A fast.ai course that walks through how Stable Diffusion works, from the underlying building blocks up to the image generation pipeline. It is taught as video lectures by Jeremy Howard.

One commenter calls the lectures a really good introduction to how Stable Diffusion works, recommending them after trying the AUTOMATIC1111 web UI.

What commenters said (1)

1. Recommendsandthenwhat2022in “Ask HN: How to get into AI generation(images,text)”

   For the image generation (or even indexing with the CLIP interrogator) side of things, recommend just installing the AUTOMATIC1111 github repo (https://github.com/AUTOMATIC1111/stable-diffusion-webui), it's a web ui with pretty much every variant of stable diffusion you could want to try out, like txt2img, img2img, inpainting (both textual inversion and dream booth), outpainting, style customization, clip interrogation, etc. Most importantly, there are about 1000 youtube tutorials on how to do each of these things with it, so you can pick your interest areas and just try it out without having to understand all the details first.

   From there, if you're interested in how it works, I highly recommend the last 4 videos on Jeremy Howard's youtube channel: https://www.youtube.com/user/howardjeremyp/videos

   He's currently teaching a class on stable diffusion from the ground up and these lectures give a really good introduction to how it all works.

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