Seedance 2.0 is built to help teams produce AI-generated videos with clearer control and fewer retries. It supports text-to-video, image-to-video, and multimodal projects where references guide outcomes. You can assign explicit roles to each input (text, images, videos, audio) so the system knows what must stay consistent—such as character identity, brand elements, or scene composition—and what can vary.
Strong image guidance helps keep faces, wardrobe, layouts, and branded objects stable across shots. Video references can transfer motion patterns and camera behavior to achieve consistent pacing and a recognizable “camera language.” Audio references can influence timing so movement and cuts align better to soundtracks for ads and short-form narratives.
For production workflows, Seedance 2.0 supports clip extension and partial regeneration so you can refine a specific moment without rebuilding an entire sequence. It’s suited for marketing teams, content studios, and editors who need repeatable results, faster iteration, and scalable variations.
