File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\transformers\utils\import_utils.py", line 1172, in get_module
return importlib.import_module("." + module_name, self.name)
File "C:\Users\HP-SERVER.conda\envs\mynewenv\lib\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 "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\transformers\models\clip\image_processing_clip.py", line 22, in
from ...image_transforms import (
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\transformers\image_transforms.py", line 48, in
import tensorflow as tf
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow_init.py", line 37, in
from tensorflow.python.tools import module_util as module_util
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\python_init.py", line 37, in
from tensorflow.python.eager import context
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\eager\context.py", line 29, in
from tensorflow.core.framework import function_pb2
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\core\framework\function_pb2.py", line 16, in
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 16, in
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\core\framework\tensor_pb2.py", line 16, in
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 16, in
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-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:
- 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 "\IDM-VTON\app.py", line 3, in
from src.tryon_pipeline import StableDiffusionXLInpaintPipeline as TryonPipeline
File "\src\tryon_pipeline.py", line 21, in
from transformers import (
File "", line 1075, in _handle_fromlist
File "\AppData\Roaming\Python\Python310\site-packages\transformers\utils\import_utils.py", line 1163, in getattr
value = getattr(module, name)
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\transformers\utils\import_utils.py", line 1162, in getattr
module = self._get_module(self._class_to_module[name])
File "C:\Users\HP-SERVER\AppData\Roaming\Python\Python310\site-packages\transformers\utils\import_utils.py", line 1174, in _get_module
raise RuntimeError(
RuntimeError: Failed to import transformers.models.clip.image_processing_clip 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:
- 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
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