Stability AI recently open-sourced SDXL, the newest and most powerful version of Stable Diffusion yet. Replicate was ready from day one with a hosted version of SDXL that you can run from the web or using our cloud API.
Today, we’re following up to announce fine-tuning support for SDXL 1.0. Fine-tuning allows you to train SDXL on a particular object or style, and create a new model that generates images of those objects or styles. For example, we fine-tuned SDXL on images from the Barbie movie and our colleague Zeke. There are multiple ways to fine-tune SDXL, such as Dreambooth, LoRA diffusion (Originally for LLMs), and Textual Inversion. We’ve got all of these covered for SDXL 1.0.
In this post, we’ll show you how to fine-tune SDXL on your own images with one line of code and publish the fine-tuned result as your own hosted public or private model. You can train your model with just a few images, and the training process takes about 10-15 minutes. You can also download your fine-tuned LoRA weights to use elsewhere.
Contents
What is fine-tuning?
