Instructions to use MCG-NJU/MotionRAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MCG-NJU/MotionRAG 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("MCG-NJU/MotionRAG", 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
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# 🤗 MotionRAG Model Checkpoints
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<a href=https://huggingface.co/MCG-NJU/MotionRAG target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=
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<a href=https://github.com/MCG-NJU/MotionRAG target="_blank"><img src= https://img.shields.io/badge/Code-bb8a2e.svg?logo=github height=
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<a href=https://arxiv.org/pdf/2509.26391 target="_blank"><img src=https://img.shields.io/badge/Paper-b5212f.svg?logo=arxiv height=
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## 📋 Overview
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# 🤗 MotionRAG Model Checkpoints
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<a href=https://huggingface.co/MCG-NJU/MotionRAG target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=26px></a>
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<a href=https://github.com/MCG-NJU/MotionRAG target="_blank"><img src= https://img.shields.io/badge/Code-bb8a2e.svg?logo=github height=26px></a>
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<a href=https://arxiv.org/pdf/2509.26391 target="_blank"><img src=https://img.shields.io/badge/Paper-b5212f.svg?logo=arxiv height=26px></a>
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<a href=https://zhuanlan.zhihu.com/p/1959552951854015546 target="_blank"><img src=https://img.shields.io/badge/Zhihu-B3E2FF.svg?logo=zhihu height=26px></a>
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## 📋 Overview
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