What Is Image-to-Video AI?
Image-to-video AI is a generative technology that takes a static image as input and produces a short video clip showing the scene in motion. Given a product photograph, the model can generate subtle animations - liquid pouring, fabric flowing in a breeze, a perfume bottle catching light - that bring the product to life.
This capability is transformative for ecommerce because it allows brands to produce video content without filming anything. A packshot library becomes a video library overnight, enabling video commerce at a scale that was previously impossible without significant production budgets.
How Image-to-Video AI Works
Modern image-to-video models use a combination of video diffusion models and optical flow prediction. The model learns to predict plausible future frames given an initial frame, generating a sequence that looks like natural motion. Text prompts or motion prompts can guide the type of movement: "gentle rotation", "liquid splash", "fabric wave".
Bryft integrates image-to-video AI into its platform, allowing retailers to select a motion style and receive a polished video in minutes.
Ecommerce Applications
- Product reveal animations for social media
- Animated product cards on product detail pages
- Video assets for paid social and Google Video campaigns
- Shoppable video content from packshot photography
- Dynamic hero images for email marketing
Real-World Example
A jewellery brand uploads a single ring packshot to Bryft. In under a minute, they receive a 5-second video showing the ring slowly rotating on a dark velvet background, catching light from multiple angles. The video is deployed on TikTok, Instagram Reels, and the product page - generating 3x more engagement than the static image alone.