world-models-video-prediction-robotics

Build unified world models using flow-based video generation architecture that handles Text2World, Image2World, and Video2World in a single model, trained on 200M video clips with RL post-training for improved instruction-following and video quality.

Independent GitHub snapshot · Automated classification · Original documentation governs