Cat Dog Complaint Room Talking Show Dialogue 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 Detailfamily-love-celebration-diverse-children-dancing
Celebração de amor familiar com crianças diversas cantando e dançando
Family Love Celebration Diverse Children Dancing 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.
Nota editorialExemplo de prompt
Preparado por
Seedance2Prompt Editorial Team
Revisado por: Seedance2Prompt Editorial Team
Última atualização
2026-02-11
Método editorial
As páginas de prompt partem de exemplos aprovados e a equipe editorial adiciona títulos, notas de uso e links relacionados.
A menina de chapéu no meio da foto canta baixinho “Estou tão orgulhosa da minha família!”, depois se vira e abraça a negra do meio. A negra respondeu emocionada “Minha querida, você é o coração da nossa família” e retribuiu o abraço. O menino de roupa amarela à esquerda disse alegremente: “Gente, vamos dançar juntos para comemorar!” A menina da extrema direita imediatamente respondeu: “Vou trazer a música!”, música latino-americana tocava ao fundo, a mulher de saia laranja à esquerda (Julietta) sorriu e acenou com a cabeça, e a mulher de tranças à direita (Louisa) cerrou os punhos e balançou os braços. Alguém na multidão começou a dar passos, as crianças batiam palmas acompanhando o ritmo e toda a família estava prestes a formar um círculo. Acompanhadas de música alegre, saias esvoaçantes, dançaram pelas ruas coloridas, espalhando alegria e carinho.
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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