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lshqqytiger / stable-diffusion-webui-amdgpu

Stable Diffusion web UI
GNU Affero General Public License v3.0
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[Bug]: ZLUDA: Error running preload for inbuilt extensions due to "TypeError: Descriptors cannot be created directly." after pulling update #501

Open almostwaves opened 1 month ago

almostwaves commented 1 month ago

Checklist

What happened?

I am unable to start webui-user after pulling the latest update. I then deleted the folder and did a fresh install using the zluda installation guide in https://github.com/CS1o/Stable-Diffusion-Info/wiki/Installation-Guides.

Both gave me the same error, "TypeError: Descriptors cannot be created directly", which seems to be an issue in running preload for inbuilt extensions.

I also tried downgrading protobuf using pip install protobuf==3.20.*, but still have the same issue.

Steps to reproduce the problem

  1. Install A1111 webui for amdgpus using the instructions in https://github.com/CS1o/Stable-Diffusion-Info/wiki/Installation-Guides
  2. Run webui-user with COMMANDLINE_ARGS = --use-zluda --update-check --skip-ort --opt-sdp-attention --opt-split-attention

What should have happened?

WebUI should open normally with a fresh install.

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

Unable to get sysinfo, due to following error:

Traceback (most recent call last): File "D:\stable-diffusion-webui-amdgpu\launch.py", line 48, in main() File "D:\stable-diffusion-webui-amdgpu\launch.py", line 29, in main filename = launch_utils.dump_sysinfo() File "D:\stable-diffusion-webui-amdgpu\modules\launch_utils.py", line 693, in dump_sysinfo text = sysinfo.get() File "D:\stable-diffusion-webui-amdgpu\modules\sysinfo.py", line 46, in get res = get_dict() File "D:\stable-diffusion-webui-amdgpu\modules\sysinfo.py", line 119, in get_dict "Extensions": get_extensions(enabled=True, fallback_disabled_extensions=config.get('disabled_extensions', [])), AttributeError: 'str' object has no attribute 'get'

Console logs

*** Error running preload() for D:\stable-diffusion-webui-amdgpu\extensions-builtin\LDSR\preload.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 30, in preload_extensions
        module = load_module(preload_script)
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 13, in load_module
        module_spec.loader.exec_module(module)
      File "<frozen importlib._bootstrap_external>", line 883, in exec_module
      File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
      File "D:\stable-diffusion-webui-amdgpu\extensions-builtin\LDSR\preload.py", line 2, in <module>
        from modules import paths
      File "D:\stable-diffusion-webui-amdgpu\modules\paths.py", line 60, in <module>
        import sgm  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\__init__.py", line 1, in <module>
        from .models import AutoencodingEngine, DiffusionEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\__init__.py", line 1, in <module>
        from .autoencoder import AutoencodingEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\autoencoder.py", line 6, in <module>
        import pytorch_lightning as pl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\__init__.py", line 35, in <module>
        from pytorch_lightning.callbacks import Callback  # noqa: E402
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\__init__.py", line 28, in <module>
        from pytorch_lightning.callbacks.pruning import ModelPruning
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\pruning.py", line 31, in <module>
        from pytorch_lightning.core.module import LightningModule
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\core\__init__.py", line 16, in <module>
        from pytorch_lightning.core.module import LightningModule
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\core\module.py", line 48, in <module>
        from pytorch_lightning.trainer.connectors.logger_connector.fx_validator import _FxValidator
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\trainer\__init__.py", line 17, in <module>
        from pytorch_lightning.trainer.trainer import Trainer
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 58, in <module>
        from pytorch_lightning.loops import PredictionLoop, TrainingEpochLoop
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\loops\__init__.py", line 15, in <module>
        from pytorch_lightning.loops.batch import TrainingBatchLoop  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\loops\batch\__init__.py", line 15, in <module>
        from pytorch_lightning.loops.batch.training_batch_loop import TrainingBatchLoop  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\loops\batch\training_batch_loop.py", line 20, in <module>
        from pytorch_lightning.loops.optimization.manual_loop import _OUTPUTS_TYPE as _MANUAL_LOOP_OUTPUTS_TYPE
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\loops\optimization\__init__.py", line 15, in <module>
        from pytorch_lightning.loops.optimization.manual_loop import ManualOptimization  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\loops\optimization\manual_loop.py", line 23, in <module>
        from pytorch_lightning.loops.utilities import _build_training_step_kwargs, _extract_hiddens
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\loops\utilities.py", line 29, in <module>
        from pytorch_lightning.strategies.parallel import ParallelStrategy
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\__init__.py", line 15, in <module>
        from pytorch_lightning.strategies.bagua import BaguaStrategy  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\bagua.py", line 29, in <module>
        from pytorch_lightning.plugins.precision import PrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\__init__.py", line 7, in <module>
        from pytorch_lightning.plugins.precision.apex_amp import ApexMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\__init__.py", line 18, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\fsdp_native_native_amp.py", line 24, in <module>
        from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\__init__.py", line 1, in <module>
        from ._flat_param import FlatParameter as FlatParameter
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_flat_param.py", line 30, in <module>
        from torch.distributed.fsdp._common_utils import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_common_utils.py", line 35, in <module>
        from torch.distributed.fsdp._fsdp_extensions import FSDPExtensions
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_fsdp_extensions.py", line 8, in <module>
        from torch.distributed._tensor import DeviceMesh, DTensor
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\__init__.py", line 6, in <module>
        import torch.distributed._tensor.ops
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\__init__.py", line 2, in <module>
        from .embedding_ops import *  # noqa: F403
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\embedding_ops.py", line 8, in <module>
        import torch.distributed._functional_collectives as funcol
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives.py", line 12, in <module>
        from . import _functional_collectives_impl as fun_col_impl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives_impl.py", line 36, in <module>
        from torch._dynamo import assume_constant_result
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\__init__.py", line 2, in <module>
        from . import convert_frame, eval_frame, resume_execution
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\convert_frame.py", line 40, in <module>
        from . import config, exc, trace_rules
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 50, in <module>
        from .variables import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\__init__.py", line 34, in <module>
        from .higher_order_ops import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\higher_order_ops.py", line 13, in <module>
        import torch.onnx.operators
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\__init__.py", line 59, in <module>
        from ._internal.onnxruntime import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\_internal\onnxruntime.py", line 36, in <module>
        import onnx
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\__init__.py", line 6, in <module>
        from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\external_data_helper.py", line 9, in <module>
        from .onnx_pb import TensorProto, ModelProto, AttributeProto, GraphProto
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_pb.py", line 4, in <module>
        from .onnx_ml_pb2 import *  # noqa
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_ml_pb2.py", line 33, in <module>
        _descriptor.EnumValueDescriptor(
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\google\protobuf\descriptor.py", line 789, 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

