Generate multi-modal Seedance 2.0 prompts using @-reference syntax.
npx skills add https://github.com/fuyucn/skills --skill seedance-prompt-zh-fuyucn
Please help me install this Agent Skill. Skill: seedance-prompt-zh Source: https://github.com/fuyucn/skills/tree/main/seedance2 Command: npx skills add https://github.com/fuyucn/skills --skill seedance-prompt-zh-fuyucn
This skill solves the complexity of prompting multi-modal AI video models by providing a structured framework for Seedance 2.0, ensuring high-quality, coherent, and technically accurate video outputs.
Use the seedance-prompt-zh skill to generate a prompt for a 10-second cinematic video featuring a character from an uploaded image performing a specific action referenced in a video file.
High-intent search queries and answers about installing and using this skill.
Multi-modal AI video generation prompts use specific @-reference syntax to integrate images, videos, and audio. This ensures precise audio-visual synchronization and character consistency by directly linking external assets within the text instructions.
Character consistency in video generation is achieved by referencing a specific source image using the designated @-reference syntax. This anchors the subject's visual identity, ensuring the AI model replicates the exact features across multiple generated scenes.
Yes, you can replicate camera movements by using a reference video file within your prompt. The multi-modal framework extracts the motion trajectories from the referenced video and applies them to your newly generated scene.
To create a cinematic product advertisement, you reference a product image, a camera movement video, and a background music track simultaneously. This multi-modal workflow ensures perfect synchronization between the product visuals, motion, and audio.
Yes, audio-visual synchronization is supported by referencing audio tracks alongside visual assets in the prompt. The framework aligns the audio cues with the generated video timeline to ensure perfectly matched multi-modal outputs.
Generating multi-modal video prompts requires strict adherence to specific input constraints and @-reference syntax for asset integration. You must properly format image, video, and audio references to ensure the AI model processes the complex workflow correctly.
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