MotionCtrl, when provided with specific camera movements indicated by camera poses or several trajectories,
can independently control both the
camera
and
object
motion in a generated video.
It can be deployed on both Text-to-Video generation models, such as
LVDM/VideoCrafter
and
AnimateDiff
,
as well as Image-to-Video generation models like
SVD
.
Then generate the controllable video following the instructions in our
GitHub repository
.
Citation
@inproceedings{wang2023motionctrl,
title={MotionCtrl: A Unified and Flexible Motion Controller for Video Generation},
author={Wang, Zhouxia and Yuan, Ziyang and Wang, Xintao and Chen, Tianshui and Xia, Menghan and Luo, Ping and Shan, Yin},
booktitle={arXiv preprint arXiv:2312.03641},
year={2023}
}
Runs of TencentARC MotionCtrl on huggingface.co
0
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0
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0
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More Information About MotionCtrl huggingface.co Model
MotionCtrl huggingface.co is an AI model on huggingface.co that provides MotionCtrl's model effect (), which can be used instantly with this TencentARC MotionCtrl model. huggingface.co supports a free trial of the MotionCtrl model, and also provides paid use of the MotionCtrl. Support call MotionCtrl model through api, including Node.js, Python, http.
MotionCtrl huggingface.co is an online trial and call api platform, which integrates MotionCtrl's modeling effects, including api services, and provides a free online trial of MotionCtrl, you can try MotionCtrl online for free by clicking the link below.
TencentARC MotionCtrl online free url in huggingface.co:
MotionCtrl is an open source model from GitHub that offers a free installation service, and any user can find MotionCtrl on GitHub to install. At the same time, huggingface.co provides the effect of MotionCtrl install, users can directly use MotionCtrl installed effect in huggingface.co for debugging and trial. It also supports api for free installation.