---
*** Error running preload() for D:\stable-diffusion-webui-amdgpu\extensions-builtin\Lora\preload.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 30, in preload_extensions
        module = load_module(preload_script)
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 13, in load_module
        module_spec.loader.exec_module(module)
      File "<frozen importlib._bootstrap_external>", line 883, in exec_module
      File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
      File "D:\stable-diffusion-webui-amdgpu\extensions-builtin\Lora\preload.py", line 2, in <module>
        from modules import paths
      File "D:\stable-diffusion-webui-amdgpu\modules\paths.py", line 60, in <module>
        import sgm  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\__init__.py", line 1, in <module>
        from .models import AutoencodingEngine, DiffusionEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\__init__.py", line 1, in <module>
        from .autoencoder import AutoencodingEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\autoencoder.py", line 6, in <module>
        import pytorch_lightning as pl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\__init__.py", line 35, in <module>
        from pytorch_lightning.callbacks import Callback  # noqa: E402
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\__init__.py", line 31, in <module>
        from pytorch_lightning.callbacks.stochastic_weight_avg import StochasticWeightAveraging
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\stochastic_weight_avg.py", line 28, in <module>
        from pytorch_lightning.strategies import DDPFullyShardedStrategy, DeepSpeedStrategy
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\__init__.py", line 15, in <module>
        from pytorch_lightning.strategies.bagua import BaguaStrategy  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\bagua.py", line 29, in <module>
        from pytorch_lightning.plugins.precision import PrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\__init__.py", line 11, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\__init__.py", line 18, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\fsdp_native_native_amp.py", line 24, in <module>
        from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\__init__.py", line 1, in <module>
        from ._flat_param import FlatParameter as FlatParameter
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_flat_param.py", line 30, in <module>
        from torch.distributed.fsdp._common_utils import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_common_utils.py", line 35, in <module>
        from torch.distributed.fsdp._fsdp_extensions import FSDPExtensions
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_fsdp_extensions.py", line 8, in <module>
        from torch.distributed._tensor import DeviceMesh, DTensor
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\__init__.py", line 6, in <module>
        import torch.distributed._tensor.ops
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\__init__.py", line 2, in <module>
        from .embedding_ops import *  # noqa: F403
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\embedding_ops.py", line 8, in <module>
        import torch.distributed._functional_collectives as funcol
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives.py", line 12, in <module>
        from . import _functional_collectives_impl as fun_col_impl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives_impl.py", line 36, in <module>
        from torch._dynamo import assume_constant_result
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\__init__.py", line 2, in <module>
        from . import convert_frame, eval_frame, resume_execution
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\convert_frame.py", line 40, in <module>
        from . import config, exc, trace_rules
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 50, in <module>
        from .variables import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\__init__.py", line 34, in <module>
        from .higher_order_ops import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\higher_order_ops.py", line 13, in <module>
        import torch.onnx.operators
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\__init__.py", line 59, in <module>
        from ._internal.onnxruntime import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\_internal\onnxruntime.py", line 36, in <module>
        import onnx
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\__init__.py", line 6, in <module>
        from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\external_data_helper.py", line 9, in <module>
        from .onnx_pb import TensorProto, ModelProto, AttributeProto, GraphProto
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_pb.py", line 4, in <module>
        from .onnx_ml_pb2 import *  # noqa
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_ml_pb2.py", line 33, in <module>
        _descriptor.EnumValueDescriptor(
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\google\protobuf\descriptor.py", line 789, 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

