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.

モデル

Seedance

ワークフロー

motion transfer

長さ

59s

アスペクト比

9:16

カメラ

medium shot, tracking

スタイル

surreal cinematic, urban night

モーション転送版

参考動画と自分のキャラクター画像と一緒に使ってください。

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.

ネガティブプロンプト

human, person, distorted face, blurry, low resolution

元の投稿

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.