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mirror of https://github.com/vladmandic/automatic synced 2026-09-19 17:24:32 +02:00
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Minor readability improvement

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awsr
2026-01-21 16:41:05 -08:00
parent 2f8976e28d
commit fe20635d0f
1 changed files with 8 additions and 8 deletions
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modules/processing.py
+8 -8
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@@ -270,8 +270,8 @@ def process_init(p: StableDiffusionProcessing):
if reset_prompts:
if not hasattr(p, 'keep_prompts'):
p.all_prompts, p.all_negative_prompts = shared.prompt_styles.apply_styles_to_prompts(p.all_prompts, p.all_negative_prompts, p.styles, p.all_seeds)
p.prompts = p.all_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
p.negative_prompts = p.all_negative_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
p.prompts = p.all_prompts[(p.iteration * p.batch_size):((p.iteration+1) * p.batch_size)]
p.negative_prompts = p.all_negative_prompts[(p.iteration * p.batch_size):((p.iteration+1) * p.batch_size)]
p.prompts, _ = extra_networks.parse_prompts(p.prompts)
@@ -427,10 +427,10 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
continue
if not hasattr(p, 'keep_prompts'):
p.prompts = p.all_prompts[n * p.batch_size:(n+1) * p.batch_size]
p.negative_prompts = p.all_negative_prompts[n * p.batch_size:(n+1) * p.batch_size]
p.seeds = p.all_seeds[n * p.batch_size:(n+1) * p.batch_size]
p.subseeds = p.all_subseeds[n * p.batch_size:(n+1) * p.batch_size]
p.prompts = p.all_prompts[(n * p.batch_size):((n+1) * p.batch_size)]
p.negative_prompts = p.all_negative_prompts[(n * p.batch_size):((n+1) * p.batch_size)]
p.seeds = p.all_seeds[(n * p.batch_size):((n+1) * p.batch_size)]
p.subseeds = p.all_subseeds[(n * p.batch_size):((n+1) * p.batch_size)]
if p.scripts is not None and isinstance(p.scripts, scripts_manager.ScriptRunner):
p.scripts.before_process_batch(p, batch_number=n, prompts=p.prompts, seeds=p.seeds, subseeds=p.subseeds)
if not p.prompts:
@@ -469,8 +469,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
if p.scripts is not None and isinstance(p.scripts, scripts_manager.ScriptRunner):
p.scripts.postprocess_batch(p, samples, batch_number=n)
if p.scripts is not None and isinstance(p.scripts, scripts_manager.ScriptRunner):
p.prompts = p.all_prompts[n * p.batch_size:(n+1) * p.batch_size]
p.negative_prompts = p.all_negative_prompts[n * p.batch_size:(n+1) * p.batch_size]
p.prompts = p.all_prompts[(n * p.batch_size):((n+1) * p.batch_size)]
p.negative_prompts = p.all_negative_prompts[(n * p.batch_size):((n+1) * p.batch_size)]
batch_params = scripts_manager.PostprocessBatchListArgs(list(samples))
p.scripts.postprocess_batch_list(p, batch_params, batch_number=n)
samples = batch_params.images