What problem does it solve?
This skill solves the issue of identity drift in AI video generation by bypassing the need for intermediate storyboard images as direct inputs, ensuring consistent facial features from reference photos throughout the entire video production process.
Core Features & Use Cases
- Identity Preservation: Uses P1/P2 reference photos as direct anchors for Grok video generation to maintain consistent character appearance.
- Structured Storytelling: Converts story outlines into time-coded, cinematic text scripts optimized for AI video models.
- Use Case: A creator wants to produce a 10-second romantic scene. They provide two reference photos and a story outline, and the skill generates the precise prompt structure and CLI commands to produce a high-quality, consistent video without the character face-swapping common in standard workflows.
Quick Start
Use the ref-to-storyboard skill to generate a cinematic video script and CLI command for a 10-second scene based on my provided reference photos and story outline.