Most AI models are designed to be autoregressive—they generate text left to right one token at a time. DiffusionGemma has ...

DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

DiffusionGemma generates text up to 4x faster than traditional models by producing entire blocks simultaneously, achieving ...

Designers, filmmakers, and game developers can now type a single sentence and receive a photorealistic image, a short ...

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

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 ...

Google’s Diffusion Gemma introduces a bold shift in AI language modeling by adopting a diffusion-based architecture that processes tokens in parallel, rather than sequentially. As explained by Prompt ...