Anime Background G A N Miyazaki

Introduction

AnimeBackgroundGAN-Miyazaki is a model designed to transform real-life photos into Japanese animation-style backgrounds. It is inspired by the works of Hayao Miyazaki, such as "Howl's Moving Castle." This model is part of a series created using the CartoonGAN method by Chen et al.

Architecture

The model utilizes generative adversarial networks (GANs) to achieve its image-to-image transformation. The implementation is done in PyTorch, leveraging the capabilities of this deep learning library to create visually appealing, animation-style backgrounds.

Training

The AnimeBackgroundGAN-Miyazaki model is pre-trained using the CartoonGAN method, which is detailed in the paper "Generative Adversarial Networks for Photo Cartoonization" by Chen et al., presented at CVPR 2018. It follows a soft, painterly style typical of Miyazaki's movies.

Guide: Running Locally

1. Install PyTorch: Ensure you have PyTorch installed in your environment.
2. Clone Repository: Clone the AnimeBackgroundGAN-Miyazaki repository from Hugging Face.
3. Download Pre-trained Model: Access the pre-trained model files from the repository.
4. Run the Model: Use the provided scripts to run the model on your local images to transform them.
5. Cloud GPUs: For better performance, especially with large images or batch processing, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure.

License

The AnimeBackgroundGAN-Miyazaki model is licensed under the MIT License, allowing for broad usage and modification rights.