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On-Model
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Botika.io
The New Black
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On-Model is an AI-powered fashion photography platform that helps e-commerce brands produce professional product imagery without traditional photoshoots. Built by PiktID, the platform is trusted by leading fashion companies for production-grade catalog imagery at scale.
Two core solutions: Flat-to-Model transforms flat-lay, mannequin, or hanger product photography into realistic on-model images. Upload a single product shot and generate multiple variations with different poses, backgrounds, and styles. Choose from built-in presets for PDP, editorial, lifestyle, and social media โ or create fully custom instructions to match your brand's visual language.
Model Swap replaces the model in existing product detail page (PDP) images while preserving every garment detail โ stitching, patterns, textures, and fit. Swap to any AI identity in minutes, maintaining the original pose, lighting, and composition. Perfect for diversifying your catalog or refreshing imagery without reshooting.
What sets On-Model apart: - Garment preservation โ Proprietary technology ensures pixel-perfect accuracy. Your products always look exactly as they should. - Identity management โ 50+ diverse AI model identities across ages, genders, ethnicities, and body types (XSโXL). Upload your own brand model for consistent identity across your entire catalog. - Scale โ Batch processing handles entire product catalogs. Process hundreds of images per job with consistent quality. - API access โ Full REST API for integrating AI photography into existing workflows, PIM systems, or custom pipelines. - 4K output โ Production-ready resolution for web, print, and advertising.
Built by PiktID โ the team behind EraseID, used by 300,000+ people for AI-powered face anonymization, face swap, and image processing โ On-Model brings that deep expertise to fashion e-commerce. From single product shots to multi-channel campaigns across PDP, social, editorial, and lookbook formats.
Coding Assignment Help On-ModelOn-Model's answer:
AI/ML for image generation, React for the web application, Flask for the backend API
On-Model's answer:
Zalando KiK Bauhaus
On-Model's answer:
On-Model is the only AI fashion photography platform with true garment preservation โ proprietary technology that ensures every stitch, pattern, and texture remains pixel-perfect when swapping models or generating on-model imagery from flat-lays. Combined with persistent identity management (50+ diverse AI models, plus custom uploads), brands can maintain a consistent look across their entire catalog without reshooting a single product.
On-Model's answer:
Most competitors either alter the garments during model swap, lack identity consistency across generations, or offer no self-serve platform. On-Model preserves garments exactly, lets you save and reuse AI model identities, supports batch processing for high-volume catalogs, and provides a full REST API for workflow automation โ all starting with a free tier of 15 images per month. It's built by PiktID, the team behind Studio and EraseID (300,000+ users), so the underlying AI is battle-tested.
On-Model's answer:
Fashion e-commerce brands, retailers, and product photography studios that need to produce large volumes of on-model product imagery efficiently.
This ranges from mid-market brands scaling from 10 to 10,000 SKUs, to enterprise retailers like Zalando and ASOS managing massive catalogs across multiple markets and model identities.
On-Model's answer:
On-Model grew out of PiktID's Studio platform, which built AI image processing tools used by 300,000+ people for face anonymization, face swap, and expression editing. Working with fashion e-commerce clients, we saw that the biggest pain point wasn't faces โ it was the cost and time of product photography. Brands were spending weeks and thousands of euros per photoshoot. So we built On-Model: a dedicated platform that transforms flat-lay product photos into on-model imagery and swaps models in existing shots, while preserving every garment detail. Today it's trusted by leading fashion brands.
My programming assignment, in general, is good, I got 81 out of 100, and I was planning to get more, but it is still I still want to work with your team, and looking forward to receiving good work from a great team. I received some notes about the PPT that it was very basic, but overall, I would really thank you for the quick response and actions from your side in a perfect timeline :)