InvokeAI, an open source Stable Diffusion toolkit and WebUI
Hey everyone! Excited to be able to share the release of `InvokeAI 2.0 - A Stable Diffusion Toolkit`, an open source project that aims to provide both enthusiasts and professionals a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2). InvokeAI was one of the earliest forks off of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable…
InvokeAI, an open source Stable Diffusion toolkit and WebUI launched on October 10, 2022 with 414 votes, #26 of 3,153 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
InvokeAI is an open-source Stable Diffusion toolkit with a web interface for generating images. Designed for both enthusiasts and professionals, it runs efficiently on modest hardware, requiring only 3.5GB of VRAM for 512x768 image generation. The software works on Windows, Linux, and Mac (including M1 and M2 chips), offering both a desktop mode and a command-line interface with an extensible backend server for customization.
written from the facts on this page · September 2026
From the sources
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products. - invoke-ai/InvokeAI
In the maker’s words, at launch
Hey everyone! Excited to be able to share the release of `InvokeAI 2.0 - A Stable Diffusion Toolkit`, an open source project that aims to provide both enthusiasts and professionals a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and…
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