#SD黄色本 アップデート情報AUTOMATIC1111 起動の不具合解消 第3刷に対応した hotfixを実施しました

「画像生成AI　Stable Diffusion スタートガイド」を読みながら勉強しているのですが、"セクション2-2 google colabでの環境構築"　でつまづいています。46ページ目の④モデルのダウンロードでエラーになります。Google Colab は pro にて有償利用しています。CUも充分残っています。以下にエラー最後の部分を記しておきます。

Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1146, 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 "", line 1050, in _gcd_import
File "", line 1027, in _find_and_load
File "", line 1006, in _find_and_load_unlocked
File "", line 688, in _load_unlocked
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 83, in
from accelerate import version as accelerate_version
File "/usr/local/lib/python3.10/dist-packages/accelerate/init.py", line 7, in
from .accelerator import Accelerator
File "/usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py", line 33, in
from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers
File "/usr/local/lib/python3.10/dist-packages/accelerate/tracking.py", line 29, in
from torch.utils import tensorboard
File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/init.py", line 12, in
from .writer import FileWriter, SummaryWriter # noqa: F401
File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/writer.py", line 13, in
from tensorboard.compat.proto import event_pb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/event_pb2.py", line 17, in
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
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
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
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
_descriptor.FieldDescriptor(
File "/usr/local/lib/python3.10/dist-packages/google/protobuf/descriptor.py", line 553, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot 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:Downgrade the protobuf package to 3.20.x or lower.
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 "/content/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py", line 13, in
initialize.imports()
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/initialize.py", line 17, in imports
import pytorch_lightning # noqa: F401
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/init.py", line 34, in
from pytorch_lightning.callbacks import Callback # noqa: E402
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/init.py", line 14, in
from pytorch_lightning.callbacks.callback import Callback
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/callback.py", line 25, in
from pytorch_lightning.utilities.types import STEP_OUTPUT
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/utilities/types.py", line 28, in
from torchmetrics import Metric
File "/usr/local/lib/python3.10/dist-packages/torchmetrics/init.py", line 14, in
from torchmetrics import functional # noqa: E402
File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/init.py", line 77, in
from torchmetrics.functional.text.bleu import bleu_score
File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/init.py", line 30, in
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
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
from transformers import AutoModelForMaskedLM, AutoTokenizer, PreTrainedModel, PreTrainedTokenizerBase
File "", line 1075, in _handle_fromlist
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1136, 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 1148, 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 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:Downgrade the protobuf package to 3.20.x or lower.
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