On February 12, 2026, ByteDance’s Seed team officially released Seedance 2.0—a next-generation multimodal AI video generation model. It uses a unified multimodal audio-visual joint generation architecture, supporting text, image, audio, and video as inputs, and sets new standards in physically accurate motion, character consistency, and director-level shot control. A single generation can output high-quality audio-visual content, meeting production-grade creation needs.

What is Seedance 2.0

Seedance 2.0 is ByteDance’s most advanced AI video generation model to date. Unlike earlier approaches that only accepted single text or image input, it is built on a unified multimodal architecture that can accept text, images, audio, and video as input, and uses a natural language @ mention system to precisely specify each asset’s role—e.g., reference character appearance from an image, motion and camera from a video, rhythm and style from audio. This “from prompt to director” paradigm lets creators control the entire video generation like directing a shoot, offering a rare, full set of multimodal reference and editing capabilities.

In the SeedVideoBench-2.0 benchmark, Seedance 2.0 leads in motion quality, visual fidelity, physical accuracy, prompt adherence, and temporal consistency, providing a new reference for “usable, controllable, high-quality” AI video generation.

Core Capabilities at a Glance

Multimodal Reference and @ Mention System

Users can upload up to 9 images, 3 videos, and 3 audio clips at once, then use natural language and @ mentions to specify whether each asset is used for “motion,” “style,” “character,” “camera,” or “audio rhythm.” For example: lock character look and costume with a reference still, extract camera movement and editing rhythm from a reference clip, or constrain music style with a BGM track. A single generation fuses multi-source references without step-by-step compositing or post sync.

Native Audio-Video Joint Generation

Seedance 2.0 outputs audio and video together in one generation, rather than “video first, then add sound.” It supports lip-synced dialogue, sound effects matched to on-screen action, background music that follows visual rhythm, and expressive voice-over, with stereo support. This means formats like talking head, narrative, and ads can be designed as “audio-visual from the start,” without relying on a separate audio post workflow.

Physically Accurate Motion and Complex Interaction

In strong physical and complex interaction scenarios such as pairs figure skating, multi-person competition, and equipment operation, the model significantly improves motion naturalness, coherence, and physical plausibility. Compared to prior and comparable solutions, “usability” in complex interaction and motion scenes reaches industry-leading levels, suitable for ads, sports, and narrative content that demand high action realism.

Director-Level Shot Control

Users can specify Hitchcock zoom, orbit, tracking, dolly, handheld feel, and complex choreography and transitions directly in natural language. They can also upload reference video for the model to reproduce its camera techniques and editing rhythm in new scenes. Non-editors can achieve near-professional camera and rhythm control without learning timelines or keyframes.

Character and Object Consistency

After uploading character or product reference images, Seedance 2.0 maintains consistent facial features, clothing, and product logos across all shots, angles, and lighting. For multi-character, multi-shot scenes or ads, identity and appearance stay stable without per-shot face fixes or manual tracking, supporting brand visibility and narrative continuity.

Video Editing and Extension

Supports targeted edits on existing video: replace specified segments, characters, or actions, or “continue shooting” by prompt to generate consecutive shots for extension and continuation. Suited for version iterations, pickups, or A/B tests on existing cuts without regenerating the full piece.

Use Cases and Access

Seedance 2.0 is widely suited for commercial ads, film VFX, e-commerce video, game CG, short-form video, and educational explainers, significantly reducing cost and cycle from idea to final cut. It is now available at 立刻使用Seedance2. Users can try multimodal input, native audio-visual sync, and director-level control there.

Summary

With its unified multimodal architecture, native audio-video joint generation, physically accurate motion, character consistency, and director-level shot control, Seedance 2.0 moves AI video generation from “single-point capability” to “full-pipeline, controllable, production-grade creation.” Brands, production teams, and individual creators can plug this capability into existing workflows to produce higher-consistency, more professional audio-visual content with fewer steps. Try it now: 立刻使用Seedance2.