How AI Creates Images — GANs, VAEs & Diffusion Explained

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Издатель Jun 27, 2026

Every AI image you've seen — from Midjourney portraits to Stable Diffusion art — comes from one of three ideas. This video breaks down all three, from scratch, with code: GANs, VAEs, and Diffusion models.

No heavy math. Whether you're a student or a working professional, by the end you'll understand exactly how machines create images that never existed — and you'll have runnable code to try each one yourself.

What you'll learn:
• What a generative model actually does (vs the AI that just labels things)
• GANs: the forger-vs-detective game behind realistic images
• VAEs: how compressing and rebuilding data lets AI create
• Diffusion: how turning noise into images powers today's top tools
• When to use each — with a clear side-by-side comparison
• Working PyTorch & Hugging Face code for all three

This is Episode 1 of a series on Generative Models — next up: text-to-image and multimodal AI. Subscribe so you don't miss it.

If this made it click, a like really helps the channel reach more people. And tell me in the comments: which model surprised you most?

#GenerativeAI #StableDiffusion #AIArt