How AI Creates Images — GANs, VAEs & Diffusion Explained
About this lesson
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
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