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