imply 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:   Copied accelerate launch --mixed_precision="fp16"  train_text_to_image.py \
  --pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5" \
  --dataset_name="name_of_your_dataset" \
  <other-arguments>  Next steps Now that you’ve created a dataset, you can