Kavindutharaka/kgirls-stylegan

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 GPU.
• Loss Function: Uses non-saturating GAN loss with R1 regularization.
• Training Duration: Depends on the dataset size and computing power.