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--- |
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tags: |
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- stylegan |
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- image-generation |
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- deep-learning |
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- ai |
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library_name: tensorflow |
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license: mit |
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model-index: |
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- name: StyleGAN K-Girl |
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results: [] |
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--- |
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# StyleGAN K-Girl Image Generation |
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## Overview |
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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. |
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## Dataset |
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- The dataset consists of high-resolution images of K-girls. |
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- Images are preprocessed and resized to fit StyleGAN's input requirements. |
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- Data augmentation techniques such as flipping and color adjustments are applied. |
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## Model Training |
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- **Framework**: TensorFlow with NVIDIA StyleGAN implementation. |
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- **Hardware**: Trained using NVIDIA Tesla T4 GPU. |
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- **Loss Function**: Uses non-saturating GAN loss with R1 regularization. |
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- **Training Duration**: Depends on the dataset size and computing power. |
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