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Parent(s):
e6d0ada
Update app.py
Browse files
app.py
CHANGED
@@ -58,17 +58,17 @@ css = '''
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original_pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
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def merge_and_run(prompt, negative_prompt, shuffled_items, lora_1_scale=0.5, lora_2_scale=0.5, progress=gr.Progress(track_tqdm=True)):
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print(shuffled_items)
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state_dict_1 = copy.deepcopy(shuffled_items[0]['state_dict'])
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state_dict_2 = copy.deepcopy(shuffled_items[1]['state_dict'])
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pipe = copy.deepcopy(original_pipe)
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pipe.to("cuda")
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pipe.load_lora_weights(
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pipe.fuse_lora(lora_1_scale)
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pipe.load_lora_weights(
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pipe.fuse_lora(lora_2_scale)
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if negative_prompt == "":
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original_pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
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def merge_and_run(prompt, negative_prompt, shuffled_items, lora_1_scale=0.5, lora_2_scale=0.5, progress=gr.Progress(track_tqdm=True)):
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state_dict_1 = copy.deepcopy(shuffled_items[0]['state_dict'])
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print("state_1", state_dict_1)
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state_dict_2 = copy.deepcopy(shuffled_items[1]['state_dict'])
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print("state_2", state_dict_2)
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pipe = copy.deepcopy(original_pipe)
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pipe.to("cuda")
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pipe.load_lora_weights(state_dict_1)
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pipe.fuse_lora(lora_1_scale)
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pipe.load_lora_weights(state_dict_2)
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pipe.fuse_lora(lora_2_scale)
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if negative_prompt == "":
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