ontrols the influence of the prior preservation loss on the model --real_prior: whether to use a small set of real images to prevent overfitting   Copied accelerate launch train_custom_diffusion.py \
  --with_prior_preservation \
  --prior_loss_weight=1.0 \
  --class_data_dir="./real_reg/samples_cat" \
  --class_prompt="cat" \
  --real_prior=True \  Training script A lot of the code in the Custom Diffusion training script is similar to the Drea