Diffusion technology is like a paint-by-numbers picture that gets more detailed as it goes along.
Imagine you have a blank canvas, and you want to draw a cat. At first, the whole canvas is just white, no details at all. Then, step by step, you start adding colors bit by bit. First, you see the shape of the cat, then its eyes, then the fur, until finally, it looks like a real cat. That's how diffusion works: it starts with something simple and adds more detail little by little.
How It Works
Diffusion technology uses special math tricks to go from randomness to realism. At first, there's just noise, like static on the TV. Then, it slowly adds structure, color, and shape until you see a clear image or video.
Think of it like mixing paint in a jar. If you shake it up, it’s all messy and mixed. But if you let it sit still, the colors settle into a beautiful picture, just like how diffusion turns randomness into something realistic.
Examples
- A baker makes a cake by mixing ingredients one by one until the final flavor is perfect.
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See also
- How do AI image generators create realistic art?
- How are new AI models used to create realistic images?
- How are new AI-generated images created from text prompts?
- How do current AI models create realistic images and videos?
- How do AI image generators create realistic art from text?