Sci Fi Car Chase Robot Transformation is presented as an edited case study, not a copy-ready prompt dump. Use it to study subject framing, then rewrite it for your own workflow.
Prompt Detailsurreal-flight-neon-futuristic-megacity
Seedance vol surréaliste dans une mégapole futuriste néon
Surreal Flight Neon Futuristic Megacity 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.
Note éditorialeExemple de prompt
Rédigé par
Seedance2Prompt Editorial Team
Relu par: Seedance2Prompt Editorial Team
Dernière mise à jour
2026-03-12
Méthode éditoriale
Les pages prompt partent d'exemples approuvés et l'équipe éditoriale ajoute titres, conseils d'usage et liens associés.
A surreal cinematic aerial shot of a futuristic мегacity at night, filled with towering skyscrapers and multi-level looping highways twisting in impossible geometry. Streams of car headlights and taillights form glowing ribbons of motion. A serene anime-style woman wearing flowing white robes (kimono-inspired) floats and falls gracefully through the air between the looping highways. Her sleeves and fabric billow in slow motion, giving an ethereal, weightless feel. The camera tracks her descent from above, rotating and drifting as she passes through spiraling overpasses and interwoven roads. Traffic moves naturally below, light trails streaking through the dark blue city atmosphere. The environment feels dreamlike and gravity-defying, with massive curved flyovers forming elegant arcs in space. Subtle fog and atmospheric haze add depth and scale.
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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