7c5453d15d
* Update requirements.txt modify numpy version * 中国大陆linux系统服务器使用bash run_gui_sourceCN.sh 启动此脚本 自动激活创建好的虚拟环境，将国内镜像替换原网站，解决了分词器等下载失败的问题。 |
||
|---|---|---|
| assets | ||
| config | ||
| frontend@a61f4b8b74 | ||
| huggingface | ||
| logs | ||
| mikazuki | ||
| output | ||
| scripts | ||
| sd-models | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| Dockerfile | ||
| Dockerfile-for-Mainland-China | ||
| LICENSE | ||
| README-zh.md | ||
| README.md | ||
| gui.py | ||
| install-cn.ps1 | ||
| install.bash | ||
| install.ps1 | ||
| interrogate.ps1 | ||
| requirements.txt | ||
| resize.ps1 | ||
| run.ipynb | ||
| run_gui.ps1 | ||
| run_gui.sh | ||
| run_gui_sourceCN.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
SD-Trainer
✨ Enjoy Stable Diffusion Train！ ✨
Download · Documents · 中文README
LoRA-scripts (a.k.a SD-Trainer)
LoRA & Dreambooth training GUI & scripts preset & one key training environment for kohya-ss/sd-scripts
✨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.
| Tensorboard | WD 1.4 Tagger | Tag Editor |
|---|---|---|
Usage
Required Dependencies
Python 3.10 and Git
Clone repo with submodules
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 automanticlly
Linux
Installation
Run install.bash will create a venv and install necessary deps.
Train
run bash run_gui.sh, then program will open 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.
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 |