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prevent repeating messages about too many tokens

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AUTOMATIC 2022-09-15 08:57:03 +03:00
parent dfb2e830d9
commit b28cf84c36
1 changed files with 3 additions and 2 deletions
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5
modules/processing.py
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@ -180,7 +180,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
modules.sd_hijack.model_hijack.apply_circular(p.tiling) modules.sd_hijack.model_hijack.apply_circular(p.tiling)
comments = [] comments = {}
shared.prompt_styles.apply_styles(p) shared.prompt_styles.apply_styles(p)
@ -251,7 +251,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
c = p.sd_model.get_learned_conditioning(prompts) c = p.sd_model.get_learned_conditioning(prompts)
if len(model_hijack.comments) > 0: if len(model_hijack.comments) > 0:
comments += model_hijack.comments for comment in model_hijack.comments:
comments[comment] = 1
# we manually generate all input noises because each one should have a specific seed # we manually generate all input noises because each one should have a specific seed
x = create_random_tensors([opt_C, p.height // opt_f, p.width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w) x = create_random_tensors([opt_C, p.height // opt_f, p.width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w)