Use Case

AI Product Videos: Turn Product Photos Into Motion

Product pages with video convert better than pages with stills alone — but shooting video for every SKU is not realistic for most stores. Image-to-video generation closes that gap.

Start from the photo you already have

The mistake most stores make is prompting a video model to invent their product from scratch. It will not match. Instead, start from a real product photograph and use image-to-video so the shape, colour, label and material stay exactly as they are.

Wan 2.6 is the natural starting point for this, and Kling 2.6 is the choice when you want a specific camera move such as a slow orbit or a push in on a detail.

A repeatable per-SKU workflow

  1. Pick your best existing product photo — clean background, sharp focus.
  2. If you need a better base image, generate or refine it with Seedream 4.5 or Nano Banana Pro.
  3. Animate with a short, specific motion prompt — one movement per clip, not five.
  4. Preview in standard quality, then render the approved version at high quality.
  5. Reuse the same prompt structure across the catalogue so the set feels consistent.

Where these videos go

  • Product detail pages, above the fold next to the gallery.
  • Paid social — see the social media ads workflow for the vertical format.
  • Email campaigns, as a looping preview linking back to the page.
  • Marketplace listings that accept video assets.

Keeping the catalogue consistent

Consistency beats novelty across a catalogue. Lock one camera move, one lighting description and one clip length, then apply them SKU by SKU. The result reads as a considered brand system rather than a folder of unrelated AI clips.

Related

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