takara-ai/Flux1-Schnell-Quantized

Flux.1 Q_4_k

This repository contains a quantized GGUF model optimized for stable-diffusion.cpp, enabling efficient image generation on lower-end hardware. It was used to create the Kurai Toori Dark Streets dataset.

Features

• Optimized for lower-end hardware
• High-quality image generation
• Efficient performance through quantization
• Wide-ranging capabilities beyond dark street scenes

Usage

1. Clone and set up stable-diffusion.cpp:

   git clone https://github.com/leejet/stable-diffusion.cpp.git
   cd stable-diffusion.cpp
   # Follow setup instructions in the stable-diffusion.cpp README
   

2. Download the GGUF model file from this repository.
3. Run the model using stable-diffusion.cpp, pointing to the downloaded file.

Performance Benefits

• Reduced memory usage
• Faster inference times
• Runs on less powerful hardware without significant quality loss

License

Apache 2.0 (see LICENSE file for details)

Acknowledgements

• stable-diffusion.cpp creators
• Hugging Face community

For questions or issues, please open an issue in this repository.