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README.md

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 license: apache-2.0
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+# 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.
+