Image generationApache-2.0Python

SD.Next

All-in-one WebUI supporting dozens of diffusion models and every GPU backend.

Stars
7.4K
Forks
584
Open issues
59
Last commit
2026-10-14

Live from the GitHub API · updated 2026-10-15

What is SD.Next?

SD.Next began as a fork of the A1111 WebUI and grew into a separate project built on Diffusers. It supports a very wide range of image and video models and backends — CUDA, ROCm, Intel IPEX, DirectML, OpenVINO and Apple MPS — with a modern UI.

Key features

  • Supports many model families via Diffusers
  • Broad hardware support including Intel Arc and AMD on Windows
  • Built-in model downloader and queue
  • Extensive documentation wiki

System requirements

Platforms
Windows · Linux · macOS · Docker
GPU
NVIDIA, AMD, Intel Arc, Apple Silicon or CPU (OpenVINO)
VRAM
4 GB+ depending on model
RAM
16 GB+

How to install SD.Next

Summarized from the project’s README. Projects change quickly — check the GitHub page for the latest instructions.

All platforms

  1. 1
    Clone the repository.
    git clone https://github.com/vladmandic/sdnext
    cd sdnext
  2. 2
    Run webui.bat (Windows) or ./webui.sh (Linux/macOS). Add --debug to see detailed setup logs.

Strengths

  • Widest hardware support
  • Fast model adoption
  • Active development

Limitations

  • Many options can overwhelm beginners
  • Smaller community than A1111/ComfyUI

SD.Next alternatives compared

SoftwareStarsLicensePlatformsVRAM
SD.Next

All-in-one WebUI supporting dozens of diffusion models and every GPU backend.

7.4KApache-2.04 GB+ depending on model
Stable Diffusion WebUI Forge

A faster, leaner fork of the A1111 WebUI with FLUX support.

13.1KAGPL-3.06 GB+ (FLUX NF4/GGUF variants run on 6–8 GB)
ComfyUI

Node-based interface for diffusion models — images, video and audio.

137.6KGPL-3.04 GB minimum for SD1.5; 12 GB+ recommended for FLUX and video models
Stable Diffusion WebUI (AUTOMATIC1111)

The classic browser UI for Stable Diffusion with a massive extension ecosystem.

165.1KAGPL-3.04 GB minimum (with --medvram/--lowvram), 8 GB+ recommended
Fooocus

Midjourney-like simplicity for SDXL: type a prompt and press Generate.

53.4KGPL-3.04 GB minimum, 6 GB+ recommended
InvokeAI

Professional creative engine with a unified canvas for Stable Diffusion and FLUX.

28.6KApache-2.04 GB for SD1.5, 8 GB for SDXL, 10 GB+ for FLUX

Related models

FAQ

Is SD.Next free?

Yes — SD.Next is open-source software released under the Apache-2.0 license. Check the license (and any model weight licenses) before commercial use.

Does SD.Next run on Windows, Mac and Linux?

SD.Next supports: Windows, Linux, macOS, Docker.

What hardware do I need for SD.Next?

NVIDIA, AMD, Intel Arc, Apple Silicon or CPU (OpenVINO). VRAM: 4 GB+ depending on model. RAM: 16 GB+

How do I install SD.Next?

1. Clone the repository. 2. Run webui.bat (Windows) or ./webui.sh (Linux/macOS). Add --debug to see detailed setup logs.

What are the best SD.Next alternatives?

Popular alternatives include Stable Diffusion WebUI Forge, ComfyUI, Stable Diffusion WebUI (AUTOMATIC1111), Fooocus. See the comparison table on this page.

Can I use SD.Next online without installing it?

If you just want results, AiLoft runs top image models such as GPT Image 2.5 and Nano Banana Pro in the browser — no GPU or setup required.

Skip the install — generate images in your browser

No GPU, drivers or Python needed. Use GPT Image 2.5 and Nano Banana Pro online and compare them side by side.