Stable Attribution

Ever wondered what's actually happening when you type a sentence and an AI spits out a picture? This explainer walks through how image-generation AI models are trained to go from text to visuals — the magic that powers the text-to-image tools so many of us are using today.

The process relies on huge datasets of images paired with their captions. The model learns by trying to recreate images from those captions, gradually picking up both broad concepts (what a cat or a beach looks like) and finer details like textures, lighting, and environments. It's a clear, approachable look at the mechanics behind modern generative AI, without needing a PhD to follow along.