AI-Generated-Pokemon-RuDALL-E

Introduction

AI-Generated-Pokemon-RuDALL-E is a finetuned version of the ruDALL-E model focused on Pokémon image generation. This model became popular after producing AI-generated Pokémon images that went viral on social media platforms like Twitter and Reddit.

Architecture

The model is based on ruDALL-E, a powerful image generation framework developed by Sberbank AI. It has been specifically finetuned to generate Pokémon images, leveraging the capabilities of ruDALL-E for creative image synthesis.

Training

The model was trained for 12 epochs, taking approximately 4.5 hours on an NVIDIA P100 GPU. The training process utilized a maximum learning rate of 1e-5. The fine-tuning example was executed using a Colab Notebook.

Guide: Running Locally

1. Clone the repository: Download the model files from the repository.
2. Set up the environment: Install the necessary dependencies, including PyTorch.
3. Run the model: Use a Python script or Jupyter Notebook to load and execute the model for image generation.
4. Play with the model: Access the interactive Colab Notebook here.

For optimal performance, consider using cloud GPUs such as those provided by Google Cloud, AWS, or Azure.

License

The project is released under the MIT License.