Downloads · 30 days
16.1K
62% of all-time downloads
MCG-NJU/SteadyDancer-14B
SteadyDancer-14B is a image-to-video model from MCG-NJU. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
16.1K
62% of all-time downloads
All-time downloads
26.2K
Public
Parameters
16.4B
82.3 GB on disk
Likes
69
Public
Click a slice to open those files.
.safetensors65.6 GB · 80%
From the Hugging Face model README
This repository is the checkpoint of paper "SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation". SteadyDancer is a strong animation framework based on Image-to-Video paradigm, ensuring robust first-frame preservation. In contrast to prior Reference-to-Video approaches that often suffer from identity drift due to spatio-temporal misalignments common in real-world applications, SteadyDancer generates high-fidelity and temporally coherent human animations, outperforming existing methods in visual quality and control while requiring significantly fewer training resources.

If you find our paper or this codebase useful for your research, please cite us.
@misc{zhang2025steadydancer,
title={SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation},
author={Jiaming Zhang and Shengming Cao and Rui Li and Xiaotong Zhao and Yutao Cui and Xinglin Hou and Gangshan Wu and Haolan Chen and Yu Xu and Limin Wang and Kai Ma},
year={2025},
eprint={2511.19320},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2511.19320},
}