L061 · How AI thinks · 2 min

AI that makes pictures

Image generators start from random noise and clean it up, step by step, until it matches the words you typed.

01 · The idea

Most image generators are diffusion models. During training they saw millions of pictures with captions, and they practised one odd skill: taking a picture covered in static and removing a little of the static at a time.

To make a new image, the model starts with pure static and removes noise over many steps, steering each step toward your prompt. A cat on a red sofa slowly appears out of the fuzz.

Results are often impressive, and they still slip. Small text, signs, the number of fingers, reflections and fine patterns are where mistakes usually hide. Two people in one scene can also blend together.

Specific prompts work best: say the subject, the setting, the style and the light. And when you share an AI image, say it is AI-made, especially if it shows real places or people.

02 · Think of it like this

It is like a sculptor who starts with a rough block of marble and chips away a little at a time. Your prompt tells them what is hidden inside the block.

03 · Do it now

04 · Quick check

How does a diffusion model build a new image?