture image for the 3D model. |
---
-**Source fingerprint (SHA-256):** `c8e81fcfc24707746b8d1291d31aff325523cd93a627b896402ce1b5a96c7e87`
+**Source fingerprint (SHA-256):** `e8d3f9fbd49b0e641ed4bb415d6ee6a34018623eb717ac54c0588383f9caed44`
diff --git a/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md b/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md
index c7bf98e69..9717323e2 100644
--- a/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md
@@ -32,4 +32,4 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or mo
| `optional_roughness` | IMAGE | The roughness map for PBR materials. Returns a black image if not available. |
---
-**Source fingerprint (SHA-256):** `56ac9e55bd9bb3a5c7c46c2de1ea06921cf41c0971471f6d0b64166722705e4d`
+**Source fingerprint (SHA-256):** `b4cb268fe3b2f5890e5460d5e69897ccc47e205b05546aea18a85ad15717f12a`
diff --git a/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md b/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md
index a7edfbbc0..536f71822 100644
--- a/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md
@@ -18,4 +18,4 @@ This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model.
| `uv_image` | IMAGE | The generated UV texture image. |
---
-**Source fingerprint (SHA-256):** `16bf094cfc3146e9d302d73862d2080b94c5aa2d575221d3c8316a3cf69fc5e1`
+**Source fingerprint (SHA-256):** `f09167ca1aacf299ff278817a50b6c311b6211fe447cfbe7c3a0ccc481058cf6`
diff --git a/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md b/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md
index 18ca8dbfa..3fc79073c 100644
--- a/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md
@@ -20,4 +20,4 @@ This node performs smart retopology on a 3D model, automatically creating a new,
| `OBJ` | FILE3D | The processed 3D model with optimized topology, returned in OBJ format. |
---
-**Source fingerprint (SHA-256):** `13c2dce5f5fbc46a505d0366d8da1c4e762d3a64d11fae1bcceebd510b273f62`
+**Source fingerprint (SHA-256):** `41f52d3553c2c0773d539d029f21fe405ffac739a5a43d89da1c55c5a4d75e5b`
diff --git a/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md b/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md
index 9f85f058c..f2127393f 100644
--- a/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md
@@ -26,4 +26,4 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text de
| `texture_image` | IMAGE | The texture image extracted from the generated OBJ file, if available. |
---
-**Source fingerprint (SHA-256):** `e35f5165941cc7761639dd72e78141326d37d5e169be9a0e326afcbcdc572b7d`
+**Source fingerprint (SHA-256):** `2e8799d6863a0a7113d22f1637251735a217797679d7a97268910b88d9864e4a`
diff --git a/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md b/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md
index e998b4004..a131d0e24 100644
--- a/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md
+++ b/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md
@@ -18,4 +18,4 @@ The TextEncodeAceStepAudio node processes text inputs for audio conditioning by
| `conditioning` | CONDITIONING | The encoded conditioning data containing processed text tokens with applied lyrics strength |
---
-**Source fingerprint (SHA-256):** `89600133d8b0edaa36958530dacffe812675b595b0d77db702bb7709567cd83d`
+**Source fingerprint (SHA-256):** `79cdc3b7d0728a7fdb771243bc1b30f252cc322892df634584698a8f2c4d1633`
diff --git a/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md b/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md
index 28c95f0e8..77812000e 100644
--- a/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md
+++ b/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md
@@ -29,4 +29,4 @@ The TextEncodeAceStepAudio1.5 node prepares text and audio-related metadata for
| `CONDITIONING` | CONDITIONING | The conditioning data, which contains the encoded text and audio parameters for the AceStepAudio 1.5 model. |
---
-**Source fingerprint (SHA-256):** `df70a55024812d8c77a3b618cbff6d3148a3f3f5fc4d17dd3c4282ce7f3cbc2c`
+**Source fingerprint (SHA-256):** `cf948180c3576cd484593f03e849c04857cfb57a198071123ed44ec7b5067521`
diff --git a/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md b/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md
index 3684f34df..e29f75e35 100644
--- a/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md
@@ -8,7 +8,7 @@ The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video
|-----------|-----------|----------|-------|-------------|
| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding |
| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The visual embeddings from a CLIP vision model that provide image context |
-| `prompt` | STRING | Yes | - | The text description to guide the video generation, supports multiline input and dynamic prompts |
+| `prompt` | STRING | Yes | - | The text description to guide the video generation. Supports multiline input and dynamic prompts. The prompt is formatted using a template that asks the model to describe the video based on the reference image, covering aspects like main content, object details, actions, background, and camera angles. |
| `image_interleave` | INT | Yes | 1-512 | How much the image influences things vs the text prompt. Higher number means more influence from the text prompt. (default: 2) |
## Outputs
@@ -18,4 +18,4 @@ The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video
| `CONDITIONING` | CONDITIONING | The conditioning data that combines text and image information for video generation |
---
-**Source fingerprint (SHA-256):** `ee748bd1fb1733593eb4cb1187c5cc279171163cfbc389f039378d0e366fc231`
+**Source fingerprint (SHA-256):** `ecc190941e8d355bc6e6e4b5b7938d54a79e70a7ff0049157dab30b720605e6a`
diff --git a/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md b/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md
index 4661cefb1..4899597c5 100644
--- a/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md
+++ b/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md
@@ -20,4 +20,4 @@ The TextEncodeQwenImageEdit node processes text prompts and optional images to g
| `CONDITIONING` | CONDITIONING | Conditioning data containing text tokens and optional reference latents for image generation |
---
-**Source fingerprint (SHA-256):** `143af2c93aa56ace3594ecb257cac9dbaef2666665f3fb6dfd7a987cd2ea326f`
+**Source fingerprint (SHA-256):** `7d1f82174d92ee86ca35e14a364e1a703fb9fc1ac9979611bd894a0a639c58a2`
diff --git a/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md b/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md
index f68e24646..0a5f0a52a 100644
--- a/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md
+++ b/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md
@@ -22,4 +22,4 @@ The TextEncodeQwenImageEditPlus node processes text prompts and optional images
| `CONDITIONING` | CONDITIONING | Encoded conditioning data containing text tokens and optional reference latents for image generation |
---
-**Source fingerprint (SHA-256):** `54889d9a3b70e41d623020f3fd5e3c798c72799492c67a9efd99f543c88bb968`
+**Source fingerprint (SHA-256):** `40e0104e1a5fd88afb889948bc43559f99049a91c03c3f9885455b6dbfde343e`
diff --git a/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md b/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md
index e8cce0497..308dd3a5b 100644
--- a/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md
+++ b/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md
@@ -24,4 +24,4 @@ The TextEncodeZImageOmni node is an advanced conditioning node that encodes a te
| `CONDITIONING` | CONDITIONING | The final conditioning output, which contains the encoded text prompt and may include encoded image embeddings and/or reference latents if images were provided. |
---
-**Source fingerprint (SHA-256):** `daa4205acdf72503180eeedb4142708d239d4ff0f689012a298264ae2d8ea949`
+**Source fingerprint (SHA-256):** `5edda1e70c2189c164fbde427999e74bfa21f4401feb7067e483802ca1c2df31`
diff --git a/comfyui_embedded_docs/docs/TextGenerate/en.md b/comfyui_embedded_docs/docs/TextGenerate/en.md
index dac7b7e87..98a618e27 100644
--- a/comfyui_embedded_docs/docs/TextGenerate/en.md
+++ b/comfyui_embedded_docs/docs/TextGenerate/en.md
@@ -32,4 +32,4 @@ The TextGenerate node uses a CLIP model to create text based on a user's prompt.
| `generated_text` | STRING | The text generated by the model based on the input prompt and optional image, video, or audio. |
---
-**Source fingerprint (SHA-256):** `dc6868bd7ebb63c485a4346113834f845416d7359759b2d428525398bdedf343`
+**Source fingerprint (SHA-256):** `d2d08577e4d5aeea60f5517377730c4917df607be32f29227b07b1011b0f2c2d`
diff --git a/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md b/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md
index 3fac8fbeb..7184aee02 100644
--- a/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md
+++ b/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md
@@ -16,7 +16,7 @@ The TextGenerateLTX2Prompt node is a specialized version of a text generation no
| `video` | VIDEO | No | | An optional video input that can be used as additional context for generation. |
| `audio` | AUDIO | No | | An optional audio input that can be used as additional context for generation. |
-**Note:** The behavior of the node changes based on the presence of the `image` input. If an image is provided, the generated prompt will be formatted for an image-to-video task. If no image is provided, the formatting will be for a text-to-video task.
+**Note:** The behavior of the node changes based on the presence of the `image` input. If an image is provided, the generated prompt will be formatted for an image-to-video task using a system prompt that describes how to expand the prompt based on the image's content. If no image is provided, the formatting will be for a text-to-video task using a system prompt that expands the prompt into a detailed video generation description.
## Outputs
@@ -25,4 +25,4 @@ The TextGenerateLTX2Prompt node is a specialized version of a text generation no
| `output` | STRING | The enhanced or completed text string generated by the language model. |
---
-**Source fingerprint (SHA-256):** `a3daa0a376a53b9c5613238092cc1289d4c358c7c74b12a6e311681de550d1f8`
+**Source fingerprint (SHA-256):** `c037e526efab4b4e8eeeb84b4374d33a295996632b9897259806502ca32f48e1`
diff --git a/comfyui_embedded_docs/docs/TextToLowercase/en.md b/comfyui_embedded_docs/docs/TextToLowercase/en.md
index b991db47e..2ef0ed4a1 100644
--- a/comfyui_embedded_docs/docs/TextToLowercase/en.md
+++ b/comfyui_embedded_docs/docs/TextToLowercase/en.md
@@ -2,6 +2,8 @@
The Text to Lowercase node takes a text string as input and converts all of its characters to lowercase. It is a simple utility for standardizing text case.
+> **Note:** This node is deprecated and superseded by the Convert Text Case node.
+
## Inputs
| Parameter | Data Type | Required | Range | Description |
@@ -15,4 +17,4 @@ The Text to Lowercase node takes a text string as input and converts all of its
| `text` | STRING | The input text with all characters converted to lowercase. |
---
-**Source fingerprint (SHA-256):** `840f5092d5c7c42f9e481614c276af1aac68a6323e41a0d57625f0d162c3a8ff`
+**Source fingerprint (SHA-256):** `7ebafc952672510cbadf4549d37c5566bef474b8d1d159af4086cde64bcad849`
diff --git a/comfyui_embedded_docs/docs/TextToUppercase/en.md b/comfyui_embedded_docs/docs/TextToUppercase/en.md
index ca14f2c7f..828c95c40 100644
--- a/comfyui_embedded_docs/docs/TextToUppercase/en.md
+++ b/comfyui_embedded_docs/docs/TextToUppercase/en.md
@@ -2,6 +2,8 @@
The Text to Uppercase node takes a text input and converts all of its characters to uppercase. It is a simple text processing utility that modifies the case of the provided string.
+**Note:** This node is deprecated and superseded by the Convert Text Case node.
