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https://github.com/vladmandic/automatic
synced 2026-08-26 15:16:01 +02:00
allow missing size
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@@ -230,10 +230,11 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
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is_img2img_model = bool('Zero123' in shared.sd_model.__class__.__name__)
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if sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.TEXT_2_IMAGE and not is_img2img_model:
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p.ops.append('txt2img')
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task_args = {
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'height': 8 * math.ceil(p.height / 8),
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'width': 8 * math.ceil(p.width / 8),
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}
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if hasattr(p, 'width') and hasattr(p, 'height'):
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task_args = {
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'width': 8 * math.ceil(p.width / 8),
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'height': 8 * math.ceil(p.height / 8),
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}
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elif (sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.IMAGE_2_IMAGE or is_img2img_model) and len(getattr(p, 'init_images' ,[])) > 0:
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p.ops.append('img2img')
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task_args = {
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@@ -243,8 +244,8 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
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elif sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.INSTRUCT and len(getattr(p, 'init_images' ,[])) > 0:
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p.ops.append('instruct')
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task_args = {
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'height': 8 * math.ceil(p.height / 8),
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'width': 8 * math.ceil(p.width / 8),
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'height': 8 * math.ceil(p.height / 8),
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'image': p.init_images,
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'strength': p.denoising_strength,
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}
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