Skip to main content

Beat-Synced Garage Cuts

One dancer, one locked frame, a cut on every kick: jacket and angle change, body stays.

Dance & music videoText 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

One dancer in a concrete parking garage holds the same spot while the edit cuts on every kick drum: jacket changes, angle changes, hair changes, body never leaves frame. The camera never moves, locked at chest height and centred. One caged work lamp on a pillar throws a long shadow forward, floor dark, no fill. Cold industrial grade, slight grain. Audio: a four-on-the-floor kick with a hat on the offbeat.

Settings this prompt was written for

Settings this prompt was written for
FieldValue
ModeText to video
Duration8 seconds
Resolution720p
Aspect ratio1:1
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

This is a cut-driven case, so everything that normally moves is frozen: camera locked, dancer centred, same spot. What changes on each kick is only costume and angle, which the model can swap without re-solving the body, and that is exactly why the shot survives a hard edit. The work lamp gives one long shadow to read the footwork against, and a four-on-the-floor kick with an offbeat hat tells the edit precisely where each cut belongs. The square frame keeps the pose centred on every social placement.

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.

beat sync video promptcut on the beatsolo dance loopmusic video edit

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.