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| assets | ||
| config | ||
| frontend@5e111902c7 | ||
| huggingface | ||
| logs | ||
| mikazuki | ||
| output | ||
| sd-models | ||
| sd-scripts@adf99a332e | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| LICENSE | ||
| README.md | ||
| gui.py | ||
| install-cn.ps1 | ||
| install.bash | ||
| install.ps1 | ||
| interrogate.ps1 | ||
| requirements.txt | ||
| requirements_win.txt | ||
| resize.ps1 | ||
| run_gui.ps1 | ||
| run_gui.sh | ||
| svd_merge.ps1 | ||
| tagger.ps1 | ||
| tagger.sh | ||
| tensorboard.ps1 | ||
| train.ipynb | ||
| train.ps1 | ||
| train.sh | ||
| train_by_toml.ps1 | ||
| train_by_toml.sh | ||
README.md
LoRA-scripts
LoRA training scripts for kohya-ss/sd-scripts
✨NEW: Train GUI
Follow the installation guide below to install the GUI, then run run_gui.ps1(windows) or run_gui.sh(linux) to start the GUI.
Usage
Clone repo with submodules
git clone --recurse-submodules https://github.com/Akegarasu/lora-scripts
Required Dependencies
Python 3.10.8 and Git
Windows
Installation
Run install.ps1 will automaticilly 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.
source venv/bin/activate
Edit train.sh, and run it.
TensorBoard
Run tensorboard.ps1 will start TensorBoard at http://localhost:6006/
