SOURCE-LINKED INTELLIGENCE

LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows

arXiv · AI, language, vision and robotics · article · Sep 14, 2026 · UTC

Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without guaranteed success, and long-horizon scenes drift in appearance, interactions, and temporal coherence. Agentic visual creation provides explicit references, editable 3D scenes, or executable game states for stable control, but does not by itself guarantee high object or character fidelity. Combining the two can enable stable, high-quality generation. To realize this combination, we present LynnReal-Omni, a native multimodal video generation framework built on a 32B shared multimo

Read original source ↗ Open in workspace

recordType

paper

region

Global