+
## Inputs
| Parameter | Data Type | Required | Range | Description |
@@ -15,4 +17,4 @@ The Text to Uppercase node takes a text input and converts all of its characters
| `text` | STRING | The resulting text with all characters converted to uppercase. |
---
-**Source fingerprint (SHA-256):** `180fa62fcd9171e1dafc140b175647e4b6eaaf9fc3dc39b183ae7cdb7de56543`
+**Source fingerprint (SHA-256):** `b1d8c05aceda4dfd95400b40fdf01b16dccaa4e093e62d298b12753bfc0278a2`
diff --git a/comfyui_embedded_docs/docs/ThresholdMask/en.md b/comfyui_embedded_docs/docs/ThresholdMask/en.md
index 92dd36c4a..cf626b265 100644
--- a/comfyui_embedded_docs/docs/ThresholdMask/en.md
+++ b/comfyui_embedded_docs/docs/ThresholdMask/en.md
@@ -16,4 +16,4 @@ The ThresholdMask node converts a mask to a binary mask by applying a threshold
| `mask` | MASK | The resulting binary mask after thresholding |
---
-**Source fingerprint (SHA-256):** `5c61433c05ef8106d928306b64035078e7598605512f20aaf992255f7b166456`
+**Source fingerprint (SHA-256):** `eff4479b70c1ca87ba9ba17b771edf5d816cf13c12ac0767cd7ee79d18e326c3`
diff --git a/comfyui_embedded_docs/docs/TomePatchModel/en.md b/comfyui_embedded_docs/docs/TomePatchModel/en.md
index 06a881c09..ad9796e67 100644
--- a/comfyui_embedded_docs/docs/TomePatchModel/en.md
+++ b/comfyui_embedded_docs/docs/TomePatchModel/en.md
@@ -7,7 +7,7 @@ The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to red
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `model` | MODEL | Yes | - | The diffusion model to apply token merging to |
-| `ratio` | FLOAT | No | 0.0 - 1.0 | The ratio of tokens to merge (default: 0.3) |
+| `ratio` | FLOAT | Yes | 0.0 - 1.0 | The ratio of tokens to merge (default: 0.3). Higher values merge more tokens, resulting in greater speedup but potentially lower quality. |
## Outputs
@@ -16,4 +16,4 @@ The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to red
| `model` | MODEL | The modified model with token merging applied |
---
-**Source fingerprint (SHA-256):** `23d63ffa1b468a8a41533cc926125f4ef566b13edd1d95a6ef1ae63096a9d878`
+**Source fingerprint (SHA-256):** `f2549a504397ee2ba96a0fa5ad5c3e69da2cd0996087af439d151f1f33f4a51e`
diff --git a/comfyui_embedded_docs/docs/TopazImageEnhance/en.md b/comfyui_embedded_docs/docs/TopazImageEnhance/en.md
index eff6d9d8d..c7482f71c 100644
--- a/comfyui_embedded_docs/docs/TopazImageEnhance/en.md
+++ b/comfyui_embedded_docs/docs/TopazImageEnhance/en.md
@@ -29,4 +29,4 @@ The Topaz Image Enhance node provides industry-standard upscaling and image enha
| `image` | IMAGE | The enhanced output image. |
---
-**Source fingerprint (SHA-256):** `69f2c929f2cd11f13557e064e30a4514e3862e127a2bdb3a3f40ec92023f255d`
+**Source fingerprint (SHA-256):** `c569f4873f5e008f62ccae9a93ef40fe79554c003e7e52c5ac91241b0d08978a`
diff --git a/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md b/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md
index 9adaa30d3..b4473e621 100644
--- a/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md
+++ b/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md
@@ -28,4 +28,4 @@ The Topaz Video Enhance node uses an external API to improve video quality. It c
| `video` | VIDEO | The enhanced output video file. |
---
-**Source fingerprint (SHA-256):** `70e1a6e0d7bd250f58c43beefe070fd83af19d11ac08cb9a6ac9655a9bfa839f`
+**Source fingerprint (SHA-256):** `ef2d1e62c0000f4d9a99014317db2f1c4e0b8a77334024cf614ec0376058a2f7`
diff --git a/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md b/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md
index e0b09be55..03462cc0b 100644
--- a/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md
+++ b/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md
@@ -12,7 +12,7 @@ The **Topaz Video Enhance V2** node allows you to upscale and enhance video usin
| `upscaler_model` | COMBO | Yes | `"Astra 2"` `"Starlight (Astra) Fast"` `"Starlight (Astra) Creative"` `"Starlight Precise 2.5"` `"Disabled"` | The AI model used for upscaling the video. Selecting "Disabled" means no upscaling will be applied. |
| `upscaler_model.upscaler_resolution` | COMBO | Conditional | `"FullHD (1080p)"` `"4K (2160p)"` | The target output resolution for the upscaler. This parameter is required when an upscaler model is selected (not "Disabled"). |
| `upscaler_model.creativity` | FLOAT / COMBO | Conditional | Astra 2: 0.0 to 1.0 (step 0.1) Starlight Creative: `"low"` `"middle"` `"high"` | Creative strength of the upscale. Available only for "Astra 2" and "Starlight (Astra) Creative" models. For Astra 2, it's a slider (default: 0.5). For Starlight Creative, it's a combo (default: "low"). |
-| `upscaler_model.prompt` | STRING | No | - | Optional descriptive (not instructive) scene prompt. Only available for the "Astra 2" model. Capped at 500 input frames (~15s @ 30fps) when set. Default: empty. |
+| `upscaler_model.prompt` | STRING | No | - | Optional descriptive (not instructive) scene prompt. Only available for the "Astra 2" model. Capped at 450 input frames (~15s @ 30fps) when set. Default: empty. |
| `upscaler_model.sharp` | FLOAT | No | 0.0 to 1.0 (step 0.01) | Pre-enhance sharpness: 0.0=Gaussian blur, 0.5=passthrough (default), 1.0=USM sharpening. Only available for the "Astra 2" model. Default: 0.5. |
| `upscaler_model.realism` | FLOAT | No | 0.0 to 1.0 (step 0.01) | Pulls output toward photographic realism. Leave at 0 for the model default. Only available for the "Astra 2" model. Default: 0.0. |
| `interpolation_model` | COMBO | Yes | `"Disabled"` `"apo-8"` | The AI model used for frame interpolation. Selecting "Disabled" means no interpolation will be applied. |
@@ -25,7 +25,7 @@ The **Topaz Video Enhance V2** node allows you to upscale and enhance video usin
**Important Constraints:**
- At least one of `upscaler_model` or `interpolation_model` must be enabled (not "Disabled"), otherwise an error is raised.
- The input video must be in MP4 container format.
-- The "Astra 2" model with a prompt is limited to 500 input frames (~15 seconds at 30fps). Without a prompt, it is limited to a higher number of frames.
+- The "Astra 2" model with a prompt is limited to 450 input frames (~15 seconds at 30fps). Without a prompt, it is limited to 9000 input frames.
- When `upscaler_model` is not "Disabled", the `upscaler_resolution` sub-parameter is required.
- When `interpolation_model` is not "Disabled", the `interpolation_frame_rate` sub-parameter is required.
@@ -36,4 +36,4 @@ The **Topaz Video Enhance V2** node allows you to upscale and enhance video usin
| `video` | VIDEO | The enhanced video output after applying the selected upscaling and/or interpolation filters. |
---
-**Source fingerprint (SHA-256):** `29b7538206327c35866126c1862c1d1ccea872ba84fbb9c84126114a06e2b00f`
+**Source fingerprint (SHA-256):** `3b3df144ecd7de6e0c141cffa30fc7b303e0edc991e714c2f0aaf0e4be903166`
diff --git a/comfyui_embedded_docs/docs/TorchCompileModel/en.md b/comfyui_embedded_docs/docs/TorchCompileModel/en.md
index 58f5e276e..e96325055 100644
--- a/comfyui_embedded_docs/docs/TorchCompileModel/en.md
+++ b/comfyui_embedded_docs/docs/TorchCompileModel/en.md
@@ -16,4 +16,4 @@ The TorchCompileModel node applies PyTorch compilation to a model to optimize it
| `model` | MODEL | The compiled model with PyTorch compilation applied |
---
-**Source fingerprint (SHA-256):** `923e71b528e6e53468916f74c2a02924bf51738f29e36638312c6da6357fcedb`
+**Source fingerprint (SHA-256):** `240c6eb84ce2b93fe4d7c04fcf69df571e662f17893a4fd8e721241ea082edc8`
diff --git a/comfyui_embedded_docs/docs/TrainLoraNode/en.md b/comfyui_embedded_docs/docs/TrainLoraNode/en.md
index a29f8b331..bd76e1d0a 100644
--- a/comfyui_embedded_docs/docs/TrainLoraNode/en.md
+++ b/comfyui_embedded_docs/docs/TrainLoraNode/en.md
@@ -45,4 +45,4 @@ The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a dif
| `steps` | INT | The total number of training steps completed (including any previous steps from existing LoRA). |
---
-**Source fingerprint (SHA-256):** `df315ef416ff3ce81e6a526af2c4e5115980e6c35830825967e7189d4f8541d8`
+**Source fingerprint (SHA-256):** `e145145306330099293c8b4bb344ec0a38de690040bd796b84225f54638900c3`
diff --git a/comfyui_embedded_docs/docs/TrimAudioDuration/en.md b/comfyui_embedded_docs/docs/TrimAudioDuration/en.md
index 5745f64bd..e69ef0a97 100644
--- a/comfyui_embedded_docs/docs/TrimAudioDuration/en.md
+++ b/comfyui_embedded_docs/docs/TrimAudioDuration/en.md
@@ -10,7 +10,7 @@ The TrimAudioDuration node allows you to cut a specific time segment from an aud
| `start_index` | FLOAT | Yes | -0xffffffffffffffff to 0xffffffffffffffff | Start time in seconds, can be negative to count from the end (supports sub-seconds). Default: 0.0 |
| `duration` | FLOAT | Yes | 0.0 to 0xffffffffffffffff | Duration in seconds. Default: 60.0 |
-**Note:** The start time must be less than the end time and within the audio length. Negative start values count backwards from the end of the audio. If the start time is negative, it is converted to a frame position counting from the end of the audio. The start and end frames are clamped to the audio boundaries.
+**Note:** The start time must be less than the end time and within the audio length. Negative start values count backwards from the end of the audio. If the start time is negative, it is converted to a frame position counting from the end of the audio. The start and end frames are clamped to the audio boundaries. If the start time equals or exceeds the end time, the node will raise an error.
