Diffusion Model
A type of model that generates images by starting from random noise and refining it step by step into a coherent picture.
It is the technology behind most AI image generators, a different approach from the language models that power chat.
Frequently asked questions
How do AI image generators actually create pictures?
Most use a diffusion model, which starts from random noise and refines it step by step until a coherent image emerges. It is a bit like watching a blurry photo sharpen into a clear one, guided by your description.
Is a diffusion model the same as the AI that powers chat?
No. Chat assistants run on language models built for text, while diffusion models take a different approach designed for generating images. They are separate technologies aimed at different jobs.
Can a diffusion model make anything besides images?
The approach is best known for images, and it fits into the broader world of multimodal AI that handles more than text. The key idea is refining random noise into a finished result, which suits visual output especially well.
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