AI image generators typically work through a process known as "diffusion". Basically, the model that's generating the image starts with a very vague, blurry picture, and successive sampling steps refine the image until it's sharp and realistic—or at least, as real as the model can get for what you've prompted. Diffusion is usually a time-consuming process requiring lots of steps, but MIT researchers have found a better way. Using a new approach called "distribution matching distillation", resear...