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SD3 Dreambooth / LoRA Training

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

Overview

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.

Prerequisites

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