Seedance 2.0 is a video generation model from ByteDance Seed. It uses a unified multimodal architecture that generates audio and video together and accepts text, image, audio and video inputs. The developer says this gives the broadest set of reference and editing capabilities in the industry, along with strong motion stability and realistic audio-visual output. Images, audio clips and videos can serve as references, giving creators control over performance, lighting, shadow and camera movement. Output is aimed at cinematic quality in line with industry standards. People can try it in a playground or in the Dola app, and developers can get API access.
Filmmakers and video producers use Seedance for previsualization, shot ideas and cinematic scenes with synchronized sound. Advertising and social content teams generate polished clips quickly and cut production effort. Animators and designers supply reference images or footage so the motion matches what they have in mind. Developers and product teams add video generation to applications through the API. Researchers comparing models can look at the published benchmark charts, though these come from the developer's own internal evaluation. The model is best suited to people who want to direct the result through references instead of relying on a text prompt alone.
A creator can start from a text idea, add reference images for characters and a reference clip for camera movement, then generate a scene with matching audio. An editor can modify existing video by supplying it as an input, and an agency can turn a still image into an animated shot. The developer tested the model on text-to-video, image-to-video and multimodal tasks with its SeedVideoBench-2.0 benchmark and says it leads across several dimensions. A curated showcase on the page offers examples for inspiration, and a compare function lets visitors place the model next to alternatives before deciding to use the API.
