A diffusion model in artificial intelligence is a computational method used to generate high-quality images by reversing the process of adding noise to data, inspired by the physical process of diffusion. Such models start with a dataset that has been made unrecognizable by added noise, and then the models incrementally reverse this noise to reconstruct the original data, resulting in the creation of high-quality images.