hugging-apps · Action-Conditioned World Model

H3-World Action Demo

An action-conditioned world model on a rank-32 LoRA finetune of MiniMax-H3: give it a first frame and it responds to WASD movement, J and L pan, I and K tilt and an F sprint modifier. The conditioning is the clever part - it rides entirely on text, one short English sentence per latent frame appended to the scene prompt, held in place by a directed attention mask so each caption binds only to its own frame. Because H3 is 195.9 GiB in bfloat16 the pipeline splits across two Spaces. Defaults to 960x544, 28-step or 8-step turbo sampling, trained on Apache-2.0 ABot-World-Explorer-500h footage.