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authorAUTOMATIC <16777216c@gmail.com>2022-10-04 11:23:22 +0000
committerAUTOMATIC <16777216c@gmail.com>2022-10-04 11:23:22 +0000
commit61652461242951966e5b4cee83ce359cefa91c17 (patch)
treec836daf1780e531866d43944dee9d033da03a22c /modules/processing.py
parent6c6ae28bf5fd1e8bc3e8f64a3430b6f29f338f77 (diff)
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support interrupting after the previous change
Diffstat (limited to 'modules/processing.py')
-rw-r--r--modules/processing.py4
1 files changed, 3 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py
index 9cbecdd8..6f5599c7 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -361,7 +361,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
shared.state.job = f"Batch {n+1} out of {p.n_iter}"
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:
@@ -369,6 +369,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
# use the image collected previously in sampler loop
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 = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)