AI model-wearing imagery for supported product categories

Model-wearing imagery adds human context for categories supported by the live server catalog. It is not a size-accurate virtual try-on or a substitute for real fit validation.

AI model-wearing product image example — Zaelume in-product demonstration: a wearing-context output that requires product and human-detail review.

Best suited to

Wearing context for supported jewelry categories
Apparel presentation where the live catalog exposes the use case
Early visual direction before a production shoot

Workflow

Upload a clear product image you are allowed to use.
Choose an available category, this commercial use and an available ratio.
Let the Zaelume server assemble the request and route the generation task.
Compare the result with the real product before listing, advertising or publishing.

What to review

Check scale, placement, clasps, garment construction, anatomy, skin, hair and every visual detail. Never treat the result as evidence of size or fit.

Official references

Frequently asked questions

Do I choose the underlying image model?

No. Prompt assembly, model routing and provider selection are controlled by the Zaelume server.

Can the result be published without review?

No. Product, text, people, rights and channel rules must be reviewed by a person before use.