Stable Diffusion 3.5 Medium GGUF
| Property | Value |
|---|---|
| Parameter Count | 695M |
| License | stabilityai-ai-community |
| Author | Second State Inc. |
| Model Type | Text-to-Image Generation |
What is stable-diffusion-3.5-medium-GGUF?
This is a highly optimized GGUF version of Stability AI's Stable Diffusion 3.5 Medium model, specifically quantized for efficient deployment. It offers multiple quantization levels from 4-bit to 16-bit precision, allowing users to balance between model size and generation quality.
Implementation Details
The model comes in various quantized formats, including Q4_0 through Q8_0, and full F16 precision. The implementation includes separate GGUF files for CLIP (both large and general versions), the core SD3.5 medium model, and T5XXL components.
- Multiple quantization options ranging from 4-bit to 16-bit precision
- Modular architecture with separate CLIP, core SD, and T5XXL components
- File sizes ranging from 69.4MB (CLIP-L Q4_0) to 9.79GB (T5XXL FP16)
Core Capabilities
- High-quality text-to-image generation
- Efficient memory usage through quantization
- Flexible deployment options for different hardware configurations
- Maintained image quality even with reduced precision
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its extensive quantization options, allowing deployment across various hardware configurations while maintaining generation quality. The GGUF format ensures efficient inference and reduced memory footprint.
Q: What are the recommended use cases?
The model is ideal for production environments where resource efficiency is crucial. Different quantization levels allow for deployment on everything from resource-constrained edge devices (using Q4_0) to high-performance servers (using F16 precision).
