mirror of https://github.com/bmaltais/kohya_ss
Update installation instructions
parent
7b527e303e
commit
bb5492850a
51
README.md
51
README.md
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@ -13,10 +13,13 @@ The GUI allows you to set the training parameters and generate and run the requi
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- [Windows](#windows)
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- [Windows Pre-requirements](#windows-pre-requirements)
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- [Setup Windows](#setup-windows)
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- [Optional: CUDNN 8.9.6.50](#optional-cudnn-89650)
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- [Using uv based package manager](#using-uv-based-package-manager)
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- [Using the pip package manager](#using-the-pip-package-manager)
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- [Linux and macOS](#linux-and-macos)
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- [Linux Pre-requirements](#linux-pre-requirements)
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- [Setup Linux](#setup-linux)
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- [Using uv based package manager](#using-uv-based-package-manager-1)
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- [Using pip based package manager](#using-pip-based-package-manager)
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- [Install Location](#install-location)
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- [Runpod](#runpod)
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- [Manual installation](#manual-installation)
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@ -91,6 +94,8 @@ To install the necessary dependencies on a Windows system, follow these steps:
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#### Setup Windows
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##### Using uv based package manager
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To set up the project, follow these steps:
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1. Open a terminal and navigate to the desired installation directory.
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@ -107,9 +112,25 @@ To set up the project, follow these steps:
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cd kohya_ss
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```
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4. If you want to use the new uv based version of the script to run the GUI, you do not need to follow this step. On the other hand, if you want to use the legacy "pip" based method, please follow this next step.
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##### Using the pip package manager
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Run one of the following setup script by executing the following command:
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To set up the project, follow these steps:
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1. Open a terminal and navigate to the desired installation directory.
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2. Clone the repository by running the following command:
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```shell
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git clone --recursive https://github.com/bmaltais/kohya_ss.git
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```
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3. Change into the `kohya_ss` directory:
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```shell
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cd kohya_ss
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```
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4. Run one of the following setup script by executing the following command:
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For systems with only python 3.10.11 installed:
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@ -125,11 +146,11 @@ To set up the project, follow these steps:
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During the accelerate config step, use the default values as proposed during the configuration unless you know your hardware demands otherwise. The amount of VRAM on your GPU does not impact the values used.
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#### Optional: CUDNN 8.9.6.50
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5. Optional: CUDNN 8.9.6.50
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The following steps are optional but will improve the learning speed for owners of NVIDIA 30X0/40X0 GPUs. These steps enable larger training batch sizes and faster training speeds.
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1. Run `.\setup.bat` and select `2. (Optional) Install cudnn files (if you want to use the latest supported cudnn version)`.
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Run `.\setup.bat` and select `2. (Optional) Install cudnn files (if you want to use the latest supported cudnn version)`.
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### Linux and macOS
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@ -149,6 +170,26 @@ To install the necessary dependencies on a Linux system, ensure that you fulfill
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#### Setup Linux
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##### Using uv based package manager
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To set up the project on Linux or macOS, perform the following steps:
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1. Open a terminal and navigate to the desired installation directory.
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2. Clone the repository by running the following command:
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```shell
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git clone --recursive https://github.com/bmaltais/kohya_ss.git
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```
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3. Change into the `kohya_ss` directory:
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```shell
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cd kohya_ss
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```
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##### Using pip based package manager
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To set up the project on Linux or macOS, perform the following steps:
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1. Open a terminal and navigate to the desired installation directory.
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@ -1,110 +0,0 @@
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import argparse
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import gradio as gr
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import os
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from kohya_gui.dreambooth_gui import dreambooth_tab
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from kohya_gui.utilities import utilities_tab
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from kohya_gui.custom_logging import setup_logging
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from kohya_gui.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("./assets/style.css"):
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with open(os.path.join("./assets/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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interface = gr.Blocks(css=css, title="Kohya_ss GUI", theme=gr.themes.Default())
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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("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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# 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 = kwargs.get("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"] = share
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interface.launch(**launch_kwargs)
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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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)
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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=args.share,
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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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@ -1,97 +0,0 @@
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import argparse
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import gradio as gr
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import os
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from kohya_gui.utilities import utilities_tab
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from kohya_gui.finetune_gui import finetune_tab
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from kohya_gui.custom_logging import setup_logging
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from kohya_gui.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("./assets/style.css"):
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with open(os.path.join("./assets/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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interface = gr.Blocks(css=css, title="Kohya_ss GUI", theme=gr.themes.Default())
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with interface:
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with gr.Tab("Finetune"):
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finetune_tab(headless=headless)
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with gr.Tab("Utilities"):
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utilities_tab(enable_dreambooth_tab=False, headless=headless)
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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 = kwargs.get("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"] = share
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interface.launch(**launch_kwargs)
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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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)
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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=args.share,
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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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@ -1,118 +0,0 @@
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import argparse
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import gradio as gr
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import os
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from kohya_gui.utilities import utilities_tab
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from kohya_gui.lora_gui import lora_tab
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from kohya_gui.custom_logging import setup_logging
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from kohya_gui.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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try:
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# Your main code goes here
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while True:
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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("./assets/style.css"):
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with open(os.path.join("./assets/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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interface = gr.Blocks(
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css=css, title="Kohya_ss GUI", theme=gr.themes.Default()
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)
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with interface:
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with gr.Tab("LoRA"):
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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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) = lora_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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# 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 = kwargs.get("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"] = share
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log.info(launch_kwargs)
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interface.launch(**launch_kwargs)
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except KeyboardInterrupt:
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# Code to execute when Ctrl+C is pressed
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print("You pressed Ctrl+C!")