## Outputs
@@ -19,4 +19,4 @@ The TrimAudioDuration node allows you to cut a specific time segment from an aud
| `audio` | AUDIO | The trimmed audio segment with the specified start time and duration |
---
-**Source fingerprint (SHA-256):** `695a9fe11fa086a317f94823e066688705e9f911cd6cfc5857596ff31dd539ed`
+**Source fingerprint (SHA-256):** `4f8c9f966fec8c1d1a1a2bb531014fe7460d61abbafdc367adb667a5044752ef`
diff --git a/comfyui_embedded_docs/docs/TrimVideoLatent/en.md b/comfyui_embedded_docs/docs/TrimVideoLatent/en.md
index b8d6d9f1a..16728d2c3 100644
--- a/comfyui_embedded_docs/docs/TrimVideoLatent/en.md
+++ b/comfyui_embedded_docs/docs/TrimVideoLatent/en.md
@@ -16,4 +16,4 @@ The TrimVideoLatent node removes frames from the beginning of a video latent rep
| `output` | LATENT | The trimmed latent video representation with the specified number of frames removed from the beginning |
---
-**Source fingerprint (SHA-256):** `7fd482533d1f63219565a3a25776173c77c419fbf5086015d42136f5bfdfbed2`
+**Source fingerprint (SHA-256):** `176aa42bb489ff6326057c79ff4dcd27543b96d3212e30af77eeeccd77d3926b`
diff --git a/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md b/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md
index b5c76622a..92d760e8f 100644
--- a/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md
+++ b/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md
@@ -19,4 +19,4 @@ The TripleCLIPLoader node loads three different text encoder models simultaneous
| `CLIP` | CLIP | A combined CLIP model containing all three loaded text encoders |
---
-**Source fingerprint (SHA-256):** `7a9e61090d9d3b0a776d49006dddece08bc4b463b2acd0a9a0f808170ebde348`
+**Source fingerprint (SHA-256):** `565ab519e46b9661705768b14f565f297002f4e6fe95c7725c4f742734e8d1c1`
diff --git a/comfyui_embedded_docs/docs/TripoConversionNode/en.md b/comfyui_embedded_docs/docs/TripoConversionNode/en.md
index 675fd6cb2..591d25151 100644
--- a/comfyui_embedded_docs/docs/TripoConversionNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoConversionNode/en.md
@@ -35,4 +35,4 @@ The TripoConversionNode converts 3D models between different file formats using
| *No named outputs* | - | This node processes the conversion asynchronously and returns the result through the Tripo API system |
---
-**Source fingerprint (SHA-256):** `b11ecab98701b7153a350f5e4980ddc2f446c0a12be3402ca98a5e6de60bd7ce`
+**Source fingerprint (SHA-256):** `7542fd7ee2307b06e5caa78ce427140fbcb56e8ea383ce327828040330ea1b01`
diff --git a/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md b/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md
index 542f2f85c..2455191a5 100644
--- a/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md
@@ -7,18 +7,18 @@ Generates 3D models synchronously based on a single image using Tripo's API. Thi
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `image` | IMAGE | Yes | - | Input image used to generate the 3D model |
-| `model_version` | COMBO | No | Multiple options available | The version of the Tripo model to use for generation |
-| `style` | COMBO | No | Multiple options available | Style setting for the generated model (default: "None") |
+| `model_version` | COMBO | No | `"v1.4"` `"v3.0"` `"v3.5"` `"v3.6"` | The model version to use for generation |
+| `style` | COMBO | No | `"None"` `"realistic"` `"cartoon"` `"sculpture"` `"low_poly"` | Style setting for the generated model (default: "None") |
| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) |
| `pbr` | BOOLEAN | No | - | Whether to use Physically Based Rendering (default: True) |
| `model_seed` | INT | No | - | Random seed for model generation (default: 42) |
-| `orientation` | COMBO | No | Multiple options available | Orientation setting for the generated model |
+| `orientation` | COMBO | No | `"default"` `"front"` `"back"` `"left"` `"right"` `"top"` `"bottom"` | Orientation setting for the generated model (default: "default") |
| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) |
-| `texture_quality` | COMBO | No | "standard" "detailed" | Quality level for texture generation (default: "standard") |
-| `texture_alignment` | COMBO | No | "original_image" "geometry" | Alignment method for texture mapping (default: "original_image") |
+| `texture_quality` | COMBO | No | `"standard"` `"detailed"` | Quality level for texture generation (default: "standard") |
+| `texture_alignment` | COMBO | No | `"original_image"` `"geometry"` | Alignment method for texture mapping (default: "original_image") |
| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) |
| `quad` | BOOLEAN | No | - | Whether to use quadrilateral faces instead of triangles (default: False) |
-| `geometry_quality` | COMBO | No | "standard" "detailed" | Quality level for geometry generation (default: "standard") |
+| `geometry_quality` | COMBO | No | `"standard"` `"detailed"` | Quality level for geometry generation (default: "standard") |
**Note:** The `image` parameter is required and must be provided for the node to function. If no image is provided, the node will raise a RuntimeError.
@@ -31,4 +31,4 @@ Generates 3D models synchronously based on a single image using Tripo's API. Thi
| `GLB` | FILE3DGLB | The generated 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `1342de2f9788fac504fa0cfa248d011c04a8874307bb26dac86a7ced43a2809e`
+**Source fingerprint (SHA-256):** `f12bae7cc766b7ac208243a10970da7719a13d6283d6b6c39444b577cafc7f04`
diff --git a/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md b/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md
index a001cccd0..dcc853d05 100644
--- a/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md
@@ -33,4 +33,4 @@ This node generates 3D models synchronously using Tripo's API by processing up t
| `GLB` | FILE3DGLB | The generated 3D model file in GLB format |
---
-**Source fingerprint (SHA-256):** `4ad433f4a0060d0ac2ce14463497db3168a1bf3348f17b98e958409e9a63baaf`
+**Source fingerprint (SHA-256):** `f44a39bd15dfd6111be191de81490136280491930ec0aa7159849f137479b089`
diff --git a/comfyui_embedded_docs/docs/TripoRefineNode/en.md b/comfyui_embedded_docs/docs/TripoRefineNode/en.md
index 0606cfa7b..257a884f8 100644
--- a/comfyui_embedded_docs/docs/TripoRefineNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoRefineNode/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md)
-The TripoRefineNode refines draft 3D models created specifically by v1.4 Tripo models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models.
+The TripoRefineNode refines draft 3D models created specifically by Tripo v1.4 models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models.
## Inputs
@@ -19,4 +19,4 @@ The TripoRefineNode refines draft 3D models created specifically by v1.4 Tripo m
| `GLB` | FILE3DGLB | The refined 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `136093c7cdd7eb33b55e862f4b8c0554de7bde656a7e0139efb63323ad041c32`
+**Source fingerprint (SHA-256):** `bb4b17652fd05c489e6151f23461fa79ae090f3b59491775768b32ca2b61d33c`
diff --git a/comfyui_embedded_docs/docs/TripoRetargetNode/en.md b/comfyui_embedded_docs/docs/TripoRetargetNode/en.md
index d521c1b33..f5e0e6667 100644
--- a/comfyui_embedded_docs/docs/TripoRetargetNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoRetargetNode/en.md
@@ -21,4 +21,4 @@ The TripoRetargetNode applies predefined animations to 3D character models by re
| `GLB` | FILE3DGLB | The animated 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `304326afdc1fa3e8c3593f151f771f93520e061802c831838c58ebc401b9e9e2`
+**Source fingerprint (SHA-256):** `31d90c0a11a6a57fbc55f2c3b8e0e8e73943f048734e5f2d68711bf000730e0b`
diff --git a/comfyui_embedded_docs/docs/TripoRigNode/en.md b/comfyui_embedded_docs/docs/TripoRigNode/en.md
index 9e52ff83e..b4cf3e651 100644
--- a/comfyui_embedded_docs/docs/TripoRigNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoRigNode/en.md
@@ -7,9 +7,6 @@ The TripoRigNode generates a rigged 3D model from an original model task ID. It
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `original_model_task_id` | MODEL_TASK_ID | Yes | - | The task ID of the original 3D model to be rigged |
-| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access |
-| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service authentication |
-| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation |
## Outputs
@@ -20,4 +17,4 @@ The TripoRigNode generates a rigged 3D model from an original model task ID. It
| `GLB` | FILE3DGLB | The generated rigged 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `621a4d08f3b8a349c3afff3dbf888b20d524eb3337685769b7a7badcb28986e4`
+**Source fingerprint (SHA-256):** `c00053314112cf1a403d7bf1cf77dcb6cede6b4db83046d459069f2b57bb6de9`
diff --git a/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md b/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md
index 2fa5c0650..4ca3ffce8 100644
--- a/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md
@@ -8,17 +8,17 @@ Generates 3D models synchronously based on a text prompt using Tripo's API. This
|-----------|-----------|----------|-------|-------------|
| `prompt` | STRING | Yes | - | Text description for generating the 3D model (multiline input) |
| `negative_prompt` | STRING | No | - | Text description of what to avoid in the generated model (multiline input) |
-| `model_version` | COMBO | No | Multiple options available | The version of the Tripo model to use for generation (default: v2.5-20250123) |
-| `style` | COMBO | No | Multiple options available | Style setting for the generated model (default: "None") |
+| `model_version` | COMBO | No | `v1.4` `v2.0` `v2.5-20250123` `v3.0` | The version of the Tripo model to use for generation (default: v2.5-20250123) |
+| `style` | COMBO | No | `None` `sculpture` `low-poly` `voxel` `brick` `clay` `marble` `origami` `papercraft` `pixel-art` `tile` `cartoon` `fantasy` `hand-drawn` `illustration` `isometric` `pixel-art` `sketch` `stained-glass` `steampunk` `vector` `watercolor` | Style setting for the generated model (default: "None") |
| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) |
| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) |
| `image_seed` | INT | No | - | Random seed for image generation (default: 42) |
| `model_seed` | INT | No | - | Random seed for model generation (default: 42) |
| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) |
-| `texture_quality` | COMBO | No | "standard" "detailed" | Quality level for texture generation (default: "standard") |
+| `texture_quality` | COMBO | No | `standard` `detailed` | Quality level for texture generation (default: "standard") |
| `face_limit` | INT | No | -1 to 2000000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) |
| `quad` | BOOLEAN | No | - | Whether to generate quad-based geometry instead of triangles (default: False) |
-| `geometry_quality` | COMBO | No | "standard" "detailed" | Quality level for geometry generation (default: "standard") |
+| `geometry_quality` | COMBO | No | `standard` `detailed` | Quality level for geometry generation (default: "standard") |
**Note:** The `prompt` parameter is required and cannot be empty. If no prompt is provided, the node will raise an error.
@@ -31,4 +31,4 @@ Generates 3D models synchronously based on a text prompt using Tripo's API. This
| `GLB` | FILE3DGLB | The generated 3D model in GLB format |
---
-**Source fingerprint (SHA-256):** `f73316e0a50adfb6fe22ca6a20a2a5b36a6597abf0f4ddae9183d9e4a45cb46d`
+**Source fingerprint (SHA-256):** `6cd6fefff0fbda14729b68383209eded6eb2e779ccf39dd2e03c0ddf04859372`
diff --git a/comfyui_embedded_docs/docs/TripoTextureNode/en.md b/comfyui_embedded_docs/docs/TripoTextureNode/en.md
index 0043918cb..dec378b7f 100644
--- a/comfyui_embedded_docs/docs/TripoTextureNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoTextureNode/en.md
@@ -24,4 +24,4 @@ The TripoTextureNode generates textured 3D models using the Tripo API. It takes
| `GLB` | FILE3DGLB | The generated 3D model in GLB format with applied textures |
---
-**Source fingerprint (SHA-256):** `6d2a6ff7bbbe9fa91f63c6c7d237799044d2f9aa5afe7b90b99cf9e5a21afc32`
+**Source fingerprint (SHA-256):** `dca49933b1b892df38004adc34ab0d95cdcb32d3e38db0e66b260ab7a58dcea5`
diff --git a/comfyui_embedded_docs/docs/TruncateText/en.md b/comfyui_embedded_docs/docs/TruncateText/en.md
index 916a861c5..294025686 100644
--- a/comfyui_embedded_docs/docs/TruncateText/en.md
+++ b/comfyui_embedded_docs/docs/TruncateText/en.md
@@ -16,4 +16,4 @@ This node shortens text by cutting it off at a specified maximum length. It take
| `string` | STRING | The truncated text, containing only the first `max_length` characters from the input. |
---
-**Source fingerprint (SHA-256):** `271a77a910967c4fd86a07485449679fb8db89f6b3f2bf0a8fa2ff224ea2f7b2`
+**Source fingerprint (SHA-256):** `b23c92af425be8f7b15d793bbe7f321cab6f7f3137a995bb9724948ae00145e4`
diff --git a/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md b/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md
index c73414b1d..3b9709d16 100644
--- a/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md
+++ b/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md
@@ -19,4 +19,4 @@ The UNetCrossAttentionMultiply node applies multiplication factors to the cross-
| `model` | MODEL | The modified UNet model with scaled cross-attention components |
---
-**Source fingerprint (SHA-256):** `2623858c11e93ab5952194670c9e4ea74bba4e2ea32089540665eea361dc1491`
+**Source fingerprint (SHA-256):** `f55a6809be88bfb32fa2c70fabd0e5bb7360be78670c9473d4a79517b811454e`
diff --git a/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md b/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md
index 471ddfd14..13761e360 100644
--- a/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md
+++ b/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md
@@ -19,4 +19,4 @@ The UNetSelfAttentionMultiply node applies multiplication factors to the query,
| `MODEL` | MODEL | The modified UNet model with scaled attention components |
---
-**Source fingerprint (SHA-256):** `ee6328c6cba44d30d2e219a2af04bb3d3d9adeaabb959a46f87b3b299dfe2f43`
+**Source fingerprint (SHA-256):** `7a6039eb2faae56437a5eb6fe01be6d38e53c0632175a3405a1e24a476d4da82`
diff --git a/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md b/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md
index 097fe2dcf..11b21e172 100644
--- a/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md
+++ b/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md
@@ -19,4 +19,4 @@ The UNetTemporalAttentionMultiply node applies multiplication factors to differe
| `model` | MODEL | The modified model with adjusted attention weights |
---
-**Source fingerprint (SHA-256):** `98d62fb28a0cdf62154ae4e0b672b3a7bcb9ed61186a164a43992263c1f9439a`
+**Source fingerprint (SHA-256):** `b43c7c51cbc71349dd267c4abe1704899a394e205a60a13b45869f690d83a0f0`
diff --git a/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md b/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md
index 5d20cb7cd..3892b09f2 100644
--- a/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md
+++ b/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md)
-The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct the original audio, applying normalization to ensure consistent output levels. The resulting audio is returned with a standard sample rate of 44100 Hz.
