Texture Diffusion
| Property | Value |
|---|---|
| License | OpenRAIL++ |
| Base Model | Stable Diffusion 2 Base |
| Training Resolution | 512x512 |
| Dataset Size | 278 CC0 textures |
What is texture-diffusion?
Texture Diffusion is a specialized DreamBooth model specifically fine-tuned for generating high-quality diffuse textures. Built on Stable Diffusion 2, this model excels at producing flat textures with minimal lighting and shadow artifacts, making it ideal for 3D modeling and game development applications.
Implementation Details
The model was trained using precise parameters including a prior loss weight of 1.0, batch size of 1, and learning rate of 1e-6. Training was conducted on a Tesla T4 GPU for 4000 steps using FP16 precision. The model leverages the 'pbr' token to invoke its specialized texture generation capabilities.
- Integration with 🧨 diffusers library for easy implementation
- Compatible with Dream Textures Blender add-on
- Trained on carefully curated PolyHaven textures
Core Capabilities
- Generation of clean, flat textures without lighting artifacts
- Specialized in various texture types (stone, marble, dirt, etc.)
- Seamless integration with 3D modeling workflows
- Support for custom prompt-based texture generation
Frequently Asked Questions
Q: What makes this model unique?
This model's uniqueness lies in its specialized ability to generate clean, lighting-neutral textures, making it particularly valuable for 3D artists and game developers who need base textures without baked lighting.
Q: What are the recommended use cases?
The model is ideal for creating PBR textures for 3D modeling, game development, architectural visualization, and any application requiring high-quality, lighting-neutral texture maps.
