AI glossary · Images, video, audio and writing
Diffusion model
A diffusion model is a type of generative AI that creates images, video or audio by starting from random noise and gradually refining it into a clear result.
Also called diffusion, latent diffusion
In more detail
During training, the model watches real images get blurred with more and more noise, and learns to reverse each step. To create something new, it starts from pure noise and removes it step by step, guided by your prompt.
Diffusion powers most AI image generators and many text to video tools. Earlier image generators often used GANs.
Related terms
AI image generatorAn AI image generator creates pictures from a written description. You type what you want to see, and it produces new images in seconds.Stable DiffusionStable Diffusion is an image-generation model from Stability AI whose weights are publicly available, so people can run and customise it on their own computers.Generative adversarial network (GAN)A generative adversarial network (GAN) is two neural networks that compete: one creates fake images and the other tries to spot them, so both keep improving.Text to videoText to video is generative AI that creates short video clips from a written description, and often from a starting image too.
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