Fine-tuning Stable Diffusion XL with Ray Train
⏱️ Time to complete: 10 min
This template shows you how to do Dreambooth fine-tuning, which is a method of personalizing a stable diffusion model on a few examples (3~5) of a subject.

In this tutorial, you will learn about:
- How to easily scale out an existing HuggingFace
diffusers
example to run on a Ray cluster with minimal modifications. - Basic features of Ray Train such as specifying the number of training workers and the desired accelerator type.
- Anyscale's smart instance selection and autoscaling that makes it simple to scale up your training workload to any size.