# if you want to push to a private repo, simply pass private=True:
dataset.push_to_hub("name_of_your_dataset", private=True)
```  
Now the dataset is available for training by passing the dataset name to the `--dataset_name` argument:  
```bash
accelerate launch --mixed_precision="fp16"  train_text_to_image.py \
--pretrained_model_name_or_path="stable-diffusion-v1-5/stable-diffusion-v1-5" \
--dataset_name="name_of_your_dataset" \
<other-arguments>
```