Skip to main content

Reunion at the Gate

A name card no longer needed: a young woman drops her bag and runs the last ten metres.

Story & dialogueText to video311 credits

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

The prompt

A man in his sixties stands at an arrivals gate holding a cardboard name card he no longer needs; a young woman with a duffel bag sees him mid-stride, stops short, drops the bag strap and runs the last ten metres. The camera holds at chest height inside the crowd, then tracks with her through blurred shoulders. Late afternoon light through terminal glass, long reflections on polished floor. Creased travel clothes, scuffed wheels, tape on the sign. Gate announcements and rolling suitcase wheels.

Settings this prompt was written for

Settings this prompt was written for
FieldValue
ModeText to video
Duration8 seconds
Resolution720p
Aspect ratio16:9
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

The prop carries the story: a name card held by someone who clearly does not need it tells you the relationship before anyone moves. The prompt stages three readable states — stop, drop, run — which is what a model can actually animate over eight seconds, and the crowd crossing the foreground hides the joins. Written at chest height with ambient terminal sound so the beat feels observed rather than staged.

Mode

Most cases are text-to-video and need nothing but the prompt. The ones marked "needs one reference image" are image-to-video: you supply a photo and the prompt keeps that subject or product locked while the camera moves.

airport reunion video promptemotional reunion scene aidialogue scene ai video promptstory video prompt

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.