# lora-scripts

**Repository Path**: orangeaec/lora-scripts

## Basic Information

- **Project Name**: lora-scripts
- **Description**: LoRA训练脚本使用kohya-ss的训练器，用于扩散模型。

source: https://jihulab.com/Akegarasu/lora-scripts
- **Primary Language**: PowerShell
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: https://github.com/Akegarasu/lora-scripts
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2023-08-02
- **Last Updated**: 2023-08-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LoRA-scripts

LoRA training scripts for [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts.git)

✨NEW: Train GUI

![image](https://github.com/Akegarasu/lora-scripts/assets/36563862/0a2edcb8-023a-4fe6-8c92-2bad9ccab64c)

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

```sh
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.

```sh
source venv/bin/activate
```

Edit `train.sh`, and run it.

#### TensorBoard

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

![](./assets/tensorboard-example.png)