diffusion models

NVIDIA released Nemotron-Labs-Diffusion-14B, a 14-billion parameter language model that supports three decoding modes by switching attention patterns during inference. The model achieves 850 tokens per second on GB200 hardware at concurrency 1, representing a 3.3x speed-up over standard autoregressive decoding and outperforming Qwen3-8B-Eagle3 by 2.2x in self-speculation mode.

Baidu has released ERNIE-Image, an 8B parameter text-to-image generation model built on a single-stream Diffusion Transformer architecture. The model is designed for complex instruction following, text rendering, and structured image generation, and can run on consumer GPUs with 24GB VRAM.