The Anime Face generator is a deep learning model that generates anime-style faces using generative adversarial networks (GANs). It is trained on a large dataset of anime faces and can generate new faces with various attributes, such as gender, age, and emotions.
The dataset used in this code is "Anime Faces" dataset available on Kaggle. The dataset contains 21551 anime face images with size 64x64 pixels.
To run the code, follow the below instructions:
1 - Install Kaggle API by running !pip install -q kaggle
2 - Upload your Kaggle API token (kaggle.json) by running the code from google.colab import files files.upload()
3 - Create a directory for your Kaggle API token by running ! mkdir ~/.kaggle
4 - Copy your Kaggle API token to the new directory by running ! cp kaggle.json ~/.kaggle/
5 - Change the permission of the Kaggle API token by running ! chmod 600 ~/.kaggle/kaggle.json
6 - List the available datasets by running ! kaggle datasets list
7 - Download the "Anime Faces" dataset by running ! kaggle datasets download -d soumikrakshit/anime-faces
8 - Unzip the downloaded file by running !unzip anime-faces.zip
9 - Run the code to generate anime faces.