AI photoshoot
AI photoshoot for clothing brands
Upload the supplier photos, flat lays or packshots for the range. Pick the model and the set once. For every garment you get a full-body shot, a back view and a detail crop, on the same model in the same light.
Check crew sweater on the saved model, full-body listing shot. The three pairs below are the same model on the same studio set, each from its supplier photo.
Mechanism
Three supplier photos in, three listing shots out, on one model in one studio.
Input
Output
Input
Output
Input
OutputThe jeans came from a warehouse floor, the top and the sweater from seller photos. Each was generated on the model saved for this range, in the same grey studio. The back view of the sweater is a camera edit, the approved front photo re-framed rather than generated again, so the person, the light and the set carry over. That is what a photoshoot is here: one run over the range with one model and one set, priced before it starts.
In numbers
What a run costs and what it returns.
| What you send | A product photo per garment | Supplier photo, flat lay, packshot or ghost mannequin. A clear front view is enough. |
|---|---|---|
| What comes back | Full body, back, detail | The Product page set, a ready-made run. Back and detail are camera edits of the approved front. A 360-degree clip can be added. |
| A photo | From 3 credits, $0.30 | Nano Banana 2 at 1K. 5 credits at 2K or with Nano Banana Pro, 12 with GPT Image 2 High. A credit is $0.10. |
| A 300-garment run | From 2,700 credits, $270 | Three photos per garment at 3 credits, before the check. The estimate is shown before you approve. |
| The AI check | 1 credit a photo, optional | Compares each photo with its product photo, retries what drifted, and writes the reason on each rejection. |
| The model and the set | Saved once | The model costs 1 credit to create. The art direction, meaning set, light and framing, is saved with it. |
| A run | Up to 10,000 images | A run can also start on its own whenever a new garment finishes processing. |
| Delivery | Your store, the API, the library | Guides for Shopify, WooCommerce, Magento 2, Amazon and Salesforce Commerce Cloud; REST API with webhooks. |
Workflow
The production loop
Send the range
Upload the product photos you have, one per garment, by drag and drop, CSV or API.
Set the shoot once
Pick or create the model, choose the set, light and framing, and save it as the art direction for the run.
Approve the estimate, receive the assets
The run is priced before it starts. Approve it, then deliver the assets to the store or your systems.
Run it from your assistant
Run this photoshoot from your AI assistant with a Uwear template.
Connect the Uwear MCP server to ChatGPT, Claude, or Codex and ask for the Product page set template. It is a batch workflow that runs once per garment: front, upper-body, and back product-page shots on a white studio background, plus a 360-degree video, from one garment photo. Any Uwear account can load it by name, and the assistant shows a costed brief in credits before generation starts.
For a campaign set of the same range in a lifestyle setting, ask for the "Instagram drop" template instead: three lifestyle photos and a clip per garment.
Copy this prompt into your assistant
Connect to the Uwear MCP server and load the "Product page set" template. Run it on every garment I upload with my saved model and my saved studio art direction, turn the AI reviewer on, and show me the costed brief for the whole range before generating.
Frequently asked questions
A run that turns the product photos you already have into listing photos on a model, across the whole range at once. On Uwear the run uses one saved model and one saved art direction, returns a full-body shot, a back view and a detail crop per garment, and is priced in credits before it starts.
Yes. The model is saved in your library and the art direction is saved with the run, so every garment receives the same person, set, light and framing. When the AI check is on, a photo that shows a different person is rejected and retried.
Through the store guides, through the REST API with webhooks, or from the shared library in Studio. An automation can start a run whenever a new garment finishes processing and deliver it without anyone opening the app.
Next step
Map this workflow into your catalog operation.
Start with the use case, then decide whether the right access path is Studio, API, MCP, or a custom enterprise rollout.
Related
- Catalog visuals at scaleThe same run at thousands of products, with batch delivery and continuous intake.
- AI fashion model generatorThe generator underneath: inputs, price per photo, batch size and reviewer.
- Art directionSave the set, light, framing and garment rules once; every run reuses them.
- Review and QAWhat the AI reviewer checks, what it retries, and what it costs.
- How fashion brands use AI product photography at scaleA real run on a saved model, with the AI model and credits named per photo.