Researchers have developed an AI image generator that produces images in just four steps, rather than dozens.

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Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

Stanford University’s Deep Generative Models (XCS236) is a graduate-level, professional online course offered by the Stanford ...

AI image generation is here in a big way. A newly released open source image synthesis model called Stable Diffusion allows anyone with a PC and a decent GPU to conjure up almost any visual reality ...

With powerful video generation tools now in the hands of more people than ever, let's take a look at how they work. MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...