But how do AI images and videos actually work? | Guest video by Welch Labs
What it is
A guest video by Welch Labs on 3Blue1Brown explaining how text-to-image and video models work. It covers CLIP, shared embedding spaces, diffusion models (DDPM, DDIM), conditioning, guidance and negative prompts.
Why Hacker News recommends it
HN uses it as a clear explainer for diffusion mechanics, such as negative prompts and faster sampling, and for joint text-image encoders.
- 1 people recommended it
- 1 different months
- 0 strong recommendations
- first 2025, last 2026
What HN commenters said
“WL & 3b1b made a nice video on it”
Nice video on training text and image encoders together.
dilyevsky, 2026-06 · Recommendation · in “Playing with Vision Embeddings”
Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.
Topics: diffusion, clip, ddpm, classifier-free guidance, image generation
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