[4] It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions and features to customize its output.

[3] The study showed that users ascribe SD WebUI's popularity to its ease of installation and support for open source tools.

SD WebUI contains additional parameters not included in Stable Diffusion itself, such as support for Low-rank adaptations, ControlNet and custom variational autoencoders.

[12][13][15] SD WebUI supports prompt weighting, image-to-image based generation, inpainting, outpainting and image scaling.

[18][19] One of Forge's optimizations allowed users with low VRAM to generate images faster on some versions of Stable Diffusion.