metadata

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

Hugging Face version of this repo:
https://huggingface.co/dicksondickson/lora-ease-wsl

Original repo:
https://huggingface.co/spaces/multimodalart/lora-ease

Thier blog post on the script:
https://huggingface.co/blog/sdxl_lora_advanced_script

araminta_k's training tutorial:
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!