Filmmakers and Studios
Scenario: Directing multi-shot narrative scenes with complex human interactions.
Outcome: Achieves cinematic storytelling with precise real-world physics, consistent characters, and frame-level control over camera movements.
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A capability of Seedance 2.0
Seedance 2.0 Multimodal Reference Mixing
Accepts up to 12 reference assets simultaneously (9 images, 3 videos, 3 audio clips) via inline '@' tags to precisely guide output generation.
multimodal-reference-mixingstatus: verified
Try Multimodal Reference Mixing
How Multimodal Reference Mixing Works
Seedance 2.0 Combines by accepts up to 12 reference assets simultaneously (9 images, 3 videos, 3 audio clips) via inline '@' tags to precisely guide output generation. Unlike most comparable approaches in the text-to-video / image-to-video / video-to-video / audio-to-video space, the core behaviour is verified as of 2026-04-21.
Where This Capability Fits
Multimodal Reference Mixing is one of 4 capabilities that Seedance 2.0 exposes. It pairs best with the use cases listed below.
Marketing and Advertising Teams
Scenario: Rapidly drafting promotional campaigns, product showcases, and outfit-change videos.
Outcome: Produces polished, high-definition commercial videos dynamically synced to music without requiring a physical set.
Video Content Creators
Scenario: Extending existing clips or altering backgrounds and characters within a shot.
Outcome: Seamlessly integrates new creative direction into source footage while perfectly matching the original motion and aesthetic.
Other Seedance 2.0 Capabilities
Multimodal Reference Mixing in Context
How Multimodal Reference Mixing stacks up against the same capability in other models.
| vs | On | Seedance 2.0 | Them |
|---|---|---|---|
| Sora (OpenAI) | Audio Integration | Generates native, perfectly synchronized lip-sync and audio organically in a single unified pass. | Historically focused on silent visual generation, frequently requiring third-party tools for sound design. |
| Kling 3.0 | Complex Multi-Asset Inputs | Supports director-level guidance by combining up to 12 multimodal references (images, audio, video) via structural '@' tags simultaneously. | Offers strong character consistency but has a less robust unified framework for mixing simultaneous audio, visual, and motion references. |
| Runway Gen-3 Alpha | Complex Motion Physics | Capable of reliably generating multi-participant competitive sports scenes and complex interactions adhering closely to real-world physics. | Handles basic interactions well but can occasionally struggle with structural stability during high-contact sports or complex multi-subject interactions. |