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, camera direction, 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 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.
uma rua da cidade durante um semáforo vermelho; todos estão parados e esperando. um jovem está em uma bicicleta com um gato ragdoll empoleirado na parte de trás. ao lado dele, uma bela jovem está em outra bicicleta, carregando uma cesta cheia de peixes mortos em seu bagageiro traseiro. o ângulo da câmera é um POV de dentro de um carro estacionado diretamente atrás das duas bicicletas. o gato ragdoll estende uma pata, tentando pegar um peixe. assim que sua pata se estende, o carro buzina — bipe, bipe, bipe! assustado, o gato se encolhe e rapidamente retrai a pata. ele se vira para encarar ferozmente o carro atrás dele, solta um miado agudo e levanta uma pata para arranhar com raiva em direção à câmera. a cena é preenchida com o som de miados ferozes e descontes.
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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