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CASE STUDY

Glass – Generative AI for Artistic Glass Designs

We developed a generative AI pipeline that accelerates the creation of unique stained-glass and artistic glass patterns, enabling architects, designers, and decorators to explore thousands of possibilities with ease.

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Industry

Architecture & Interior Design

Deployment

Generative AI web platform

Scope

Stained-glass and artistic pattern creation

Core KPI

Faster, scalable design generation at lower cost

Overview

Designing stained-glass and artistic glass pieces has traditionally been a manual, time-intensive process requiring highly skilled specialists. This approach limits scalability, increases costs, and slows down delivery.


Glass was created to combine human creativity with AI-powered generative design, giving clients and designers the ability to instantly explore thousands of custom artistic patterns.

The Challenge

  • Manual design process slowed down creation.

  • Dependence on specialists increased production costs.

  • Limited scalability for architecture and interior design projects.

  • Clients lacked fast access to customized, high-quality glass patterns.

Our Solution

We built a generative AI pipeline for artistic glass creation:

  • AI-powered design generation – models of diffusion and LoRA trained on stained-glass datasets.

  • Customizable web tool – clients can generate, edit, and personalize exclusive patterns.

  • Optimized pipeline – integration of curated artistic datasets with high-quality rendering.

Business Benefits

  • Faster creation – drastically reduces time to generate new patterns.
  • Lower costs – reduces dependency on manual design work.
  • Scalable production – makes it easy to deliver many unique designs.
  • Creative differentiation – democratizes artistic design with innovative AI technology.

How It Works

Dataset preparation

Curated artistic stained-glass collections.

Model training

Diffusion + LoRA/ControlNet to learn design patterns.

Pattern generation

AI produces realistic, customizable stained-glass designs.

User interaction

Web tool for selecting, refining, and exporting designs.

Technical Highlights

  • Generative AI models trained to mimic stained-glass artistry.

  • Web-based interface for accessible design creation.

  • High-resolution rendering for architectural visualization.

  • Customizable parameters for unique, client-driven outcomes.

Key Results

Proof of Concept successfully completed.

Demonstrated ability to generate thousands of unique stained-glass patterns.

Validated use cases in architecture, interior design, and decorative arts.

Ready to expand into a commercial platform for end-users.

See It in Action

  • Generative AI pipeline for stained-glass patterns.
  • LoRA/ControlNet fine-tuning for realism and variety.
  • Web platform for easy generation and customization.
  • High-quality rendering outputs for architectural use.

Unlock Creativity with AI-Generated Artistic Glass

Explore how generative AI can transform the way stained-glass and decorative patterns are designed and produced.

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