Dancing Smoking Cat in Alleyway

Cinematic medium shot of an anthropomorphic tabby cat standing on hind legs, dancing in a dark urban alley at night. The cat smokes a lit cigarette. Purple and blue neon lighting hits a brick wall. 0-59s: The cat performs rhythmic, fluid dance moves, swaying and gesturing with paws.

Modelo

Seedance

Fluxo

motion transfer

Duração

59s

Formato

9:16

Câmera

medium shot, tracking

Estilo

surreal cinematic, urban night

Versão para transferência de movimento

Use com um vídeo de referência e a imagem do seu personagem.

Use the reference video for motion. Keep the exact body motion, timing and camera; replace the performer with an anthropomorphic tabby cat smoking a cigarette; setting is a dark alleyway with purple neon lighting.

Prompt negativo

human, person, distorted face, blurry, low resolution

Post original

AI video gets expensive when you let the model guess everything. I tested a different Seedance workflow: Motion reference → open-source depth/control maps → structured generation → Seedance. Result: • fewer rerolls • better motion control • more consistent output • less credit wasted The interesting part isn’t the dancing cat. It’s that better control before generation can be cheaper than brute-forcing generations until one works. AI video shouldn’t be a slot machine. Give the model structure first.