Key Features

Multi-modal input combining text, images, video clips, and audio to guide the content, motion, and sound of the generated video.
Support for multiple reference files, enabling multi-shot storytelling with consistent characters, lighting, and visual style across scenes.
Precise replication of complex motion and camera paths from uploaded reference videos, including choreography and cinematic camera moves.
High-resolution output up to 2K with sharp details, natural lighting, and smooth motion suitable for professional or commercial use.
Native or synchronized audio generation that matches on-screen events, including sound effects, ambient sound, and music timing.
Fast rendering that can create short clips in seconds, enabling rapid iteration and experimentation without traditional editing overhead.
Flexible use cases covering advertising, social media content, film pre-visualization, education, and product or e-commerce videos.
Natural language control over scenes, allowing users to describe actions, camera behavior, and stylistic choices without technical expertise.

At the core of Seedance 2.0 is its ability to understand and replicate complex motion, camera work, and scene structure across multiple shots. You can upload reference videos to capture choreography, camera movement, or editing rhythm, and the system will reproduce these patterns while swapping in your own characters, products, or environments. Its scene understanding keeps characters, lighting, and visual style consistent from shot to shot, enabling multi-shot narratives instead of isolated clips, while native audio generation or synchronized audio input ensures that sound effects, ambient audio, and music align precisely with on-screen action.


Seedance 2.0 is designed to fit into a wide range of workflows, from solo creators to large production teams. Advertisers can feed in product images and brand references to generate social ads and product videos, educators can create visual explanations and talking avatars from scripts, and filmmakers can use it for storyboards, pre-visualization, and even final renders at up to 2K resolution. With a streamlined three-step process—inputting text and references, describing the desired result in natural language, and iterating on generated clips—it dramatically reduces the need for traditional editing tools while still giving directors fine-grained control over pacing, framing, style, and motion.

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