+The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct the original audio, applying normalization to ensure consistent output levels. The resulting audio is returned with a standard sample rate of 44100 Hz, or the sample rate from the input samples if provided.
## Inputs
@@ -13,7 +13,7 @@ The VAEDecodeAudio node converts latent representations back into audio waveform
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `AUDIO` | AUDIO | The decoded audio waveform with normalized volume and 44100 Hz sample rate |
+| `AUDIO` | AUDIO | The decoded audio waveform with normalized volume and sample rate (default: 44100 Hz, or the sample rate from the input `samples` if present) |
---
-**Source fingerprint (SHA-256):** `15848d3763324cbae986949146d57352c68369713cd99a27d216797560836824`
+**Source fingerprint (SHA-256):** `4736b987361bf16ad9c5db1a9f8593646fd7ffb37267aed4396285a2a0e6c1cc`
diff --git a/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md b/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md
index 3403450fd..7b4796c0d 100644
--- a/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md
+++ b/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md
@@ -18,4 +18,4 @@ This node converts a compressed audio representation (latent samples) back into
| `output` | AUDIO | The decoded audio waveform. |
---
-**Source fingerprint (SHA-256):** `d989f0cd0e4b4bf992d6860e27c25b8e814df52763c82909a61c58f418306352`
+**Source fingerprint (SHA-256):** `d846ec48856b8a1415101b8db06b5dd38b5d1222c117ea4f170daf3347ed1685`
diff --git a/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md b/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md
index 62921a1db..21ef62baf 100644
--- a/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md
+++ b/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md
@@ -18,4 +18,4 @@ The VAEDecodeHunyuan3D node converts latent representations into 3D voxel data u
| `voxels` | VOXEL | The generated 3D voxel data from the decoded latent representation |
---
-**Source fingerprint (SHA-256):** `a53ad8e14a2ffca6278866753046d5959f057a4c3fdba5623b37545cee27d557`
+**Source fingerprint (SHA-256):** `04818af007257ec0c73873dba703465960e7adae8a9b22649e118116c388da56`
diff --git a/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md b/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md
index e46ed86e4..47bf34f62 100644
--- a/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md
+++ b/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md
@@ -9,7 +9,7 @@ The VAEEncodeAudio node converts audio data into a latent representation using a
| `audio` | AUDIO | Yes | - | The audio data to encode, containing waveform and sample rate information |
| `vae` | VAE | Yes | - | The Variational Autoencoder model used to encode the audio into latent space |
-**Note:** The audio input is automatically resampled to match the VAE's expected sample rate (default: 44100 Hz) if the original sample rate differs from this value.
+**Note:** The audio input is automatically resampled to match the VAE's expected sample rate (default: 44100 Hz) if the original sample rate differs from this value. If the input audio is None (e.g., the source video has no audio track), the node will raise an error.
## Outputs
@@ -18,4 +18,4 @@ The VAEEncodeAudio node converts audio data into a latent representation using a
| `LATENT` | LATENT | The encoded audio representation in latent space, containing compressed samples |
---
-**Source fingerprint (SHA-256):** `db509ab571154c4cedbfc6cae6591bd2b67b2c6e2261766565cdb0205b2c2ecc`
+**Source fingerprint (SHA-256):** `5c65a853a121a557a5342d337c27e2ea3acff48e6b911bdaf27c89d4c7dc01b6`
diff --git a/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md b/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md
index d42c68241..cc2d24b64 100644
--- a/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md
+++ b/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md
@@ -25,4 +25,4 @@ The VOIDInpaintConditioning node prepares the conditioning data needed for inpai
| `latent` | LATENT | A zero-filled noise latent tensor with shape [batch_size, 16, latent_t, latent_h, latent_w] |
---
-**Source fingerprint (SHA-256):** `a1fe36376d7930286c7a288f261dcf2961d6b13cc412d1a0d42af8a4f9ebeeaf`
+**Source fingerprint (SHA-256):** `47c40f8bb7527bc28178f3ad78e7bfb579e07d42efd0398d5760335c6b5b3c44`
diff --git a/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md b/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md
index 1bf36a6c1..14f01db21 100644
--- a/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md
+++ b/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md
@@ -18,4 +18,4 @@ The VOIDQuadmaskPreprocess node prepares a mask for VOID inpainting by convertin
| `quadmask` | MASK | The preprocessed quadmask with values in [0, 1], representing four discrete levels: 1.0 (primary object to remove), ~0.75 (overlap of primary and affected), ~0.50 (affected region), and 0.0 (background to keep). |
---
-**Source fingerprint (SHA-256):** `12dc5ab215b80d81289942457ce2ddffcb9ec41fc738a53ca5fbf1e9181ed439`
+**Source fingerprint (SHA-256):** `a972ff74686baaa3a3659a74517d3b6f7335e8f62d09be9329d0e71d1fad137a`
diff --git a/comfyui_embedded_docs/docs/VOIDSampler/en.md b/comfyui_embedded_docs/docs/VOIDSampler/en.md
index 82009f898..7554ca1c1 100644
--- a/comfyui_embedded_docs/docs/VOIDSampler/en.md
+++ b/comfyui_embedded_docs/docs/VOIDSampler/en.md
@@ -19,4 +19,4 @@ This node has no configurable input parameters. It is a self-contained sampler t
| `SAMPLER` | SAMPLER | A sampler object implementing the VOID DDIM algorithm, ready to be connected to SamplerCustom or SamplerCustomAdvanced nodes. |
---
-**Source fingerprint (SHA-256):** `c6f1be9a90003906c54cced20e8136ab7e4f7e7118e63b67ce366eeb7f790dca`
+**Source fingerprint (SHA-256):** `ca30211dc30975a1c6447afd3f6dcdb29d59d31effabe9b7fed5b90ee1cab540`
diff --git a/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md b/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md
index 9c7b8ef13..f34809c88 100644
--- a/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md
+++ b/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md
@@ -8,7 +8,7 @@ Generates temporally-correlated noise for the second pass of the VOID video refi
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `optical_flow` | MODEL | Yes | - | Optical flow model from OpticalFlowLoader (RAFT-large). |
+| `optical_flow` | OPTICAL_FLOW | Yes | - | Optical flow model from OpticalFlowLoader (RAFT-large). |
| `video` | IMAGE | Yes | - | Pass 1 output video frames [T, H, W, 3]. |
| `width` | INT | Yes | 16 to MAX_RESOLUTION (step 8) | Width of the output latent (default: 672). |
| `height` | INT | Yes | 16 to MAX_RESOLUTION (step 8) | Height of the output latent (default: 384). |
@@ -24,4 +24,4 @@ Generates temporally-correlated noise for the second pass of the VOID video refi
| `warped_noise` | LATENT | A 5D tensor (B, C, T, H, W) containing optical-flow warped Gaussian noise, ready for use as the initial latent in VOID Pass 2. |
---
-**Source fingerprint (SHA-256):** `a0f986e54bcc6c455220f89f5d840585a9eae081e522ea11e0ce37ab46821bd9`
+**Source fingerprint (SHA-256):** `fa7f08bd5e050324d1d9681243e82d66b1613b8694a5b69a5949b39974c6bddb`
diff --git a/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md b/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md
index 54976e6b8..4e39d792b 100644
--- a/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md
+++ b/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md
@@ -17,4 +17,4 @@ This node converts a LATENT (such as the output from the VOIDWarpedNoise node) i
| `NOISE` | NOISE | A noise source that can be used with SamplerCustomAdvanced |
---
-**Source fingerprint (SHA-256):** `ff798d223da5cf705a40ad1f36cc403030105331d0cc4173e9553cd3718c5d93`
+**Source fingerprint (SHA-256):** `9b1eeb2df7fc0bcf0649ff2d2425938eae5fbc44ecc0f5d1678b7e227b3a098f`
diff --git a/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md
index 484768d63..a8c45fb8d 100644
--- a/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md
@@ -10,7 +10,7 @@ The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based o
| `negative_prompt` | STRING | No | N/A | Negative text prompt to guide what to avoid in the video (default: empty string). |
| `resolution` | COMBO | Yes | `"720p"` `"1080p"` `"4k"` | The resolution of the output video. |
| `aspect_ratio` | COMBO | No | `"16:9"` `"9:16"` | Aspect ratio of the output video (default: "16:9"). |
-| `duration` | INT | No | 4 to 8 | Duration of the output video in seconds (default: 8). |
+| `duration` | INT | No | 4 to 8 | Duration of the output video in seconds (default: 8, step: 2). |
| `seed` | INT | No | 0 to 4294967295 | Seed for video generation (default: 0). |
| `first_frame` | IMAGE | Yes | N/A | The start frame for the video. |
| `last_frame` | IMAGE | Yes | N/A | The end frame for the video. |
@@ -26,4 +26,4 @@ The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based o
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `b486b22e71a305172700760bb3eff256b0e571bba75e68f27e23a1e1a1319b5a`
+**Source fingerprint (SHA-256):** `63d2cf6b636bff6e8bc4efc8b795cb63f6cd775e040323e290986266029109b3`
diff --git a/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md b/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md
index 090fc1d87..8f37013d6 100644
--- a/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md
+++ b/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md
@@ -18,7 +18,7 @@ Generates videos from text prompts using Google's Veo 3 API. This node supports
| `model` | COMBO | No | "veo-3.1-generate" "veo-3.1-fast-generate" "veo-3.1-lite" "veo-3.0-generate-001" "veo-3.0-fast-generate-001" | Veo 3 model to use for video generation (default: "veo-3.0-generate-001") |
| `generate_audio` | BOOLEAN | No | - | Generate audio for the video. Supported by all Veo 3 models. (default: False) |
-**Note:** The `enhance_prompt` parameter is deprecated and its value is ignored. The node always enhances the prompt internally. Additionally, the `resolution` parameter is only applied when using a veo-3.1 model; it is ignored for veo-3.0 models.
+**Note:** The `enhance_prompt` parameter is deprecated and its value is ignored. The node always enhances the prompt internally. Additionally, the `resolution` parameter is only applied when using a veo-3.1 model; it is ignored for veo-3.0 models. If you select "4k" resolution with a veo-3.1-lite or veo-3.0 model, the node will raise an error.
## Outputs
@@ -27,4 +27,4 @@ Generates videos from text prompts using Google's Veo 3 API. This node supports
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `36ea9d3f0ea717eb7b8146ca35dfdfbe538fbbf164541ee1d1b19b660543e375`
+**Source fingerprint (SHA-256):** `d19071ba853a846c797bc88d4a803357563f144ea9071fc79fc4203ea40f1a81`
diff --git a/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md b/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md
index 2480fd77f..b73dd61cc 100644
--- a/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md
+++ b/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md)
-Generates videos from text prompts using Google's Veo 2 API. This node can create videos from text descriptions and optional image inputs, with control over parameters like aspect ratio, duration, and more.
+Generates videos from text prompts using Google's Veo API. This node can create videos from text descriptions and optional image inputs, with control over parameters like aspect ratio, duration, and more.
