built for modern fashion teams
Use flat-lays, mannequin shots, or existing product images to create cleaner fashion content faster.

Built to reduce production friction and increase creative output from the assets you already have
Less production overhead
Faster creative iteration
More content coverage
Faster launch speed
Workflow Modes


How It Works
Upload the source image, choose the direction, and export assets that are easier to ship.
Drag and drop your product photos - flat-lays, mannequin shots, or existing on-model images.
Choose a model direction and background style that fits the collection, channel, and campaign mood.
Get photorealistic on-model imagery in minutes. Ready for your website, ads, and social media.
Model Library
Explore different faces, moods, and styling directions to match your product and brand world.
Priya
Ethnic & Contemporary
Arjun
Casual & Formal
Meera
Traditional & Fusion
Ananya
Premium & Editorial
Rohan
Athletic & Lifestyle
Transformation
Use the slider to see how raw product photography can be reshaped into cleaner, more usable visual output.


Drag to compare · Auto-plays
Source
Existing product photo
Style
Model and art direction
Output
Launch-ready asset
FAQ
The key questions a brand team will ask before trying the workflow.
Still have questions?
Contact our teamThe goal is clean, believable fashion imagery that works for catalog, social, and campaign testing. Results depend on the source image, garment complexity, and the look you are trying to create.
You can upload flat-lay images, mannequin shots, ghost mannequin photos, or existing on-model images. We support PNG, JPG, and WebP formats up to 10MB per file. For best results, use high-resolution images with clean backgrounds.
Generation time varies by job size and queue load, but the product is designed to get you from source photo to usable output much faster than organizing a traditional shoot.
That is the intended use case, but your final legal terms should define exactly how generated assets can be used across storefronts, marketplaces, and ads.
Yes, that is a core direction for the product. The page should position Modaic around ethnic wear, western styles, and mixed catalogs without overpromising perfect results for every garment type.
The safer promise is iteration: adjust the model choice, background, or input image and generate a stronger variation instead of positioning every first pass as final.