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remove dependence on TQDM for sampler progress/interrupt functionality

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AUTOMATIC
2022-10-18 17:23:38 +03:00
parent ec1924ee57
commit cbf15edbf9
2 changed files with 58 additions and 55 deletions
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6
modules/processing.py
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@@ -402,12 +402,6 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
with devices.autocast():
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength)
if state.interrupted or state.skipped:
# if we are interrupted, sample returns just noise
# use the image collected previously in sampler loop
samples_ddim = shared.state.current_latent
samples_ddim = samples_ddim.to(devices.dtype_vae)
x_samples_ddim = decode_first_stage(p.sd_model, samples_ddim)
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)