## Inputs
@@ -14,9 +14,9 @@ Generates videos from text prompts using Google's Veo 2 API. This node can creat
| `person_generation` | COMBO | No | "ALLOW" "BLOCK" | Whether to allow generating people in the video (default: "ALLOW"). This is an advanced parameter. |
| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0). This is an advanced parameter. |
| `image` | IMAGE | No | - | Optional reference image to guide video generation |
-| `model` | COMBO | No | "veo-2.0-generate-001" | Veo 2 model to use for video generation (default: "veo-2.0-generate-001") |
+| `model` | COMBO | No | "veo-2.0-generate-001" "veo-3.1-generate" "veo-3.1-fast-generate" "veo-3.1-lite" "veo-3.0-generate-001" "veo-3.0-fast-generate-001" | Veo model to use for video generation (default: "veo-2.0-generate-001") |
-**Note:** The `generate_audio` parameter is only available for Veo 3.0 models and is automatically handled by the node based on the selected model. When using Veo 3.0 models, the `enhance_prompt` parameter is forced to True.
+**Note:** The `generate_audio` parameter is only available for Veo 3.0 and Veo 3.1 models and is automatically handled by the node based on the selected model. When using Veo 3.0 or Veo 3.1 models, the `enhance_prompt` parameter is forced to True.
## Outputs
@@ -25,4 +25,4 @@ Generates videos from text prompts using Google's Veo 2 API. This node can creat
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `1a8b8ffe82fce32566815248f4a2434a1b865b5e5651935ccb3b92c7e38adee9`
+**Source fingerprint (SHA-256):** `abb403ceddb16511988e4ac98ae126c7d6de3bf2f25789189fc05d72f475ca95`
diff --git a/comfyui_embedded_docs/docs/Video Slice/en.md b/comfyui_embedded_docs/docs/Video Slice/en.md
index aad17f2c5..d15db7f49 100644
--- a/comfyui_embedded_docs/docs/Video Slice/en.md
+++ b/comfyui_embedded_docs/docs/Video Slice/en.md
@@ -18,4 +18,4 @@ The Video Slice node allows you to extract a specific segment from a video. You
| `video` | VIDEO | The trimmed video segment. |
---
-**Source fingerprint (SHA-256):** `5e3e3e69931a25183eb01b7b87ec12cbf9f5a748781993dcbeec7a6d5f7260c1`
+**Source fingerprint (SHA-256):** `077fadd65af9d546155d2bbb736148ce2c87810a16a76d9259b38f1b6ab6a1a3`
diff --git a/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md b/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md
index 15d53c1c5..102f8c329 100644
--- a/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md
+++ b/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md
@@ -16,4 +16,4 @@ The VideoTriangleCFGGuidance node applies a triangular classifier-free guidance
| `model` | MODEL | The modified model with triangular CFG guidance applied |
---
-**Source fingerprint (SHA-256):** `0b854d78f32e265b1a4322cb11b231df33e6072611142537e0c8cff4e93db49a`
+**Source fingerprint (SHA-256):** `10b3ad8dcfe5e44f131b2e943e6645899102f406501418906cfe06ac2d21d433`
diff --git a/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md
index bd71d7d36..185fc85b7 100644
--- a/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md
@@ -27,4 +27,4 @@ The Vidu2 Image-to-Video Generation node creates a video sequence starting from
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `204f8d2b9edf17c2c180480f98a852718416a54725d92e5fec574b8517ada398`
+**Source fingerprint (SHA-256):** `5311b64380bf089b846d5ac0c32330e021b79754cf2f3cac41f71ca1da3ffdda`
diff --git a/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md
index 8dac46d37..4072bc262 100644
--- a/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md
@@ -13,8 +13,8 @@ The Vidu2 Reference-to-Video Generation node creates a video from a text prompt
| `duration` | INT | No | 1 to 10 | The length of the generated video in seconds (default: `5`). |
| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation for reproducible results (default: `1`). |
| `aspect_ratio` | COMBO | No | `"16:9"` `"9:16"` `"4:3"` `"3:4"` `"1:1"` | The shape of the video frame. |
-| `resolution` | COMBO | No | `"720p"` `"1080p"` | The pixel resolution of the output video. |
-| `movement_amplitude` | COMBO | No | `"auto"` `"small"` `"medium"` `"large"` | Controls the movement amplitude of objects in the frame. |
+| `resolution` | COMBO | No | `"720p"` `"1080p"` | The pixel resolution of the output video (default: `"720p"`). |
+| `movement_amplitude` | COMBO | No | `"auto"` `"small"` `"medium"` `"large"` | Controls the movement amplitude of objects in the frame (default: `"auto"`). |
**Constraints:**
@@ -31,4 +31,4 @@ The Vidu2 Reference-to-Video Generation node creates a video from a text prompt
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `3e02b05a0e374442a6ca4ce6a3dbc182b4059e19b5ed7dfc2794e036de7beffd`
+**Source fingerprint (SHA-256):** `73366d1ae9d64428141a7f9de3f9632f12e41918f85771a9a41619564c88ed38`
diff --git a/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md
index 07842256f..5112775f9 100644
--- a/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md
@@ -24,4 +24,4 @@ This node generates a video by interpolating between a provided start frame and
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `0a2a125fcb0a519e3aa98ed846f0c7bdc14644a27aaaab3953d55945f787de2a`
+**Source fingerprint (SHA-256):** `4d4caf53387132c420fe0bb0eea581e6784bdc59243607c6440d6548f70f859b`
diff --git a/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md
index 74fec942f..77f96115b 100644
--- a/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md
@@ -21,4 +21,4 @@ The Vidu2 Text-to-Video Generation node creates a video from a text description.
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `1e9e3629806e9b5a66d8f830d8ec33ef208a7a27b53caf43b44f7b746a85014b`
+**Source fingerprint (SHA-256):** `eec93de5d781474f919001a4d78525d80478852424506fae245f445d1ef3b0ee`
diff --git a/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md
index c28cb6eeb..db7b1e65e 100644
--- a/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md
@@ -23,4 +23,4 @@ The Vidu Q3 Image-to-Video Generation node creates a video sequence starting fro
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `1dd3929860ee4a04b761014fd2cf7e9e32f9171d8b18fe1e93f27d0905ca04ee`
+**Source fingerprint (SHA-256):** `5081dcbad3e9203c7a1b5ddc0d041d51e1961a2e0a0672c2e14cba2f839f562d`
diff --git a/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md
index a78261eab..8592b1f6a 100644
--- a/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md
@@ -24,4 +24,4 @@ This node generates a video by interpolating between a provided start frame and
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `4a0a8d6657702d80278dc9239370683f408d7c051e91e8396939b7b81b87b4ed`
+**Source fingerprint (SHA-256):** `a3a1befd61a011ccc9912972d07506c2e851ca94cda3f83fcc1faa8a1dc3905c`
diff --git a/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md
index 51be6331b..10dbf6dca 100644
--- a/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md
@@ -23,4 +23,4 @@ The Vidu Q3 Text-to-Video Generation node creates a video from a text descriptio
| `video` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `a98b6c3093d659a5a4344c2c495063acf47a7922bf7d1fc851c3b8d8c0c87c5e`
+**Source fingerprint (SHA-256):** `d135d453159d113f9198b7510838c5ce5feefbf3cb7b318a55df95e6d26aa7a9`
diff --git a/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md b/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md
index d541fe3f9..5ad4aa6b6 100644
--- a/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md
@@ -23,4 +23,4 @@ The ViduExtendVideoNode generates additional frames to extend the length of an e
| `output` | VIDEO | The newly generated video file containing the extended footage. |
---
-**Source fingerprint (SHA-256):** `44b942413c8aed2fc0049386a31c441f6f870ba4220b0c439dfc436079229446`
+**Source fingerprint (SHA-256):** `067eda95bf7738fec1b68fb496b6309dab5f56c57ab4d7d92a3a5e50239c17c8`
diff --git a/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md b/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md
index cd3bf39e2..facc46996 100644
--- a/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md
@@ -26,4 +26,4 @@ The Vidu Image To Video Generation node creates a short video from a starting im
| `output` | VIDEO | The generated video output |
---
-**Source fingerprint (SHA-256):** `064b3efba8219770595e68a6607a6f8113d1be7c9f3863a4740ee5c3a146d91e`
+**Source fingerprint (SHA-256):** `2364ee527cbc37905e973ae1870499040eea4ed94ab8ed789d3c85af857f5488`
diff --git a/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md b/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md
index a04d9ab97..53db45d22 100644
--- a/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md
@@ -26,4 +26,4 @@ When you select a value for `frames` (e.g., "3"), the node will show a correspon
| `output` | VIDEO | The generated video file containing all the animated transitions. |
---
-**Source fingerprint (SHA-256):** `02ddbb1e041b6d9e6654ab6c3cc25f4c2e5bc1545d84a30624608edc85e51f96`
+**Source fingerprint (SHA-256):** `06c3236589dd6067c5dd0a430e062686adb3e878542f8382e022a3fafe81507b`
diff --git a/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md b/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md
index 9cd4525d6..da541c6d8 100644
--- a/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md
@@ -11,7 +11,7 @@ The Vidu Reference Video Node generates videos from multiple reference images an
| `prompt` | STRING | Yes | - | A textual description for video generation |
| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) |
| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) |
-| `aspect_ratio` | COMBO | No | `"16:9"` `"9:16"` `"1:1"` | The aspect ratio of the output video (default: "16:9") |
+| `aspect_ratio` | COMBO | No | `"16:9"` `"9:16"` `"1:1"` | The aspect ratio of the output video |
| `resolution` | COMBO | No | `"1080p"` | Supported values may vary by model & duration (default: "1080p") |
| `movement_amplitude` | COMBO | No | `"auto"` `"small"` `"medium"` `"large"` | The movement amplitude of objects in the frame (default: "auto") |
@@ -30,4 +30,4 @@ The Vidu Reference Video Node generates videos from multiple reference images an
| `output` | VIDEO | The generated video based on the reference images and prompt |
---
-**Source fingerprint (SHA-256):** `11a7de2f50658467f63d284ef6b95d91dcdd39b4e6e5cea3b8d2f2a5d63a3020`
+**Source fingerprint (SHA-256):** `ac86287d93257105446a5af42efd7d7fc07738fb7fcd0b260b8049a98552f193`
diff --git a/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md b/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md
index 976d5a48c..2974c35fd 100644
--- a/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md
@@ -24,4 +24,4 @@ The Vidu Start End To Video Generation node creates a video by generating frames
| `output` | VIDEO | The generated video file |
---
-**Source fingerprint (SHA-256):** `d859d67b3ff73977b95e3903b461509f933f9652fedc016e1cd362f6bef1b8dc`
+**Source fingerprint (SHA-256):** `bffb4d3e90b1c6a1a3a7cc864a44ab96bac0be90411be791f9ffb15b9a50c6b6`
diff --git a/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md b/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md
index 28c93576e..796e70a45 100644
--- a/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md
@@ -23,4 +23,4 @@ The Vidu Text To Video Generation node creates videos from text descriptions. It
| `output` | VIDEO | The generated video based on the text prompt |
---
-**Source fingerprint (SHA-256):** `0d331d3eab8a4af9c90831f3f8fd8ae34aa0c393142cb6f89404edc94024d95f`
+**Source fingerprint (SHA-256):** `33ca2a60d7914e7b9ab65fbf166e1ba5388d53134cd56ef59acdcbfada5f999d`
diff --git a/comfyui_embedded_docs/docs/VoxelToMesh/en.md b/comfyui_embedded_docs/docs/VoxelToMesh/en.md
index cf4aab588..eea0f1430 100644
--- a/comfyui_embedded_docs/docs/VoxelToMesh/en.md
+++ b/comfyui_embedded_docs/docs/VoxelToMesh/en.md
@@ -1,19 +1,20 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/en.md)
-The VoxelToMeshBasic node converts 3D voxel data into a mesh geometry by extracting a surface at a specified threshold value. It processes each voxel grid in the input and generates vertices and faces that form a 3D mesh representation.
+The VoxelToMesh node converts 3D voxel data into a mesh geometry by extracting a surface at a specified threshold value. It offers two algorithms for surface extraction: a basic method that creates simple box-like faces, and a surface net method that produces smoother, more detailed meshes. The node processes each voxel grid in the input and generates vertices and faces that form a 3D mesh representation.
