AI apparel photographyBuilt for batches

Flat product shot.
Full catalog life.

Turn up to 100 apparel images into ecommerce-ready photographs of real-looking models—without planning a shoot for every SKU.

100images per batch
5model demographics
1zip at the end
Source → storefront
Product Pics batch showing an original apparel image beside the generated lifestyle photograph
Garment fidelity
Batch 04 / Ready
Preserve the product Vary the scene Process the catalog Export the shoot

01 / The Tuesday problem

One beautiful AI image is a demo.
Forty new products is a workflow.

Product Pics was built for the moment a merchandising team receives a folder of flat shots and needs a storefront by the end of the day. There is no canvas to babysit and no scene to rebuild forty times. Define the batch, upload the products, and let the system carry the repetitive work.

01

Fidelity

The garment stays the subject.

Image editing starts from the source photograph, preserving the color, print, texture, logo, and silhouette a shopper expects to receive.

02

Throughput

A hundred SKUs is one job.

Direct-to-R2 uploads and asynchronous generation make the workflow fit a catalog refresh, not just a one-image demo.

03

Variety

The batch never looks templated.

Scenes are deliberately varied across the run so a collection feels photographed over multiple sessions, not stamped from one prompt.

02 / From hanger to homepage

A photo pipeline
with no fiddly middle.

Everything between upload and download is designed to disappear into one reliable batch run.

01

Set the brief

Choose the wearer, age or age range, and create one working batch.

02

Drop the catalog

Upload as many as 100 flat product shots directly to cloud storage.

03

Leave it running

Every image is normalized, assigned a varied scene, and processed asynchronously.

04

Take the whole shoot

Retry individual failures, then export every finished image and its report as one zip.

03 / Built like an operator tool

The bytes skip the server.
The work keeps moving.

Uploads travel directly to Cloudflare R2. Generation runs asynchronously. Individual failures can retry without poisoning the batch. The result is a narrow tool that stays useful at real catalog volume.

Next.js 16Cloudflare R2RunPodPostgresSharp
Batch / Summer drop96 complete
Uploaded100
Generated96
Retrying04
summer-drop.zipImages + summary report

Catalog photography, without the calendar.

Give every product
somewhere to go.

Sign in to Product Pics View source