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---
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license: apache-2.0
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---
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# Kurai Toori Dark Streets - Quantized Model
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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.
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## Model Details
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- **Format**: GGUF (GPT-Generated Unified Format)
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- **Use Case**: Generating high-quality images with lower hardware requirements
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- **Compatibility**: Designed for use with stable-diffusion.cpp
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## Key Features
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- Optimized for lower-end hardware
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- Capable of producing high-quality images
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- Specifically used to generate the Kurai Toori Dark Streets dataset
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- Efficient performance due to quantization
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## Usage
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To use this model with stable-diffusion.cpp:
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1. Clone the stable-diffusion.cpp repository:
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```
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git clone https://github.com/leejet/stable-diffusion.cpp.git
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cd stable-diffusion.cpp
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```
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2. Follow the setup instructions in the stable-diffusion.cpp README.
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3. Download the GGUF model file from this repository.
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4. Run the model using the stable-diffusion.cpp interface, pointing to the downloaded GGUF file.
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## Dataset Generation
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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).
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## Performance
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Due to its quantized nature, this model offers:
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- Reduced memory usage
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- Faster inference times
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- Ability to run on less powerful hardware without significant quality loss
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## License
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This model is released under the Apache 2.0 license. Please see the LICENSE file for more details.
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## Acknowledgements
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- Thanks to the creators of stable-diffusion.cpp for providing an efficient C++ implementation of Stable Diffusion.
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- Credit to the Hugging Face community for hosting the dataset and fostering open-source AI development.
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For any questions or issues, please open an issue in this repository.
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