Add Colab section in the README

README.md

@@ -9,6 +9,7 @@ A set of training scripts written in python for use in Kohya's [SD-Scripts](http
 - [Installation](#installation)
   - [Windows](#windows)
   - [Linux](#linux)
+- [Colab](#colab)
 - [Usage](#usage)
 - [Configuration](#configuration)
 - [Changelog](#changelog)
@@ -75,6 +76,11 @@ accelerate config will ask you a bunch of questions, answer them like so,
 
 if you are using one of the installers, one of the questions it will ask you is "Are you using this locally? (y/n):" make sure you say y if you are going to be training on the computer you are using, This is very important to get correctly because the backend will not install otherwise, and you will be stuck wondering why it is not doing anything.
 
+## Colab
+
+If you wish to train LoRAs but you lack the hardware, you can use this [Google Colab](https://colab.research.google.com/github/Jelosus2/Lora_Easy_Training_Colab/blob/main/Lora_Easy_Training_Colab.ipynb) created by [Jelosus2](https://github.com/Jelosus2) to be able to train them.
+Additionaly, you can check the [guide](https://civitai.com/articles/4409/almost-local-lora-training-guide) if you have trouble setting all up. **Note:** You still need to git clone the repo and install the UI on your local machine. Be sure to answer the prompt "Are you using this locally? (y/n):" with "n".
+
 ## Usage
 
 You can launch the UI using the `run.bat` file if you are on windows, or `run.sh` file if you are on linux.