Use “Wan 3” as the workflow name in this guide, but confirm the actual model shown in your generator. The goal is not a single lucky render; it is a repeatable path from brief to a clip someone can approve.
1. Start with one shot and one objective
Write a brief containing subject, action, environment, camera, light, and a final frame. Example: “A brushed-steel bottle rotates slowly on a pale stone plinth; soft window light; macro dolly-in; end on the front label.” Keep the first version short. Long prompts often hide conflicting instructions.
2. Choose the right input
Use text-to-video for a new idea. Use image-to-video when the first frame, product silhouette, or palette is non-negotiable. Upload only assets you are allowed to use. For an image-led workflow, state motion and camera direction rather than re-describing every visual element.
3. Generate, inspect, and change one variable
Run a short draft at the intended aspect ratio. Review subject stability, action completion, camera behavior, lighting, and unwanted text. Then change one variable per rerun. This is faster than rewriting the entire prompt after every miss.
A decision rule competitors often omit
Pain point: users spend credits chasing a long, complicated prompt. Our added value: a shot-first review loop: make the still frame credible, add modest motion, then build a sequence in editing. Start a small test in Wan 3 AI and use the prompt guide before scaling output.
Sources
- Wan-AI GitHub — official public workflow materials.
- Wan-AI models — model cards and available artifacts.
- Alibaba Cloud Model Studio — official platform documentation.
- C2PA specification — provenance considerations.
- NIST AI Risk Management Framework — review and governance context.
