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Prompt Detaillaboratory-beverage-commercial-cinematic-shots

Tomas Cinematográficas de Comercial de Bebida de Laboratório | Seedance

Laboratory Beverage Commercial Cinematic Shots 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, then rewrite it for your own workflow.

Nota editorialExemplo de prompt
Preparado por

Seedance2Prompt Editorial Team

Revisado por: Seedance2Prompt Editorial Team

Última atualização

2026-03-12

Método editorial

As páginas de prompt partem de exemplos aprovados e a equipe editorial adiciona títulos, notas de uso e links relacionados.

Shot 1: Close-up. The camera slowly zooms in. A man examines a green bottle in a laboratory. Shot 2: Macro focus. An intense blast of cold steam hits the bottle, forming frost on the bottle. Shot 3: Extreme close-up. A glowing digital hologram around the bottle freezes and shows the temperature of -18°C. Shot 4: Smooth tilt down. We see the brown liquid pouring from the bottle into a clear shot glass. Shot 5: Static medium-scale shot. The man drinks the liquid in one smooth gulp. Action Match style shot. Shot 6: Dynamic movement back. The same man, now in a trendy green leather jacket and orange shirt, places an empty shot glass on the bar with neon lighting. Shot 7: Horizontal camera shot. A man and a huge festival crowd jump to the beat, dynamic strobe lasers. A music festival is taking place in a bar. Frame 8: Quick crash zoom to medium. The man smiles confidently, points directly at the lens and exclaims, "Welcome to the best music festival!", lip-syncing his movements to the lip-sync.

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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