Two Kittens Standing Upright on a Night Beach

A 10-second realistic handheld clip of two kittens standing on their hind legs in shallow water on a wet sandy beach at night. Gentle waves roll behind them as they hold a playful, human-like pose under soft night lighting.

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Sharon Riley @Just_sharon7 ·
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Prompt

A 10-second realistic handheld video at night on a wet sandy beach. A tiny white kitten with grey markings on its head stands upright on its hind legs in shallow water, front paws raised like it’s dancing or balancing, looking curiously at the camera. A small light-brown (ginger) kitten walks toward it, then also rises onto its hind legs beside the white one, both cats standing side-by-side with paws up in a playful, almost human-like pose. Gentle ocean waves roll in the dark background, wet sand glistening under soft night lighting. Cute, slightly shaky handheld footage, adorable and whimsical atmosphere
? 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 16:9 and clip duration to 10s.

What makes this prompt work

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

CAMERA
"handheld" is a core cinematic camera technique for establishing spatial immersion and subject framing.
LIGHTING
"soft light" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"playful" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION
At 10s, 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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