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support interrupting after the previous change

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AUTOMATIC 2022-10-04 14:23:22 +03:00
parent 6c6ae28bf5
commit 6165246124
1 changed files with 3 additions and 1 deletions
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4
modules/processing.py
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@ -361,7 +361,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
shared.state.job = f"Batch {n+1} out of {p.n_iter}" shared.state.job = f"Batch {n+1} out of {p.n_iter}"
with devices.autocast(): with devices.autocast():
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength).to(devices.dtype) samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength)
if state.interrupted: if state.interrupted:
@ -369,6 +369,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
# use the image collected previously in sampler loop # use the image collected previously in sampler loop
samples_ddim = shared.state.current_latent samples_ddim = shared.state.current_latent
samples_ddim = samples_ddim.to(devices.dtype)
x_samples_ddim = p.sd_model.decode_first_stage(samples_ddim) x_samples_ddim = p.sd_model.decode_first_stage(samples_ddim)
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0) x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)