Compare AI Fashion Images Side by Side

Generating the images is only half the job. Before a single shot reaches a product page, someone has to look at every output and answer two questions: did the garment survive, and does the model stay consistent across the set? Do that across a batch of PDPs and SKUs, output by output, and review becomes the real bottleneck.

On-Model's results viewer was rebuilt to make that review fast. Open any job and you get one viewer with four ways to look at your images, so you can confirm fidelity and pick the keepers without leaving the page.

One viewer, four ways to look

Every job opens in the same full-screen viewer. Depending on the job type, you get up to four comparison modes, each suited to a different question.

Single view

One selected output, shown large. This is where you scan the set, zoom into a seam or a print, and mark the variations worth keeping. Available for every job type.

Wiper

Two images overlaid with a slider you drag across the frame. The input sits on one side, the output on the other, so you can sweep back and forth over the exact region you changed. It is the fastest way to confirm a localized edit landed, such as a model swap or a detail repair, without losing your place.

Here a model swap drops a new face and figure into the same white tee. Drag the divider across and the garment stays put while the model changes beneath it.

A/B

Like the wiper, but instead of a moving seam you flip the whole frame between input and output. The toggle switches the view between Original and Edited, so you can judge each version full-size on its own before deciding, rather than reading them through a slider.

Side-by-side

The new one. Drag and drop any two images into two panes and compare them directly. The pair is entirely up to you: two outputs, two inputs, or a mix of input, output and reference. This is the mode for the fidelity questions that matter most in fashion.

Here a detail repair on a pair of glasses: one pane holds the result, the other zooms into the branding on the temple to confirm the logo rebuilt cleanly. Each pane zooms on its own, so you can push into the exact region that matters and leave the other side put.

The same mode answers the other half of the question: model consistency. Drop two outputs from the same identity next to each other and check the face, build and styling hold across poses and angles before any of them ship.

Compare anything against anything

The comparison is only as useful as what you can pull into it. The viewer keeps your full job within reach:

• Outputs in a strip you can step through, with version history per image so you can compare a regeneration against the take it replaced.
• Inputs alongside them, so the result is always one drag away from the source it came from.
• References where the job used them, such as the reference images behind a detail repair or the identity behind a model swap.

And you can zoom into any of it. Push into a fabric weave, a stitch line or a print, on either side, and the comparison holds together rather than breaking apart.

Why it matters for e-commerce

Modern catalog work is batch work. You are rarely looking at one image; you are looking at a set of ecommerce product images destined for a row of PDPs, and every one has to be right. Being able to visualize that batch, step through outputs, and compare them against inputs and references is how you keep quality up as volume grows.

Because the viewer lives inside On-Model, review happens right next to generation. You spot a weak output, regenerate it, and compare the new version against the old one without exporting anything or opening a second tool.

Try it

Run any job in the On-Model app and open the results to compare your outputs side by side. A few good places to start:

• Model Swap — swap the model, keep the garment, then check fidelity in the wiper.
• Detail Repair — fix a logo or a localized region and confirm it in A/B.
• Batch Processing — run a full set of SKUs and review them in one place.