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Flower Passing Thank You

A live-action montage where a single flower is passed around the world and each person says "thank you" in their own language.

Aug 19, 202688 views

Prompt

Seedance 2.5

Live-action style, fast editing, cinematic, 4K, 24fps, warm natural light, real human performance, natural lip-sync, no subtitles. The passing of a single flower serves as the core visual thread for the whole video, the flower passing quickly from one country to the next, linking different regions and people around the globe. In each scene, a character receives the flower, shows a sincere smile, and says "thank you" in their local language. The overall pacing is light and fluid, the camera full of motion, emphasizing a real street/life vibe, warm cross-cultural connection, and the passing of goodwill between people. Transition method: the previous character passes the flower out of frame, and in the next shot another character catches the flower in a new scene; or use a fast whip pan, motion blur, or foreground occlusion to complete a seamless transition; keep the flower visually continuous in frame, forming a "one-take around the world" feeling. Camera style: handheld tracking, slight camera shake, fast push-pull, a mix of close-up and medium shots, real ambient sound atmosphere, cinematic street-shooting quality. The background music is warm, light, with a sense of world travel, gently fading out at the end. Scene 1 [reference image 1] Inside a Chinese flower shop, a real, life-like scene. A girl receives a rose, looks at the camera and smiles, saying naturally: "谢谢!" The camera follows the flower handed in from the right of frame, the girl gently lifting the bouquet after receiving it. Scene 2 [reference image 2] An English street, chilly weather, the streetscape natural. A gentleman receives a carnation, smiles and nods, saying: "Thank you!" Through a whip-pan transition, the flower whips in from the previous scene. Scene 3 [reference image 3] A Mexican market, richly colored, full of bustling life. An auntie receives a bunch of marigolds, presses her palms together, and warmly says: "¡Gracias!" The camera sweeps quickly past the stalls and crowd, freezing on the moment of receiving the flower. Scene 4 [reference image 4] An Indonesian village, natural sunlight pouring down. A child receives a frangipani flower, smiles happily, bows slightly, and says: "Terima kasih!" The camera carries a bit of a running feel, the atmosphere pure and natural. Scene 5 [reference image 5] A Thai street, lively and bustling. A vendor receives a string of jasmine garlands, presses palms together, and warmly says: "ขอบคุณค่ะ!" The camera pushes in lightly, the garland swaying gently in the sunlight. Scene 6 [reference image 6] An Arab courtyard, the light soft, the setting elegant. A lady receives a desert rose, touches her chest and smiles, saying: "شكراً!" The image is quiet and warm, the character's expression sincere. Scene 7 [reference image 7] A Brazilian community, the atmosphere warm and vivid. A boy receives a gerbera daisy, very happy, saying: "Obrigado!" The camera is full of rhythm and life. Scene 8 [reference image 8] A Japanese street, an office worker receives a small flower on a bento box, bows politely, and says: "ありがとう!" The camera is short and crisp, keeping the urban rhythm. Scene 9 [reference image 9] A Korean street, a modern urban feel. A young woman receives an azalea flower, naturally clasps her hands together, and smiles saying: "감사합니다!" The camera lingers briefly on the moment of her smile, then the image softly fades out.

How to Adapt This Prompt for Seedance 2.5

  • 1Swap the subject while keeping the camera language: the shot progression, timing beats (e.g. 0-2s / 2-5s) and lighting notes are what make the motion feel cinematic.
  • 2Keep the duration and aspect ratio in mind when editing — longer shots need more keyframes of action, vertical formats favor tighter framing and faster pacing.
  • 3Preserve the negative-style constraints (no text overlays, no face changes, no logos) — they prevent the most common artifacts in AI video generation.

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