87 lines
2.5 KiB
Markdown
87 lines
2.5 KiB
Markdown
<div align="center">
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<img src="https://github.com/Akegarasu/lora-scripts/assets/36563862/3b177f4a-d92a-4da4-85c8-a0d163061a40" width="200" height="200" alt="SD-Trainer" style="border-radius: 25px">
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# SD-Trainer
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_✨ Enjoy Stable Diffusion Train！ ✨_
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</div>
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<p align="center">
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<a href="https://github.com/Akegarasu/lora-scripts" style="margin: 2px;">
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<img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/Akegarasu/lora-scripts">
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</a>
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<a href="https://github.com/Akegarasu/lora-scripts" style="margin: 2px;">
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<img alt="GitHub forks" src="https://img.shields.io/github/forks/Akegarasu/lora-scripts">
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</a>
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<a href="https://raw.githubusercontent.com/Akegarasu/lora-scripts/master/LICENSE" style="margin: 2px;">
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<img src="https://img.shields.io/github/license/Akegarasu/lora-scripts" alt="license">
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</a>
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<a href="https://github.com/Akegarasu/lora-scripts/releases" style="margin: 2px;">
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<img src="https://img.shields.io/github/v/release/Akegarasu/lora-scripts?color=blueviolet&include_prereleases" alt="release">
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</a>
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</p>
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<p align="center">
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<a href="https://github.com/Akegarasu/blive-queue/releases">Download</a>
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·
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<a href="https://github.com/Akegarasu/blive-queue/blob/main/README.md">Documents</a>
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·
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<a href="https://github.com/Akegarasu/lora-scripts/blob/main/README-zh.md">中文README</a>
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</p>
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LoRA-scripts (a.k.a SD-Trainer)
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LoRA & Dreambooth training GUI & scripts preset & one key training environment for [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts.git)
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## ✨NEW: Train GUI
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Follow the installation guide below to install the GUI, then run `run_gui.ps1`(windows) or `run_gui.sh`(linux) to start the GUI.
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## Usage
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### Clone repo with submodules
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```sh
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git clone --recurse-submodules https://github.com/Akegarasu/lora-scripts
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```
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### Required Dependencies
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Python 3.10.8 and Git
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### Windows
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#### Installation
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Run `install.ps1` will automaticilly create a venv for you and install necessary deps.
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#### Train
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Edit `train.ps1`, and run it.
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### Linux
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#### Installation
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Run `install.bash` will create a venv and install necessary deps.
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#### Train
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Training script `train.sh` **will not** activate venv for you. You should activate venv first.
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```sh
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source venv/bin/activate
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```
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Edit `train.sh`, and run it.
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#### TensorBoard
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Run `tensorboard.ps1` will start TensorBoard at http://localhost:6006/
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