LoRAs or “Low-Rank Adaptations” are essentially AI model “extensions” that let you get the results you want from those models more easily. This is especially true if the content you want to generate comes from outside the training set of the model you’re using to generate your art.
For example, let’s say you want to generate watercolor paintings of your face. Well, this would not be possible with just the base model because it has no concept of what you look like.
However, you could use pictures of your face to create a custom LoRA that does know what your face looks like. You would then be able to “plug” this LoRA in to a generative model (varies depending on what you’re using to generate) and literally “extend” that model’s “knowledge” to include your face.
Well, before lorai one of the “easiest” ways to make LoRAs was to use a google colab notebook and “execute” multiple cells that would run python code and add the LoRA file to your Google Drive.
Another one was to run a python script from github that would open a web ui on a local server so that you could make LoRAs on your computer rather than in the cloud (however, you need to have a pretty powerful computer for the LoRA to be trained quickly enough, even with a Macbook pro with an M2 chip it would take me hours to train a LoRA).
lorai lets you simply drag and drop images (of your face for example) to train a custom LoRA.
It’s never been easier to make LoRAs. So let’s get started.
First go to lorai’s app by clicking here.
you’ll land on the “explore page”. this page allows you to download LoRAs that other artists have created on the app so you can give them a spin!
This part is pretty easy! Simply click on the “join via email” button that appears in the create page, enter + verify your email, and you’re good to go!
If you want to train a LoRA that can be used to generate art around a video game character, upload good images of that video game character. If you want to make a LoRA that you can use to generate art/pics of you, upload good images of yourself.