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LykosAI/StabilityMatrix

Stability Matrix: a cross-platform package manager for Stable Diffusion front-ends

Multi-Platform Package Manager for Stable Diffusion

8,857 stars605 forksC#AGPL-3.0

At a glance

What is it?
Stability Matrix is an AGPL-3.0 desktop app that installs, updates and manages Stable Diffusion interfaces like ComfyUI, AUTOMATIC1111 and SD.Next from one place, with a shared model store and a CivitAI and Hugging Face model browser. It manages other tools rather than generating images itself.
Who is it for?
Adopt Stability Matrix if you run more than one Stable Diffusion front-end or juggle many models and want one desktop app to install, update and share them with a shared model store and a CivitAI and Hugging Face browser. Do not expect it to reduce the GPU or model weight, since generation still happens in the front-ends it manages, and note its AGPL-3.0 copyleft.
Can I use it commercially?
Yes, with strict conditions. AGPL-3.0 is a network copyleft licence: if people use a modified version over a network, for example as a hosted service, you must offer them its source code under the same licence.
Is it still maintained?
Yes. The repository last received commits 14 days ago.
What is it written in?
Mainly C#, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on September 30, 2026, and from our analysis. They are not legal advice.

Editorial analysis

What Stability Matrix manages

Installing and keeping a Stable Diffusion front-end working, its Python environment, dependencies, models and updates, is fiddly, and running several of them multiplies the pain. Stability Matrix is a desktop application that takes that over. It installs, updates and manages Stable Diffusion interfaces such as ComfyUI, AUTOMATIC1111 and SD.Next from one place, provides a shared model store so front-ends draw from the same downloads, and includes a model browser for CivitAI and Hugging Face plus its own inference interface. The audience is people who use one or more Stable Diffusion WebUIs and are tired of managing each one's setup by hand. It is a package manager and launcher, not a generator of its own primary sort, so its value is in orchestrating the tools that do the generating and keeping their environments and models in order.

One-click installs, a shared model store and a model browser

The mechanism is management around the front-ends. Stability Matrix performs one-click installs of supported interfaces and handles their updates, so you do not hand-manage each one's Python environment. A shared checkpoint and model storage means models downloaded once are available to every managed front-end rather than duplicated per tool. The built-in model browser searches CivitAI and Hugging Face, and recent releases added browsing and importing ComfyUI workflows from CivitAI, unpacking archives automatically and linking imported workflows into ComfyUI's own browser under a Stability Matrix folder. It also ships its own inference UI. Being a cross-platform C# application built on Avalonia, it presents this as a native desktop app across operating systems rather than a web page, which is a deliberate contrast with the browser-based tools it manages.

Installing the desktop app

Stability Matrix is distributed as a prebuilt desktop application, so installation is a download rather than a build. The README links platform packages directly: a Windows x64 zip, a Linux AppImage, a macOS Apple Silicon DMG, and an Arch Linux AUR package. You download the package for your platform from the latest release, run it, and the app then handles installing the Stable Diffusion front-ends you choose from inside its interface. There is no server to host and no Python to set up yourself, because managing those environments is precisely what the app does for the tools it installs. The first real use is launching Stability Matrix, picking a front-end such as ComfyUI to install through it, and pointing the shared model store at your checkpoints so every managed interface can use them.

Where a manager adds its own considerations

The limitations are those of a management layer. Stability Matrix does not remove the underlying weight: the front-ends it installs still need large models and a capable GPU, and generation still happens in those tools, so the app adds convenience rather than reducing hardware demands. It is a desktop application under AGPL-3.0, whose network copyleft provision is worth understanding if you were to offer it as a service, though for local desktop use the practical concern is the copyleft on modifications. It sits between you and the front-ends, so an occasional cost is that a managed install can lag or complicate a front-end's own newest changes, and you are trusting the manager's install process. For someone comfortable installing a single WebUI by hand, the manager may be unnecessary; its value grows with the number of tools and models you juggle.

Stability Matrix versus manual installs

The alternative is installing each Stable Diffusion front-end yourself, following its own setup, and managing models and updates per tool. Doing it by hand gives you full control and direct access to each tool's newest changes, at the cost of repeating environment setup for every interface and duplicating or manually sharing large model files. Stability Matrix's difference is consolidation: one app installs and updates multiple front-ends, shares one model store across them, and adds a model browser and its own inference UI. The trade is a layer of abstraction and trust in the manager. If you run only one WebUI and are comfortable maintaining it, manual setup is fine; if you switch between ComfyUI, AUTOMATIC1111 and SD.Next or manage many models, Stability Matrix is built to make that far less tedious, which is why it is widely used for exactly that.

AGPL-3.0 and active development

Stability Matrix is AGPL-3.0 licensed, a strong copyleft license, and it is a C# and Avalonia desktop application with native components per platform. The last push was on 2026-09-13, and the release notes show active feature work, such as CivitAI workflow browsing and importing ComfyUI workflows into a shared library, so it is maintained and adding capability. It offers stable, preview and development update channels, which suits a tool many people run daily. Adopt it if you manage more than one Stable Diffusion front-end or a large model collection and want one place to install, update and share them, download the prebuilt package for your platform from the latest release or the AUR, and remember it manages the tools that generate while the GPU and model requirements remain those of the front-ends it installs.

Editorial conclusion

Adopt Stability Matrix if you run more than one Stable Diffusion front-end or juggle many models and want one desktop app to install, update and share them with a shared model store and a CivitAI and Hugging Face browser. Do not expect it to reduce the GPU or model weight, since generation still happens in the front-ends it manages, and note its AGPL-3.0 copyleft. Download the prebuilt package for your platform, Windows zip, Linux AppImage, macOS DMG or the AUR, then install a front-end such as ComfyUI from inside the app.

Frequently asked questions

What is Stability Matrix?

Stability Matrix is an AGPL-3.0 cross-platform desktop app that installs, updates and manages Stable Diffusion front-ends such as ComfyUI, AUTOMATIC1111 and SD.Next, with a shared model store and a CivitAI and Hugging Face model browser.

How do I install it?

Download the prebuilt package for your platform from the latest release: a Windows x64 zip, a Linux AppImage, a macOS Apple Silicon DMG, or the Arch Linux AUR package. It then installs the Stable Diffusion front-ends from inside the app.

Does Stability Matrix generate images itself?

Its main role is managing the front-ends that generate, and it also ships its own inference UI. Either way you still need a capable GPU and the large models, since generation runs in the tools it installs.

Official sources

  1. License: AGPL-3.0
  2. LykosAI/StabilityMatrix on GitHub
  3. Project website
  4. README
  5. Releases
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