integrate stable diffusion outpainting pipeline

[juanArias8]

Stable Diffusion outpainting is a technique that uses a latent diffusion model to extend an image beyond its original borders. This can be used to create large-scale detailed graphics or to extend existing images without limits.

To use Stable Diffusion outpainting, you first need to start with an image. You can use any image, but it is best to use an image that has a clear subject and a well-defined background. Once you have an image, you need to select the area that you want to extend. You can do this by using a brush tool or by drawing a rectangle around the area.

Once you have selected the area, you need to provide a text prompt. The text prompt can be anything you want, but it is best to be specific. For example, if you want to extend the image of a forest, you could provide a text prompt like "a lush green forest with a winding path."

The model will then generate a new image that extends the original image. The new image will be in the same style as the original image, and it will be coherent with the surrounding area.

• https://bytexd.com/how-to-use-outpainting-with-stable-diffusion-infinity-colab/
• https://github.com/lkwq007/stablediffusion-infinity
• https://huggingface.co/spaces/Rothfeld/stable-diffusion-mat-outpainting-primer/blob/main/outpainting_example2.py
• https://huggingface.co/spaces/Rothfeld/stable-diffusion-mat-outpainting-primer/blob/main/outpainting_example1.py