What problem does it solve?
It solves the challenge of turning ordered image/video references into Seedance 2.0 prompts that preserve continuity across time-sliced segments, reducing coherence breaks during video generation and extension.
Core Features & Use Cases
- Ordered reference binding for multimodal inputs: Maps input videos/images to exact @video N and @image N labels so the model uses the intended visual timeline rather than guessing.
- V2V extension continuity rules: Enforces that video-to-video prompts extend the previous tail (@video 1) without restarting action or reusing it as style-only reference.
- Engineered 15-second prompt structure: Produces prompts with global lock, time-sliced storyboard, per-slice action/camera/performance/dialogue/sound, explicit continuity instruction, and quality/negative constraints.
- Prompt review fallback checks: Strengthens missing or weak elements (asset mapping, continuity, contradictory camera moves, action timing, and quality constraints) instead of passing vague guidance onward.
Quick Start
Use sd2-pe when your workflow sends ordered @video and @image references for Seedance 2.0 generation or V2V extension to produce a coherent 15-second, continuity-enforced prompt set.