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Add a check and explanation for tensor with all NaNs.

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AUTOMATIC 2023-01-16 22:59:46 +03:00
parent 52f6e94338
commit 9991967f40
3 changed files with 33 additions and 0 deletions
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modules/processing.py
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@ -608,6 +608,9 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
x_samples_ddim = [decode_first_stage(p.sd_model, samples_ddim[i:i+1].to(dtype=devices.dtype_vae))[0].cpu() for i in range(samples_ddim.size(0))]
for x in x_samples_ddim:
devices.test_for_nans(x, "vae")
x_samples_ddim = torch.stack(x_samples_ddim).float()
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)