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README.md

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+# StyleGAN K-Girl Image Generation
+
+## Overview
+This project involves training a **StyleGAN** model to generate high-quality images of K-girls (Korean-style female faces). The dataset is curated to capture the distinct aesthetic features common in K-girl images, and StyleGAN is used to create photorealistic outputs.
+
+## Dataset
+- The dataset consists of high-resolution images of K-girls.
+- Images are preprocessed and resized to fit StyleGAN's input requirements.
+- Data augmentation techniques such as flipping and color adjustments are applied.
+
+## Model Training
+- **Framework**: TensorFlow with NVIDIA StyleGAN implementation.
+- **Hardware**: Trained using NVIDIA Tesla T4.
+- **Loss Function**: Uses non-saturating GAN loss with R1 regularization.
+- **Training Duration**: Depends on the dataset size and computing power.