StyleGAN3-T-AnimeFaces

Introduction

StyleGAN3-T-AnimeFaces is a generative adversarial network (GAN) model designed to generate anime-style faces. It builds upon the StyleGAN3 architecture to create high-quality, realistic anime images.

Architecture

The model leverages the StyleGAN3 architecture, which is known for its capacity to generate high-resolution images with improved training stability and better image quality. StyleGAN3 introduces new features such as alias-free synthesis and a new generator design, which are beneficial for producing detailed and realistic anime faces.

Training

The training process involves using a dataset of anime faces to fine-tune the StyleGAN3 model. The model undergoes multiple iterations to learn the complex patterns and features present in anime-style art. By leveraging StyleGAN3's advancements, the model achieves state-of-the-art results in image generation tasks.

Guide: Running Locally

To run the StyleGAN3-T-AnimeFaces model locally, follow these steps:

1. Clone the Repository:

   git clone [repository-url]
   cd stylegan3-t-animefaces
   

2. Install Dependencies: Ensure you have Python and pip installed, then run:

   pip install -r requirements.txt
   

3. Download Pre-trained Weights: Obtain the pre-trained model weights and place them in the appropriate directory.

4. Run the Model: Execute the script to generate images:

   python generate.py --output-dir=out --truncation-psi=0.5
   

5. GPU Recommendation: For faster processing, consider using cloud GPU services like AWS EC2, Google Cloud, or Azure.

License

The StyleGAN3-T-AnimeFaces model is released under the MIT License, allowing for flexible reuse and modification.