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Prompt recipeUpdated 1 min readBy Windflow Labs

Lunar outpost world model prompt

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

Use clear object silhouettes and a sparse setting to evaluate navigation.

Copyable prompt

A small lunar research outpost with a broad marked path between two habitat modules and a rover parked ahead. Eye-level exploration, hard sunlight, long stable shadows and an uncluttered horizon. Preserve module shapes and route landmarks as the viewer walks and turns.

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 lunar scene with full habitat modules, a visible ground plane and a rover landmark.

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

Remove the rover and use a straight path between two modules.

What to inspect

Turn around after passing a module and compare silhouette, door location and shadow direction.

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.