---
*** Error running preload() for D:\stable-diffusion-webui-amdgpu\extensions-builtin\ScuNET\preload.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 30, in preload_extensions
        module = load_module(preload_script)
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 13, in load_module
        module_spec.loader.exec_module(module)
      File "<frozen importlib._bootstrap_external>", line 883, in exec_module
      File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
      File "D:\stable-diffusion-webui-amdgpu\extensions-builtin\ScuNET\preload.py", line 2, in <module>
        from modules import paths
      File "D:\stable-diffusion-webui-amdgpu\modules\paths.py", line 60, in <module>
        import sgm  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\__init__.py", line 1, in <module>
        from .models import AutoencodingEngine, DiffusionEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\__init__.py", line 1, in <module>
        from .autoencoder import AutoencodingEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\autoencoder.py", line 6, in <module>
        import pytorch_lightning as pl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\__init__.py", line 35, in <module>
        from pytorch_lightning.callbacks import Callback  # noqa: E402
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\__init__.py", line 31, in <module>
        from pytorch_lightning.callbacks.stochastic_weight_avg import StochasticWeightAveraging
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\stochastic_weight_avg.py", line 28, in <module>
        from pytorch_lightning.strategies import DDPFullyShardedStrategy, DeepSpeedStrategy
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\__init__.py", line 15, in <module>
        from pytorch_lightning.strategies.bagua import BaguaStrategy  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\bagua.py", line 29, in <module>
        from pytorch_lightning.plugins.precision import PrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\__init__.py", line 11, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\__init__.py", line 18, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\fsdp_native_native_amp.py", line 24, in <module>
        from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\__init__.py", line 1, in <module>
        from ._flat_param import FlatParameter as FlatParameter
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_flat_param.py", line 30, in <module>
        from torch.distributed.fsdp._common_utils import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_common_utils.py", line 35, in <module>
        from torch.distributed.fsdp._fsdp_extensions import FSDPExtensions
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_fsdp_extensions.py", line 8, in <module>
        from torch.distributed._tensor import DeviceMesh, DTensor
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\__init__.py", line 6, in <module>
        import torch.distributed._tensor.ops
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\__init__.py", line 2, in <module>
        from .embedding_ops import *  # noqa: F403
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\embedding_ops.py", line 8, in <module>
        import torch.distributed._functional_collectives as funcol
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives.py", line 12, in <module>
        from . import _functional_collectives_impl as fun_col_impl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives_impl.py", line 36, in <module>
        from torch._dynamo import assume_constant_result
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\__init__.py", line 2, in <module>
        from . import convert_frame, eval_frame, resume_execution
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\convert_frame.py", line 40, in <module>
        from . import config, exc, trace_rules
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 50, in <module>
        from .variables import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\__init__.py", line 34, in <module>
        from .higher_order_ops import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\higher_order_ops.py", line 13, in <module>
        import torch.onnx.operators
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\__init__.py", line 59, in <module>
        from ._internal.onnxruntime import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\_internal\onnxruntime.py", line 36, in <module>
        import onnx
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\__init__.py", line 6, in <module>
        from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\external_data_helper.py", line 9, in <module>
        from .onnx_pb import TensorProto, ModelProto, AttributeProto, GraphProto
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_pb.py", line 4, in <module>
        from .onnx_ml_pb2 import *  # noqa
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_ml_pb2.py", line 33, in <module>
        _descriptor.EnumValueDescriptor(
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\google\protobuf\descriptor.py", line 789, 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

