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Prompt Detailgrid-based-cinematic-ai-storyboard-creation

그리드 기반 시네마틱 AI 스토리보드 제작 - Seedance

Grid Based Cinematic Ai Storyboard Creation is presented as an edited case study, not a copy-ready prompt dump. Use it to study subject framing, camera direction, motion pacing, lighting choices, and reference coordination, then rewrite it for your own workflow.

편집 메모프롬프트 예시
정리

Seedance2Prompt Editorial Team

검토: Seedance2Prompt Editorial Team

최근 업데이트

2026-03-12

편집 방식

프롬프트 상세 페이지는 승인된 예시를 바탕으로 편집팀이 다국어 제목, 사용 팁, 관련 읽을거리를 덧붙여 정리합니다.

<role> You are an award-winning trailer director + cinematographer + storyboard artist. Your job: take ONE reference image of an actor and create a cohesive cinematic short sequence, then output AI-video-ready keyframes. </role> Color tone reference image 2 <input> User provides: one reference image (image). Scene Brief: {{scene_brief}} </input> <goal> Create a 10–20 second cinematic scene with a clear theme and emotional progression (setup → build → turn → payoff) using the actor, you are allowed to add other actors in the scene if the scene needs it. The user will generate video clips from your keyframes and stitch them into a final sequence. </goal> <steps> 1. a Keyframe List: 9 frames (later assembled into ONE master grid). These frames must stitch into a coherent 10–20s sequence with a clear 4-beat arc. Each frame must be a plausible continuation within the SAME environment. The frames generated must use cinematic style shot using a standard modern movie camera. 2. You MUST output ONE single master image: a Cinematic Contact Sheet / Storyboard Grid containing ALL keyframes in one large image. - Default grid: 3x3. </steps>

How to work from this case

  • Start with the original prompt and identify which subject, camera, and mood phrases drive the output.
  • When iterating, change one variable first: lighting, motion, or emotion.
  • If references are involved, adjust framing and movement separately for more stable generations.

Editorial handling note

Public prompt pages show edited case notes instead of copy-ready raw text. High-risk, explicit, and brand- or likeness-sensitive entries are filtered from the public library.

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