chunk_content: ue can also be applied to diffusion models. Performing a complete model fine-tuning
  of diffusion models is a time-consuming task, which is why lightweight techniques like DreamBooth or Textual Inversion
  gained popularity. With the introduction of LoRA, customizing and fine-tuning a model on a specific dataset has become
  even faster.
  In this guide we’ll be using a DreamBooth fine-tuning script that is available in
  PEFT’s GitHub repo. Feel free t