install errors

[N3K00OO]

Hey there i have been getting erros installing automatic1111 on runpod recently it was fine yesterday and now its spewing a whole heap of erros :/

if anyone can help it would be appreciated :D

Launching Web UI with arguments: --disable-safe-unpickle --ngrok ***** --gradio-debug --enable-insecure-extension-access --no-half-vae --medvram
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1093, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/usr/lib/python3.10/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 78, in <module>
    from accelerate import __version__ as accelerate_version
  File "/usr/local/lib/python3.10/dist-packages/accelerate/__init__.py", line 7, in <module>
    from .accelerator import Accelerator
  File "/usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py", line 33, in <module>
    from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers
  File "/usr/local/lib/python3.10/dist-packages/accelerate/tracking.py", line 29, in <module>
    from torch.utils import tensorboard
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/__init__.py", line 12, in <module>
    from .writer import FileWriter, SummaryWriter  # noqa: F401
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/writer.py", line 9, in <module>
    from tensorboard.compat.proto.event_pb2 import SessionLog
  File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/event_pb2.py", line 17, in <module>
    from tensorboard.compat.proto import summary_pb2 as tensorboard_dot_compat_dot_proto_dot_summary__pb2
  File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/summary_pb2.py", line 17, in <module>
    from tensorboard.compat.proto import tensor_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor__pb2
  File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor_pb2.py", line 16, in <module>
    from tensorboard.compat.proto import resource_handle_pb2 as tensorboard_dot_compat_dot_proto_dot_resource__handle__pb2
  File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/resource_handle_pb2.py", line 16, in <module>
    from tensorboard.compat.proto import tensor_shape_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor__shape__pb2
  File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor_shape_pb2.py", line 36, in <module>
    _descriptor.FieldDescriptor(
  File "/usr/local/lib/python3.10/dist-packages/google/protobuf/descriptor.py", line 561, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates

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

Traceback (most recent call last):
  File "/workspace/stable-diffusion-webui/launch.py", line 38, in <module>
    main()
  File "/workspace/stable-diffusion-webui/launch.py", line 34, in main
    start()
  File "/workspace/stable-diffusion-webui/modules/launch_utils.py", line 340, in start
    import webui
  File "/workspace/stable-diffusion-webui/webui.py", line 28, in <module>
    import pytorch_lightning   # noqa: F401 # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
  File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/__init__.py", line 34, in <module>
    from pytorch_lightning.callbacks import Callback  # noqa: E402
  File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/__init__.py", line 14, in <module>
    from pytorch_lightning.callbacks.callback import Callback
  File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/callback.py", line 25, in <module>
    from pytorch_lightning.utilities.types import STEP_OUTPUT
  File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/utilities/types.py", line 28, in <module>
    from torchmetrics import Metric
  File "/usr/local/lib/python3.10/dist-packages/torchmetrics/__init__.py", line 14, in <module>
    from torchmetrics import functional  # noqa: E402
  File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/__init__.py", line 77, in <module>
    from torchmetrics.functional.text.bleu import bleu_score
  File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/__init__.py", line 30, in <module>
    from torchmetrics.functional.text.bert import bert_score  # noqa: F401
  File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/bert.py", line 24, in <module>
    from torchmetrics.functional.text.helper_embedding_metric import (
  File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/helper_embedding_metric.py", line 26, in <module>
    from transformers import AutoModelForMaskedLM, AutoTokenizer, PreTrainedModel, PreTrainedTokenizerBase
  File "<frozen importlib._bootstrap>", line 1075, in _handle_fromlist
  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1083, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1095, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.modeling_utils because of the following error (look up to see its traceback):
Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

[IliaKhuzhakhmetov]

Same