69 lines
2.0 KiB
Python
69 lines
2.0 KiB
Python
import gradio as gr
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import os
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import argparse
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from dreambooth_gui import dreambooth_tab
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from finetune_gui import finetune_tab
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from textual_inversion_gui import ti_tab
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from library.utilities import utilities_tab
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from library.extract_lora_gui import gradio_extract_lora_tab
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from library.merge_lora_gui import gradio_merge_lora_tab
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from lora_gui import lora_tab
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def UI(username, password):
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css = ''
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if os.path.exists('./style.css'):
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with open(os.path.join('./style.css'), 'r', encoding='utf8') as file:
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print('Load CSS...')
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css += file.read() + '\n'
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interface = gr.Blocks(css=css)
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with interface:
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with gr.Tab('Dreambooth'):
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(
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train_data_dir_input,
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reg_data_dir_input,
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output_dir_input,
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logging_dir_input,
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) = dreambooth_tab()
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with gr.Tab('Dreambooth LoRA'):
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lora_tab()
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with gr.Tab('Dreambooth TI'):
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ti_tab()
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with gr.Tab('Finetune'):
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finetune_tab()
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with gr.Tab('Utilities'):
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utilities_tab(
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train_data_dir_input=train_data_dir_input,
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reg_data_dir_input=reg_data_dir_input,
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output_dir_input=output_dir_input,
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logging_dir_input=logging_dir_input,
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enable_copy_info_button=True,
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)
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gradio_extract_lora_tab()
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gradio_merge_lora_tab()
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# Show the interface
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if not username == '':
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interface.launch(auth=(username, password))
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else:
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interface.launch()
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if __name__ == '__main__':
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# torch.cuda.set_per_process_memory_fraction(0.48)
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'--username', type=str, default='', help='Username for authentication'
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)
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parser.add_argument(
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'--password', type=str, default='', help='Password for authentication'
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)
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args = parser.parse_args()
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UI(username=args.username, password=args.password)
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