---
license: apache-2.0
---
# Kurai Toori Dark Streets - Quantized Model

This repository contains a quantized model used to synthetically generate the [Kurai Toori Dark Streets dataset](https://huggingface.co/datasets/takara-ai/kurai_toori_dark_streets). The model is optimized for use with [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) for efficient running on lower-end hardware.

## Model Details

- **Format**: GGUF (GPT-Generated Unified Format)
- **Use Case**: Generating high-quality images with lower hardware requirements
- **Compatibility**: Designed for use with stable-diffusion.cpp

## Key Features

- Optimized for lower-end hardware
- Capable of producing high-quality images
- Specifically used to generate the Kurai Toori Dark Streets dataset
- Efficient performance due to quantization

## Usage

To use this model with stable-diffusion.cpp:

1. Clone the stable-diffusion.cpp repository:
   ```
   git clone https://github.com/leejet/stable-diffusion.cpp.git
   cd stable-diffusion.cpp
   ```

2. Follow the setup instructions in the stable-diffusion.cpp README.

3. Download the GGUF model file from this repository.

4. Run the model using the stable-diffusion.cpp interface, pointing to the downloaded GGUF file.

## Dataset Generation

This model was used to create the Kurai Toori Dark Streets dataset, which features synthetically generated high-quality images. While the dataset focuses on dark and atmospheric street scenes, the model itself is capable of generating a wide range of high-quality images. The dataset can be found [here](https://huggingface.co/datasets/takara-ai/kurai_toori_dark_streets).

## Performance

Due to its quantized nature, this model offers:
- Reduced memory usage
- Faster inference times
- Ability to run on less powerful hardware without significant quality loss

## License

This model is released under the Apache 2.0 license. Please see the LICENSE file for more details.

## Acknowledgements

- Thanks to the creators of stable-diffusion.cpp for providing an efficient C++ implementation of Stable Diffusion.
- Credit to the Hugging Face community for hosting the dataset and fostering open-source AI development.

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