Instructions to use Skywork/Matrix-Game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Skywork/Matrix-Game with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Skywork/Matrix-Game", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -96,7 +96,7 @@ If you find this project useful, please cite our paper:
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@article{zhang2025matrixgame,
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title = {Matrix-Game: Interactive World Foundation Model},
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author = {Yifan Zhang and Chunli Peng and Boyang Wang and Puyi Wang and Qingcheng Zhu and Zedong Gao and Eric Li and Yang Liu and Yahui Zhou},
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journal = {arXiv:2506.18701},
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year = {2025}
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}
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```
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@article{zhang2025matrixgame,
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title = {Matrix-Game: Interactive World Foundation Model},
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author = {Yifan Zhang and Chunli Peng and Boyang Wang and Puyi Wang and Qingcheng Zhu and Zedong Gao and Eric Li and Yang Liu and Yahui Zhou},
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journal = {arXiv preprint arXiv:2506.18701},
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year = {2025}
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}
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```
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