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7efd9a0
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Parent(s):
a56c826
Update app.py
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app.py
CHANGED
@@ -41,13 +41,11 @@ css = '''
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border-top-left-radius: 0px;}
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'''
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original_pipe = copy.deepcopy(pipe)
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#@spaces.GPU
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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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pipe = copy.deepcopy(original_pipe)
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print("Loading LoRAs")
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pipe.load_lora_weights(shuffled_items[0]['repo'], weight_name=shuffled_items[0]['weights'])
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pipe.fuse_lora(lora_1_scale)
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@@ -64,7 +62,7 @@ def merge_and_run(prompt, negative_prompt, shuffled_items, lora_1_scale=0.5, lor
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def get_description(item):
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trigger_word = item["trigger_word"]
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return f"LoRA trigger word: `{trigger_word}`" if trigger_word else "
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def shuffle_images():
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compatible_items = [item for item in sdxl_loras if item['is_compatible']]
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border-top-left-radius: 0px;}
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'''
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#@spaces.GPU
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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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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
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print("Loading LoRAs")
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pipe.load_lora_weights(shuffled_items[0]['repo'], weight_name=shuffled_items[0]['weights'])
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pipe.fuse_lora(lora_1_scale)
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def get_description(item):
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trigger_word = item["trigger_word"]
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return f"LoRA trigger word: `{trigger_word}`" if trigger_word else "No trigger word, will be applied automatically", trigger_word
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def shuffle_images():
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compatible_items = [item for item in sdxl_loras if item['is_compatible']]
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