Dual-branch Diffusion Transformer: Unlike models that treat audio as an afterthought, Seedance 2.0 uses a unified architecture to generate 2K video and synchronized environmental audio/SFX simultaneously. This reduces the "uncanny valley" effect in action-heavy scenes (e.g., a glass breaking).
Multi-Shot Narrative Logic: One of the hardest problems in T2V is temporal and character consistency across cuts. Seedance allows for "multi-lens storytelling," maintaining the same seeds for characters and lighting across a 15-second sequence of distinct shots.
12-File Reference System: It moves beyond simple text prompting. You can input up to 9 images, 3 video clips, and 3 audio files to "steer" the model. It feels less like a slot machine and more like a controllable production tool.
Improved Physics: In our early tests, it handles complex movements—like hand-to-hand combat or fabric interaction—with significantly fewer hallucinations than current SOTA models.
We’re curious to hear the community’s thoughts on the move toward native 2K generation and whether the "multi-modal reference" approach is the right path toward solving the steerability problem in generative video.