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tstramer/material-diffusion

A specialized text-to-image model focusing exclusively on generating high-quality material and texture samples for use in 3D modeling, game development, and design applications. Material-Diffusion was specifically trained on diverse material datasets to excel at producing seamless, tileable textures with physically accurate properties including surface detail, reflectivity, and micro-structure. The model understands specialized material terminology and can generate corresponding normal maps, roughness maps, and other material properties, making it particularly valuable for 3D artists and designers requiring realistic material assets.

Technical Specifications:

  • Architecture: Diffusion model with material specialization
  • Training Focus: Diverse material and texture datasets
  • Output Types: Color, normal, roughness, metallic, and height maps
  • Tileability: Optimized for seamless tileable outputs
  • Material Understanding: Specialized vocabulary for material properties
  • Resolution: Up to 1024x1024 for detailed texture rendering
  • Applications: 3D modeling, game development, architectural visualization


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