## Inputs
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `voxel` | VOXEL | Yes | - | The input voxel data to convert to mesh geometry |
-| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value for surface extraction (default: 0.6) |
+| `algorithm` | COMBO | Yes | `"surface net"` `"basic"` | The algorithm used for surface extraction. "surface net" produces smoother meshes, while "basic" creates simple box-like faces (default: "surface net") |
+| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value for surface extraction. Voxels with values above this threshold are considered solid (default: 0.6) |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `MESH` | MESH | The generated 3D mesh containing stacked vertices and faces from all input voxel grids |
+| `MESH` | MESH | The generated 3D mesh containing vertices and faces from all input voxel grids. If all voxel grids produce meshes with identical shapes, the output is a stacked tensor; otherwise, a variable-length batch is returned |
---
-**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c`
+**Source fingerprint (SHA-256):** `b600be13f1a484d8c0cc1f9c3918630d00c15d35008bcac0f677b21ef64b5d98`
diff --git a/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md b/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md
index f7aae496d..329d38057 100644
--- a/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md
+++ b/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md
@@ -16,4 +16,4 @@ The VoxelToMeshBasic node converts 3D voxel data into mesh geometry. It processe
| `MESH` | MESH | The generated 3D mesh containing vertices and faces |
---
-**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c`
+**Source fingerprint (SHA-256):** `95d729463e9d32fb0b8a82a397c6ed7fccaf190ec8a183d71a99fef170747fd1`
diff --git a/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md b/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md
index 7fafbcc3b..0518e9d12 100644
--- a/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md
+++ b/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md
@@ -27,4 +27,4 @@ The Wan22FunControlToVideo node prepares conditioning and latent representations
| `latent` | LATENT | Empty latent tensor with appropriate dimensions for video generation based on batch size, latent channels, and spatial/temporal scaling |
---
-**Source fingerprint (SHA-256):** `8b24058f06aa9f779371a402c41cffc95d13ad0131d23d1438067d77755c73e2`
+**Source fingerprint (SHA-256):** `3cc49969226d304e73ec924ccce902c7ae1eee819b4274ad4ffa10e67a4ea211`
diff --git a/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md b/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md
index 545336aca..02b98f3af 100644
--- a/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md
+++ b/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md
@@ -23,4 +23,4 @@ The Wan22ImageToVideoLatent node creates video latent representations from image
| `noise_mask` | LATENT | The noise mask indicating which regions should be denoised during generation |
---
-**Source fingerprint (SHA-256):** `0f27e20bcc63f0dd224cda0fa26ee676c42898ac74fcfbe0a2b591def933689c`
+**Source fingerprint (SHA-256):** `d12982594b1e38e7db26630fe3d5bde84bcd540e95abb6ce50cac196ea953901`
diff --git a/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md b/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md
index e38839e2d..196ba83d3 100644
--- a/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md
@@ -27,4 +27,4 @@ The Wan 2.7 Image to Video node generates a video starting from a first-frame im
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `ccd18dca3b191f2cbe64b6c2b941a7efcf281e4f327329d932cec27fd8234133`
+**Source fingerprint (SHA-256):** `db5e4e26a407c71e2b79179d32cdad926db5af16461f2aa565eab544295df7ff`
diff --git a/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md b/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md
index e02e42c1c..b04bc1440 100644
--- a/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md
@@ -28,4 +28,4 @@ This node generates a video featuring a person or object based on provided refer
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `f28a765e310410fc62241e11dbfe25562c7ae16e8e6ffbfb004face7a7e2b727`
+**Source fingerprint (SHA-256):** `83550e1193a13c3686506a279c0a8469be93be564dd27867e31b8b2724e7025d`
diff --git a/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md b/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md
index 03727ce24..a19cf4913 100644
--- a/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md
@@ -26,4 +26,4 @@ This node generates a video from a text description using the Wan 2.7 model. It
| `output` | VIDEO | The generated video file. |
---
-**Source fingerprint (SHA-256):** `ce8a2f4e53b2bce879f143c66f6078fd81c6308e2822cb486b1cf8e178a6f58c`
+**Source fingerprint (SHA-256):** `1eb775421209047ad06ffc210c6588c64fd39a8828a69d6fcc2b79360df311e3`
diff --git a/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md b/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md
index 7638a7fee..c1bb8dc8b 100644
--- a/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md
@@ -26,4 +26,4 @@ The Wan 2.7 Video Continuation node generates a new video segment that continues
| `output` | VIDEO | The generated video continuation. |
---
-**Source fingerprint (SHA-256):** `5e9d2c7800603660f5f994d125e1e32f2b310234c4b6a24d502c764d91be49e8`
+**Source fingerprint (SHA-256):** `44f71824f1289351fe44ff0f830ee391d2387146444f50ba50309ecba2e54456`
diff --git a/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md b/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md
index 6deac3109..02f70a12d 100644
--- a/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md
@@ -29,4 +29,4 @@ The Wan2VideoEditApi node uses the Wan 2.7 model to edit a video based on text i
| `output` | VIDEO | The edited video generated by the model. |
---
-**Source fingerprint (SHA-256):** `d2dd65d743358c6a357e75076774e93c52c39893fbb376da2f4395446f440a20`
+**Source fingerprint (SHA-256):** `1ea6cacbf8f5b6666e164c4806d931d21ddd44568e5c9f6d44f389288f5ce84f`
diff --git a/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md b/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md
index 80a33b193..01658c8e0 100644
--- a/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md
@@ -46,4 +46,4 @@ The WanAnimateToVideo node generates video content by combining multiple conditi
| `video_frame_offset` | INT | Updated frame offset for continuing video generation in chunks, calculated as the previous offset plus the generated length |
---
-**Source fingerprint (SHA-256):** `c2ca90f4963f629d51cdd7f4bdb67e01c32ce5ca7d916b1f992ccd220f57566c`
+**Source fingerprint (SHA-256):** `2ec2afbc57f58a5b7ce0ecc3730618633d435439ce2d650b18be531c1edddff0`
diff --git a/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md b/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md
index 4fe829fd1..f31506f2c 100644
--- a/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md
+++ b/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md
@@ -26,4 +26,4 @@ The WanCameraEmbedding node generates camera trajectory embeddings using Plücke
| `length` | INT | The length value that was used for processing |
---
-**Source fingerprint (SHA-256):** `422c4a1fdfb6fd403afac26a609f80cbdbaa87f2c115068de9d7a33c756e71fd`
+**Source fingerprint (SHA-256):** `9c13c4504ca58b7623f106eaf07ceb2aef7739a9b9ce24e321445078b1f953c9`
diff --git a/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md b/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md
index c77185a79..73ee46cb1 100644
--- a/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md
@@ -1,6 +1,6 @@
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md)
-The WanCameraImageToVideo node converts images to video sequences by generating latent representations for video generation. It processes conditioning inputs and optional starting images to create video latents that can be used with video models. The node supports camera conditions and clip vision outputs for enhanced video generation control.
+The WanCameraImageToVideo node prepares conditioning and latent data for video generation from images. It takes positive and negative conditioning prompts, along with optional starting images and camera controls, and outputs modified conditioning and an empty latent tensor ready for a video model to fill in.
## Inputs
@@ -23,9 +23,9 @@ The WanCameraImageToVideo node converts images to video sequences by generating
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `positive` | CONDITIONING | Modified positive conditioning with applied camera conditions and clip vision outputs |
-| `negative` | CONDITIONING | Modified negative conditioning with applied camera conditions and clip vision outputs |
-| `latent` | LATENT | Generated video latent representation for use with video models. The latent tensor has dimensions [batch_size, 16, frames, height/8, width/8] where frames is calculated as ((length - 1) // 4) + 1. |
+| `positive` | CONDITIONING | Modified positive conditioning with applied camera conditions, clip vision outputs, and/or starting image data |
+| `negative` | CONDITIONING | Modified negative conditioning with applied camera conditions, clip vision outputs, and/or starting image data |
+| `latent` | LATENT | Generated empty video latent representation for use with video models. The latent tensor has dimensions [batch_size, 16, frames, height/8, width/8] where frames is calculated as ((length - 1) // 4) + 1. |
---
-**Source fingerprint (SHA-256):** `19d76097d580b14663afd0aab58810f9dc1685cd32e8f67aa43c820be65239e7`
+**Source fingerprint (SHA-256):** `e2309b40f78d5a2487242f1684f82d9e4dd8405ef256615f82da2f701418fd4a`
diff --git a/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md b/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md
index b4044699e..e8f3c7733 100644
--- a/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md
+++ b/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md
@@ -24,4 +24,4 @@ The WAN Context Windows (Manual) node allows you to manually configure context w
| `model` | MODEL | The model with the applied context window configuration. |
---
-**Source fingerprint (SHA-256):** `33e539f1e6647a6a2bc98fadc357a25279b0900746f5b3d568e2782cdb770258`
+**Source fingerprint (SHA-256):** `941a12b45162fd97c21e071e8170ba7047487c0f312f20dac572ef1bc751c64d`
diff --git a/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md b/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md
index 2d0f0b4a6..66aee6670 100644
--- a/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md
+++ b/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md
@@ -20,4 +20,4 @@ This node processes an audio input to extract features that can be used to guide
| `fps_string` | STRING | A text string describing the calculated frame rate (fps) based on the audio length and the number of video frames. This string is intended to be used in the prompt for the video model. |
---
-**Source fingerprint (SHA-256):** `ef230c92b23a04369708041b2e5d03c1b2928edf746dc43020bae777f9f0b589`
+**Source fingerprint (SHA-256):** `1318323b202ca26c920a860534062dc7f20e3b10d13eb9825a890e26b5fde731`
diff --git a/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md b/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md
index 5c2a0655c..58aedf161 100644
--- a/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md
+++ b/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md
@@ -22,4 +22,4 @@ This node prepares a sequence of keyframes for a specific segment of a longer vi
| `audio_segment` | AUDIO | Audio segment for this video segment. |
---
-**Source fingerprint (SHA-256):** `5a104b45faaa870727d4c45e6327e7233110b40dc5a13515a29e5f14de2050e0`
+**Source fingerprint (SHA-256):** `93393e39cb1968b6e8720dfad213c16c534857bcfafcc577be64e0733ab3a760`
diff --git a/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md b/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md
index 210068b9b..f5dd0e111 100644
--- a/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md
+++ b/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md
@@ -22,4 +22,4 @@ This node takes a sequence of images and an optional audio track, and splits the
| `audio_segment` | AUDIO | A list of audio segments, one for each video segment. |
---
-**Source fingerprint (SHA-256):** `c6a3ddca3fd61fcdb287fecb6969796eebd65e70f1174abdab57912586d27d00`
+**Source fingerprint (SHA-256):** `f9918166a75f688f1de6a09008780bc629bbdfb3b8d547de9ba8661ef07fc97e`
diff --git a/comfyui_embedded_docs/docs/WanDancerVideo/en.md b/comfyui_embedded_docs/docs/WanDancerVideo/en.md
index 277ca2ebf..a09926dc0 100644
--- a/comfyui_embedded_docs/docs/WanDancerVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanDancerVideo/en.md
@@ -32,4 +32,4 @@ The WanDancerVideo node prepares conditioning data and an empty latent tensor fo
| `latent` | LATENT | An empty latent tensor with dimensions matching the specified video length, height, and width. |
---
-**Source fingerprint (SHA-256):** `7ab1b4662eb8d780295ea3a3e3139c64d81e03a979a293a481f82deaf1fc2f7e`
+**Source fingerprint (SHA-256):** `0a75b24c8e5c164d81b08eb438862d94d4409ece8dc22c126979347e2350c828`
diff --git a/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md b/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md
index 1f7a5fab6..175da2bee 100644
--- a/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md
@@ -29,4 +29,4 @@ The WanFirstLastFrameToVideo node creates video conditioning by combining start
| `latent` | LATENT | Empty latent tensor with dimensions matching the specified video parameters |
---
-**Source fingerprint (SHA-256):** `8cfca692fc4975bb5238ce749d2102fad4b6cd84e96ef74c3eff2b297ee60c3c`
+**Source fingerprint (SHA-256):** `c9017cbed8d90e0c22a27c035784396fe1fa1551d586e2ec148e0621228162c0`
diff --git a/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md b/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md
index 101c0a0f7..f3528f12f 100644
--- a/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md
@@ -26,4 +26,4 @@ The WanFunInpaintToVideo node creates video sequences by inpainting between star
| `latent` | LATENT | Generated video latent representation |
---
-**Source fingerprint (SHA-256):** `bbc5c2614f5fc21877345b3f01686ea57bee5108cdb253fb5dbf4b2cce9e59dd`
+**Source fingerprint (SHA-256):** `16926439268e3748418f1a7c1e9a295ddb1ebc5fcb0ad4914fc8e3215a7950dc`
diff --git a/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md b/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md
index 07655ed66..86a084968 100644
--- a/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md
@@ -27,4 +27,4 @@ The WanHuMoImageToVideo node converts images to video sequences by generating la
| `latent` | LATENT | Generated latent representation containing the video sequence data |
---
-**Source fingerprint (SHA-256):** `6301671d04748ce80c561a65df80c7ca146b91bcce8851872df40211af29fd39`
+**Source fingerprint (SHA-256):** `4d28fe2617f25e72745d34bf2ec19aec2df6e89ad49eabe086ad045690f42d1f`
diff --git a/comfyui_embedded_docs/docs/WanImageToImageApi/en.md b/comfyui_embedded_docs/docs/WanImageToImageApi/en.md
index 24f4dc639..d47bf358e 100644
--- a/comfyui_embedded_docs/docs/WanImageToImageApi/en.md
+++ b/comfyui_embedded_docs/docs/WanImageToImageApi/en.md
@@ -22,4 +22,4 @@ The Wan Image to Image node generates an image from one or two input images and
| `image` | IMAGE | The generated image based on the input images and text prompts. |
---
-**Source fingerprint (SHA-256):** `d69811ddaba718e5468f539fb9b25827efdf79f3ee9cbf31ad8f9387cea9b9be`
+**Source fingerprint (SHA-256):** `c9afd38e3df8c080f489c4b569ea647eab5718fa78d95c65e294706344bb8067`
diff --git a/comfyui_embedded_docs/docs/WanImageToVideo/en.md b/comfyui_embedded_docs/docs/WanImageToVideo/en.md
index 7c6db4dcd..c398b678e 100644
--- a/comfyui_embedded_docs/docs/WanImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanImageToVideo/en.md
@@ -14,9 +14,9 @@ The WanImageToVideo node prepares conditioning and latent representations for vi
| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) |
| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate in a batch (default: 1) |
| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning |
-| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation |
+| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation. When provided, the image is resized to match the specified width and height, and the first frames of the video are initialized from this image. The remaining frames are filled with neutral gray (0.5) values. |
-**Note:** When `start_image` is provided, the node encodes the image sequence and applies masking to the conditioning inputs. The `clip_vision_output` parameter, when provided, adds vision-based conditioning to both positive and negative inputs.
