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LoRA-scripts (a.k.a SD-Trainer)

LoRA & Dreambooth training GUI & scripts preset & one key training environment for kohya-ss/sd-scripts

The REAL Stable Diffusion Training Studio. Everything in one WebUI.

Follow the installation guide below to install the GUI, then run run_gui.ps1(windows) or run_gui.sh(linux) to start the GUI.

Tensorboard	WD 1.4 Tagger	Tag Editor

Python 3.10 and Git

git clone --recurse-submodules https://github.com/Akegarasu/lora-scripts

Run install.ps1 will automatically create a venv for you and install necessary deps. If you are in China mainland, please use install-cn.ps1

run run_gui.ps1, then program will open http://127.0.0.1:28000 automanticlly

Run install.bash will create a venv and install necessary deps.

run bash run_gui.sh, then program will open http://127.0.0.1:28000 automanticlly

Run install.ps1 will automatically create a venv for you and install necessary deps.

Edit train.ps1, and run it.

Run install.bash will create a venv and install necessary deps.

Training script train.sh will not activate venv for you. You should activate venv first.

source venv/bin/activate

Edit train.sh, and run it.

Run tensorboard.ps1 will start TensorBoard at http://localhost:6006/

Parameter Name	Type	Default Value	Description
--host	str	"127.0.0.1"	Hostname for the server
--port	int	28000	Port to run the server
--listen	bool	false	Enable listening mode for the server
--skip-prepare-environment	bool	false	Skip the environment preparation step
--disable-tensorboard	bool	false	Disable TensorBoard
--disable-tageditor	bool	false	Disable tag editor
--tensorboard-host	str	"127.0.0.1"	Host to run TensorBoard
--tensorboard-port	int	6006	Port to run TensorBoard
--localization	str		Localization settings for the interface
--dev	bool	false	Developer mode to disale some checks