Not able to download model from HuggingFace.

[yugkha3]

Describe the bug

I am trying to train face on the Stable Diffusion model, but I am getting this error on the colab file cell: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb#scrollTo=jjcSXTp-u-Eg

Error:

2023-03-06 23:03:41.580469: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-03-06 23:03:42.713916: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-06 23:03:42.714048: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-06 23:03:42.714070: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
The following values were not passed to `accelerate launch` and had defaults used instead:
	`--num_processes` was set to a value of `1`
	`--num_machines` was set to a value of `1`
	`--mixed_precision` was set to a value of `'no'`
	`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
2023-03-06 23:03:46.845653: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-06 23:03:46.845754: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-06 23:03:46.845773: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
/usr/local/lib/python3.8/dist-packages/accelerate/accelerator.py:231: FutureWarning: `logging_dir` is deprecated and will be removed in version 0.18.0 of 🤗 Accelerate. Use `project_dir` instead.
  warnings.warn(
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/diffusers/configuration_utils.py", line 326, in load_config
    config_file = hf_hub_download(
  File "/usr/local/lib/python3.8/dist-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    validate_repo_id(arg_value)
  File "/usr/local/lib/python3.8/dist-packages/huggingface_hub/utils/_validators.py", line 172, in validate_repo_id
    raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: ''.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train_dreambooth.py", line 869, in <module>
    main(args)
  File "train_dreambooth.py", line 473, in main
    pipeline = StableDiffusionPipeline.from_pretrained(
  File "/usr/local/lib/python3.8/dist-packages/diffusers/pipelines/pipeline_utils.py", line 543, in from_pretrained
    config_dict = cls.load_config(
  File "/usr/local/lib/python3.8/dist-packages/diffusers/configuration_utils.py", line 363, in load_config
    raise EnvironmentError(
OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like  is not the path to a directory containing a model_index.json file.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/diffusers/installation#offline-mode'.
Traceback (most recent call last):
  File "/usr/local/bin/accelerate", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/accelerate_cli.py", line 45, in main
    args.func(args)
  File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 1097, in launch_command
    simple_launcher(args)
  File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 552, in simple_launcher
    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=', '--pretrained_vae_name_or_path=stabilityai/sd-vae-ft-mse', '--output_dir=', '--revision=fp16', '--with_prior_preservation', '--prior_loss_weight=1.0', '--seed=1337', '--resolution=512', '--train_batch_size=1', '--train_text_encoder', '--mixed_precision=fp16', '--use_8bit_adam', '--gradient_accumulation_steps=1', '--learning_rate=1e-6', '--lr_scheduler=constant', '--lr_warmup_steps=224', '--num_class_images=336', '--sample_batch_size=4', '--max_train_steps=2240', '--save_interval=10000', '--save_sample_prompt=Photo of {INSTANCE_NAME} {CLASS_NAME}, highly detailed, 8k, uhd, studio lighting, beautiful', '--concepts_list=concepts_list.json']' returned non-zero exit status 1.

Reproduction

!accelerate launch train_dreambooth.py \
  --pretrained_model_name_or_path=$MODEL_NAME \
  --pretrained_vae_name_or_path="stabilityai/sd-vae-ft-mse" \
  --output_dir=$OUTPUT_DIR \
  --revision="fp16" \
  --with_prior_preservation --prior_loss_weight=1.0 \
  --seed=1337 \
  --resolution=512 \
  --train_batch_size=1 \
  --train_text_encoder \
  --mixed_precision="fp16" \
  --use_8bit_adam \
  --gradient_accumulation_steps=1 \
  --learning_rate=1e-6 \
  --lr_scheduler="constant" \
  --lr_warmup_steps=0 \
  --num_class_images=50 \
  --sample_batch_size=4 \
  --max_train_steps=800 \
  --save_interval=10000 \
  --save_sample_prompt="photo of zwx dog" \
  --concepts_list="concepts_list.json"

Reduce the --save_interval to lower than --max_train_steps to save weights from intermediate steps.

--save_sample_prompt can be same as --instance_prompt to generate intermediate samples (saved along with weights in samples directory).

Logs

No response

System Info

Running on the standard Google Colab Environment