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Prompt recipeUpdated 1 min readBy Windflow Labs

Cyberpunk alley world model prompt

Copy this cyberpunk alley world model template. Find source guidance, a simpler variation and motion checks for your video model.

Create a navigable urban scene with a visible decision point.

Copyable prompt

An explorable futuristic alley with a broad central walkway, neon shop fronts and a visible junction ahead. Eye-level camera, rain-dark pavement and restrained fog. Maintain clear space for navigation, consistent building facades and recognizable landmarks as the viewer moves and looks around.

This is an editable starting template. The model, reference input and serving profile determine the output; evaluate the generated result before using it in a product.

Choose the input

A street image with perspective lines and an unobstructed central path.

Describe a navigable scene, then use supported movement and look controls to explore it. Pair the prompt with a seed image that shows a clear route and stable perspective.

A simpler variation

Change the scene to a dry evening and reduce fog for clearer movement feedback.

What to inspect

Turn at the junction and return. Observe whether shops and signs remain recognizable.

Record the input, supported control, model profile and the visible result. Change one variable at a time to learn which instruction affects your scene.

Models and next steps

Browse interactive world model prompts, or assemble your own with the prompt generator.

FAQ

Can I copy and edit this video prompt?

Yes. Copy the template, replace the subject and scene details, and adapt it to your model's supported input. Start with the simpler variation if the output becomes unstable.

Does this template guarantee the described result?

No. It expresses the intended scene or edit. Inspect the model's output for identity, motion and continuity before publishing or integrating it.

How should I evaluate a change to the prompt?

Keep the source input and serving profile constant, change one instruction, and compare the visible result over several runs. Measure responsiveness separately from output quality.

Run realtime models inside your product.