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---
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.
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