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The Illustrated Stable Diffusion

Named practitioner synthesis

#243

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Canonical URL: http://jalammar.github.io/illustrated-stable-diffusion/
Topic: Practitioner Notes
First seen: 2026-07-16 19:08:00
Last seen: 2026-07-16 19:08:00

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Blog / Newsletter2026-07-16 19:07:22
The Illustrated Stable Diffusion
Translations: Chinese, Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses (performance in terms of image quality, as well as speed and relatively low resource/memory requirements). After experimenting with AI image generation, you may start to wonder how it works. This is a gentle introduction to how Stable Diffusion works. Stable Diffusion is versatile in that it can be used in a number of different ways. Let’s focus at first on image generation from text only (text2img). The image above shows an example text input and the resulting generat