boredapeyachtclub

Introduction

The Bored Ape Yacht Club (BAYC) model is a LightWeight GAN model designed for the unconditional generation of images. It is part of the Hugging Face ecosystem and is related to the NFT collection available on OpenSea.

Architecture

The model uses a LightWeight GAN (Generative Adversarial Network) architecture to generate images. This type of GAN is optimized for producing high-quality images efficiently.

Training

The training data for this model is sourced from the Bored Ape Yacht Club dataset, which can be accessed here. The training procedure is detailed in the project repository on GitHub. The dataset is utilized to train the model to generate images that match the artistic style of the Bored Ape Yacht Club collection.

Guide: Running Locally

To run this model locally:

1. Clone the Project Repository:

   • Visit the GitHub repository and clone it to your local machine.

2. Install Dependencies:

   • Navigate to the cloned repository and install the necessary Python packages using pip install -r requirements.txt.

3. Download the Dataset:

   • Access and download the dataset from Hugging Face.

4. Run the Training Script:

   • Use the provided training script to start the training process. Adjust parameters as needed for your specific use case.

5. Cloud GPUs:

   • For enhanced performance, consider using cloud-based GPUs from providers such as AWS, Google Cloud, or Azure.

License

The Bored Ape Yacht Club model is licensed under the MIT License, allowing for open and flexible use.