Consistent Model Across a Catalogue

How it works

1. 1. Create the model once

   Generate identity plates that later work conditions on.

2. 2. Reuse rather than regenerate

   Every product should condition on the same references instead of a fresh description.

3. 3. Check for drift

   Compare faces across the range periodically. Sign up for clean full-resolution files.

Why this is worth getting right

The failure mode that most clearly marks a generated catalogue as generated is identity drift: the same described model rendering as a slightly different person on each product, so a shopper scrolling a collection sees a face that shifts subtly from item to item. It is unsettling in a way most viewers cannot name, and it undermines the impression of a real brand more than any single imperfect image would. The cause is regenerating from a description rather than conditioning on references. A text description, however detailed, leaves enormous latitude, and each generation exercises that latitude differently. Identity plates fix it by giving every subsequent generation the same visual anchor — a set of canonical views the model is built from rather than described into. That is why creating a model once and reusing it is not merely convenient but structurally necessary. Drift still creeps in over long ranges, particularly when poses and lighting vary widely, so periodically comparing faces across a catalogue is worth doing as a quality check rather than assuming consistency holds. The commercial argument is the same one that governs any catalogue: consistency is what makes a collection read as deliberate. A real shoot produces consistency for free because it is the same person in the same room; a generated catalogue has to engineer it, and the engineering is identity references used properly.

Tips that actually help

• Condition on identity plates rather than regenerating from a description, because descriptions leave latitude that each generation exercises differently.
• Create the model once and reuse it, since that is structurally necessary rather than merely convenient.
• Compare faces across the range periodically, as drift creeps in over long catalogues and varied lighting.
• Keep pose and lighting variation within a reasonable band, because extremes make drift more likely.
• Treat consistency as a quality check rather than an assumption, since a real shoot gets it free and a generated one does not.

Who uses this

Full-catalogue generation

Ranges where every product uses the same model and drift would be visible across the grid.

Seasonal continuity

Brands wanting the same face across drops so the catalogue feels continuous.

Multi-channel imagery

The same model appearing on site, marketplace and social without looking like different people.

Small brands

Businesses that could never book the same model repeatedly across a year.

Veelgestelde vragen

What is identity drift?

The same described model rendering as a subtly different person on each product. Viewers find it unsettling without being able to name why.

What causes it?

Regenerating from a text description. Descriptions leave latitude, and each generation exercises that latitude differently.

How is it prevented?

By conditioning on identity reference plates rather than a description, so every generation shares the same visual anchor.

Does drift still happen with references?

It can creep in over long ranges with widely varied poses and lighting, which is why periodic comparison is worth doing.

Why does consistency matter commercially?

It is what makes a collection read as deliberate. A real shoot gets consistency free; a generated catalogue has to engineer it.

Can I use several models and stay consistent?

Yes, provided each has its own identity plates and is used deliberately rather than at random across products.

How often should I check?

Whenever a range grows substantially, and before publishing a collection page where many products appear together.

Is the free generation really free?

Yes. One per day, watermarked and capped at 1024px. Signing up gives you 20 credits and clean full-resolution files with full commercial rights.

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