Model guide
Wan AI Prompt Guide
Learn practical Wan AI prompt patterns for AI video recipes, camera motion, style, lighting, and constraints.
Practical starting point
Wan recipes should keep the main subject and scene stable while describing motion and visual style in a compact way.
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Model prompt notes
- Structured descriptive wording with coherent scene continuity.
- Different hosted Wan implementations may expose different settings.
- Best for: structured scene prompts
- Best for: open model workflows
- Best for: repeatable templates
Prompt structure
- Open with duration, aspect ratio, subject, action, and setting.
- Add camera, lighting, and style as one compact production sentence.
- Use continuity language to keep the scene coherent.
- End with concrete negative constraints.
Workflow tips
- Use Wan drafts when you want a repeatable template that can move between interfaces.
- Keep the main subject stable across prompt variants.
- Use compact production language rather than many disconnected fragments.
- Document the settings used in each hosted implementation because controls may differ.
What to avoid
- Assuming every hosted Wan workflow exposes the same settings.
- Changing subject, setting, and motion at the same time during iteration.
- Overly broad style phrases without concrete scene language.
Wan prompt FAQ
Why use a structured sentence for Wan prompts?
A structured sentence keeps subject, action, scene, camera, light, and style in one coherent draft that can be reused across workflows.
Can I use these prompts in different Wan interfaces?
Use them as prompt drafts, then adjust to the settings and controls exposed by the specific interface you are using.
What should I keep stable while testing Wan prompts?
Keep subject and setting stable first. Change motion, light, or style one at a time so you can compare results.
Related prompt pages
Independent prompt drafting aid. Verify final prompts inside the current model interface.