Personalized virtual avatars through the application of state-of-the-art AI tools, Stable Diffusion fine-tunning with Dreambooth. The primary goal is to offer an accessible approach for users to craft lifelike avatars according to their preferences.

Methodology

• Workspace Setup: Utilize Google Colab and HuggingFaces for a seamless experience.
• Data Preparation: Craft a dataset of 768x768 images, optimized using birme.net to ensure desired cropping.
• Training and Fine-tuning: Employ Dreambooth for model adaptation, considering resource limitations.
• Avatar Integration: Seamlessly integrate avatars into preferred platforms.

Images