June 11, 2023

What is Outpainting and How Does it Work on BlueWillow?

Written by
James Ryan

We are excited to announce that we have launched today a new feature that many members of our community have been asking for:  outpainting! What exactly is outpainting? In AI image generation, outpainting means extending the borders of an image or giving you additional variations on the edges of your image.

Outpainting is essentially the opposite of inpainting, a technique used to fill in missing or damaged parts of an image. While inpainting is useful in, say, restoring old or damaged photographs or fixing random glitches in an image, outpainting is used to expand the visual narrative of an image, providing context and additional details that are not present in the original picture.  BlueWillow considers this a beta release of the feature and we know it is not perfect yet. You may have to play with it a bit to get usable results but we hope it will be a fun addition to your arsenal of tools to make better images. 

How Does Outpainting Work on BlueWillow?

The way outpainting works on BlueWillow is that once you create an upscaled image you will see 4 arrow buttons. The buttons correspond to the left, right, top and bottom edges of the image.

In less than 60 seconds after you click one of the buttons, BlueWillow will generate 4 new images with new content generated in the area you selected.

In the examples shown below, content variations have been added to the right side and bottom or foreground of the image.

Right side outpainting.
Bottom outpainting.

What is the Technology of Outpainting

So how does outpainting work from a technological point of view? At its core, BlueWillow outpainting relies on deep learning algorithms that analyze large datasets of images to identify patterns and generate new content. These algorithms use a variety of techniques, including convolutional neural networks and generative adversarial networks, to learn the features and patterns that make up an image and use this knowledge to generate new visual content.

To generate outpainting, the AI model is trained on a dataset of images that share similar characteristics or themes. For example, an AI model trained on landscape photographs might be able to generate new content that seamlessly provides variations on the sky, trees, or water in an existing image.

This content can be highly realistic and detailed, blending seamlessly with the existing image to create a more immersive and visually compelling experience. BlueWillow's algorithms place it among the best AI picture generators in the world.

The Limitations of Outpainting

While outpainting has great potential, it is not without its limitations. Generating new content that matches the style and characteristics of an existing image requires a lot of computational power and large datasets, which can be difficult to obtain. Additionally, AI-generated content may not always be contextually appropriate, and it may require some additional input from you to ensure that it meets your desired standards and needs.

Despite these challenges, we are bringing you this new feature because many of you asked for it and it holds great potential for the future of AI-generated image content. With your support of our continued research and development, BlueWillow will be able to develop even more sophisticated and effective outpainting techniques in the future. To support us through our Pay-What-You-Can-Program please go to our Discord server and type /subscribe.