metadata

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

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.