Zeyinzi Jiang*
·
Zhen Han*
·
Chaojie Mao*†
·
Jingfeng Zhang
·
Yulin Pan
·
Yu Liu
Tongyi Lab -
VACE is an all-in-one model designed for video creation and editing. It encompasses various tasks, including reference-to-video generation (R2V), video-to-video editing (V2V), and masked video-to-video editing (MV2V), allowing users to compose these tasks freely. This functionality enables users to explore diverse possibilities and streamline their workflows effectively, offers a range of capabilities, such as Move-Anything, Swap-Anything, Reference-Anything, Expand-Anything, Animate-Anything, and more.
- Wan-VACE Model Inference
- LTX-VACE Model Inference
- Inference Gradio & Preprocessing Tools
- ComfyUI Workflow
- VACE-Benchmark
- Mar 11, 2025: We propose VACE, an all-in-one model for video creation and editing.
We are grateful for the following awesome projects, including Scepter, Wan, and LTX-Video.
@article{vace,
title = {VACE: All-in-One Video Creation and Editing},
author = {Jiang, Zeyinzi and Han, Zhen and Mao, Chaojie and Zhang, Jingfeng and Pan, Yulin and Liu, Yu},
journal = {arXiv preprint arXiv:2503.07598},
year = {2025}
}