growsome studio

More product images without another shoot

Traditional ecommerce imagery is expensive, fixed and hard to reuse. You get one model set, one location and one narrow batch of assets.

growsome studio explores a different workflow: keep the product source, then generate the models, outfits, settings and variants around it.

Cream garment editorial still
02

Generation Queue

Queued

Generating

45%

Ready

Failed

What changes with AI-generated models

Move from one-off shoots to reusable image production

The product stays anchored in real catalog data. The model, styling, location and output format become flexible layers you can change for different markets, channels and campaigns.

We are building it to plug into the systems commerce teams already use: SCAYLE, PIMs, ERPs, APIs, file-based product feeds or any other backend that holds product data.

1

Keep the product

Connected product source

SCAYLEPIMERPAPI
2

Cast AI models

Outfit prompt

Cream knit polo,
straight denim,
minimal sneakers,
warm studio light,
clean editorial look.
Gender Men
Season SS25
Setting Studio
Mood Clean
Drop reference image here
3

Change the setting

Outputs

Variations
Aspect ratios
Export
Product source > model > setting > output
Cream knit product detail
Product image
Abstract model placeholder
Generated outputs

Interested in trying it?

Send us a short note about the products, systems and image formats you want to test. We are prioritizing teams with real catalog workflows and clear model, setting or campaign-version needs.

Built for SCAYLE, PIMs, ERPs, APIs and product feeds
Blueprint-style generated image contact sheet