multimodalart HF staff commited on
Commit
9bd2ea4
1 Parent(s): e6d0ada

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
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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-
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  pipe = copy.deepcopy(original_pipe)
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  pipe.to("cuda")
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- pipe.load_lora_weights(shuffled_items[0]['state_dict'])
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  pipe.fuse_lora(lora_1_scale)
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- pipe.load_lora_weights(shuffled_items[1]['state_dict'])
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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 == "":