Stable diffusion colab does not open, how can I solve it?

[htdemirci]

Stable diffusion colab does not open, how can I solve it?
gives the following error

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:

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 "/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:

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

[LNDxLiViD]

This issue has a thread already.
After updating and installing requirements you have to add code and type in the following: !pip install protobuf==3.20.3
execute (you have to restart the runtime after) and it should run properly

[htdemirci]

This issue has a thread already. After updating and installing requirements you have to add code and type in the following: !pip install protobuf==3.20.3 execute (you have to restart the runtime after) and it should run properly

I don't know exactly where and how I should put it.

[htdemirci]

problem solved thank you

[Ukolukol13]

Requirement already satisfied: protobuf==3.20.3 in /usr/local/lib/python3.10/dist-packages (3.20.3)
WARNING: Error parsing dependencies of pytorch-lightning: .* suffix can only be used with == or != operators
torch (>=1.9.)
~~~~~~^
WARNING: Error parsing dependencies of torchsde: . suffix can only be used with == or != operators
numpy (>=1.19.*) ; python_version >= "3.7"
~~~~~~~^

[LNDxLiViD]

@Ukolukol13 okay then it got fixed i guess, so no need to add code next time

[aionrevenge]

if still got error change to
!pip install protobuf==3.19.0

[mdlieber99]

is a1111 still working for folks on google colab today? it stopped working again for me.

[LNDxLiViD]

@mdlieber99 did you try downgrading it to protobuf 3.19.0 like aionrevenge recommended? I can't test it atm

[aleganda]

I tried what @aionrevenge said and downgraded it to protobuf 3.19.0

copy and paste this code and place it before the start stable diffusion

!pip install protobuf==3.19.0

and it works
thanks

[TheLastBen]

use the latest notebook it was fixed a few days ago

[ukoliukolitattoo]

THENX! Its work🫡

[mdlieber99]

dreambooth still isn't working though (a1111 is fine though - thanks!)