" \
  --push_to_hub
A similar process can be followed to fully fine-tune Stable Diffusion on a custom dataset using the
examples/text_to_image/train_text_to_image_lora.py script.
Refer to the respective examples linked above to learn more. 
When using LoRA we can use a much higher learning rate (typically 1e-4 as opposed to ~1e-6) compared to non-LoRA Dreambooth fine-tuning.
But there is no free lunch. For the given dataset and expected generat