---
license: apache-2.0
base_model:
- black-forest-labs/FLUX.1-schnell
pipeline_tag: text-to-image
---
# Flux.1 Q_4_k

This repository contains a quantized GGUF model optimized for [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp), enabling efficient image generation on lower-end hardware. It was used to create the [Kurai Toori Dark Streets dataset](https://huggingface.co/datasets/takara-ai/kurai_toori_dark_streets).

## 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](https://github.com/leejet/stable-diffusion.cpp) creators
- [Hugging Face](https://huggingface.co/) community

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