runtime error

Exit code: 1. Reason: orest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16) File "/usr/local/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 859, in from_pretrained loaded_sub_model = load_sub_model( File "/usr/local/lib/python3.8/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 698, in load_sub_model loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs) File "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 2271, in from_pretrained return cls._from_pretrained( File "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 2505, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/usr/local/lib/python3.8/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 119, in __init__ super().__init__( File "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_fast.py", line 132, in __init__ fast_tokenizer = convert_slow_tokenizer(slow_tokenizer) File "/usr/local/lib/python3.8/site-packages/transformers/convert_slow_tokenizer.py", line 1597, in convert_slow_tokenizer return converter_class(transformer_tokenizer).converted() File "/usr/local/lib/python3.8/site-packages/transformers/convert_slow_tokenizer.py", line 538, in __init__ requires_backends(self, "protobuf") File "/usr/local/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1531, in requires_backends raise ImportError("".join(failed)) ImportError: T5Converter requires the protobuf library but it was not found in your environment. Checkout the instructions on the installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones that match your environment. Please note that you may need to restart your runtime after installation.

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