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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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)
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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=args.share,
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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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@ -1,110 +0,0 @@
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import argparse
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import gradio as gr
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import os
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from kohya_gui.textual_inversion_gui import ti_tab
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from kohya_gui.utilities import utilities_tab
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from kohya_gui.custom_logging import setup_logging
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from kohya_gui.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("./assets/style.css"):
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with open(os.path.join("./assets/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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interface = gr.Blocks(css=css, title="Kohya_ss GUI", theme=gr.themes.Default())
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with interface:
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with gr.Tab("Dreambooth TI"):
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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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) = ti_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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# 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 = kwargs.get("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"] = share
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interface.launch(**launch_kwargs)
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|
||||
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")
|
||||
parser.add_argument(
|
||||
"--headless", action="store_true", help="Is the server headless"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--language", type=str, default=None, help="Set custom language"
|
||||
)
|
||||
|
||||
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,
|
||||
headless=args.headless,
|
||||
language=args.language,
|
||||
)
|
||||
|
|
@ -1,69 +0,0 @@
|
|||
import argparse
|
||||
import gradio as gr
|
||||
import os
|
||||
|
||||
from kohya_gui.utilities import utilities_tab
|
||||
|
||||
from kohya_gui.custom_logging import setup_logging
|
||||
from kohya_gui.localization_ext import add_javascript
|
||||
|
||||
|
||||
# Set up logging
|
||||
log = setup_logging()
|
||||
|
||||
|
||||
def UI(**kwargs):
|
||||
css = ''
|
||||
|
||||
if os.path.exists('./assets/style.css'):
|
||||
with open(os.path.join('./assets/style.css'), 'r', encoding='utf8') as file:
|
||||
print('Load CSS...')
|
||||
css += file.read() + '\n'
|
||||
|
||||
interface = gr.Blocks(css=css)
|
||||
|
||||
with interface:
|
||||
utilities_tab()
|
||||
|
||||
# Show the interface
|
||||
launch_kwargs = {}
|
||||
if not kwargs.get('username', None) == '':
|
||||
launch_kwargs['auth'] = (
|
||||
kwargs.get('username', None),
|
||||
kwargs.get('password', None),
|
||||
)
|
||||
if kwargs.get('server_port', 0) > 0:
|
||||
launch_kwargs['server_port'] = kwargs.get('server_port', 0)
|
||||
if kwargs.get('inbrowser', False):
|
||||
launch_kwargs['inbrowser'] = kwargs.get('inbrowser', False)
|
||||
print(launch_kwargs)
|
||||
interface.launch(**launch_kwargs)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# torch.cuda.set_per_process_memory_fraction(0.48)
|
||||
parser = argparse.ArgumentParser()
|
||||
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'
|
||||
)
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
UI(
|
||||
username=args.username,
|
||||
password=args.password,
|
||||
inbrowser=args.inbrowser,
|
||||
server_port=args.server_port,
|
||||
)
|
||||
|
|
@ -22,6 +22,7 @@ dependencies = [
|
|||
"library",
|
||||
"lion-pytorch==0.0.6",
|
||||
"lycoris-lora==3.1.0",
|
||||
"nvidia-cudnn-cu11>=8.9.5.29",
|
||||
"omegaconf==2.3.0",
|
||||
"onnx==1.16.1",
|
||||
"onnxruntime-gpu==1.19.2",
|
||||
|
|
|
|||
32
setup-uv.bat
32
setup-uv.bat
|
|
@ -1,32 +0,0 @@
|
|||
@echo off
|
||||
|
||||
IF NOT EXIST venv (
|
||||
echo Creating venv...
