原文： input = noise for t in scheduler.timesteps: with torch.no_grad(): noisy_residual = model(input, t).sample previous_noisy_sample = scheduler.step(noisy_residual, t, input).prev_sample input = previous_noisy_sample 我修改后的： input = noise for t in scheduler.timesteps: with torch…

Diffusers documentation has some error code,i have fixed it

radames May 26, 2023, 4:00am 2

hi @waterplants , thanks for the feedback, would you like to send us PR fixing the docs? here

Thanks