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Consistent and Controllable Image Animation with Motion Linear Diffusion Transformers
Official PyTorch Implementation

arXiv Project Page Hugging Face Spaces

Consistent and Controllable Image Animation with Motion Linear Diffusion Transformers
Xin Ma, Yaohui Wang*, Gengyun Jia, Xinyuan Chen, Tien-Tsin Wong, Cunjian Chen*
(*Corresponding authors)

This repo contains pre-trained weights, and sampling code of MiraMo. Please visit our project page for more results.

News

  • 🔥 Jul. 31, 2025 💥 The inference code is released. The pre-trained models will come soon. Stay tuned!

Setup

Download and set up the repo:

git clone https://github.com/maxin-cn/MiraMo
cd MiraMo
conda env create -f environment.yml
conda activate miramo

Usage

Launching soon. Please stay tuned!

Open-source plan

  • T2V Inference
  • T2V Checkpoints
  • I2V Inference
  • I2V Checkpoints
  • Training

Citation

If you find this work useful for your research, please consider citing it.

@article{ma2025consistent,
  title={Consistent and Controllable Image Animation with Motion Linear Diffusion Transformers},
  author={Ma, Xin and Wang, Yaohui and Jia, Genyun and Chen, Xinyuan and Wong, Tien-Tsin and Chen, Cunjian},
  journal={arXiv preprint arXiv:2508.07246},
  year={2025}
}

Acknowledgments

MiraMo has been greatly inspired by the following amazing works and teams: Latte and SANA. We thank all the contributors for open-sourcing.

License

The code and model weights are licensed under LICENSE.

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