This notebook provides a boilerplate setup for training models using Dreambooth and LoRA with Hugging Face's Diffusers library in a cloud environment.

This notebook is designed to facilitate the training of Stable Diffusion 3 (SD3) models using the Dreambooth technique combined with Low-Rank Adaptation (LoRA). The process involves:

1. Cloning the Diffusers repository.
2. Installing necessary dependencies.
3. Optionally downloading a dataset from Hugging Face.
4. Logging into Hugging Face.
5. Running the Dreambooth training script.

Before you begin, ensure you have met the following requirements:

• Python 3.7 or higher
• A cloud environment (e.g., Google Colab, AWS, etc.)
• Hugging Face account