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license: mit
language:
- en
pipeline_tag: image-to-video
library_name: diffusers
---
# Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
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## 📝 Overview
**Matrix-Game-2.0（1.8B）** is an interactive world model generates long videos on-the-fly via few-step auto-regressive diffusion
## ✨ Key Features
- 🚀 **Feature 1**: **Real-Time Distillation** Efficient few-step diffusion for streaming video synthesis at 25 FPS, producing minute-level, high-fidelity videos across complex environments with ultra-fast speed.
- 🖱️ **Feature 2**: **Precise Action Injection** A mouse/keyboard-to-frame module that embeds user inputs as direct interactions, enabling frame-level control and dynamic response in generated videos.
- 🎬 **Feature 3**: **Massive Interactive Data Pipeline** A scalable production system for Unreal Engine & GTA5 that generates ~1350 hours of high-quality interactive video data, covering diverse scenes with frame-level realism.
## 🔥 Latest Updates
* [2025-08] 🎉 Initial release of Matrix-Game-2.0 Model
## 🚀 Performance Comparison
### GameWorld Score Benchmark Comparison
| Model | Image Quality ↑ | Aesthetic Quality ↑ | Temporal Cons. ↑ | Motion Smooth. ↑ | Keyboard Acc. ↑ | Mouse Acc. ↑ | Object Cons. | Scenario Cons.|
|-----------|------------------|-------------|-------------------|-------------------|------------------|---------------|-------------|-------------|
| Oasis | 0.27 | 0.27 | 0.82 | **0.99** | 0.73 | 0.56 | 0.18 | 0.84 |
| **Ours** | **0.61** | **0.50** | **0.94** | 0.98 | **0.91** | **0.95** | **0.64** | **0.80** |
**Metric Descriptions**:
- **Image Quality** / **Aesthetic**: Visual fidelity and perceptual appeal of generated frames
- **Temporal Consistency** / **Motion Smoothness**: Temporal coherence and smoothness between frames
- **Keyboard Accuracy** / **Mouse Accuracy**: Accuracy in following user control signals
- **Object Consistency**: Geometric stability and consistency of objects over time
- **Scenario Consistency**: Scenario consistency over time
Please check our [GameWorld](https://github.com/SkyworkAI/Matrix-Game/tree/main/GameWorldScore) benchmark for detailed implementation.
## 🚀 Quick Start
```
# clone the repository:
git clone xxx
cd Matrix-Game-2.0
# install dependencies:
pip install -r requirements.txt
# inference
bash xxx.sh
```
## ⭐ Acknowledgements
We would like to express our gratitude to:
- [Diffusers](https://github.com/huggingface/diffusers) for their excellent diffusion model framework
- [SkyReels-V2](https://github.com/SkyworkAI/SkyReels-V2) for their strong base model
- [Self-Forcing](https://github.com/guandeh17/Self-Forcing) for their excellent work
- [MineRL](https://github.com/minerllabs/minerl) for their excellent gym framework
- [Video-Pre-Training](https://github.com/openai/Video-Pre-Training) for their accurate Inverse Dynamics Model
- [GameFactory](https://github.com/KwaiVGI/GameFactory) for their idea of action control module
We are grateful to the broader research community for their open exploration and contributions to the field of interactive world generation.
## 📎 Citation
If you find this project useful, please cite our paper:
```bibtex
xxx
``` |