EN (English)ES
Product photos

How to review AI product photos before you publish them

A practical checklist for AI on-model photos: compare color, shape, print scale, texture, hardware, hands and background against your product photo.

ModelPhotoAI6 min read

AI model wearing a navy wrap dress with a large terracotta floral print, generated with Dress Model

An AI on-model photo can look convincing at thumbnail size and still be wrong about the product. A buyer who receives a different shade, a shorter hem or a bag with different hardware has a good reason to send it back. Before you publish, compare every generated image against the original product photo, not against your memory of the product.

Here is a practical checklist. The examples are the four real Dress Model runs shown in the demo on our home page. The inputs are sample product photos created with AI for the demo, and the outputs are unedited. Each run cost 8 credits.

Before you start: put the photos side by side

  • Open the product photo and the generated image at the same size, next to each other, and zoom in for details.
  • Review on the screen most of your customers use (often a phone), and check color on a larger screen too.
  • Check one thing at a time. A single pass looking for “anything wrong” misses small changes.
  • Decide in advance what is a reject: a different color, a missing detail or a changed shape is a product error. A background you don't love is a reason to re-run, not an error.

1. Color

Color is the most common way a photo misrepresents a product, and it is easy to miss because generated images are usually well lit. Compare the main color in a flat, evenly lit area, not in a shadow or a highlight. Then check the secondary colors: trims, stitching, buttons and linings.

Input
Product photo: sage-green long-sleeve linen shirt on a plain light background
Output
Dress Model result: AI model wearing the sage-green linen shirt with the sleeves rolled up and jeans, on a white background
Sage-green linen shirt, Dress Model, 24.8 s. The green, the collar and the button placket match. What changed: the sleeves came out rolled up, and the model, the jeans, the pose and the background are generated.

If the shade drifts, try another run before you reach for an editor. Correcting color by hand across a set of images is slow and tends to leave them inconsistent with each other.

2. Shape, length and construction

Next, check the silhouette: neckline, collar, sleeve length, hem length and shape, closures, pockets and seams. The AI dresses a body, so it may style the garment differently from how you sell it.

  • Sleeves: in the shirt above, long sleeves came out rolled up. That is a styling choice, but if the cuff is a feature you sell, show it unrolled in another photo.
  • Length: compare where the hem falls against the waist, knee or ankle, and give the real length in the listing.
  • Closures: count the buttons, and check the zipper position, ties and wrap direction.

3. Print and pattern scale

Prints are where generated images drift most. The model redraws the print to follow folds and drape, so motifs can move, change size or multiply.

Input
Product photo: navy wrap dress with a large terracotta floral print and short flutter sleeves
Output
Dress Model result: AI model wearing the navy and terracotta floral wrap dress, full length, on a white background
Floral wrap dress, 23.1 s. The navy and terracotta colors, the size of the flowers, the wrap tie and the flutter sleeves carry over. The print is redrawn, though: individual flowers are not in the same places, and the hem edge looks more ruffled than in the product photo.

For prints, compare the motif size against the garment, the spacing between motifs, the background and motif colors, and the position of any placement print (a single large graphic or a logo). If a listing has several photos, make sure the print looks like the same fabric in all of them.

4. Texture and material

Knits, ribbing, denim wash, linen slub, leather grain and sheen tell a buyer what the product feels like. Check that the texture is there, at the right scale, and continuous across the garment.

Input
Product photo: cream crew-neck cable-knit sweater on a plain light background
Output
Dress Model result: AI model wearing the cream cable-knit sweater with jeans, on a white background
Cream cable-knit sweater, 22.6 s. Compare the wide center cable, the narrower cables beside it, the cables on the sleeves and the ribbed neckline, cuffs and hem.

A common failure is texture that fades into a smooth surface in shadows or near seams. Zoom in on the sleeves and the hem, not only on the chest.

5. Hardware, logos and small details

Buckles, clasps, zippers, rivets, embroidery and logos are small in the frame and easy to change. Check their shape, their finish (gold, silver, matte) and their position.

Input
Product photo: tan leather top-handle bag with a gold clasp
Output
Dress Model result: AI model in a cream suit holding the tan leather top-handle bag, on a white background
Tan leather top-handle bag, 22.4 s. The leather color, the top handle and the gold clasp carry over. Look closely at the proportions: the generated bag reads a little wider, and its handle looks rounder.

Treat any text or logo as suspect. If your brand name or a label appears in the image, compare it letter by letter. If it is wrong, re-run or choose a photo where it is not visible.

6. Hands, body and fit

Look at where the product meets the body: a hand holding a bag, a hand in a pocket, a cuff at the wrist, a waistband at the hips. Check the fingers, the grip on handles and straps, and anything that crosses in front of the garment. Fit matters too: an image that makes a garment look tighter or looser than it is sets the wrong expectation about size, so describe the fit in the listing.

7. Background and styling

Finally, look at everything that is not your product. In the four examples, the model, the other clothes (jeans, sandals, the cream suit), the pose and the background are all generated. Make sure nothing in the styling could be mistaken for part of what you sell; if a buyer could think the jeans come with the shirt, say clearly what is included.

Quick checklist

Compare each generated image with the product photo
CheckWhat to compare
ColorMain color in an evenly lit area; trims, stitching and buttons
ShapeNeckline, collar, sleeve and hem length, closures and pockets
Print scaleMotif size, spacing, colors and placement prints
TextureKnit, rib, weave or grain, on the sleeves and hem as well as the chest
Hardware and logosShape, finish and position; any text, letter by letter
Hands and fitGrip, fingers, and how tight or loose the garment looks
BackgroundNothing generated could be mistaken for the product

What to do when an image fails

  • Re-run it. A different run can fix a detail; each Dress Model image costs 8 credits.
  • Improve the input. A flat, evenly lit, front-facing product photo that shows the whole product leaves the AI less to guess.
  • Leave it out. A photo that misrepresents the product does more harm than having one photo fewer.

Try it with your own product photos

New accounts get 100 free credits, no card required: enough for 12 Dress Model images. Email signups verify their email before generating.

All articles