SD.Next vs Stable Diffusion WebUI Forge
SD.Next
github.com
Stable Diffusion WebUI Forge
github.comSide by side
| Figure | SD.Next | Stable Diffusion WebUI Forge |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | 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 | 1 | 1 |
| Spec score · AI image generators | 8.9 (#13) | 8.9 (#12) |
| API access | Yes | Yes |
| Image editing | Yes | Yes |
| Installation | The project provides installation instructions and quick-start scripts for Linux and Mac, Windows batch files, and PowerShell. | The README recommends a one-click installation package that includes Git and Python, with CUDA 12.1 and PyTorch 2.3.1. |
| Interface | The project describes desktop and mobile interfaces and localization in about 15 languages. | The project says Stable Diffusion WebUI is based on Gradio. |
| License | The GitHub repository identifies Apache-2.0 as the project license. | The repository identifies its license as AGPL-3.0. |
| Model support | SD.Next supports a broad range of diffusion models and can automatically download selected reference models. | 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,JPG | PNG,JPG,JPEG,WebP,AVIF,GIF |
| Purpose | SD.Next is an open-source server application and web interface for AI image and video generation, captioning, and processing. | 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 |
| Support | The README directs users to documentation, Discord, GitHub issues, and discussions for help. | The maintainer invites users to open issues for problems and says they will check them every several days. |
| Text-to-image | Yes | Yes |
Plans
In their own words
SD.Next
SD.Next is an open-source server application and web interface for generating, editing, captioning, upscaling and processing AI images and videos. Workflows include text-to-image, image-to-image, text-to-video, image-to-video, inpainting and outpainting, with PNG and JPG output. The project supports dozens of models and can automatically download selected reference models. Guidance features include LoRA, ControlNet, IPAdapters and Prompt Enhance. Image processing tools cover captioning, tagging, upscaling, interpolation, colorization, filtering and color correction. SDNQ quantization is described as reducing VRAM use by up to 4x; Balanced Offload balances CPU and GPU memory for larger models on limited hardware. Listed hardware options include CUDA, ROCm, ZLUDA, Intel IPEX XPU, OpenVINO, DirectML, Apple M1/M2 MPS, ONNX/Olive and CPU-only execution. SD.Next runs on Linux, macOS and Windows, and provides API access. The project describes desktop and mobile interfaces and localization in about 15 languages. Its security policy says it does not send or share data externally, track user or system data, store inputs or results, or use analytics services. The repository identifies Apache-2.0 as its license.
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.