Piacenza 1733
For Piacenza Cashmere, we developed a proprietary AI + 3D production workflow to redefine B2B presentation. The system integrates generative modeling, fabric reconstruction, and light simulation a research-level approach that brings textile excellence into a new digital dimension.
From generative fashion imagery to 3D textile mapping
Challenge
Reproducing the tactile quality of cashmere in a digital medium is one of the hardest visual challenges. Each fiber, fold, and light reflection defines the perception of luxury. The goal was to achieve the same emotional impact and realism of a physical shoot, but through a generative process that could be scaled across collections and textures.
Building a new digital system for Textile
We engineered a bespoke production pipeline that combines generative AI, 3D material design, and procedural lighting control. The process began with custom-trained generative models, developed on Midjourney and proprietary datasets aligned with Piacenza’s brand identity. These models generated neutral, high-contrast base garments designed to act as canvases for fabric simulation.
Using physically based rendering techniques, we reconstructed the cashmere textures in 3D and applied them via AI-driven masking systems that ensured perfect alignment with garment geometry. Complementary models then simulated lighting and shadow behaviors to reproduce the complex optical response of real textiles.
A New Standard for Digital Fabric Visualization
The resulting B2B lookbook delivers unprecedented visual accuracy and production efficiency. Each render preserves the tactile identity of Piacenza’s fabrics — the density, softness, and light diffusion — within a fully digital, scalable ecosystem. The process reduced time-to-market while opening new possibilities for virtual sampling, collection previews, and remote brand experiences.
Applied Innovation for the Future of Textile Design
This project represents a frontier in digital craftsmanship where research, design, and AI engineering converge. By building an adaptive visual system capable of learning material behavior, Piacenza Cashmere positions itself at the intersection of heritage and technological innovation. The result is not just a new way to visualize fabric, but a foundational step toward the future of digital textile R&D.
Talk to our specialist
We’ll walk you through real workflows, relevant case studies, and sample outputs tailored to your category, then wrap with a Q&A to align on goals and next steps.