Use case - AI product photos
How to turn product packshots into AI model photos on Shopify
Short answer
How it works
Pick your products
Choose products from your catalogue using filters for vendor, tags, type or stock. PackScene reads the packshots you already have.
Choose the look
Pick from preset models, a background, the framing (full, upper or lower body) and an aspect ratio. You can generate a front view and a matching back view.
Generate and review
PackScene generates the on-model images and upscales them to 2000 by 2000 pixels. You approve the ones you like and mark the rest as "Don't use".
Publish to the product
Publish approved images straight to the Shopify product media, with control over where they sit in the image order. Failed generations are refunded automatically.
What you get
- On-model images generated from flat-lay or ghost-mannequin packshots
- Front and matching back views for full product detail pages
- Preset models and backgrounds, with framing and aspect-ratio control
- Batch generation across many products at once
- Finished images upscaled to 2000 by 2000 pixels
- One-click publish to Shopify product media, with auto-tagging
How the images are made
PackScene takes the product photo you already have and uses an AI image model to place that product on a chosen model, in the framing and background you picked. It then upscales the result to 2000 by 2000 pixels so it holds up on a product page.
Nothing publishes automatically. You review every image, approve the ones that look right, and only those go to the product. If a generation fails, the credit is refunded.
What it works for
PackScene is built for anything shown on a body: clothing, swimwear, activewear, sleepwear, intimates and accessories. It is a good fit when you have clean packshots but cannot justify a model shoot for every product.
It is not built for hard goods like furniture, kitchenware or tools, where there is no model to place the product on. For apparel specifically, see AI product photos for apparel brands.