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---
license: mit
---
# lora-ease-wsl
This is a modified Python script of LoRA Ease from multimodalart to run on locally on Windows 11 via WSL. Thanks to multimodalart for this wonderful script.
Github version of this repo:
[https://github.com/dicksondickson/lora-ease-wsl](https://github.com/dicksondickson/lora-ease-wsl)
Hugging Face version of this repo:
[https://huggingface.co/dicksondickson/lora-ease-wsl](https://huggingface.co/dicksondickson/lora-ease-wsl)
Original repo:
[https://huggingface.co/spaces/multimodalart/lora-ease](https://huggingface.co/spaces/multimodalart/lora-ease)
Thier blog post on the script:
[https://huggingface.co/blog/sdxl_lora_advanced_script](https://huggingface.co/blog/sdxl_lora_advanced_script)
araminta_k's training tutorial:
[https://huggingface.co/blog/alvdansen/training-lora-m3lt](https://huggingface.co/blog/alvdansen/training-lora-m3lt)
# Changelog
v1.1 - Add Apple Metal support.
v1.0 - Init fork and modified to run on Windows WSL.
# Install
Install WSL with Ubuntu (Ubuntu 22.04)
`wsl --install Ubuntu`
You'll be asked to provide a username and password for your Ubuntu install.
You should now be logged into your WSL Ubuntu distro.
Update the system packages:
`sudo apt update`
`sudo apt upgrade`
Install Python related stuff:
`sudo apt install python-is-python3`
`sudo apt install python3-pip`
Check if your Nvidia video card is recognized:
`nvidia-smi`
Make sure you are currently in your home directory:
`cd $home`
`pwd`
Make a new directory to clone lora ease repo:
`mkdir train`
Go into dir:
`cd train`
Clone this repo from Github:
`git clone https://github.com/dicksondickson/lora-ease-wsl.git`
Or from Hugging Face:
`git clone https://huggingface.co/dicksondickson/lora-ease-wsl`
Go into the dir:
`cd lora-ease-wsl`
Install lora ease required dependencies:
`pip install -r requirements_local.txt`
Run the LoRA Ease main python script. This will automatically install other stuff and download required models.
`python app.py`
After that is done, you should be presented with a link to load up the GUI in your web browser:
`Running on local URL: http://127.0.0.1:7860`
Have fun!
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