| --- |
| language: |
| - en |
| pipeline_tag: image-to-video |
| tags: |
| - video-generation |
| - image-to-video |
| - world-model |
| - robotics |
| - action-conditioned |
| - pytorch |
| library_name: pytorch |
| base_model: |
| - Wan-AI/Wan2.2-TI2V-5B |
| --- |
| |
| <div align="center"> |
|
|
| <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> |
|
|
| </div> |
|
|
| ## Model Details |
|
|
| | Property | Value | |
| |----------|-------| |
| | **Base Model** | [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B) | |
| | **Resolution** | 480 x 640 | |
| | **Frames** | 81 frames | |
| | **Control Signals** | Robot action trajectories | |
| | **Architecture** | Trainable DiT + Action Encoder | |
|
|
| ## Usage |
|
|
| To use these weights, please refer to [our GitHub repository](https://github.com/boundless-large-model/boundless-world-model). |
|
|
| ## 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 |
|
|