+**Note:** When `start_image` is provided, the node encodes the image sequence using the VAE and applies a mask to the conditioning inputs. The mask covers all frames except those initialized by the starting image, allowing the generation to build upon the provided image. The `clip_vision_output` parameter, when provided, adds vision-based conditioning to both positive and negative inputs.
## Outputs
@@ -24,7 +24,7 @@ The WanImageToVideo node prepares conditioning and latent representations for vi
|-------------|-----------|-------------|
| `positive` | CONDITIONING | Modified positive conditioning with image and vision data incorporated |
| `negative` | CONDITIONING | Modified negative conditioning with image and vision data incorporated |
-| `latent` | LATENT | Empty latent space tensor ready for video generation |
+| `latent` | LATENT | Empty latent space tensor ready for video generation, with shape [batch_size, 16, ((length-1)//4)+1, height//8, width//8] |
---
-**Source fingerprint (SHA-256):** `e9f4350c43e48351523c04d82675c24f868df7b2109530c32b8e752a3ab61e8b`
+**Source fingerprint (SHA-256):** `9cac4f27f5ec2e0d5247fab78acb00a68eb6317dd747d6f6f46b065240f64a8b`
diff --git a/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md b/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md
index a92f15a50..32b70a3f1 100644
--- a/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md
@@ -33,4 +33,4 @@ The Wan Image to Video node generates a video from a single input image and a te
| `output` | VIDEO | Generated video based on the input image and prompt. |
---
-**Source fingerprint (SHA-256):** `ad4947dbb9c12ebb97ace99cd447431ba6db88a3b74239099fcbea501cff71f0`
+**Source fingerprint (SHA-256):** `b8a75e324f7436e8a376e4a058b0a32556cafbe8e7975148cbc6302638f52058`
diff --git a/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md b/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md
index f8409b88e..10fa54a06 100644
--- a/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md
@@ -43,4 +43,4 @@ The WanInfiniteTalkToVideo node generates video sequences from audio input. It u
| `trim_image` | INT | The number of frames from the start of the motion context that should be trimmed when extending a sequence. |
---
-**Source fingerprint (SHA-256):** `6bb976da5cac0b61edb7d4c9d206c7c7ea9ffc0e982034c23c7f2e891e972888`
+**Source fingerprint (SHA-256):** `1ef125235ce5adb09972737d0e2863255315c536da718c7af230de1b4a7f53e2`
diff --git a/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md b/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md
index 296bf49a5..7a38578f1 100644
--- a/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md
+++ b/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md
@@ -16,4 +16,4 @@ The WanMoveConcatTrack node combines two sets of motion tracking data into a sin
| `tracks` | TRACKS | The concatenated motion tracking data, containing the combined `track_path` and `track_visibility` from the inputs. |
---
-**Source fingerprint (SHA-256):** `d9b4c00291c6fa8e17bf54ecdcd16f7f6874159fe8cebebe66568dc2a744868f`
+**Source fingerprint (SHA-256):** `96741eecf48ce534fa2deac8a6f62c1374a7cdc4c0b6263ce9b4d757861fc338`
diff --git a/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md b/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md
index afba55e69..61f91f9b7 100644
--- a/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md
@@ -29,4 +29,4 @@ The WanMoveTrackToVideo node prepares conditioning and latent space data for vid
| `latent` | LATENT | An empty latent tensor with dimensions shaped by the `batch_size`, `length`, `height`, and `width` inputs. |
---
-**Source fingerprint (SHA-256):** `9677addf5b94b42efd3015f51380c1fa9b16d4a5105cc7f24de0be34c0042bbc`
+**Source fingerprint (SHA-256):** `9dc861c3616a3d92c9dc647e1d227bc1f94d5c74c58eed41ffa8d28b445c9160`
diff --git a/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md b/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md
index 0c6ec7a19..0461bdf91 100644
--- a/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md
+++ b/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md
@@ -19,4 +19,4 @@ The WanMoveTracksFromCoords node creates motion tracks from a JSON-formatted str
| `track_length` | INT | The total number of frames in the generated tracks. |
---
-**Source fingerprint (SHA-256):** `106b05b3bdb5ede6e31216b9f3c14160630df0eee1f4e8a645c2b6cf9fbecf8c`
+**Source fingerprint (SHA-256):** `2c02b7bfc51951d8b5d24e9f19d64cdf0eab7b4f1a3436b63e9baf1765417193`
diff --git a/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md b/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md
index 57795d4bf..376712857 100644
--- a/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md
+++ b/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md
@@ -22,4 +22,4 @@ The WanMoveVisualizeTracks node overlays motion tracking data onto a sequence of
| `IMAGE` | IMAGE | The sequence of images with the motion tracking data visualized as overlays. If no `tracks` were provided, the original input images are returned. |
---
-**Source fingerprint (SHA-256):** `b32169a8c9d3a2dd74463c81f6bd7d9a4bc66486af156843f32b0874f0eaeb8f`
+**Source fingerprint (SHA-256):** `9912b8cc06a8b4014f73e537d9421be3d8dda3b1a416733f4c0fb0caf8663b6f`
diff --git a/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md b/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md
index 0f661229d..f998bcd6e 100644
--- a/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md
@@ -27,4 +27,4 @@ The WanPhantomSubjectToVideo node generates video content by processing conditio
| `latent` | LATENT | Generated latent video representation with specified dimensions and length |
---
-**Source fingerprint (SHA-256):** `2e3e8277dca9e998220fc5939c2cc72fdc15e80cc4b95daa33f5b92e2270dd73`
+**Source fingerprint (SHA-256):** `9ff1c79f794f96015f099988b5392e3b2e442de3b317c352f2436feb41a1c3ba`
diff --git a/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md b/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md
index be71e9303..06e4c1d63 100644
--- a/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md
@@ -28,4 +28,4 @@ The Wan Reference to Video node uses the visual appearance and voice from one or
| `output` | VIDEO | The newly generated video file. |
---
-**Source fingerprint (SHA-256):** `ed29f0bd3a1b30a81c94896976c4f9ff7bf5d0bcafaba66d70be61fce1418962`
+**Source fingerprint (SHA-256):** `948976c64337299217616d60200ffed7e24cce32655960c525bb068c38cc6406`
diff --git a/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md b/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md
index ac6d90b21..5ff5201b2 100644
--- a/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md
@@ -20,7 +20,7 @@ The WanSCAILToVideo node prepares conditioning and an empty latent space for vid
| `pose_start` | FLOAT | Yes | 0.0 to 1.0 | Start step to use pose conditioning (default: 0.0). |
| `pose_end` | FLOAT | Yes | 0.0 to 1.0 | End step to use pose conditioning (default: 1.0). |
-**Note:** The `pose_video` input is processed only for the first `length` frames. The `reference_image` is processed only for the first image in the batch. When `reference_image` is provided, a zero-filled latent of the same size is used for the negative conditioning. When `clip_vision_output` is provided, it is applied to both positive and negative conditioning.
+**Note:** The `pose_video` input is processed only for the first `length` frames. The `reference_image` is processed only for the first image in the batch. When `reference_image` is provided, a zero-filled latent of the same size is used for the negative conditioning. When `clip_vision_output` is provided, it is applied to both positive and negative conditioning. The `pose_video` is downscaled to half the resolution of the main video before encoding.
