Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.

Similar to the scientific process, the model starts by collecting random ... text generation and synthetic data generation to name a few. Diffusion models work by deconstructing training data ...

Photo: salarko (Shutterstock) It seems like everybody and their mother has a large language model these days. Stability AI, one of the companies that made a name for itself early in the AI rat ...

Diffusion models exploded onto the world stage a mere two years ago. The technology had been around for a while, but it was only when we all experienced the revolution of AI image generation that ...

On Wednesday, Stability AI released Stable Diffusion XL 1.0 (SDXL), its next-generation open weights AI image synthesis model. It can generate novel images from text descriptions and produces more ...

But curiously, one of the innovations that led to it, an AI model ... the diffusion transformer. Most modern AI-powered media generators, including OpenAI’s DALL-E 3, rely on a process called ...

Diffusion was inspired by physics — being the process in physics where something ... The University of Washington model, on the other hand, starts with a scrambled structure and uses information ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion ... training the model to reverse the process until ...

Stable Diffusion cost $600,000 to train so far (estimates of training costs for other ISMs typically range in the millions of dollars). During the training process, the model associates words with ...