Cat on Bicycle Tries to Steal Fish, Gets Honked At

A POV shot from inside a parked car watches a ragdoll cat perched on a bicycle reach for a basket of dead fish carried by a woman on the next bike. When the car honks, the startled cat flinches, retracts its paw, glares back, and swipes at the camera while meowing angrily.

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Prompt

a city street during a red light; everyone is stopped and waiting. a young man is on a bicycle with a ragdoll cat perched on the back. beside him, a beautiful young woman is on another bicycle, carrying a basket full of dead fish on her rear rack.

the camera angle is a pov shot from inside a car parked directly behind the two bicycles. the ragdoll cat reaches out a paw, attempting to snatch a fish. just as its paw extends, the car honks - beep, beep, beep! startled, the cat flinches and quickly retracts its paw. it turns to glare fiercely at the car behind it, lets out a sharp meow, and raises a paw to swipe angrily toward the camera. the scene is filled with the sound of fierce, disgruntled meowing.
? How to use this prompt ▾
  1. Copy the prompt using the green "Copy prompt" button above.
  2. Open your model — launch Seedance 2.0 on its official interface.
  3. Paste & generate — keep the verbatim prompt text for best adherence. Set aspect ratio to 9:16 and clip duration to 12s.

What makes this prompt work

Every insight below is verified against benchmark generation parameters, not asserted. How our prompt engineering benchmarks work →

CAMERA
"pov" is a core cinematic camera technique for establishing spatial immersion and subject framing.
MOOD
"playful" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION
At 12s, this clip is optimized for high temporal coherence and fluid, realistic motion physics.
MODEL
Seedance 2.0 (ByteDance) provides the underlying diffusion and motion architecture. Camera, lighting and duration cues transfer across models — what differs is how literally each model interprets motion.
PROMPT LANGUAGE
The prompt is written in English. This library keeps every prompt in its original language rather than translating it — the exact words are what was conditioned during generation.
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