Spaces:
Running on Zero
Running on Zero
| title: StatePlay Game World Model | |
| emoji: 🎮 | |
| colorFrom: red | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 6.21.0 | |
| app_file: app.py | |
| short_description: Action-conditioned SF3 rollouts with predicted game state | |
| python_version: "3.12" | |
| startup_duration_timeout: 1h | |
| license: apache-2.0 | |
| models: | |
| - onepiece1999/StatePlay | |
| - Wan-AI/Wan2.2-TI2V-5B | |
| # StatePlay — State-Aware Game World Models for Mechanics-Consistent Generation | |
| Interactive demo of [StatePlay](https://huggingface.co/papers/2607.26754): a Street | |
| Fighter III world model that predicts the game's **internal state** (round timer, | |
| both players' health, both players' super meters) jointly with the video frames, | |
| so generated gameplay stays consistent with the underlying game mechanics. | |
| Give it a first frame, an initial game state and a controller sequence | |
| (one 0.5 s slot per entry) and it rolls out a 5-second clip at 832×480 / 20 fps | |
| plus the predicted state trajectory. | |
| - Paper: https://huggingface.co/papers/2607.26754 | |
| - Project page: https://jimntu.github.io/stateplay_page/ | |
| - Code: https://github.com/Jimntu/StatePlay | |
| - Checkpoint: https://huggingface.co/onepiece1999/StatePlay | |
| (visual expert initialised from `Wan-AI/Wan2.2-TI2V-5B`) | |
| Street Fighter III visuals are the property of Capcom Co., Ltd. The bundled | |
| example frames come from the authors' released held-out evaluation clips and are | |
| included for research demonstration only. | |