runtime error

Exit code: 1. Reason: per( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 285, in _request_wrapper response = _request_wrapper( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 309, in _request_wrapper hf_raise_for_status(response) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 426, in hf_raise_for_status raise _format(GatedRepoError, message, response) from e huggingface_hub.errors.GatedRepoError: 403 Client Error. (Request ID: Root=1-67fec02c-5b4bc904693995e3079503b4;5d71bc1d-a593-4dad-bfa0-d14dc908e879) Cannot access gated repo for url https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/vae/config.json. Access to model black-forest-labs/FLUX.1-dev is restricted and you are not in the authorized list. Visit https://huggingface.co/black-forest-labs/FLUX.1-dev to ask for access. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 2104, in <module> good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 984, in from_pretrained config, unused_kwargs, commit_hash = cls.load_config( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 405, in load_config raise EnvironmentError( OSError: black-forest-labs/FLUX.1-dev is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' If this is a private repository, make sure to pass a token having permission to this repo with `token` or log in with `huggingface-cli login`.

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