FFRI: Artificial Intelligence and Fashion

AI tool for enhancing and blending historical textile patterns

Research and development of AI technologies applied to textile design and fashion.

Fashion Research Italy Foundation focuses on enhancing Made in Italy in the fashion sector through innovation and research. The project stems from the need to make historical design archives and eco-sustainable materials accessible and usable.

We developed a tool that leverages artificial intelligence to facilitate the creation of new design concepts starting from existing cultural heritage.

The platform allows generating new images from textual prompts, mixing existing patterns to create innovative ones, and searching content in historical archives.

The tool includes style transfer functionality that allows applying visual characteristics of one pattern to another design, creating creative variations while maintaining stylistic coherence.

The solution offers designers and researchers an experimental environment that enhances historical heritage while facilitating innovation in the textile sector.

Because Made in Italy deserves a future worthy of its past.

Frontend developed with Next.js + TypeScript + Tailwind for responsive and performant interface. Style transfer implemented with TensorFlow.js using pre-trained models for client-side processing.

Integration of OpenAI DALL-E API for text-to-image generation, Python + SOAP backend for interfacing with FFRI legacy archives.

Optimizations for high-resolution image management, intelligent cache for frequently used patterns, preprocessing pipeline for reduced processing times and browser memory management.

Frontend developed with Next.js + TypeScript + Tailwind for responsive and performant interface. Style transfer implemented with TensorFlow.js using pre-trained models for client-side processing.

Integration of OpenAI DALL-E API for text-to-image generation, Python + SOAP backend for interfacing with FFRI legacy archives.

Optimizations for high-resolution image management, intelligent cache for frequently used patterns, preprocessing pipeline for reduced processing times and browser memory management.

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