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fix for img2img color correction in a batch #3218

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AUTOMATIC 2022-10-22 22:06:54 +03:00
parent be748e8b08
commit ca5a9e79dc
1 changed files with 4 additions and 2 deletions
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6
modules/processing.py
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@ -403,8 +403,6 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
if (len(prompts) == 0): if (len(prompts) == 0):
break break
#uc = p.sd_model.get_learned_conditioning(len(prompts) * [p.negative_prompt])
#c = p.sd_model.get_learned_conditioning(prompts)
with devices.autocast(): with devices.autocast():
uc = prompt_parser.get_learned_conditioning(shared.sd_model, len(prompts) * [p.negative_prompt], p.steps) uc = prompt_parser.get_learned_conditioning(shared.sd_model, len(prompts) * [p.negative_prompt], p.steps)
c = prompt_parser.get_multicond_learned_conditioning(shared.sd_model, prompts, p.steps) c = prompt_parser.get_multicond_learned_conditioning(shared.sd_model, prompts, p.steps)
@ -716,6 +714,10 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
batch_images = np.expand_dims(imgs[0], axis=0).repeat(self.batch_size, axis=0) batch_images = np.expand_dims(imgs[0], axis=0).repeat(self.batch_size, axis=0)
if self.overlay_images is not None: if self.overlay_images is not None:
self.overlay_images = self.overlay_images * self.batch_size self.overlay_images = self.overlay_images * self.batch_size
if self.color_corrections is not None and len(self.color_corrections) == 1:
self.color_corrections = self.color_corrections * self.batch_size
elif len(imgs) <= self.batch_size: elif len(imgs) <= self.batch_size:
self.batch_size = len(imgs) self.batch_size = len(imgs)
batch_images = np.array(imgs) batch_images = np.array(imgs)