mirror of https://github.com/bmaltais/kohya_ss
235 lines
7.1 KiB
Python
235 lines
7.1 KiB
Python
import gradio as gr
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from easygui import msgbox
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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,
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)
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from .custom_logging import setup_logging
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# Set up 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 = fr'"{PYTHON}" "{scriptdir}/tools/merge_lycoris.py"'
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run_cmd += fr' "{base_model}"'
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run_cmd += fr' "{lycoris_model}"'
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run_cmd += fr' "{output_name}"'
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run_cmd += f' --weight {weight}'
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run_cmd += f' --device {device}'
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run_cmd += f' --dtype {dtype}'
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if is_sdxl:
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run_cmd += f' --is_sdxl'
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if is_v2:
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run_cmd += f' --is_v2'
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log.info(run_cmd)
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env = os.environ.copy()
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env['PYTHONPATH'] = fr"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
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# Run the command
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subprocess.run(run_cmd, shell=True, env=env)
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log.info('Done merging...')
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###
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# Gradio UI
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###
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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(
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'This utility can merge a LyCORIS model into a SD checkpoint.'
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)
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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(base_model, lambda: None, lambda: {"choices": list_models(current_model_dir)}, "open_folder_small")
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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(output_name, lambda: None, lambda: {"choices": list_save_to(current_save_dir)}, "open_folder_small")
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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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