GPT-Image-2 API and Prompts
[CVPR 2026] PromptEnhancer is a prompt-rewriting tool, refining prompts into clearer, structured versions for better image generation.
AI magics meet Infinite draw board.
Measures and metrics for image2image tasks. PyTorch.
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
Reverse-engineered the official API for Jimeng/Dreamina’s text-to-image and image-to-image features. Drew inspiration from several experts’ projects and made some tweaks, which significantly improved stability.
Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
A Collection of Google Colab Notebooks for various projects
An SDK/Python library for Automatic 1111 to run state-of-the-art diffusion models
ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.
[ICLR 2025] Official Implementation of Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
[ICLR 2025] Codebase for "CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation"
Repo for Qwen Image Finetune
ReSwapper aims to reproduce the implementation of inswapper. This repository provides code for training, inference, and includes pretrained weights.
Stable Diffusion Free AI Image Generator Flux 2 Local Deployment Real-time Video Character Consistency Identity Anchoring SDXL Turbo LoRA Training ControlNet Open Source Art Studio Hyperrealistic Cinematic Styles Prompt Engineering Python Pytorch Forge ComfyUI 2026 Release High Resolution Desktop Tool
Generate image from anything with ImageBind and Stable Diffusion
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
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