FaceForge is a project that utilizes Generative Adversarial Networks (GANs) to generate realistic human faces. This project aims to demonstrate the power of GANs in generating high-quality images of human faces.
- Generates human faces using GANs
- Utilizes a discriminator and generator model architecture
- Provides options to customize the generated faces by adjusting parameters such as image size, batch size, and number of epochs
- Python 3.x
- TensorFlow 2.x
- Matplotlib
- NumPy
- Clone the repository:
git clone https://github.com/Priyanshu085/FaceForge.git
- Navigate to the project directory:
cd FaceForge
- Install the required dependencies:
pip install -r requirements.txt
- Run the main script to start generating faces:
python main.py
- Generated faces will be saved in the
generate_facedirectory.
Contributions to improve FaceForge are welcome! Feel free to open a pull request with your enhancements or bug fixes.
This project is licensed under the MIT License. See the LICENSE file for details.
This project was inspired by the work on Generative Adversarial Networks and the desire to create realistic human faces using machine learning techniques.