For example, to increase the number of gradient accumulation steps above the default value of 1:  
```bash
accelerate launch textual_inversion.py \
--gradient_accumulation_steps=4
```  
Some other basic and important parameters to specify include:  
- `--pretrained_model_name_or_path`: the name of the model on the Hub or a local path to the pretrained model
- `--train_data_dir`: path to a folder containing the training dataset (example images)
- `--output_dir`: where to save the trained model