Ideogram for ecommerce

More from every product photo.

Create colorways, update product details and adapt campaigns from photography you already have. Ask for one change and keep working from the photo you approved.

OriginalOriginal studio photo: model in a blue tee and wide-leg jeans on white
Studio photo from our Colorways page.
ResultThe same photo after eight requested edits: light indigo jeans, grey tee, black shoes, a light grey studio backdrop and a product caption
Eight requested edits: new wash, top, shoes, backdrop and caption.
Examples

From product photo to campaign.

Our approach: AI for production work, such as stones, colors you sell, labels, copy, languages, settings and formats. Never to show a result a product doesn’t deliver.

Change one detail. Keep the photo you approved.

Ask for a new stone and the stone changes. The surrounding skin, hair, chain and fabric remain consistent in this example.

Input
Necklace photo, emerald pendant
Requested
Change only the stone to a sapphire
Result
New stone in the photo you approved

More assets from the photography you already approved: every stone, color and label you sell, without a reshoot.

Fragrance campaign shot with a broken letter in the VELLINE wordmark
Input
Packshot of the VELLINE bottle used as the reference
Reference packshot
The same campaign shot with VELLINE printed cleanly
Result
Serum bottle with the wrong label and a stray mark
Input
Studio packshot of the correct Halden Vitamin C Serum label
Reference packshot
The same bottle relabeled Halden Vitamin C Serum with clean small type
Result

Fix a garbled label or wordmark against your approved packshot.

Ideogram 4.5, after edit 8
Ideogram 4.5, face close-up after edit 8
Ideogram 4.5
GPT Image 2.5, after edit 8
GPT Image 2.5, face close-up after edit 8
GPT Image 2.5
Nano Banana Pro, after edit 8
Nano Banana Pro, face close-up after edit 8
Nano Banana Pro

The same eight requests in each model, one after another. Watch the face.

About these examples
  • These are prepared examples, made on Oct 29, 2026; model comparisons identify the model used. Nothing is generated live on this page; the text in the campaign example is editable in your browser.
  • The necklace and model are Ideogram concepts. The studio photos and the label examples (concept brands) come from upi.groupbuyservices.com.
  • Model comparisons used one take per model and the same wording, no masks. “Changed” counts pixels where any color channel moved by more than 12 of 255, after resizing each output to the original size. Face change is the average difference across the eyes, nose and mouth (0–255). These describe how much else moved in these examples; check every result against your approved product before use.
  • In the eight-edit comparison, edit 5 was reworded for all three models (“no blue left”) after Ideogram kept the jeans blue in five takes of the first wording; every other edit used one take per model.
  • In the denim examples, the face, top and background measured pixel-identical to the original. The sneaker workflow was made entirely with Ideogram; the lifestyle image uses the studio photo as the product reference.
  • The necklace photo was generated with GPT Image 2.5 as a neutral starting point. Every edit shown on it was made with the model named.
  • Campaign translations would need a native-speaker review before use.
“With Ideogram, our creative teams can move faster from idea to visualization to refinement, so we iterate quicker, sample smarter, cut rework and waste, and give people more time for the parts of the job they actually love.”

Colton Greenberg

VP of AI Innovation, Skechers

Read the full case study

Teams atAdobeSkechersGammaWixPrintifyCanvawork with Ideogram.

Why Ideogram

Our own models, and the people who build them.

Controlled revisions

Ask for one change and keep working from the photo you approved, so edits stack and there’s less to recheck. See the jewelry example.

We build our own image models

Because we train and run them ourselves, our researchers can tune them for your products and fix the details that matter to your team.

Outputs your team can keep editing

Text comes back as layers, so a new offer or language doesn’t mean starting over.

Direct access to our AI engineers and researchers

For enterprise teams, they can train a custom branded model on your imagery or build a workflow around your production needs.

Precise edits, text layers and our models are available today in the Ideogram app, API and MCP. Custom models and tailored workflows are scoped with your team. Founded by former Google Brain researchers; our CEO, Mohammad Norouzi, led Imagen.

Next step

Bring us your product images.

Tell us which assets you need. We’ll talk through your products with you and recommend the right approach, whether that’s the app, the API or a custom model.

Talk to our team

SOC 2 audited · SSO via Microsoft and Google · Enterprise inputs aren’t used to train our shared models · DPA available · Security details

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