Update Storydiffusion_node.py
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@@ -1847,7 +1847,7 @@ class Storydiffusion_Sampler:
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gc.collect()
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torch.cuda.empty_cache()
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controlnet_path=None
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pipe=story_maker_loader(clip_load,clip_vision_path,dir_path,ckpt_path,face_adapter,UniPCMultistepScheduler,controlnet_path,low_vram)
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pipe=story_maker_loader(clip_load,clip_vision_path,dir_path,ckpt_path,face_adapter,UniPCMultistepScheduler,controlnet_path,lora_scale,low_vram)
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mask_image_1=input_id_img_s_dict[role_name_list[0]][0]
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mask_image_2=input_id_img_s_dict[role_name_list[1]][0]
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@@ -1936,8 +1936,11 @@ class Storydiffusion_Sampler:
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else:
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image_list = narry_list(image_pil_list)
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image = torch.from_numpy(np.fromiter(image_list, np.dtype((np.float32, (height, width, 3)))))
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if use_storydif:
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pipe.to("cpu")
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if use_storydif and not prompts_dual:
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try:
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pipe.to("cpu")
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except:
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pass
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gc.collect()
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torch.cuda.empty_cache()
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return (image, scene_prompts,)
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