What problem does it solve?
It solves the consistency drift problem in image-to-video and reference-based video generation, where characters, style, and camera behavior change unintentionally across shots or keyframes.
Core Features & Use Cases
- Reference Hierarchy Enforcement: Applies a clear priority order (identity → world/location → prior continuity → style → motion) so the model preserves what matters most.
- Keyframe-Driven Continuity: Converts keyframe requirements into explicit transformation constraints between the first, middle, and last frame.
- Camera Control Discipline: Guides prompts to pick one dominant camera move per shot and avoid contradictory camera directives.
- Continuity Rule Sets: Preserves face/hair/clothing identity traits, rendering attitude and lighting behavior, and action/world continuity from previous references.
Use case: when you start from a character image and a short reference clip, you can produce a longer, coherent sequence where the character identity, style, and camera motion remain stable while the action evolves.
Quick Start
Use this skill for your next image-to-video generation by providing your reference image and any previous shot/video plus desired keyframe constraints, then ask for a prompt that specifies subject motion and a single dominant camera move while preserving identity and style.
