Update README.md

README.md

@@ -1,58 +1,44 @@
----
-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.
-
+---
+license: apache-2.0
+base_model:
+- black-forest-labs/FLUX.1-schnell
+pipeline_tag: text-to-image
+---
+# Flux.1 Q_4_k
+
+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).
+
+## Features
+
+- Optimized for lower-end hardware
+- High-quality image generation
+- Efficient performance through quantization
+- Wide-ranging capabilities beyond dark street scenes
+
+## Usage
+
+1. Clone and set up stable-diffusion.cpp:
+   ```
+   git clone https://github.com/leejet/stable-diffusion.cpp.git
+   cd stable-diffusion.cpp
+   # Follow setup instructions in the stable-diffusion.cpp README
+   ```
+2. Download the GGUF model file from this repository.
+3. Run the model using stable-diffusion.cpp, pointing to the downloaded file.
+
+## Performance Benefits
+
+- Reduced memory usage
+- Faster inference times
+- Runs on less powerful hardware without significant quality loss
+
+## License
+
+Apache 2.0 (see LICENSE file for details)
+
+## Acknowledgements
+
+- [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) creators
+- [Hugging Face](https://huggingface.co/) community
+
+For questions or issues, please open an issue in this repository.