12 Flower Goddesses Quickly Turn And Wave Their 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 Detaila-city-street-during-a-red-light-everyone
a city street during a red light; everyone is stopped and waiting. a young man is on a bic | Seedance
A City Street During A Red Light Everyone 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.
Nota editorialEjemplo de prompt
Elaborado por
Seedance2Prompt Editorial Team
Revisado por: Seedance2Prompt Editorial Team
Última revisión
2026-03-12
Método editorial
Los detalles del prompt parten de ejemplos aprobados y el equipo editorial añade títulos, notas de uso y enlaces relacionados.
una calle de la ciudad durante un semáforo en rojo; todos están parados y esperando. un joven va en bicicleta con un gato ragdoll posado en la parte trasera. a su lado, una hermosa joven va en otra bicicleta, llevando una cesta llena de pescado muerto en su portabultos trasero. el ángulo de la cámara es una toma en primera persona desde el interior de un coche aparcado directamente detrás de las dos bicicletas. el gato ragdoll estira una pata, intentando coger un pez. justo cuando extiende la pata, el coche toca la bocina: ¡beep, beep, beep! sobresaltado, el gato se encoge y retrae rápidamente la pata. se gira para mirar fijamente al coche que tiene detrás, suelta un maullido agudo y levanta una pata para golpear con rabia hacia la cámara. la escena se llena con el sonido de maullidos feroces y descontentos.
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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