AUTOMATIC1111 Stable Diffusion WebUI vs Stable Diffusion WebUI Forge
AUTOMATIC1111 Stable Diffusion WebUI
github.com
Stable Diffusion WebUI Forge
github.comSide by side
| Figure | AUTOMATIC1111 Stable Diffusion WebUI | Stable Diffusion WebUI Forge |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | 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) | 8.9 (#12) |
| API | The README lists an API, and the wiki says to enable it with the --api command-line argument. | The README lists txt2img and img2img API endpoints as normal in its status table, with improved Flux support pending. |
| API access | Yes | Yes |
| Image editing | Features include color sketch, prompt matrix, tiling, and batch processing. | Yes |
| Installation | The README links installation instructions for NVIDIA and AMD GPUs, Intel CPUs and GPUs, Ascend NPUs, and Apple Silicon. | The README recommends a one-click installation package that includes Git and Python, with CUDA 12.1 and PyTorch 2.3.1. |
| License | The repository identifies its license as AGPL-3.0. | The repository identifies its license as AGPL-3.0. |
| Model support | The project lists support for Stable Diffusion 2.0, Alt-Diffusion, and Segmind Stable Diffusion. | The README says Flux BitsandBytes NF4 and several GGUF quantizations are natively supported, with LoRA support for specified NF4 and GGUF variants. |
| Output formats | PNG,JPEG | PNG,JPG,JPEG,WebP,AVIF,GIF |
| Purpose | Stable Diffusion web UI is a browser interface for Stable Diffusion built with the Gradio library. | Forge is a platform built on Stable Diffusion WebUI and Gradio to ease development, optimize resource management, speed up inference, and study experimental features. |
| Reference images | Yes | Yes |
| Security | The repository's Security page opened, but the page content did not provide a security or compliance statement. | The repository's Security page is titled Overview and provides no security or compliance details in the opened page. |
| Support | The wiki includes setup, usage, troubleshooting, and developer documentation pages. | The maintainer invites users to open issues for problems and says they will check them every several days. |
| 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.
Stable Diffusion WebUI Forge
Stable Diffusion WebUI Forge is a free, open-source platform built on Stable Diffusion WebUI for image generation and editing. It supports text-to-image creation, reference images, and image editing, with PNG, JPG, JPEG, WebP, AVIF, and GIF listed as output formats. The project aims to ease development, manage resources, speed inference, and explore experimental features. Its interface is based on Gradio, and the README offers a one-click installation package that includes Git and Python. Windows launch scripts, shell scripts, a macOS environment script, and source installation instructions are listed. Forge includes GPU memory management and components such as LoRAs, ControlNets, IP-Adapters, Instant-IDs, reference-only methods, and extensions. Several Flux BitsandBytes and GGUF variants are natively supported, with GPU weight and swap controls; some variants support LoRA. The README lists txt2img and img2img API endpoints as normal, while improved Flux support is pending. The project is described as under construction, so its documentation, interface, and functionality may change. Its license is AGPL-3.0.