AI Avatars is a project that generates AI-generated avatar images using the DreamBooth model with stable diffusion and Hugging Face's token services. It leverages the power of state-of-the-art AI technologies to create personalized avatars from a training dataset of human images.
In today's digital age, creating personalized avatars has become a fascinating and challenging task. The AI Avatars project aims to tackle this challenge by using cutting-edge techniques, making it easier than ever to create unique and artistic avatars that capture the essence of an individual.
- Generate AI-powered avatars from real human images.
- Utilizes the DreamBooth model with stable diffusion for high-quality results.
- Leverages Hugging Face's token services for advanced text-to-image capabilities.
- Easily customizable and adaptable for various applications.
- Well-documented and easy-to-use codebase.
Follow these steps to generate AI avatars using the AI Avatars project:
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Clone the Repository:
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Installation:
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Run the AI Avatar Generator IPYNB file
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Explore Customization: Feel free to explore the various customization options in the code to adapt the avatars to your specific requirements.
This project relies on the following major dependencies:
- DreamBooth Model
- Stable Diffusion
- Hugging Face's Token Services
- Python 3.x
- NumPy
- TensorFlow
- Pillow (PIL)
We welcome contributions from the community! If you'd like to contribute to the AI Avatars project.
This project is licensed under the MIT License.
We would like to express our gratitude to the creators of the DreamBooth model and Hugging Face's token services for their invaluable contributions to this project.