Easy Diffusion is the friendliest way to run AI image generation on your own computer: a one-click installer and a clean browser interface for Stable Diffusion and newer models, with no technical knowledge required. It has powered home art setups for years, holds about 10,500 stars on GitHub, and is still actively developed in 2026.
The project’s promise is simple — download, double-click, and start creating. The installer handles Python, models and dependencies automatically on Windows, Linux and macOS, then opens a tabbed web UI where you type a prompt and generate. Under the friendly surface sits a serious toolset: image-to-image and inpainting, multiple samplers, upscaling, face correction, ControlNet-style guidance, task queues, and support for modern model families including Flux, SDXL and Z-Image. It runs on modest hardware with CPU fallback and multi-GPU spreading, scans model files for malicious code with picklescan, and updates itself. For many hobbyists, Easy Diffusion was their first local AI art tool precisely because nothing else got out of the way this completely. The project pairs approachability with sensible safety defaults: model files are scanned before loading, downloads are verified, and advanced knobs stay hidden until you ask for them — while samplers, schedulers and token merging remain available to experienced users. A plugin system and community themes extend the interface, and the wiki documents everything from low-VRAM settings to running on Apple Silicon. Development has kept pace with the fast-moving image model scene, with new architectures typically supported within weeks of release.
Easy Diffusion is completely free and open source. Everything runs locally on your hardware, so there are no subscriptions or per-image fees.
Easy Diffusion is for artists, hobbyists and the simply curious who want local AI image generation without the setup pain of raw Stable Diffusion tooling.