Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

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

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

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 ...

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

Google has unveiled DiffusionGemma, a new experimental AI model that generates text using diffusion ...

Google has introduced DiffusionGemma, an experimental open model designed to generate text faster by using a diffusion-based approach instead of the usual ...

What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.

Google releases DiffusionGemma, a 26B experimental open model delivering 4x faster text generation using diffusion.

AI startup Stability AI continues to refine its generative AI models in the face of increasing competition — and ethical challenges. Today, Stability AI announced the launch of Stable Diffusion XL 1.0 ...