This online class covers machine-learning art and generative image tools such as DALL·E and Stable Diffusion.
The Illustrated Stable Diffusion by Jay Alammar
This illustrated guide explains Stable Diffusion and its image-generation process.
About The Illustrated Stable Diffusion by Jay Alammar
The Illustrated Stable Diffusion is a web-based illustrated guide that explains how Stable Diffusion creates images from text. It describes the text encoder, image information creator with UNet and scheduler, and image decoder, and how they process information in latent space over multiple steps.
The guide focuses on text-to-image generation and also notes altering images from text plus image inputs. Chinese and Vietnamese translations are listed.
Key features
- Explains text-to-image generation workflow with illustrations
- Describes CLIP text encoder outputting token embeddings
- Details UNet and scheduler processing in latent space
- Explains autoencoder decoder producing final pixel image
- Covers image alteration from text plus image inputs
- Available in Chinese and Vietnamese translations
Best for: Readers who have tried AI image generation and want an introductory explanation of how Stable Diffusion works.
Good for
- Explains components, how they interact, and what generation parameters mean
- Describes the system as separate models rather than one monolithic model
- Lists Chinese and Vietnamese translations
The Illustrated Stable Diffusion by Jay Alammar at a glance
- Category
- AI & Machine Learning › AI for Education
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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The Illustrated Stable Diffusion by Jay Alammar FAQ
What components make up Stable Diffusion according to the guide?
ClipText for text encoding, UNet and scheduler for processing information in latent space, and an autoencoder decoder for producing the final image.
Does the guide cover uses besides text-to-image?
Yes, it notes another main use is altering images from text plus image inputs.
What does the steps parameter refer to?
The number of steps run by the image information creator to generate image information, which often defaults to 50 or 100 in interfaces and libraries.
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