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Market Morning Steam

A market photo sent into motion: hands bag produce, steam rolls, and the camera weaves up the aisle.

City & streetImage to videoNeeds one reference image195 credits

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

The prompt

Preserve the stall, the crates and the vendor exactly as photographed. Hands bag green beans and lift them over the counter while steam rolls off a pot at the back, and a shopper steps in from the left to point at a crate. The camera weaves forward at chest height through the narrow aisle, tarpaulins sliding overhead. Overcast dawn light stays flat and silver so the steam reads white. Warm 16mm, natural colour. Audio: crates scraping, vendor calls, a knife on a board.

Settings this prompt was written for

Settings this prompt was written for
FieldValue
ModeImage to video
Duration5 seconds
Resolution720p
Aspect ratioadaptive
AudioAudio on
Credits195

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

Chest height is where a person walking a market actually holds a camera, so matching the reference photo to that height means the prompt only has to add hands and steam. Protecting the stall and the vendor stops the model redecorating the stall as it moves. Flat silver overcast light holds across five seconds far better than hard sun, which flickers when the camera travels.

What to put in the reference image

Upload a photo of a produce or food stall taken from the aisle at about chest height, with the vendor and some of the produce sharp. Avoid wide overhead shots of a whole market, because the camera walks forward from the position it is given, so that position is the shot.

market b-roll promptimage to video crowd scenemorning market video prompthandheld walk through 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.