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Confession in the Car

Engine off, rain on the glass: a confession the driver cannot look at.

Story & dialogueImage to videoNeeds one reference image311 credits

Fills the prompt and every setting below into the Seedance 2.5 form. Nothing is submitted until you press generate.

The prompt

Keep both passengers, the clothing and the car interior exactly as in the reference image. Parked at night with the engine off; the driver grips the wheel with both hands and stares ahead, says something, then looks down, while the passenger slowly turns to face them. The camera stays outside the windscreen at bonnet height, static, rain beading on the glass. Dashboard glow, one street lamp behind. Rain on the roof and a seatbelt creaking.

Settings this prompt was written for

Settings this prompt was written for
FieldValue
ModeImage to video
Duration8 seconds
Resolution720p
Aspect ratioadaptive
AudioAudio on
Credits311

They are the real price of that exact configuration — computed with the same pricing engine the API charges with, at the resolution, duration and audio setting shown on the card. Change any of those in the generator and the price updates with it.

Why it works

Shooting through the glass from outside solves the hardest problem in a car scene: you get two people in one frame without fighting the interior for camera space. The performance is written as a sequence of gaze — stare ahead, look down, turn — because where each person is looking carries the confession better than any facial detail a model can generate. Rain beading on the windscreen adds motion the static frame would otherwise lack.

What to put in the reference image

Upload a two-character still shot through a car windscreen or side window, with both faces lit by the dashboard or a street lamp. Avoid daytime images with strong sun and any frame where a number plate or logo is legible — the model reproduces readable text and it will look wrong.

confession in a car prompttwo people in car night sceneimage to video dialoguerainy car scene cinematic

Prompts stay in English on every language of this site: that is the language the model was trained on, and translating a prompt changes what it renders. The page around it is translated.