mirror of https://github.com/bmaltais/kohya_ss
132 lines
3.7 KiB
Python
132 lines
3.7 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_any_file_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 verify_lora(
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lora_model,
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):
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# verify for caption_text_input
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if lora_model == '':
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msgbox('Invalid model A file')
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return
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# verify if source model exist
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if not os.path.isfile(lora_model):
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msgbox('The provided model A is not a file')
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return
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run_cmd = fr'"{PYTHON}" "{scriptdir}/sd-scripts/networks/check_lora_weights.py" "{lora_model}"'
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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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process = subprocess.Popen(
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run_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=env,
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)
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output, error = process.communicate()
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return (output.decode(), error.decode())
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###
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# Gradio UI
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###
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def gradio_verify_lora_tab(headless=False):
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current_model_dir = os.path.join(scriptdir, "outputs")
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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=[".pt", ".safetensors"], all=True))
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with gr.Tab('Verify LoRA'):
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gr.Markdown(
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'This utility can verify a LoRA network to make sure it is properly trained.'
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)
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lora_ext = gr.Textbox(value='*.pt *.safetensors', visible=False)
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lora_ext_name = gr.Textbox(value='LoRA model types', visible=False)
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with gr.Group(), gr.Row():
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lora_model = gr.Dropdown(
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label='LoRA model (path to the LoRA model to verify)',
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interactive=True,
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choices=[""] + list_models(current_model_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(lora_model, lambda: None, lambda: {"choices": list_models(current_model_dir)}, "open_folder_small")
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button_lora_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_lora_model_file.click(
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get_file_path,
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inputs=[lora_model, lora_ext, lora_ext_name],
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outputs=lora_model,
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show_progress=False,
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)
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verify_button = gr.Button('Verify', variant='primary')
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lora_model.change(
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fn=lambda path: gr.Dropdown(choices=[""] + list_models(path)),
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inputs=lora_model,
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outputs=lora_model,
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show_progress=False,
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)
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lora_model_verif_output = gr.Textbox(
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label='Output',
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placeholder='Verification output',
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interactive=False,
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lines=1,
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max_lines=10,
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)
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lora_model_verif_error = gr.Textbox(
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label='Error',
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placeholder='Verification error',
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interactive=False,
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lines=1,
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max_lines=10,
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)
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verify_button.click(
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verify_lora,
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inputs=[
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lora_model,
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],
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outputs=[lora_model_verif_output, lora_model_verif_error],
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show_progress=False,
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)
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