Closed Pandint closed 3 months ago
I derivate from the EulerDiscreteScheduler and obtain the results as follows:
denoised_latents = model_pred * (-sigma / (sigma**2 + 1) ** 0.5) + (noisy_latents / (sigma**2 + 1))
predicted_noise = model_pred * (1 / (sigmas**2 + 1) ** 0.5) - (noisy_latents * sigmas/ (sigmas**2 + 1))
I think this might be right.
Hi, actually I don't quite understand your motivation. Are you looking to change the sampling method of SVD to DDIM?
Yes. And DDIM needs to take pred_noise and model_pred as input.
Sorry to disturb you again.
I am trying to accelerate SVD with DDIM, but in the EDM training framework, I didn't find how to calculate the predicted_noise with sigmas and model_pred. Can you help me?