diff options
| author | AUTOMATIC <16777216c@gmail.com> | 2023-01-16 19:59:46 +0000 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2023-01-16 19:59:46 +0000 |
| commit | 9991967f40120b88a1dc925fdf7d747d5e016888 (patch) | |
| tree | fd622c4c330bf948edef259badee58a2d59939f5 /modules/processing.py | |
| parent | 52f6e94338f31c286361802b08ee5210b8244141 (diff) | |
| download | stable-diffusion-webui-gfx803-9991967f40120b88a1dc925fdf7d747d5e016888.tar.gz stable-diffusion-webui-gfx803-9991967f40120b88a1dc925fdf7d747d5e016888.tar.bz2 stable-diffusion-webui-gfx803-9991967f40120b88a1dc925fdf7d747d5e016888.zip | |
Add a check and explanation for tensor with all NaNs.
Diffstat (limited to 'modules/processing.py')
| -rw-r--r-- | modules/processing.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/modules/processing.py b/modules/processing.py index 849f6b19..ab7b3b7d 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -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)
|