Commit
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2c5d2ff
1
Parent(s):
0b93869
Upload kohya_gui.py
Browse files- kohya_gui.py +145 -0
kohya_gui.py
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| 1 |
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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 lora_gui import lora_tab
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from library.class_lora_tab import LoRATools
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import os
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from library.custom_logging import setup_logging
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from library.localization_ext import add_javascript
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# Set up logging
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log = setup_logging()
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def UI(**kwargs):
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add_javascript(kwargs.get("language"))
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css = ""
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headless = kwargs.get("headless", False)
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log.info(f"headless: {headless}")
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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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log.info("Load CSS...")
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css += file.read() + "\n"
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if os.path.exists("./.release"):
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with open(os.path.join("./.release"), "r", encoding="utf8") as file:
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release = file.read()
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if os.path.exists("./README.md"):
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with open(os.path.join("./README.md"), "r", encoding="utf8") as file:
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README = file.read()
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interface = gr.Blocks(
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css=css, title=f"Kohya_ss GUI {release}", theme=gr.themes.Default()
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)
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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(headless=headless)
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with gr.Tab("LoRA"):
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lora_tab(headless=headless)
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with gr.Tab("Textual Inversion"):
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ti_tab(headless=headless)
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with gr.Tab("Finetuning"):
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finetune_tab(headless=headless)
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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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headless=headless,
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)
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with gr.Tab("LoRA"):
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_ = LoRATools(headless=headless)
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with gr.Tab("About"):
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gr.Markdown(f"kohya_ss GUI release {release}")
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with gr.Tab("README"):
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gr.Markdown(README)
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htmlStr = f"""
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<html>
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<body>
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<div class="ver-class">{release}</div>
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</body>
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</html>
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"""
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gr.HTML(htmlStr)
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# Show the interface
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launch_kwargs = {}
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username = kwargs.get("username")
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password = kwargs.get("password")
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server_port = kwargs.get("server_port", 0)
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inbrowser = kwargs.get("inbrowser", False)
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share = False
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server_name = kwargs.get("listen")
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launch_kwargs["server_name"] = server_name
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if username and password:
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launch_kwargs["auth"] = (username, password)
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if server_port > 0:
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launch_kwargs["server_port"] = server_port
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if inbrowser:
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launch_kwargs["inbrowser"] = inbrowser
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if share:
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launch_kwargs["share"] = False
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interface.launch(**launch_kwargs, share=False)
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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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"--listen",
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type=str,
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default="127.0.0.1",
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help="IP to listen on for connections to Gradio",
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)
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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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parser.add_argument(
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"--server_port",
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type=int,
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default=0,
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help="Port to run the server listener on",
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)
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parser.add_argument("--inbrowser", action="store_true", help="Open in browser")
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parser.add_argument("--share", action="store_true", help="Share the gradio UI")
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parser.add_argument(
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"--headless", action="store_true", help="Is the server headless"
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)
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parser.add_argument(
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"--language", type=str, default=None, help="Set custom language"
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| 130 |
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)
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parser.add_argument("--use-ipex", action="store_true", help="Use IPEX environment")
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args = parser.parse_args()
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UI(
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username=args.username,
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password=args.password,
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inbrowser=args.inbrowser,
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server_port=args.server_port,
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share=False,
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listen=args.listen,
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headless=args.headless,
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language=args.language,
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)
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