requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/models/free21to9/ddpm-ema-flowers-64/preupload/main

When I run the diffusers/examples/dreambooth/train_dreambooth.py via the following command:
accelerate launch train_unconditional.py
–dataset_name=“huggan/flowers-102-categories”
–resolution=64
–output_dir=“ddpm-ema-flowers-64”
–train_batch_size=16
–num_epochs=100
–gradient_accumulation_steps=1
–learning_rate=1e-4
–lr_warmup_steps=500
–mixed_precision=no
–push_to_hub
I got an error:
Configuration saved in ddpm-ema-flowers-64/unet/config.json

Model weights saved in ddpm-ema-flowers-64/unet/diffusion_pytorch_model.safetensors

Configuration saved in ddpm-ema-flowers-64/scheduler/scheduler_config.json

Configuration saved in ddpm-ema-flowers-64/model_index.json

Traceback (most recent call last):

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_errors.py”, line 261, in hf_raise_for_status

 response.raise_for_status()

File “/opt/venv/lib/python3.8/site-packages/requests/models.py”, line 1021, in raise_for_status

 raise HTTPError(http_error_msg, response=self)

requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/models/free21to9/ddpm-ema-flowers-64/preupload/main

The above exception was the direct cause of the following exception:

Traceback (most recent call last):

File “train_unconditional.py”, line 706, in

 main(args)

File “train_unconditional.py”, line 694, in main

 upload_folder(

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py”, line 118, in _inner_fn

 return fn(*args, **kwargs)

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/hf_api.py”, line 849, in _inner

 return fn(self, *args, **kwargs)

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/hf_api.py”, line 3748, in upload_folder

 commit_info = self.create_commit(

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py”, line 118, in _inner_fn

 return fn(*args, **kwargs)

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/hf_api.py”, line 849, in _inner

 return fn(self, *args, **kwargs)

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/hf_api.py”, line 2914, in create_commit

 upload_modes = fetch_upload_modes(

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py”, line 118, in _inner_fn

 return fn(*args, **kwargs)

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/_commit_api.py”, line 482, in fetch_upload_modes

 hf_raise_for_status(resp)

File “/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_errors.py”, line 293, in hf_raise_for_status

 raise RepositoryNotFoundError(message, response) from e

huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6538c8bf-3f8ae8bc0a2c6f6876146985;2e31764d-4801-49c6-b193-97cb46a43848)

Repository Not Found for url: https://huggingface.co/api/models/free21to9/ddpm-ema-flowers-64/preupload/main.

Please make sure you specified the correct repo_id and repo_type.

If you are trying to access a private or gated repo, make sure you are authenticated.

Invalid username or password.

Note: Creating a commit assumes that the repo already exists on the Huggingface Hub. Please use create_repo if it’s not the case.

Traceback (most recent call last):

File “/opt/venv/bin/accelerate”, line 8, in

 sys.exit(main())

File “/opt/venv/lib/python3.8/site-packages/accelerate/commands/accelerate_cli.py”, line 47, in main

 args.func(args)

File “/opt/venv/lib/python3.8/site-packages/accelerate/commands/launch.py”, line 986, in launch_command

 simple_launcher(args)

File “/opt/venv/lib/python3.8/site-packages/accelerate/commands/launch.py”, line 628, in simple_launcher

 raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)

subprocess.CalledProcessError: Command ‘[’/opt/venv/bin/python3’, ‘train_unconditional.py’, ‘–dataset_name=huggan/flowers-102-categories’, ‘–resolution=64’, ‘–output_dir=ddpm-ema-flowers-64’, ‘–train_batch_size=16’, ‘–num_epochs=100’, ‘–gradient_accumulation_steps=1’, ‘–learning_rate=1e-4’, ‘–lr_warmup_steps=500’, ‘–mixed_precision=no’, ‘–push_to_hub’]’ returned non-zero exit status 1.

anyone can hlep?