How do generative AI models create realistic images and videos?

Generative AI models create realistic images and videos by learning from lots of examples and then making new ones based on what they learned.

Imagine you have a box full of crayons, and you want to draw a cat. You look at many pictures of cats, notice their shapes, colors, and how they sit or run. Then you close your eyes and try to draw one from memory. That’s like how generative AI works, it learns from lots of images and videos first.

When the AI model starts learning, it looks at thousands of pictures (or even videos) of things like animals, people, or landscapes. It notices patterns in colors, shapes, and movement. Just like you learn to draw a cat after seeing many cats.

Once it’s learned enough, the AI can make new images by choosing parts from what it knows, like picking red for a apple, round shape for a face, or smooth lines for a smile. It combines those pieces in clever ways to create something new but familiar, just like you might draw a cat that looks a little different from all the ones you’ve seen before.

And if it’s making videos, it does this step-by-step for each frame, like flipping through pages of a storybook really fast!