## Outputs
@@ -31,4 +31,4 @@ The WanSCAILToVideo node prepares conditioning and an empty latent space for vid
| `latent` | LATENT | An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`. |
---
-**Source fingerprint (SHA-256):** `63de4b6fe41fc23ea81c21965a2dbfc82120bb1bad6785b2130af824e015fbcb`
+**Source fingerprint (SHA-256):** `01c0912474602c33fa0c3e277db90e0eb83edbcea307a860921bab486d267cc8`
diff --git a/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md b/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md
index ad1eb5105..1fd4133c7 100644
--- a/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md
@@ -13,18 +13,18 @@ The WanSoundImageToVideo node generates video content from images with optional
| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, must be divisible by 16) |
| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 77, must be divisible by 4) |
| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) |
-| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding that can influence the video generation based on sound characteristics |
-| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video content |
-| `control_video` | IMAGE | No | - | Optional control video that guides the motion and structure of the generated video |
-| `ref_motion` | IMAGE | No | - | Optional motion reference that provides guidance for movement patterns in the video |
+| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding that can influence the video generation based on sound characteristics. When provided, the audio features are interpolated and used to condition the video generation. |
+| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video content. The image is upscaled to match the specified width and height, then encoded into a latent representation. |
+| `control_video` | IMAGE | No | - | Optional control video that guides the motion and structure of the generated video. The video is upscaled and encoded, then used to condition the output. Only the first `length` frames are used. |
+| `ref_motion` | IMAGE | No | - | Optional motion reference that provides guidance for movement patterns in the video. If the input has more than 73 frames, only the last 73 are used. If fewer than 73 frames are provided, the sequence is padded with neutral frames. |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `positive` | CONDITIONING | Processed positive conditioning that has been modified for video generation |
-| `negative` | CONDITIONING | Processed negative conditioning that has been modified for video generation |
-| `latent` | LATENT | Generated video representation in latent space that can be decoded into final video frames |
+| `positive` | CONDITIONING | Processed positive conditioning that has been modified for video generation, including audio embeddings, reference latents, motion references, and control video conditioning |
+| `negative` | CONDITIONING | Processed negative conditioning that has been modified for video generation, including audio embeddings (set to zero), reference latents, motion references, and control video conditioning |
+| `latent` | LATENT | Generated video representation in latent space that can be decoded into final video frames. The latent tensor has shape [batch_size, 16, latent_t, height/8, width/8] where latent_t is derived from the length parameter |
---
-**Source fingerprint (SHA-256):** `f80f82b8671294a14ecfecf91bc13febae0c91c5efa438467a4413d52dc82d3f`
+**Source fingerprint (SHA-256):** `08aa558c23990f7efae9adede91715bf40afca4b50e416a6cadfd18c3d607b75`
diff --git a/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md b/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md
index 2ab6de65a..b3fefc904 100644
--- a/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md
+++ b/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md
@@ -10,18 +10,18 @@ The WanSoundImageToVideoExtend node extends an existing video latent by generati
| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts that specify what the video should avoid |
| `vae` | VAE | Yes | - | Variational Autoencoder used for encoding and decoding video frames |
| `length` | INT | Yes | 1 to MAX_RESOLUTION | Total number of frames to generate for the video sequence (default: 77, step: 4) |
-| `video_latent` | LATENT | Yes | - | Initial video latent representation that serves as the starting point for extension |
-| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio embeddings that can influence video generation based on sound characteristics |
-| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video generation |
-| `control_video` | IMAGE | No | - | Optional control video that can guide the motion and style of the generated video |
+| `video_latent` | LATENT | Yes | - | Initial video latent representation that serves as the starting point for extension. The width, height, batch size, and frame offset are derived from this latent. |
+| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio embeddings that can influence video generation based on sound characteristics. When provided, the audio is interpolated and used to create an audio embedding bucket that is added to the conditioning. |
+| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video generation. The image is upscaled to match the target dimensions and encoded into a latent, which is then added to both positive and negative conditioning. |
+| `control_video` | IMAGE | No | - | Optional control video that can guide the motion and style of the generated video. The video is upscaled, encoded, and added to both positive and negative conditioning. The control video is truncated to the specified `length`. |
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `positive` | CONDITIONING | Processed positive conditioning with video context applied |
-| `negative` | CONDITIONING | Processed negative conditioning with video context applied |
-| `latent` | LATENT | Generated video latent representation containing the extended video sequence |
+| `positive` | CONDITIONING | Processed positive conditioning with video context applied, including audio embeddings, reference latents, reference motion, and control video if provided |
+| `negative` | CONDITIONING | Processed negative conditioning with video context applied, including audio embeddings (zeroed out), reference latents, reference motion, and control video if provided |
+| `latent` | LATENT | Generated video latent representation containing the extended video sequence, initialized as zeros with dimensions derived from the input `video_latent` and the target `length` |
---
-**Source fingerprint (SHA-256):** `fc9aee5d51e96b864da7d75f592f07691be8b970346998b209b3ad8a72308ecb`
+**Source fingerprint (SHA-256):** `73e5aa3dd8085c7c0ed58f5cdafe71db04c20fcc521a965aeb8bbc3364c79031`
diff --git a/comfyui_embedded_docs/docs/WanTextToImageApi/en.md b/comfyui_embedded_docs/docs/WanTextToImageApi/en.md
index 64bd2bc15..333c93101 100644
--- a/comfyui_embedded_docs/docs/WanTextToImageApi/en.md
+++ b/comfyui_embedded_docs/docs/WanTextToImageApi/en.md
@@ -6,7 +6,7 @@ The Wan Text to Image node generates images based on text descriptions. It uses
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
-| `model` | COMBO | Yes | "wan2.5-t2i-preview" | Model to use (default: "wan2.5-t2i-preview") |
+| `model` | STRING | Yes | "wan2.5-t2i-preview" | Model to use (default: "wan2.5-t2i-preview") |
| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty) |
| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty) |
| `width` | INT | No | 768-1440 | Image width in pixels (default: 1024, step: 32) |
@@ -22,4 +22,4 @@ The Wan Text to Image node generates images based on text descriptions. It uses
| `output` | IMAGE | The generated image based on the text prompt |
---
-**Source fingerprint (SHA-256):** `2a59551d7ff0fc0553f41561afd94092d2d950ac3e1aa3f6402436540da7d6fb`
+**Source fingerprint (SHA-256):** `4ab8fe7b1e6a0b781b006e03719203b65ed58aec75aaee780d479170ed6425ea`
diff --git a/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md b/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md
index a4679e4ca..4910805d0 100644
--- a/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md
@@ -27,4 +27,4 @@ The Wan Text to Video node generates video content based on text descriptions. I
| `output` | VIDEO | The generated video based on the input parameters |
---
-**Source fingerprint (SHA-256):** `e978f384365060a6d71899e4e2e22b2c6f4268fb0da988c8902e4876d8597a96`
+**Source fingerprint (SHA-256):** `4fbdb2e06ff15849684de860ca3fdf4eb43e6af1803483b4baa7229e584f6e25`
diff --git a/comfyui_embedded_docs/docs/WanTrackToVideo/en.md b/comfyui_embedded_docs/docs/WanTrackToVideo/en.md
index c2900379c..05e7e5763 100644
--- a/comfyui_embedded_docs/docs/WanTrackToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanTrackToVideo/en.md
@@ -30,4 +30,4 @@ The WanTrackToVideo node converts motion tracking data into video sequences by p
| `latent` | LATENT | Generated video latent representation |
---
-**Source fingerprint (SHA-256):** `b3e12492d3dafa100266f6be8fe05e4d62b827f1a2bdb4029f804b107dc691ed`
+**Source fingerprint (SHA-256):** `b4855ec033d14139e8071a78b7831694282faaf0399f797341d3a9e9b926100d`
diff --git a/comfyui_embedded_docs/docs/WanVaceToVideo/en.md b/comfyui_embedded_docs/docs/WanVaceToVideo/en.md
index d5988da0a..ca4a4e816 100644
--- a/comfyui_embedded_docs/docs/WanVaceToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanVaceToVideo/en.md
@@ -14,20 +14,20 @@ The WanVaceToVideo node processes video conditioning data for video generation m
| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) |
| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) |
| `strength` | FLOAT | Yes | 0.0 to 1000.0 | Control strength for video conditioning (default: 1.0, step: 0.01) |
-| `control_video` | IMAGE | No | - | Optional input video for control conditioning |
-| `control_masks` | MASK | No | - | Optional masks for controlling which parts of the video to modify |
-| `reference_image` | IMAGE | No | - | Optional reference image for additional conditioning |
+| `control_video` | IMAGE | No | - | Optional input video for control conditioning. If not provided, a neutral gray video is created automatically. |
+| `control_masks` | MASK | No | - | Optional masks for controlling which parts of the video to modify. If not provided, a full white mask is used. |
+| `reference_image` | IMAGE | No | - | Optional reference image for additional conditioning. When provided, it is encoded and prepended to the latent sequence. |
-**Note:** When `control_video` is provided, it will be upscaled to match the specified width and height. If `control_masks` are provided, they must match the dimensions of the control video. The `reference_image` is encoded through the VAE and prepended to the latent sequence when provided.
+**Note:** When `control_video` is provided, it will be upscaled to match the specified width and height. If `control_masks` are provided, they must match the dimensions of the control video. The `reference_image` is encoded through the VAE and prepended to the latent sequence when provided. The `length` parameter determines the number of frames, and the latent length is calculated as `((length - 1) // 4) + 1`.
## Outputs
| Output Name | Data Type | Description |
|-------------|-----------|-------------|
-| `positive` | CONDITIONING | Positive conditioning with video control data applied |
-| `negative` | CONDITIONING | Negative conditioning with video control data applied |
-| `latent` | LATENT | Empty latent tensor ready for video generation |
-| `trim_latent` | INT | Number of latent frames to trim when reference image is used |
+| `positive` | CONDITIONING | Positive conditioning with video control data (vace_frames, vace_mask, vace_strength) applied |
+| `negative` | CONDITIONING | Negative conditioning with video control data (vace_frames, vace_mask, vace_strength) applied |
+| `latent` | LATENT | Empty latent tensor ready for video generation with shape [batch_size, 16, latent_length, height/8, width/8] |
+| `trim_latent` | INT | Number of latent frames to trim when reference image is used (0 if no reference image is provided) |
---
-**Source fingerprint (SHA-256):** `66e50a360dc99ac49cac8f3f1c8649bf4298da2934c1bd9a0bc7cfbec620b291`
+**Source fingerprint (SHA-256):** `e31638510efa11e35f297becb4a9f070fdb84d34878868aaf3525e589e5abb0b`
diff --git a/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md b/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md
index b0e90cb49..c582b8dd1 100644
--- a/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md
+++ b/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md
@@ -21,4 +21,4 @@ The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the
| `output` | VIDEO | The upscaled video file at the selected target resolution. |
---
-**Source fingerprint (SHA-256):** `9a495889753ac866177921727228846d8ef9516c54ccd9aa425350b87237c397`
+**Source fingerprint (SHA-256):** `61381d911521ccb8848ef3512749d5cb9e047cd0c1c2bdfc000c5d3ef3360918`
diff --git a/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md b/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md
index c8f9ad91b..e3e15ad02 100644
--- a/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md
+++ b/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md
@@ -7,7 +7,7 @@ The WaveSpeed Image Upscale node uses an external AI service to increase the res
| Parameter | Data Type | Required | Range | Description |
|-----------|-----------|----------|-------|-------------|
| `model` | STRING | Yes | `"SeedVR2"` `"Ultimate"` | The AI model to use for upscaling. "SeedVR2" and "Ultimate" offer different quality and pricing tiers. |
-| `image` | IMAGE | Yes | | The input image to be upscaled. |
+| `image` | IMAGE | Yes | | The input image to be upscaled. Exactly one image is required. |
| `target_resolution` | STRING | Yes | `"2K"` `"4K"` `"8K"` | The desired output resolution for the upscaled image. |
**Note:** This node requires exactly one input image. Providing a batch of images will result in an error.
@@ -19,4 +19,4 @@ The WaveSpeed Image Upscale node uses an external AI service to increase the res
| `image` | IMAGE | The upscaled, high-resolution output image. |
---
-**Source fingerprint (SHA-256):** `b14056f981f6e34c67d8126391acc11878f92f5f406559afbac803c86da42bcc`
+**Source fingerprint (SHA-256):** `9ed5a897cf067a9dbf8bee95f44cfc02c98349b1520e0f42d5f52c120d248014`
diff --git a/comfyui_embedded_docs/docs/wanBlockSwap/en.md b/comfyui_embedded_docs/docs/wanBlockSwap/en.md
index 2d194792a..874200a10 100644
--- a/comfyui_embedded_docs/docs/wanBlockSwap/en.md
+++ b/comfyui_embedded_docs/docs/wanBlockSwap/en.md
@@ -15,4 +15,4 @@ This node is deprecated and serves no function. It accepts a model as input and
| `model` | MODEL | The same model that was provided as input, unchanged. |
---
-**Source fingerprint (SHA-256):** `a7ab11efa864c6692b5acc2e75fada19e14a97690b809f02a2da0473a18a5164`
+**Source fingerprint (SHA-256):** `7acf88d1c42d90e645bb557c7fdc93e659182927ee7b3e3ef15b0ccf7c3f471a`
diff --git a/pyproject.toml b/pyproject.toml
index 65724db09..6c13abf5d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "comfyui-embedded-docs"
-version = "0.5.0"
+version = "0.5.1"
description = "Embedded documentation for ComfyUI nodes"
readme = "README.md"
requires-python = ">=3.9"