Shanghai AI Laboratory · Omni-Visual Diffusion LLM

InternLumina-U2

A multi-codebook diffusion LLM unifying text, image, video and 3D understanding with image generation and editing in a single MoE diffusion backbone, working on discrete VQ-level visual tokens with parallel spatial-position and sequential-codebook prediction. Reported against InternVL-U, LLaDA2.0-Uni and LLaDA-o: CharXiv-DQ 83.65 against 69.80, HallusionBench 62.15 against 50.20, MathVision 33.22 against 26.70 and DynaMath 56.37 against 46.97. Inference code is up, but the technical report and weights are both still marked coming soon, and no parameter count or licence is given.