accelerate launch train_custom_diffusion.py \
--pretrained_model_name_or_path=$MODEL_NAME  \
--output_dir=$OUTPUT_DIR \
--concepts_list=./concept_list.json \
--with_prior_preservation \
--real_prior \
--prior_loss_weight=1.0 \
--resolution=512  \
--train_batch_size=2  \
--learning_rate=1e-5  \
--lr_warmup_steps=0 \
--max_train_steps=500 \
--num_class_images=200 \
--scale_lr \
--hflip  \
--modifier_token "<new1>+<new2>" \
--push_to_hub
```  
</hfoption>
</hfoptions>