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import gradio as gr
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import subprocess
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import os
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import sys
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from .common_gui import (
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get_saveasfilename_path,
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get_file_path,
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scriptdir,
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list_files,
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create_refresh_button, setup_environment
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)
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from .custom_logging import setup_logging
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log = setup_logging()
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folder_symbol = "\U0001f4c2"
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refresh_symbol = "\U0001f504"
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save_style_symbol = "\U0001f4be"
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document_symbol = "\U0001F4C4"
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PYTHON = sys.executable
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def merge_lycoris(
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base_model,
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lycoris_model,
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weight,
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output_name,
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dtype,
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device,
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is_sdxl,
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is_v2,
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):
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log.info("Merge model...")
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run_cmd = [
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fr"{PYTHON}",
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fr"{scriptdir}/tools/merge_lycoris.py",
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fr"{base_model}",
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fr"{lycoris_model}",
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fr"{output_name}",
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]
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run_cmd.append("--weight")
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run_cmd.append(str(weight))
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run_cmd.append("--device")
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run_cmd.append(device)
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run_cmd.append("--dtype")
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run_cmd.append(dtype)
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if is_sdxl:
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run_cmd.append("--is_sdxl")
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if is_v2:
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run_cmd.append("--is_v2")
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env = setup_environment()
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command_to_run = " ".join(run_cmd)
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log.info(f"Executing command: {command_to_run}")
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subprocess.run(run_cmd, env=env)
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log.info("Done merging...")
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def gradio_merge_lycoris_tab(headless=False):
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current_model_dir = os.path.join(scriptdir, "outputs")
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current_lycoris_dir = current_model_dir
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current_save_dir = current_model_dir
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def list_models(path):
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nonlocal current_model_dir
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current_model_dir = path
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return list(list_files(path, exts=[".ckpt", ".safetensors"], all=True))
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def list_lycoris_model(path):
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nonlocal current_lycoris_dir
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current_lycoris_dir = path
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return list(list_files(path, exts=[".pt", ".safetensors"], all=True))
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def list_save_to(path):
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nonlocal current_save_dir
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current_save_dir = path
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return list(list_files(path, exts=[".ckpt", ".safetensors"], all=True))
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with gr.Tab("Merge LyCORIS"):
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gr.Markdown("This utility can merge a LyCORIS model into a SD checkpoint.")
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lora_ext = gr.Textbox(value="*.safetensors *.pt", visible=False)
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lora_ext_name = gr.Textbox(value="LoRA model types", visible=False)
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ckpt_ext = gr.Textbox(value="*.safetensors *.ckpt", visible=False)
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ckpt_ext_name = gr.Textbox(value="SD model types", visible=False)
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with gr.Group(), gr.Row():
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base_model = gr.Dropdown(
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label="SD Model (Optional Stable Diffusion base model)",
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interactive=True,
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info="Provide a SD file path that you want to merge with the LyCORIS file",
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choices=[""] + list_models(current_save_dir),
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value="",
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allow_custom_value=True,
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)
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create_refresh_button(
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base_model,
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lambda: None,
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lambda: {"choices": list_models(current_model_dir)},
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"open_folder_small",
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)
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base_model_file = gr.Button(
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folder_symbol,
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elem_id="open_folder_small",
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elem_classes=["tool"],
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visible=(not headless),
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)
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base_model_file.click(
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get_file_path,
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inputs=[base_model, ckpt_ext, ckpt_ext_name],
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outputs=base_model,
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show_progress=False,
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)
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lycoris_model = gr.Dropdown(
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label="LyCORIS model (path to the LyCORIS model)",
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interactive=True,
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choices=[""] + list_lycoris_model(current_save_dir),
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value="",
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allow_custom_value=True,
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)
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button_lycoris_model_file = gr.Button(
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folder_symbol,
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elem_id="open_folder_small",
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elem_classes=["tool"],
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visible=(not headless),
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)
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button_lycoris_model_file.click(
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get_file_path,
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inputs=[lycoris_model, lora_ext, lora_ext_name],
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outputs=lycoris_model,
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show_progress=False,
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)
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base_model.change(
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fn=lambda path: gr.Dropdown(choices=[""] + list_models(path)),
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inputs=base_model,
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outputs=base_model,
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show_progress=False,
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)
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lycoris_model.change(
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fn=lambda path: gr.Dropdown(choices=[""] + list_lycoris_model(path)),
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inputs=lycoris_model,
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outputs=lycoris_model,
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show_progress=False,
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)
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with gr.Row():
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weight = gr.Slider(
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label="Model A merge ratio (eg: 0.5 mean 50%)",
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minimum=0,
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maximum=1,
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step=0.01,
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value=1.0,
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interactive=True,
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)
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with gr.Group(), gr.Row():
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output_name = gr.Dropdown(
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label="Save to (path for the checkpoint file to save...)",
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interactive=True,
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choices=[""] + list_save_to(current_save_dir),
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value="",
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allow_custom_value=True,
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)
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create_refresh_button(
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output_name,
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lambda: None,
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lambda: {"choices": list_save_to(current_save_dir)},
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"open_folder_small",
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)
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button_output_name = gr.Button(
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folder_symbol,
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elem_id="open_folder_small",
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elem_classes=["tool"],
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visible=(not headless),
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)
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button_output_name.click(
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get_saveasfilename_path,
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inputs=[output_name, lora_ext, lora_ext_name],
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outputs=output_name,
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show_progress=False,
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)
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dtype = gr.Radio(
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label="Save dtype",
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choices=[
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"float",
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"float16",
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"float32",
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"float64",
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"bfloat",
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"bfloat16",
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],
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value="float16",
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interactive=True,
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)
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device = gr.Radio(
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label="Device",
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choices=[
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"cpu",
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"cuda",
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],
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value="cpu",
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interactive=True,
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)
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output_name.change(
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fn=lambda path: gr.Dropdown(choices=[""] + list_save_to(path)),
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inputs=output_name,
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outputs=output_name,
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show_progress=False,
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)
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with gr.Row():
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is_sdxl = gr.Checkbox(label="is SDXL", value=False, interactive=True)
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is_v2 = gr.Checkbox(label="is v2", value=False, interactive=True)
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merge_button = gr.Button("Merge model")
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merge_button.click(
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merge_lycoris,
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inputs=[
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base_model,
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lycoris_model,
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weight,
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output_name,
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dtype,
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device,
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is_sdxl,
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is_v2,
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],
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show_progress=False,
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)
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