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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.
+---
+tags:
+  - stylegan
+  - image-generation
+  - deep-learning
+  - ai
+library_name: tensorflow
+license: mit
+model-index:
+  - name: StyleGAN K-Girl
+    results: []
+---