Seedance 2.0 drops native audio-video generation

Seedance 2.0 looks less like another flashy demo model and more like ByteDance trying to own the practical layer of AI video creation.

• –The standout feature is multimodal reference control: creators can mix up to 9 images, 3 videos, 3 audio clips, and text to steer composition, motion, pacing, and sound in one workflow
• –Native stereo audio, beat-synced output, video extension, and targeted editing make it more useful for ads, social content, and short-form production than pure text-to-video tools
• –ByteDance claims industry-leading results in internal evals, and early third-party comparisons already frame Seedance as strongest on control and duration versus rivals like Kling, Sora, and Veo
• –The tradeoff is that more control also means more complexity, so its real advantage will show up with power users and teams that already work from references, storyboards, and edit passes