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Seeddance 2.0raw film camera footage, overcast rainy day (grey cloudy ...
视频
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raw film camera footage, overcast rainy day (grey cloudy ...

E

By

el.cine

Prompt

VIDEO · 1

raw film camera footage, overcast rainy day (grey cloudy sky, steady moderate rain with visible streaks — not a downpour, kept light enough to read faces — wet reflective streets and puddles, soft flat daylight). Same rain intensity in every shot. Natural light, NO color grading — looks like real unedited footage, not glossy, not graded. CAMERA: handheld shaky throughout, highly dynamic: quick zoom in/out, fast whip-pans, snap pushes timed to throws/catches/impacts; steadier only on tight close-ups. PERFORMANCE (distinct acting per character): - the Clown: rubbery, theatrical circus-clown physicality — bouncy springy movement, big sweeping arm flourishes, exaggerated lunges and recoils, elastic face (eyes popping wide, brows flying, mouth stretching huge), gleeful and unhinged, always over-the-top. - the Colonel: cranky old-boomer energy — stiffer, slower, heavier; dismissive scowls and eye-rolls, a sour set mouth, deliberate cane taps and curt hand waves, grumpy and unimpressed even when he attacks. Both read big and comedic but stay fully photoreal, never animated-looking. EMOTION = BODY (not labels): show every feeling through visible movement: eyes, brows, mouth, head tilt, hands, shoulders, stance. Keep both characters alive in every shot even when still: breathing, blinks, small weight shifts, rain landing on them. VOICE: lifelike voice (use this voice @[Audio 1](audio_1) for Colonel / use this voice @[Audio 2](audio_2) for Clown): natural breaths and rhythm, not flat TTS; the emotion of each line matches the action on screen (furious, taunting, straining, weak, smug). CHARACTERS: "the Colonel" (KFC — white suit, white goatee, glasses, cane) vs "the Clown" (McDonald's — red hair, yellow jumpsuit, red-white stripes); they duel by hurling food across the street — Colonel throws fried chicken, Clown throws burgers. @[Image 1](image_1) is the Colonel, @[Image 2](image_2) is the Clown ENVIRONMENT (identical every gen): rainy wide American downtown street: overcast grey sky, steady moderate rain (visible streaks, not a downpour), wet reflective asphalt, puddles; two fast-food restaurants on opposite corners (red-white vs yellow-red). Reference @[Image 3](image_3) is wide street + @[Image 4](image_4) is KFC Store, @[Image 5](image_5) is McDonald's Store STAGING (fixed): Colonel always at the KFC storefront, Clown always at the McDonald's storefront opposite, facing across the street — never together in the middle; each keeps his own store visible behind him. AUDIO: no music or score; only diegetic sound (steady rain, footsteps in puddles, food whooshes, wet impacts and splashes, street tone). TEXT: No on-screen text or subtitles. Shot 1: medium shot on the Colonel standing right in front of KFC store — he lifts one hand to catch it... the burger swerves past his palm and splats square into his face, then peels slowly down leaving a smear of sauce and leftovers. quick zoom in, his face begins to tremble — a vein bulging at his temple, jaw muscles twitching, nostrils flaring, one eye ticking, knuckles whitening as his fist crushes the cane — fighting with everything he has to hold his temper in. He drags one slow, shaking breath through gritted teeth. Then, low and quaking with barely-contained fury, right on the edge of erupting but forcing it down: "You brought a Happy Meal to a gunfire, boy." Shot 2: hard cut to high angle close up shot of the Clown doubled over laughing, head thrown back, slapping his knee, eyes squeezed to manic slits. He howls: "What about a cannon?" laugh and slapping his knee

Prompt structure analysis

This 视频 prompt uses about 3563 characters across 37 descriptive segments. It builds the shot around “raw film camera footage, overcast rainy day (grey cloudy ...” and explicitly controls camera, lighting, action, visual style, audio, setting.

Control dimensions detected

CameraLightingActionVisual styleAudioSetting

How to adapt it

  1. Replace the main subject or setting in “raw film camera footage, overcast rainy day (grey cloudy ...” while preserving the original action logic.
  2. Keep the camera instruction and change only its speed, direction, or framing.
  3. Generate a baseline, then change one variable at a time to compare motion, consistency, and pacing.

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Seedance 2.0 prompt examples that show the result

Each example pairs reusable prompt text with a playable video, so you can judge camera motion, pacing, lighting, subject consistency, and visual style before generating.

From prompt idea to AI video in one workflow

Choose a prompt, refine the scene, add a reference image when needed, then set aspect ratio, resolution, duration, and audio in the side generator.

How to write a stronger Seedance video prompt

Describe the subject, action, setting, camera movement, framing, lighting, visual style, and timing. Keep instructions concrete and remove details that do not change the shot.