|
||||
python -m venv venv
|
||||
)
|
||||
|
||||
:: Create the directory if it doesn't exist
|
||||
mkdir ".\logs\setup" > nul 2>&1
|
||||
|
||||
:: Deactivate the virtual environment to prevent error
|
||||
call .\venv\Scripts\deactivate.bat
|
||||
|
||||
call .\venv\Scripts\activate.bat
|
||||
|
||||
REM first make sure we have setuptools and uv available in the venv
|
||||
python -m pip install --require-virtualenv --no-input -q -q setuptools uv
|
||||
|
||||
REM upgrade pip if needed
|
||||
python -m pip install --upgrade pip -q
|
||||
|
||||
REM Check if the batch was started via double-click
|
||||
IF /i "%comspec% /c %~0 " equ "%cmdcmdline:"=%" (
|
||||
REM echo This script was started by double clicking.
|
||||
cmd /k python .\setup\setup_windows.py
|
||||
) ELSE (
|
||||
REM echo This script was started from a command prompt.
|
||||
python .\setup\setup_windows.py %*
|
||||
)
|
||||
|
||||
:: Deactivate the virtual environment
|
||||
call .\venv\Scripts\deactivate.bat
|
||||
25
uv.lock
25
uv.lock
|
|
@ -772,6 +772,7 @@ dependencies = [
|
|||
{ name = "library" },
|
||||
{ name = "lion-pytorch" },
|
||||
{ name = "lycoris-lora" },
|
||||
{ name = "nvidia-cudnn-cu11" },
|
||||
{ name = "omegaconf" },
|
||||
{ name = "onnx" },
|
||||
{ name = "onnxruntime-gpu" },
|
||||
|
|
@ -822,6 +823,7 @@ requires-dist = [
|
|||
{ name = "library", directory = "sd-scripts" },
|
||||
{ name = "lion-pytorch", specifier = "==0.0.6" },
|
||||
{ name = "lycoris-lora", specifier = "==3.1.0" },
|
||||
{ name = "nvidia-cudnn-cu11", specifier = ">=8.9.5.29" },
|
||||
{ name = "omegaconf", specifier = "==2.3.0" },
|
||||
{ name = "onnx", specifier = "==1.16.1" },
|
||||
{ name = "onnxruntime-gpu", specifier = "==1.19.2" },
|
||||
|
|
@ -1041,6 +1043,17 @@ wheels = [
|
|||
{ url = "https://files.pythonhosted.org/packages/19/77/538f202862b9183f54108557bfda67e17603fc560c384559e769321c9d92/numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5", size = 15808905 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cublas-cu11"
|
||||
version = "11.11.3.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/46/be/c222e33e60d28ecd496a46fc4d78ccae0ee28e1fd7dc705b6288b4cad27e/nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux1_x86_64.whl", hash = "sha256:39fb40e8f486dd8a2ddb8fdeefe1d5b28f5b99df01c87ab3676f057a74a5a6f3", size = 417870452 },
|
||||
{ url = "https://files.pythonhosted.org/packages/96/df/c5ac9ac5096355c47c606e613ecc7aa50fbccf5e0145df857d11da6464b1/nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5ccae9e069a2c6be9af9cb5a0b0c6928c19c7915e390d15f598a1eead2a01a7a", size = 291428448 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ea/2e/9d99c60771d275ecf6c914a612e9a577f740a615bc826bec132368e1d3ae/nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux2014_x86_64.whl", hash = "sha256:60252822adea5d0b10cd990a7dc7bedf7435f30ae40083c7a624a85a43225abc", size = 417870460 },
|
||||
{ url = "https://files.pythonhosted.org/packages/0b/1d/7a78cd36fd5e3da4021b3ac2c2c8b2651dd72345b7c3ecc0d3e051884f50/nvidia_cublas_cu11-11.11.3.6-py3-none-win_amd64.whl", hash = "sha256:6ab12b1302bef8ac1ff4414edd1c059e57f4833abef9151683fb8f4de25900be", size = 427234740 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cublas-cu12"
|
||||
version = "12.4.5.8"
|
||||
|
|
@ -1073,6 +1086,18 @@ wheels = [
|
|||
{ url = "https://download.pytorch.org/whl/cu124/nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cudnn-cu11"
|
||||
version = "9.8.0.87"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-cublas-cu11" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/22/32/6385ef0da5e01553e3b8ad55428fd4824cbff29ff941185082b17f030c9e/nvidia_cudnn_cu11-9.8.0.87-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:11aa6d2d6bb3aaa0ce15d06557c729c79b9ecae05679538ef2afc47b8d02bce9", size = 434538620 },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/2e/357359964ab4b369e060a39643e7a82fa68ffde74dabfe118654a156c2e6/nvidia_cudnn_cu11-9.8.0.87-py3-none-win_amd64.whl", hash = "sha256:fbf7bfb3a8a250f852ca49b1158bac0cf4d134af84cb3dbdf6085b6fad936632", size = 428351602 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cudnn-cu12"
|
||||
version = "9.1.0.70"
|
||||
|
|
|
|||
Loading…
Reference in New Issue