seedance

To generate Seedance 2.0 prompts for Chinese video production, copy a base prompt and the system standardizes the structure and metadata for reliable discovery. It produces production-ready outputs for both short hooks and long-form content.

A multimodal video prompt integrates text, image references, and video inputs to guide generation. You need multimodal video prompts when aligning complex Chinese content with specific platform constraints and reference pipelines.

Yes, you can use Seedance prompts for short hook videos under 15 seconds. The system specifically enforces platform constraints and generates production-ready prompt structures tailored for short-form and long-form Chinese video content.

To structure YAML frontmatter for video prompt engineering, apply the enforced metadata conventions provided by the system. This ensures your multimodal Seedance prompts offer reliable discovery, activation, and reuse across production workflows.

The best way to standardize Chinese video prompts is to enforce YAML frontmatter conventions and apply structured metadata. This approach reduces guesswork and generates consistent, production-ready Seedance prompts across multimodal inputs.

You do not strictly need image references to create long-form production prompts, as text inputs are supported. However, incorporating image references enables full multimodal Seedance prompt generation, aligning complex outputs with platform constraints.