Built for
Industry: Ecommerce & Retail · Delivered: AI Product Image Generation & Editing Tool
Turn a Product Photo and Prompt Into a Styled Ad
A product image and a plain-English instruction go in, a styled advertising image comes out, no reshoot needed.
3 PRODUCTION AI MODELS • 8 PRODUCTS VALIDATED • 13-37s GENERATION TIME • COMPLEXITY 1 BASELINE
The problem
Sellers need distinct ad images, but every new look demands another reshoot.
Industry pain. Online sellers list product after product, and each one needs an ad image. The old way means a photographer, staged product, and a reshoot for every background or angle.
Zendrop's version. Zendrop wanted customers to generate personalized product ads themselves, changing the background, adjusting model and product perspective, and adding text from a prompt, across a full product catalog.
Product photo in, styled ad image out.
We built image models that take a product photo and a written instruction, then generate a styled advertising image. Three models cover clothing edits, promotional posters, and full product ad scenes.
Edit clothing without reshoots
Change the style or colour of clothing in a product image from a written prompt. Brands explore new looks, and no studio shoot needed.
Generate promotional sale posters
Turn a text prompt into a stylised promotional poster for a product, ready for a sale or seasonal campaign, with the masking handled automatically.
Generate full product-ad scenes
Give it a product photo and a description, and it produces a finished advertising image with a new background, staging, and photoshoot.
Polish the finished image
A finishing layer that upscales the image two to four times, sharpens detail, adjusts colour, and refines expression, so the output ships.
Swap the model's face
Provide a source and a target image to change the human model shown in a shot, including a gender change on a generated model.
Add a dressed model
Specify an upper and lower outfit, and it adds a human model wearing that outfit to a bare product shot that had none before.
Solutions We Provided
One prompt in, one ad out.
A product photo and a prompt produce a styled image.
Finishing pass built in.
Upscaling, sharpening, and colour work run automatically.
Validated on real products.
Tested end to end against eight live catalog products.
Three models, three needs.
Clothing edits, promotional posters, and full product scenes.
Masking fully automated.
No manual mask upload in the poster workflow.
Why reshoot every product for every new look?
30 minutes. Bring a product photo and the ad you wish you had. Walk out with an architecture you can build to.
Our process
Four stages, built side by side with your team.
Discovery
Architecture
Build
Validation
We tested the model and utility stack against real Zendrop catalog products before finalising which tools shipped to production.
What's inside
One prompt, one product photo, and a finished ad image out.
A product photo and a plain-English instruction go in, and a styled advertising image comes back staged around that product. A finishing layer then polishes that output, upscaling, sharpening, and adjusting it before it ships.
The results
Before: every new image meant a reshoot. After: a prompt.
Before
How ad images got made.
Every fresh product image meant booking a photographer, staging the product, and shooting for each new background or angle.
AFTER
How they get made now.
A product photo and a prompt now produce a styled ad, across clothing, posters, and scenes.
Production models
Clothing edits, styled posters, and full product-ad scenes
Products validated
Real, live Zendrop catalog products tested end to end
Fashion AI run time
Average time to generate a clothing edit
SDXL-Pixar masking
Automated masking step, no manual upload
Ad-Inpaint run time
Average time to generate a full product-ad scene
Baseline complexity
Every validated product rated at the baseline tier
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Ready to turn product photos into ad images?
30-min call. Bring a product and a prompt, and we'll show what a build looks like.
Frequently asked
It depends on the model. A clothing edit runs in about 13 seconds on average, and a full product-ad scene takes about 37 seconds. The automated masking step on promotional posters adds roughly 5 seconds. These are average run times measured during the build.