AUTOMATIC1111 Stable Diffusion WebUI vs Fooocus
AUTOMATIC1111 Stable Diffusion WebUI
github.comFooocus
github.comSide by side
| Figure | AUTOMATIC1111 Stable Diffusion WebUI | Fooocus |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · AI image generators | 8.1 (#47) | 8.4 (#33) |
| Spec score · Image Generator | 8.1 (#13) | 8.4 (#6) |
| Spec score · AI Image-to-Image Generators | 8.0 (#13) | 8.3 (#7) |
| API access | Yes | Yes |
| Free plan | Yes | Yes |
| Image editing | Features include color sketch, prompt matrix, tiling, and batch processing. | Its listed functions include image variation and upscaling, inpainting, outpainting, and image prompts. |
| Integrations | The README lists integrations or support for xformers, DeepDanbooru, and Composable-Diffusion. | The README identifies Gradio as its base and describes using InsightFace for FaceSwap and Civitai SDXL models. |
| Purpose | Stable Diffusion web UI is a browser interface for Stable Diffusion built with the Gradio library. | Fooocus is image-generating software based on Gradio. |
| Reference images | Yes | Yes |
| Security | The repository's Security page opened, but the page content did not provide a security or compliance statement. | GitHub reports that the repository has no security policy file and no published security advisories. |
| Text-to-image | Yes | Yes |
Plans
AUTOMATIC1111 Stable Diffusion WebUI
No plans published.
In their own words
AUTOMATIC1111 Stable Diffusion WebUI
AUTOMATIC1111 Stable Diffusion WebUI is a Gradio-based interface for generating and editing images with Stable Diffusion. It provides text-to-image and image-to-image modes, plus inpainting, outpainting, color sketch, and prompt matrix tools. The Extras tab offers face restoration and upscaling tools including GFPGAN, CodeFormer, RealESRGAN, ESRGAN, SwinIR, Swin2SR, and LDSR. Users can train embeddings and hypernetworks, use LoRAs, and add custom scripts or community extensions. The project lists support for Stable Diffusion 2.0, Alt-Diffusion, and Segmind Stable Diffusion, and includes an API. It provides installation instructions for Windows, Linux, and Apple Silicon Macs, and lists PNG and JPEG output. The README recommends NVIDIA GPUs and links setup guidance for AMD GPUs, Intel CPUs and GPUs, and Ascend NPUs. Its one-click installation still needs Python and Git installed. The project lists support for 4 GB video cards, with reports of 2 GB working. It is free and self-hosted.