Stability Matrix: Package manager for Stable Diffusion
Multi-backend inference UI manager with embedded dependencies.
Learn more about StabilityMatrix
Stability Matrix is a desktop application built with Avalonia and .NET that functions as a package manager for Stable Diffusion distributions and related machine learning tools. It handles dependency management, including embedded Git and Python runtimes, eliminating the need for separate system installations. The application supports multiple backend implementations including Automatic1111, ComfyUI, Forge, InvokeAI, and others, with plugin and extension management capabilities for compatible packages. Common deployment scenarios include local AI image generation workflows, model training interfaces, and inference UI management across different hardware configurations.
Multi-backend support
Manages installation and updates for 20+ different Stable Diffusion implementations and related tools through a single interface, rather than requiring separate manual setup for each package.
Embedded runtime dependencies
Includes bundled Git and Python environments, eliminating the need for users to install and configure these dependencies separately on their systems.
.NET desktop application
Built with Avalonia framework for cross-platform desktop deployment on Windows, Linux, and macOS, providing native application performance rather than web-based or Electron-based alternatives.
Related Repositories
Discover similar tools and frameworks used by developers
TTS
PyTorch toolkit for deep learning text-to-speech synthesis.
Stable Diffusion WebUI
Web UI for Stable Diffusion enabling AI image generation and editing in browser.
Kimi-K2
Trillion-parameter MoE model with Muon-optimized training.
Stanford Alpaca
Research project that fine-tunes LLaMA models to follow instructions using self-generated training data.
CodeFormer
Transformer-based face restoration using vector-quantized codebook lookup.