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✦ Free & open sourceGraphic Design

SD.Next

A web interface and server for image and video generation that runs on Nvidia, AMD, Intel, Apple and CPU-only hardware.

SD.Next: image and video generation on any GPU

One web UI for dozens of models, with backends for Nvidia, AMD, Intel Arc, Apple Silicon and CPU.

Free forever · open source · Apache-2.0
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.3
ZEKAI
Best for non-Nvidia GPUs
Free & open source · Graphic Design
Ease of setup5
Usefulness7
Maintenance9.5
Community7.5
★ 7,380
GITHUB
Nov 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

SD.Next is an open-source server application and web interface for generating images and video with Stable Diffusion and many newer models. It suits people with non-Nvidia hardware or a Mac who still want a local, extensible interface.

Runs on
Web
Hosting
Self-host
Languages
Python
License
Apache-2.0

What it is

You clone the repository, launch it with webui.sh, webui.bat or webui.ps1, and its built-in installer manages dependencies and updates. The README lists support for dozens of models and a Balanced Offload feature for running larger models on limited hardware.

Who it's for

It suits tinkerers who want one interface across several GPU vendors, including AMD ROCm or ZLUDA and Intel Arc. It does not suit anyone after a one-click consumer app or a hosted service with support.

Key features

Many GPU backends

CUDA, ROCm, ZLUDA, Intel IPEX, OpenVINO, DirectML and Apple MPS.

Dozens of models

One interface covers a broad, frequently updated model list.

Balanced Offload

Moves model parts to run larger models on limited VRAM.

Built-in installer

Automatic updates and dependency management on launch.

Image and video

Generates both still images and video clips.

Docker recipes

Container recipes for CUDA, ROCm, Intel IPEX and OpenVINO.

How to start

Up and running in 3 steps

1
Clone https://github.com/vladmandic/sdnext and read the installation instructions in its documentation.
2
Run ./webui.sh on Linux or Mac, webui.bat on Windows, or webui.ps1 in PowerShell.
3
Open the web interface, pick a model from the model list and generate your first image.
Real talk

Our honest verdict

What's great

  • Runs on Nvidia, AMD, Intel Arc, Apple Silicon and CPU-only machines, which most local image tools do not cover.
  • Apache-2.0 licence for the code, so you can use it in commercial work.
  • Installer handles dependencies and updates itself after you clone the repo.
  • Docker recipes exist for four GPU stacks if you prefer containers.

Where it falls short

  • Needs a local GPU for reasonable speed; the README gives no minimum VRAM, so check each model's own requirements.
  • Model weights are downloaded separately and each has its own licence you must read.
  • The README points to external docs for most setup details, so first install takes reading.
  • Not a hosted service: you handle updates, drivers and disk space yourself.
Cost

Pricing & license

Free under Apache-2.0. The only cost is the hardware and electricity you run it on; the project shows no paid hosted plan.

Paid work

Open remote AI-training roles

767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

See all open roles →
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📄 Free PDF: SD.Next for Graphic Design
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Questions

FAQ

Does SD.Next work on AMD or Intel GPUs?

Yes. The README lists AMD GPUs through ROCm on Linux and Windows or ZLUDA on Windows, and Intel Arc through OneAPI with IPEX on Windows and Linux.

Can I use SD.Next commercially?

The code is Apache-2.0. Models you load carry their own licences, so check each one before commercial use.

Can it run without a GPU?

The README mentions CPU-only execution, but expect slow generation; a GPU is the normal way to use it.

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