The best AI-video prompt is a shot brief: it tells the generator what the viewer sees, what changes, and how the camera behaves. This guide uses “Wan 3” as a workflow label; verify the underlying Wan-family model in the interface because no official Wan 3/3.0 release is publicly listed as of August 2, 2026.
The prompt template
[subject] + [one action] + [environment] + [camera] + [light/style] + [ending]
Example for a product shot: “A matte-black watch on pale concrete rotates one quarter turn; morning window light; macro push-in; finish on the crown.” Example for an image-led shot: “Preserve the source composition; slow dolly forward; the fabric moves gently; no new objects.”
Fix the right failure
If the subject changes, simplify the scene or anchor it with an image. If movement warps, request less movement. If the camera ignores the prompt, put the camera instruction earlier and remove competing motion. If the clip feels busy, reduce it to one action and one camera move.
Pain point: prompt libraries often copy beautiful phrases without explaining how to debug them. Our added value: label the failing component, then edit only that component. Test your prompt in Wan 3 AI and keep the successful version with its settings.
Sources
- Wan-AI GitHub — public Wan-family materials.
- Wan research paper — technical background.
- Wan-AI Hugging Face — official model collection.
- C2PA specification — provenance context.
