Silver-Haired Girl Weeping Among Stardust in Deep Purple Night

A 10-second anime-style sequence of a silver-haired girl in an ethereal gown standing amid swirling stardust in a deep purple and silver night sky. She whispers three Japanese lines across three shots as the particle motion syncs to her shifting emotion, moving from calm to tears. The camera slowly zooms in, then pushes to her face, then pulls back to a full-body shot.

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妖精アーヤさん @aiehon_aya ·
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Prompt

【映像コンセプト】星屑に包まれた少女が、誰かを想って涙する10秒。ウィスパーボイス(日本語)で呟く3つのセリフ。深紫と銀色。粒子は心情に同期。

【キャラクター】銀髪の少女。流れるシルバーヘア、エーテルガウン。静寂→切実さ→涙へ。
【背景】夜空。無限の星々とスターダスト。深紫×銀色。粒子が回転・落下。

【Shot 1(0-3秒)】カメラ:ゆっくりズーム。少女が星屑に包まれ立つ。少女:「きれい…」粒子:緩やかに舞う。
【Shot 2(3-6秒)】カメラ:顔に寄る。少女:「でも、本当はあなたとこの景色を見たかった」粒子:激しく渦巻く。涙が輝く。
【Shot 3(6-10秒)】カメラ:引いて全身。少女:「会いたい…会いたいよ…」涙が頬を落ちる。粒子:穏やかに回転。
【禁止】急激な色変化。激しい動き。キャラ移動。
? 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
"zoom" is a core cinematic camera technique for establishing spatial immersion and subject framing. Also present: "close-up", "pull-out".
LIGHTING
"low-key, rim light" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"cinematic" — 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 Chinese. 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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