chunk_content: DreamBooth fine-tuning with LoRA
  	
  This guide demonstrates how to use LoRA, a low-rank approximation technique, to fine-tune DreamBooth with the
  CompVis/stable-diffusion-v1-4 model. 
  Although LoRA was initially designed as a technique for reducing the number of trainable parameters in
  large-language models, the technique can also be applied to diffusion models. Performing a complete model fine-tuning
  of diffusion models is a time-consuming task