AnimeGAN

Why we included this project

For anyone who wants to turn a photo or a short clip into something that looks like anime stills, this TensorFlow implementation is a solid, lightweight starting point. It runs real-world photographs through a GAN to produce stylized anime frames, and the repo includes ready-to-run Colab notebooks for both images and videos, so you can test the effect on your own content without building a training pipeline first. This is the reference code behind the AnimeGAN paper, and the README passes along practical training notes, like adding enough photos of people to the training set if faces are your subject and adjusting exposure so the style data's brightness stays consistent. Because the project later evolved into AnimeGANv2 and v3, the original code also helps you trace how the approach changed across versions.