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anime urban Seedance 2.0 prompt

Fast Whip-Pan Through 19th-Century Paris Market

A full-color Japanese animation sequence racing through the crowded Les Halles central market in late 19th-century Paris. Rapid, energetic whip-pan camera movement captures merchants opening stalls while colorful cheese, wine, bread, flowers, and produce fly past amid hurrying carriages and early automobiles. Warm morning sunbeams add a high-energy, bustling beauty.

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雨雲(Amagumo)806 ｜ AI Animer @ai_animer · Original post: Aug 30, 2026

Prompt

日本のフルカラーアニメーション。混雑した19世紀末パリのLes Halles中央市場を高速の鞭パンショットで駆け抜ける、商人たちが店を開ける間の素早くエネルギッシュなカメラの動き、カラフルなチーズ・ワイン・パン・花・生鮮品が飛び交い、馬車や初期の自動車が急ぐ、高いエネルギーときしみ合った美しさ、暖かい朝陽のビーム。

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Copy the prompt using the green "Copy prompt" button above.
Open your model — launch Seedance 2.0 on its official interface.
Paste & generate — keep the verbatim prompt text for best adherence. Set aspect ratio to 9:16 and clip duration to 15s.

Spec sheet

Duration	15s
Camera	pan · whip pan
Lighting	warm tone
Mood	energetic
Aspect ratio	9:16
Difficulty	intermediate
Model	Seedance 2.0
Prompt language	Chinese
Includes	Not specified

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What makes this prompt work

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

CAMERA: "pan" is a core cinematic camera technique for establishing spatial immersion and subject framing. Also present: "whip pan".
LIGHTING: "warm tone" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD: "energetic" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION: At 15s, 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 Chinese. This library keeps every prompt in its original language rather than translating it — the exact words are what was conditioned during generation.