Expired50% confidenceFactExact time
Seedance supports using reference videos or image sequences as motion control conditions, rather than relying solely on text prompts.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/15/2026
First Seen
Valid until: 10/13/2026(expired)
Sources
Related Claims
UnverifiedSeedance 2.0's motion transfer feature has been made end-to-end, so users no longer need to manually extract poses; the model can implicitly learn motion patterns directly from a reference video and transfer them to the target content.75% similarUnverifiedSelecting reference video footage with gentle movement, a natural pace, a single subject, and a clean background can guide the generation of more natural results from the source.72% similarUnverifiedReference video templates extract motion information (such as optical flow, pose skeletons, and depth information) as conditional constraints for the generation process; common implementation methods include ControlNet, IP-Adapter, and Motion LoRA.72% similarUnverifiedSeedance 2.0 employs a video diffusion architecture developed in-house by ByteDance and has a competitive advantage in motion smoothness and first-to-last frame consistency.70% similarUnverifiedDepth videos and OpenPose videos can be directly used as reference video inputs for Seedance 2, effectively preserving the camera motion and character poses of the original video.70% similar
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