Update README.md

README.md

@@ -4,15 +4,18 @@ 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).
+<img src="https://takara.ai/images/logo-24/TakaraAi.svg" width="200" alt="Takara.ai Logo" />
+
+From the Frontier Research Team at **Takara.ai** we present **Flux.1 Q_4_k**, a quantized GGUF model optimized for [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp), enabling efficient image generation on lower-end hardware. This model 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
+- Optimized for lower-end hardware through 4-bit quantization
+- High-quality image generation despite compression
+- Efficient performance with minimal quality degradation
 - Wide-ranging capabilities beyond dark street scenes
 
 ## Usage
@@ -24,21 +27,30 @@ This repository contains a quantized GGUF model optimized for [stable-diffusion.
    # 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.
+3. Run the model using stable-diffusion.cpp, pointing to the downloaded file:
+   ```
+   ./sd -m path/to/flux.1-q_4_k.gguf -p "your prompt here"
+   ```
 
 ## Performance Benefits
 
-- Reduced memory usage
-- Faster inference times
+- Reduced memory usage compared to full-precision models
+- Faster inference times on consumer hardware
 - Runs on less powerful hardware without significant quality loss
+- Ideal for experimentation and rapid prototyping
+
+## Technical Details
 
-## License
+This model is a 4-bit quantized version of the FLUX.1-schnell base model from Black Forest Labs. The quantization process preserves the creative capabilities of the original model while dramatically reducing its memory footprint and computational requirements.
 
-Apache 2.0 (see LICENSE file for details)
+## Example Use Cases
 
-## Acknowledgements
+- Generating urban nightscapes and cityscapes
+- Creating artistic interpretations for creative projects
+- Rapid prototyping of visual concepts
+- Accessible AI image generation on consumer hardware
 
-- [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) creators
-- [Hugging Face](https://huggingface.co/) community
+---
+For research inquiries and press, please reach out to research@takara.ai
 
-For questions or issues, please open an issue in this repository.
+> 人類を変革する