Beauty, home, tech, food, and mixed catalogs
One AI image workflow for beauty, home, tech, food, and mixed-product catalogs
Modelize is not limited to fashion. It works well for brands that need multiple image styles across several categories, whether that means beauty packshots, furniture room scenes, clean tech renders, food hero shots, or lightweight marketing assets for launches and promos.
Product mode or marketing mode
depending on whether you need PDP media or campaign assets
5 x 5 = 25
the same batch math applies across mixed catalogs

Batch math
Select five products and five presets and you get 25 generated images. That might mean five clean PDP looks per product, or a mix of product and marketing directions split into separate batches.
For mixed catalogs, start with two or three presets per category before you scale. Beauty and tech may need a different preset mix than furniture or food.
Select sources
Choose products, variants, or uploaded source images depending on the workflow.
Choose presets
Combine multiple presets on the same batch to create multiple outputs per product.
Review results
Keep the preset mix that works, then repeat it on the rest of the collection.
Workflow
How this use case works inside Modelize
Choose the right image mode first
Use product mode when you need product-page media. Use marketing mode when you want banners, hero images, social posts, email headers, or collection cover assets.
Match presets to the category, not just the product
A furniture item often benefits from room-setting or isolation presets, while a beauty item usually performs better with a cleaner, more controlled setup. Start with the category-native presets first.
Test a small matrix before scaling
Run a few products through two or three presets. Once one combination looks right for that category, reuse it as your default batch recipe.
Split product and campaign output when needed
If you want clean PDP media and promotional assets, run separate batches for each goal. That keeps the preset selection more focused and the results easier to review.
Preset picks
Recommended presets to start with
These are the fastest presets to validate first before you build a larger recurring batch structure.

Beauty
Beauty — Clean
Best for premium skincare, cosmetics, and packshots that need a controlled clean background.

Tech
Tech — Clean
Useful for electronics and accessories where precision and product clarity matter most.

Home
Furniture — Room Setting
Adds room context for larger home products and gives shoppers a stronger sense of scale.

Food
Food — Hero Shot
Good for appetite-driven visuals, launch tiles, and product-led marketing content.
Best for
Beauty and skincare brands
Home and furniture catalogs
Consumer electronics
Food and beverage launches
Practical tips
Use studio-style presets for conversion-focused product pages and switch to marketing presets for launch campaigns, email headers, or paid creative.
Do not force one preset strategy across every category. Beauty, food, furniture, and tech usually need different baselines.
Once you find a preset mix that works for a category, reuse it across the full catalog refresh to save time.
Use one app across multiple catalog types
Modelize works best here when you think in category-specific recipes. Define a small preset stack for each product family, then repeat that workflow at scale instead of reinventing the setup for every launch.