c_skip and c_out in Inference

[w86763777]

Hi, thank you for your great work!

I have a question regarding the following lines:

c_skip = self.sigma_data ** 2 / ((sigma - self.sigma_min) ** 2 + self.sigma_data ** 2)
c_out = (sigma - self.sigma_min) * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2).sqrt()

It seems that c_skip and c_out used during inference differ from those used in the training phase. I think this behavior is not present in EDM. Is there any particular intuition or motivation behind this change?

Thanks again for your time and looking forward to your insights!
Please kindly correct me if I have misunderstood anything.