Cartoon Girl Devours Ramen at a Street Stall

A 3D cartoon character eats ramen at a street food stall in a snappy, pose-to-pose cartoon animation style with quick movements alternating with holds. The sequence uses four cuts: a low-angle shot of her raising chopsticks, a focused slurping shot, a circling profile-to-front shot ending in a zoom on her starry-eyed reaction, and a low-angle shot of the stall owner giving a thumbs up.

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咲山(AI画像・小説垢) @L0fc54feio50017 ·
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Prompt

画像1の3Dのキャラクターが、3Dカトゥーンアニメの動作をする。カトゥーンアニメの動作は素早い動き→止まるの繰り返し。テンポよくすすめる。画像1のキャラクターが屋台でラーメンを食べているシーン。場面①彼女の下からの場面。彼女がラーメンの入った器を見ながら箸を振り上げる場面。食べるのが楽しみで待ちきれない様子。極端なパース、顔が大きく、箸が小さく。カット切り替え。場面②ラーメンを集中した表情ですすって食べている。ものすごい勢いで。カット切り替え。③彼女の胸から上の構図。彼女の横顔→正面へなめらかに動くサークルショット。目を閉じていた彼女が首をふり、髪がそれに合わせて揺れる。ズームアップ、目を見開く😳。美味しい!という感情。背景が✨✨と感動的なグラフィックに。「うんまあい!」というセリフ。表情は🤩。目に星⭐︎。カット切り替え。④屋台のラーメン屋の主人を下からあおるように。ラーメン屋の主人が👍のジェスチャー、表情は🥴
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  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 8s.

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: "low-angle", "orbit", "close-up".
MOOD
"playful, energetic" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION
At 8s, 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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