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| import gradio as gr | |
| import os | |
| import argparse | |
| from dreambooth_gui import dreambooth_tab | |
| from finetune_gui import finetune_tab | |
| from textual_inversion_gui import ti_tab | |
| from library.utilities import utilities_tab | |
| from library.extract_lora_gui import gradio_extract_lora_tab | |
| from library.extract_lycoris_locon_gui import gradio_extract_lycoris_locon_tab | |
| from library.merge_lora_gui import gradio_merge_lora_tab | |
| from library.resize_lora_gui import gradio_resize_lora_tab | |
| from lora_gui import lora_tab | |
| def UI(**kwargs): | |
| css = '' | |
| if os.path.exists('./style.css'): | |
| with open(os.path.join('./style.css'), 'r', encoding='utf8') as file: | |
| print('Load CSS...') | |
| css += file.read() + '\n' | |
| interface = gr.Blocks(css=css, title='Kohya_ss GUI') | |
| with interface: | |
| with gr.Tab('Dreambooth'): | |
| ( | |
| train_data_dir_input, | |
| reg_data_dir_input, | |
| output_dir_input, | |
| logging_dir_input, | |
| ) = dreambooth_tab() | |
| with gr.Tab('Dreambooth LoRA'): | |
| lora_tab() | |
| with gr.Tab('Dreambooth TI'): | |
| ti_tab() | |
| with gr.Tab('Finetune'): | |
| finetune_tab() | |
| with gr.Tab('Utilities'): | |
| utilities_tab( | |
| train_data_dir_input=train_data_dir_input, | |
| reg_data_dir_input=reg_data_dir_input, | |
| output_dir_input=output_dir_input, | |
| logging_dir_input=logging_dir_input, | |
| enable_copy_info_button=True, | |
| ) | |
| gradio_extract_lora_tab() | |
| gradio_extract_lycoris_locon_tab() | |
| gradio_merge_lora_tab() | |
| gradio_resize_lora_tab() | |
| # Show the interface | |
| launch_kwargs = {} | |
| username = kwargs.get('username') | |
| password = kwargs.get('password') | |
| server_port = kwargs.get('server_port', 0) | |
| inbrowser = kwargs.get('inbrowser', False) | |
| share = kwargs.get('share', False) | |
| server_name = kwargs.get('listen') | |
| launch_kwargs['server_name'] = server_name | |
| if username and password: | |
| launch_kwargs['auth'] = (username, password) | |
| if server_port > 0: | |
| launch_kwargs['server_port'] = server_port | |
| if inbrowser: | |
| launch_kwargs['inbrowser'] = inbrowser | |
| if share: | |
| launch_kwargs['share'] = share | |
| interface.launch(**launch_kwargs) | |
| if __name__ == '__main__': | |
| # torch.cuda.set_per_process_memory_fraction(0.48) | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument( | |
| '--listen', | |
| type=str, | |
| default='127.0.0.1', | |
| help='IP to listen on for connections to Gradio', | |
| ) | |
| parser.add_argument( | |
| '--username', type=str, default='', help='Username for authentication' | |
| ) | |
| parser.add_argument( | |
| '--password', type=str, default='', help='Password for authentication' | |
| ) | |
| parser.add_argument( | |
| '--server_port', | |
| type=int, | |
| default=0, | |
| help='Port to run the server listener on', | |
| ) | |
| parser.add_argument( | |
| '--inbrowser', action='store_true', help='Open in browser' | |
| ) | |
| parser.add_argument( | |
| '--share', action='store_true', help='Share the gradio UI' | |
| ) | |
| args = parser.parse_args() | |
| UI( | |
| username=args.username, | |
| password=args.password, | |
| inbrowser=args.inbrowser, | |
| server_port=args.server_port, | |
| share=args.share, | |
| listen=args.listen, | |
| ) | |