diffusers/pr_13751/en/advanced_inference/outpaint.md

Outpainting

Outpainting extends an image beyond its original boundaries, allowing you to add, replace, or modify visual elements in an image while preserving the original image. Like inpainting, you want to fill the white area (in this case, the area outside of the original image) with new visual elements while keeping the original image (represented by a mask of black pixels). There are a couple of ways to outpaint, such as with a ControlNet or with Differential Diffusion.

This guide will show you how to outpaint with an inpainting model, ControlNet, and a ZoeDepth estimator.

Before you begin, make sure you have the controlnet_aux library installed so you can use the ZoeDepth estimator.

!pip install -q controlnet_aux

Image preparation

Start by picking an image to outpaint with and remove the background with a Space like BRIA-RMBG-1.4.