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BLM-Lab/Boundless-World-Model

sourceHugging Faceupdated 4mo agoView on Hugging Face
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<h1>Boundless-World-Model</h1>

<p align="center"> <strong>BWM: Physically consistent, action-conditioned video world model for robotic manipulation</strong> </p>

<p align="center"> <a href="https://github.com/boundless-large-model/boundless-world-model"><img src="https://img.shields.io/badge/GitHub-Repository-blue?style=flat&logo=github" alt="GitHub Repository"></a> <a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B"><img src="https://img.shields.io/badge/Base%20Model-Wan2.2--TI2V--5B-orange?style=flat&logo=huggingface" alt="Base Model"></a> <a href="https://huggingface.co/spaces/WorldArena/WorldArena"><img src="https://img.shields.io/badge/Benchmark-WorldArena-yellow?style=flat" alt="WorldArena"></a> </p>

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Model Details

PropertyValue
Base ModelWan2.2-TI2V-5B
Resolution480 x 640
Frames81 frames
Control SignalsRobot action trajectories
ArchitectureTrainable DiT + Action Encoder

Usage

To use these weights, please refer to our GitHub repository.

Acknowledgements

This project builds upon the following open-source projects and benchmarks:

  • Wan2.2: https://github.com/Wan-Video/Wan2.2
  • DiffSynth-Studio: https://github.com/modelscope/DiffSynth-Studio
  • WorldArena: https://github.com/tsinghua-fib-lab/WorldArena/
  • ABot-PhysWorld: https://github.com/amap-cvlab/ABot-PhysWorld