Lesson 1 of 4
How image AI creates a picture
Explanation
Many modern image generators begin with visual noise: random-looking pixels. During training they learn how to remove a little noise while moving the image toward the description in the prompt. When you ask for an image, the model repeats this denoising process many times. It does not search a folder for one finished picture; it builds a new image step by step from learned visual patterns.
Visual explanation
Read this from left to right: what goes in, what happens, and what comes out.
Each step removes a little random noise while following the prompt’s visual direction.
In plain language
Image AI starts with random visual noise and improves it in many small steps until it looks more like the requested image.
Remember
It creates a new image through many small changes.
What to do
Does an image generator usually begin with a finished photo, or with noise that it gradually turns into an image?