SD.Next
Another descendant of the AUTOMATIC1111 interface, aimed at breadth: many model families, and AMD and Intel GPUs as first-class targets.
- Self-hosted
- Active
- Allowed adult content
- Open source
At a glance
- Where it runs
- Self-hostedYou run it on your own machine. Nothing leaves it unless you send it.
- Adult content
- AllowedAdult content is permitted within the published rules.
- Trains on your content
- NoYour content is not used to train models.
- Status
- ActiveMaintained and working today.
- Account needed
- No
- Licence
- AGPL-3.0
- Cost
- Free and open source.
- What it keeps
- Local only.
What it takes to run
- Graphics memory
- 4 GB VRAM, 8 GB recommended
- System memory
- 8 GB, 16 GB recommended
- Disk
- about 15 GB
- Runs on
- Linux, macOS, Windows
Find what fits your machine on the tools page — pick your hardware from the first menu.
Where Forge optimised for speed on NVIDIA cards, SD.Next went wide — more backends, more model architectures, and genuine support for AMD and Intel hardware rather than a community patch.
If your graphics card is not an NVIDIA one, start here.
Worth knowing before you start
- Configuration surface is large The flexibility means more settings to get wrong on the first run.
What it does
- AMD and Intel GPU support
- Many model architectures
- Diffusers backend
Models it runs
How it relates to other tools
- a fork of Stable Diffusion WebUI
Signs of life
Checked automatically. These are the only figures on this page a machine wrote, and they say when they were taken.
- Last answered
- Yes, 3 hours ago Its website responded when we asked.
- Stars on GitHub
- 7,341 584 forks.
- Last commit
- 14 hours ago2026-09-15 16:01 UTC
- Archived copy
- Wayback Machine A snapshot, in case this one stops answering.
Categories
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