Image-to-video begins with a frame you already trust, making it the right starting point for product images, editorial art, or a locked composition. Confirm the actual Wan-family model in the interface: “Wan 3” is a workflow label here, not an official model release claim.
Prepare the anchor image
Use a sharp image with a single focal subject, enough edge detail, and no tiny critical text. Crop to the delivery ratio before upload. If the image includes a logo or person, make sure you own the asset or have permission to use it.
Prompt motion, not a replacement image
Describe camera movement and one physical action: “Slow push-in; the paper edges lift in a light breeze; preserve the poster composition.” Avoid repeating a competing environment or asking the model to redesign the product. Start with a restrained motion request; increase complexity only after the anchor remains stable.
Review with a practical checklist
Check identity, geometry, background continuity, motion direction, and the first and last usable frames. Pain point: teams often blame a model when the input frame is too busy. Our added value: isolate the cause—source quality, motion intensity, or prompt conflict—before rerunning. Try an image-led draft, then use successful stills as a reusable brand asset library.
Sources
- Wan-AI GitHub — official public project resources.
- Wan-AI on Hugging Face — official model materials.
- Alibaba Cloud Model Studio — official platform documentation.
- C2PA specification — provenance guidance.
