seedance-2-0

Generate cinematic video clips with synchronized audio and multi-shot cuts.

602|12|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/video-production-buddy/video-production-buddy --skill seedance-2-0-video-production-buddy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seedance-2-0
Source: https://github.com/video-production-buddy/video-production-buddy/tree/main/.agents/local/skills/seedance-2-0
Command: npx skills add https://github.com/video-production-buddy/video-production-buddy --skill seedance-2-0-video-production-buddy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the difficulty of producing high-quality cinematic video clips with native synchronized audio, multi-shot cuts, and consistent character identity, removing the need for manual post-production audio sync and repeated retakes to fix shot or character inconsistencies.

Core Features & Use Cases

  • Native Synced Audio Generation: Produces speech, sound effects, and ambience in a single generation pass with no post-sync work required.
  • Multi-Shot & Director-Level Control: Supports multiple cuts and camera movements (dolly, tilt, arc, etc.) in a single prompt for trailers, teasers, and hype edits.
  • Reference-Conditioned Consistent Identity: Locks character appearance across shots using up to 9 images, 3 video clips, and 3 audio clips as references.
  • Use Case: A video producer can generate a 10-second cinematic trailer clip with synchronized character dialogue, dynamic camera moves, and consistent character appearance from reference images in one pass, reducing production time from hours to minutes.

Quick Start

Use the seedance-2-0 skill to generate a 10-second cinematic trailer clip with synchronized dialogue, multi-shot cuts, and consistent character identity from your video production brief.

Frequently Asked Questions about seedance-2-0

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate cinematic video clips with native synced audio without post-production?

Generate cinematic video clips with native synced audio by using a multimodal video production model that produces speech, sound effects, and ambience in a single pass, eliminating manual post-sync work. This approach handles multi-shot cuts and dynamic camera moves natively.

Can I lock character consistency across multiple video shots using reference images?

Yes, you can lock character consistency across multiple video shots by using reference-conditioned generation, which accepts up to 9 images, 3 video clips, and 3 audio clips to maintain a consistent character identity throughout the cinematic clips without repeated retakes.

Does video generation with multi-shot cuts support director-level camera controls?

Yes, video generation with multi-shot cuts supports director-level camera controls, allowing you to specify dynamic camera movements like dolly, tilt, and arc within a single prompt to produce trailers, teasers, and hype edits.

What is the best way to create a cinematic trailer with lip-synced dialogue from text?

The best way to create a cinematic trailer with lip-synced dialogue is using reference-conditioned multimodal video generation, which utilizes quoted dialogue to generate lip-sync and synchronized audio natively alongside multi-shot video sequences in one pass.

Can I use fal.ai, Replicate, Runway, and Higgsfield for multimodal video generation?

Yes, you can use fal.ai, Replicate, Runway, and Higgsfield as supported gateways for multimodal video generation, allowing you to configure duration, aspect ratio, resolution, and model variants to manage cost and latency tradeoffs for your cinematic clips.

What are the limitations of generating consistent character identity for cinematic video?

Limitations of generating consistent character identity include restricting reference inputs to a maximum of 9 images, 3 video clips, and 3 audio clips, and requiring supported gateways to manage configurable duration, resolution, and model variants for cost and latency tradeoffs.