Magazine cover and model portrait Formats for beauty sellers
Two Sume Formats make 9:16 beauty images from a packshot: a magazine-cover campaign and a model product portrait. When each helps and what to verify.

Two first-party Sume Formats make editorial-style 9:16 beauty images from an attached packshot: sume-magazine-cover-campaign and sume-model-product-portrait. The first leaves clean negative space for a masthead and the second shows a model holding the product beside her cheek. Both are image-only and, per their definitions, generate with ChatGPT Image 2.
The two looks
These descriptions come from the first-party Format definitions in the repository. They show the style the Format aims for, not a promise about every product.
| Format slug | Look | Output |
|---|---|---|
| sume-magazine-cover-campaign | Bold close portrait, featured product, negative space for a masthead, dramatic red styling | 9:16 image |
| sume-model-product-portrait | Model holding the product beside her cheek, natural skin texture, soft window light | 9:16 image |
When to use which
The cover look suits a campaign hero or a story frame where you add your own title text later. The portrait suits a product page's lifestyle slot or a social post that needs a person next to the item.
Both include a synthetic person. TikTok Shop's AI content policy asks for disclosure of AI-generated content in the U.S. from September 2, 2026, and Amazon has its own rules for AI-generated people, so mark and place these images with care. Prefer them in ads and secondary images where the platform allows them.
- Use a clean, front-facing packshot as the input.
- Compare product shape and label to the real item before use.
- Add the masthead text outside the model so spelling is yours.
Limits
A generated person is not a customer and not a testimonial, so do not use these images to imply a real endorsement. Skin texture and hands are common places for generated images to look wrong, so look at the whole frame at full size. Each run is billed at the Format's price, and the catalog and bulk-run docs describe spend caps.
Sources
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