First-Person Anime Bike Ride to a Japanese Grocery Store

A first-person anime journey through a sunny traditional Japanese residential neighborhood, riding a bicycle to a local grocery store called Kimura Store. The viewer enters the shop, selects fresh produce and groceries, pays at the counter with a kind clerk, and packs everything into a reusable eco-bag. The style is warm, cozy, and detailed with smooth cinematic animation.

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Kaito@アプリアフィリ×AI @kaito_present_ ·
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Prompt

日本での一人称視点のアニメーション旅:晴れた伝統的な住宅街を自転車で走り、「キムラ商店」という地元の食料品店に向かい、店内に入り、トマト、じゃがいも、牛乳、鶏肉、卵、缶詰などの新鮮な食材を選び、親切な店員がいるカウンターで支払い、再利用可能な「KIMURA STORE ECO-BAG」に食料品を詰め込む。温かく居心地の良い雰囲気で、詳細な日本の風景と滑らかな映画的なアニメーション。
? 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 10s.

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.
LIGHTING
"natural light, warm tone" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"cozy, 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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