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--- |
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license: apache-2.0 |
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base_model: |
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- black-forest-labs/FLUX.1-schnell |
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pipeline_tag: text-to-image |
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--- |
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# Flux.1 Q_4_k |
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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). |
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## Features |
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- Optimized for lower-end hardware |
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- High-quality image generation |
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- Efficient performance through quantization |
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- Wide-ranging capabilities beyond dark street scenes |
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## Usage |
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1. Clone and set up stable-diffusion.cpp: |
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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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# Follow setup instructions in the stable-diffusion.cpp README |
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``` |
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2. Download the GGUF model file from this repository. |
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3. Run the model using stable-diffusion.cpp, pointing to the downloaded file. |
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## Performance Benefits |
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- Reduced memory usage |
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- Faster inference times |
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- Runs on less powerful hardware without significant quality loss |
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## License |
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Apache 2.0 (see LICENSE file for details) |
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## Acknowledgements |
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- [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) creators |
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- [Hugging Face](https://huggingface.co/) community |
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For questions or issues, please open an issue in this repository. |
