One of VACE’s key innovations is its Concept Decoupling strategy, which separates video elements like characters, backgrounds, and actions, enabling independent modification without disrupting the overall scene coherence. This allows users to perform targeted edits such as swapping subjects, changing motion trajectories, or extending video frames with intelligent content filling. The framework’s modular design supports compositional task combinations, empowering users to create complex video scenarios such as long video re-rendering or multi-condition editing with ease. Extensive experiments on a custom dataset demonstrate that VACE achieves competitive performance compared to task-specific models, while significantly simplifying the video creation and editing workflow.
VACE’s practical applications span social media content creation, film post-production, advertising, education, and interactive media. Its flexible interface supports rapid generation of short videos from text descriptions or reference images, as well as fine-grained local edits using spatiotemporal masks. Features like Move-Anything, Swap-Anything, Expand-Anything, and Animate-Anything provide intuitive controls for motion adjustment, subject replacement, frame expansion, and animation of static images. The development team continues to enhance VACE with improvements in video quality, real-time editing capabilities, 3D generation features, and voice command interaction, aiming to lower the barrier for video content creation and empower creators with a powerful, unified tool.
Key features include:
- Unified Video Condition Unit (VCU) integrating text, image, video, and mask inputs
- Supports text-to-video, reference-to-video, video-to-video, and masked video editing tasks
- Concept Decoupling strategy for independent editing of characters, backgrounds, and actions
- Context Adapter structure dynamically adjusts generation strategies per task
- Composable task combinations enabling complex video creation scenarios
- Intuitive controls including Move-Anything, Swap-Anything, Expand-Anything, and Animate-Anything
- Demonstrated competitive performance and temporal consistency across diverse video tasks