This repository contains code for generating anime faces using Generative Adversarial Networks (GANs) implemented in PyTorch. The project utilizes deep learning techniques to create synthetic anime face images.
Generative Adversarial Networks have gained significant popularity in the domain of image generation tasks. This project focuses specifically on generating anime faces, a challenging and visually appealing task. By employing GANs, the model learns to generate new anime face images that exhibit realistic features resembling those found in actual anime characters.
Python 3.x PyTorch Torchvision Wandb Imageio tqdm Matplotlib Getting Started Clone this repository: bash Copy code git clone https://github.com/your_username/anime-face-generation.git Install the required dependencies: bash Copy code pip install -r requirements.txt Ensure that you have access to a GPU if available, as training GANs can be computationally intensive. Usage Set up your environment by running the provided Jupyter Notebook or Python script. Ensure that the dataset of anime faces is properly prepared. You can use publicly available datasets or curate your own dataset. Adjust hyperparameters and configurations as needed in the script. Run the script to train the GAN model. Monitor the training progress using the provided tools such as Weights & Biases integration and progress visualization. Once trained, the model can be used to generate new anime face images. Directory Structure data/: Directory for storing anime face dataset. drive/: Directory containing checkpoints and progress logs. model/: Directory for storing GAN model definitions and related scripts. utils/: Directory for utility scripts and helper functions. Acknowledgments The code in this repository is based on various tutorials, research papers, and open-source implementations related to GANs and image generation. Credits to the creators and contributors of PyTorch, Wandb, and other libraries used in this project. Contributing Contributions are welcome! For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
Author Mubashir (forbiddenvelocity) GitHub: github.com/forbiddenvelocity Feel free to reach out with any questions, suggestions, or feedback!