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Type standardization in processing_class

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awsr
2026-01-21 16:35:19 -08:00
parent 6344db1b09
commit 2f8976e28d
6 changed files with 19 additions and 20 deletions
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modules/processing_diffusers.py
+2 -2
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@@ -563,9 +563,9 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
shared.sd_model = sd_models.set_diffuser_pipe(shared.sd_model, sd_models.DiffusersTaskType.INPAINTING) # force pipeline
if len(getattr(p, 'init_images', [])) == 0:
p.init_images = [TF.to_pil_image(torch.rand((3, getattr(p, 'height', 512), getattr(p, 'width', 512))))]
if p.prompts is None or len(p.prompts) == 0:
if not p.prompts:
p.prompts = p.all_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
if p.negative_prompts is None or len(p.negative_prompts) == 0:
if not p.negative_prompts:
p.negative_prompts = p.all_negative_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
sd_models_compile.openvino_recompile_model(p, hires=False, refiner=False) # recompile if a parameter changes