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Rainstorm Watchtower Rescue

A four-shot rain rescue written as a full production spec — references, location map, per-shot FOV and distance, hard-cut times and physics notes.

Aug 19, 202663 views

Prompt

Seedance 2.5

SCENE CONTEXT A young Japanese man carries an exhausted young woman in his arms through the rain into an old wooden watchtower shelter. He lays her on a wooden bench, then removes his own coat and wraps it around her so she won't feel the cold, before moving to guard the door — staying alert until he finally rests too, a respectful distance kept throughout. Photorealistic, cinematic movie-scene quality, real Japanese actors, not anime/illustrated. ACTIVE REFERENCES <<<image_3>>>: young Japanese man, damp black hair, dark coat over tunic, protective carrying posture, real human skin texture. 100% matches reference. <<<image_1>>>: young Japanese woman, damp dark hair, kimono-style travel robes, eyes closed, limp and shivering in his arms. 100% matches reference. <<<image_2>>>: wooden Japanese watchtower interior. 100% matches reference, consistent across all shots. LOCATION MAP - Old sliding wooden door, ajar, rain/wind leaking through. - Narrow window slit, storm-grey light, occasional lightning flicker. - Paper lantern (chochin) hanging from a beam — main light source. - Rough wooden walls, old crates, straw mat in corner. - Worn wooden bench where she's laid down. - Puddle near door threshold, lantern reflection. FIRST FRAME He steps through the doorway carrying her, her head against his chest, both drenched, rain visible behind, lantern light on their faces. FORMAT MODE Four-shot sequence, HARD CUTs at 3.5s, 7.5s, 11.0s. Handheld only for carry shot. Photorealistic, natural skin/fabric physics. No subtitles, no music. OPTICS & CAMERA Shot 1 (carry): 50° FOV, 1.5–2m, gentle handheld follow as he enters. Shot 2 (lay down): 56° FOV, 1–1.3m, push-in as he lowers her onto the bench, faint shiver visible. Shot 3 (coat cover): 60° FOV, 2m, three-quarter angle as he removes his coat and wraps it around her, tucking the edges in. Shot 4 (guard, then sleep): 63° FOV, low near door, crane-up to high three-quarter — him now coatless at the door, staying alert, finally closing his eyes to sleep, her warm and undisturbed on the bench. ACTION TIMING 0–3.5s: he carries her in through the rain, her head lolling against his chest. 3.5s CUT. 3.5–7.5s: he lays her on the bench, a small shiver crossing her. 7.5s CUT. 7.5–11.0s: he takes off his coat, wraps it snugly around her. 11.0s CUT. 11.0–15.0s: coatless, he sits guard at the door, alert despite the cold, then eyes close as he finally falls asleep — she stays warm, a clear gap kept between them. PHYSICS Real dead-weight in the carry, wet hair swaying. Coat drapes and settles naturally around her. His bare tunic shows subtle cold response — slight shoulder hunch — through the guard shot. LIGHTING Cinematic low-key, warm lantern glow vs cool blue-grey storm light through the window/door. Faces stay readable, natural film grain, never flat or CG-looking. AUDIO Rain, footsteps, effortful breathing (shot 1); wood creak, faint shiver (shot 2); coat rustle (shot 3); quiet exhale, rain softening, steady breathing (shot 4). No dialogue, no music. POSITIVE LOCKS Man matches <<<image_3>>>, woman matches <<<image_1>>> exactly — photorealistic, not anime. Shelter matches <<<image_2>>> exactly across all shots. He gives her his coat so she won't feel cold, leaving himself in just his tunic. He keeps guard at the door, only sleeping in the final shot, a respectful distance maintained throughout.

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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