Wan 2.7 Prompts

Moonlit Tea Delivery Wan 2.7 Prompt

The bicycle courier parks beside the glowing tea stall and lifts the red delivery bag from the handlebars. Steam curls from the steel kettle while paper lanterns sway over the riverside lane. The courier accepts a small tea cup, then rides away through the cobalt-blue night. The camera makes a slow arc around the stall. Realistic cinematic motion with gentle street ambience.

Moonlit Tea Delivery Wan 2.7 Prompt

This Moonlit Tea Delivery Wan 2.7 Prompt makes a small night story around a bicycle courier, a tea stall, and lantern light. Use it when a short video needs clear action, warm street detail, and a gentle camera move.

Moonlit Tea Delivery Wan 2.7 Prompt first frame with a bicycle courier and tea stall
First frame used for the Wan 2.7 image-to-video render.

Courier collects the tea

The main sequence gives every beat a job: park, lift the bag, collect the cup, then ride away. The slow arc makes the stall feel like the center of the scene.

The bicycle courier parks beside the glowing tea stall and lifts the red delivery bag from the handlebars. Steam curls from the steel kettle while paper lanterns sway over the riverside lane. The courier accepts a small tea cup, then rides away through the cobalt-blue night. The camera makes a slow arc around the stall. Realistic cinematic motion with gentle street ambience.

Settings: alibaba/wan-2-7, image-to-video, 5 seconds, 720P. Input: the first-frame image above. Prompt Extend off. Watermark off.

Try this prompt on Wiro

Variations

Low wheel-level exit

The variation starts lower, follows the wheels, and delays the rider exit. It works well for vertical crops or edits where puddle reflections matter more than the courier’s face.

A close low-angle view follows the bicycle wheels through the lantern-lit riverside lane. The tea stall owner pours tea as steam catches the gold light. The courier waves, pushes off, and rolls past shimmering puddles while lantern reflections ripple on the ground. Smooth realistic movement, quiet night market ambience, cinematic pacing.

Settings: alibaba/wan-2-7, image-to-video, 5 seconds, 720P. Input: the same first frame. Prompt Extend off. Watermark off.

Try this prompt on Wiro

Why this Moonlit Tea Delivery Wan 2.7 Prompt works

  • The first frame locks the courier, bicycle, stall, kettle, and lane into one readable composition.
  • The prompt gives the courier a simple path through the shot rather than several competing actions.
  • Steam and lanterns add subtle movement around the subject, which helps the scene feel alive before the bicycle leaves.
  • A slow arc provides camera direction while keeping the stall and rider in view.
  • The negative prompt calls out broken wheels and duplicated people, two details that can distract in a close street scene.

Wan 2.7 works best here because the starting image already carries the color contrast. Cobalt shadows and gold lanterns are present before the video begins, so the motion prompt can concentrate on steam, a handoff, and the ride away. That division gives the five-second clip a clear rhythm.

Keep the delivery bag and tea cup distinct colors when making a new first frame. Small color anchors make hand actions easier to follow. If the scene needs more drama, change the weather or the camera height, not every object in the lane.

More Wan 2.7 prompts

See more real examples in Wan 2.7 Prompts. Continue with Night Shift Laundromat, Sunrise Kite Market, and Tiny Dumpling Cinema. For another night-market video style, visit Grok Imagine Video 1.5 Prompts.

More on the model itself: Wan 2.7 docs on Alibaba Cloud Model Studio.

Run this prompt yourself

Every example above was generated on Wiro. Paste the prompt, pick the model, and get your own result.

Open Wan 2.7 on Wiro


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