SD-Trainer # SD-Trainer _✨ Enjoy Stable Diffusion Train! ✨_

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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](https://github.com/kohya-ss/sd-scripts.git) ## ✨NEW: Train WebUI 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. ![image](https://github.com/Akegarasu/lora-scripts/assets/36563862/d3fcf5ad-fb8f-4e1d-81f9-c903376c19c6) | Tensorboard | WD 1.4 Tagger | Tag Editor | | ------------ | ------------ | ------------ | | ![image](https://github.com/Akegarasu/lora-scripts/assets/36563862/b2ac5c36-3edf-43a6-9719-cb00b757fc76) | ![image](https://github.com/Akegarasu/lora-scripts/assets/36563862/9504fad1-7d77-46a7-a68f-91fbbdbc7407) | ![image](https://github.com/Akegarasu/lora-scripts/assets/36563862/4597917b-caa8-4e90-b950-8b01738996f2) | # Usage ### Required Dependencies Python 3.10 and Git ### Clone repo with submodules ```sh git clone --recurse-submodules https://github.com/Akegarasu/lora-scripts ``` ## ✨ SD-Trainer GUI ### Windows #### Installation 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` #### Train run `run_gui.ps1`, then program will open [http://127.0.0.1:28000](http://127.0.0.1:28000) automanticlly ### Linux #### Installation Run `install.bash` will create a venv and install necessary deps. #### Train run `bash run_gui.bash`, then program will open [http://127.0.0.1:28000](http://127.0.0.1:28000) automanticlly ## Legacy training through run script manually ### Windows #### Installation Run `install.ps1` will automatically create a venv for you and install necessary deps. #### Train Edit `train.ps1`, and run it. ### Linux #### Installation Run `install.bash` will create a venv and install necessary deps. #### Train Training script `train.sh` **will not** activate venv for you. You should activate venv first. ```sh source venv/bin/activate ``` Edit `train.sh`, and run it. #### TensorBoard Run `tensorboard.ps1` will start TensorBoard at http://localhost:6006/ ## Program arguments | 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 |