---
*** Error running preload() for D:\stable-diffusion-webui-amdgpu\extensions-builtin\SwinIR\preload.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 30, in preload_extensions
        module = load_module(preload_script)
      File "D:\stable-diffusion-webui-amdgpu\modules\script_loading.py", line 13, in load_module
        module_spec.loader.exec_module(module)
      File "<frozen importlib._bootstrap_external>", line 883, in exec_module
      File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
      File "D:\stable-diffusion-webui-amdgpu\extensions-builtin\SwinIR\preload.py", line 2, in <module>
        from modules import paths
      File "D:\stable-diffusion-webui-amdgpu\modules\paths.py", line 60, in <module>
        import sgm  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\__init__.py", line 1, in <module>
        from .models import AutoencodingEngine, DiffusionEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\__init__.py", line 1, in <module>
        from .autoencoder import AutoencodingEngine
      File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\autoencoder.py", line 6, in <module>
        import pytorch_lightning as pl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\__init__.py", line 35, in <module>
        from pytorch_lightning.callbacks import Callback  # noqa: E402
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\__init__.py", line 31, in <module>
        from pytorch_lightning.callbacks.stochastic_weight_avg import StochasticWeightAveraging
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\stochastic_weight_avg.py", line 28, in <module>
        from pytorch_lightning.strategies import DDPFullyShardedStrategy, DeepSpeedStrategy
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\__init__.py", line 15, in <module>
        from pytorch_lightning.strategies.bagua import BaguaStrategy  # noqa: F401
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\bagua.py", line 29, in <module>
        from pytorch_lightning.plugins.precision import PrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\__init__.py", line 11, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\__init__.py", line 18, in <module>
        from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\fsdp_native_native_amp.py", line 24, in <module>
        from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\__init__.py", line 1, in <module>
        from ._flat_param import FlatParameter as FlatParameter
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_flat_param.py", line 30, in <module>
        from torch.distributed.fsdp._common_utils import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_common_utils.py", line 35, in <module>
        from torch.distributed.fsdp._fsdp_extensions import FSDPExtensions
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_fsdp_extensions.py", line 8, in <module>
        from torch.distributed._tensor import DeviceMesh, DTensor
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\__init__.py", line 6, in <module>
        import torch.distributed._tensor.ops
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\__init__.py", line 2, in <module>
        from .embedding_ops import *  # noqa: F403
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\embedding_ops.py", line 8, in <module>
        import torch.distributed._functional_collectives as funcol
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives.py", line 12, in <module>
        from . import _functional_collectives_impl as fun_col_impl
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives_impl.py", line 36, in <module>
        from torch._dynamo import assume_constant_result
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\__init__.py", line 2, in <module>
        from . import convert_frame, eval_frame, resume_execution
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\convert_frame.py", line 40, in <module>
        from . import config, exc, trace_rules
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 50, in <module>
        from .variables import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\__init__.py", line 34, in <module>
        from .higher_order_ops import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\higher_order_ops.py", line 13, in <module>
        import torch.onnx.operators
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\__init__.py", line 59, in <module>
        from ._internal.onnxruntime import (
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\_internal\onnxruntime.py", line 36, in <module>
        import onnx
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\__init__.py", line 6, in <module>
        from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\external_data_helper.py", line 9, in <module>
        from .onnx_pb import TensorProto, ModelProto, AttributeProto, GraphProto
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_pb.py", line 4, in <module>
        from .onnx_ml_pb2 import *  # noqa
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_ml_pb2.py", line 33, in <module>
        _descriptor.EnumValueDescriptor(
      File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\google\protobuf\descriptor.py", line 789, 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

---
Traceback (most recent call last):
  File "D:\stable-diffusion-webui-amdgpu\launch.py", line 48, in <module>
    main()
  File "D:\stable-diffusion-webui-amdgpu\launch.py", line 39, in main
    prepare_environment()
  File "D:\stable-diffusion-webui-amdgpu\modules\launch_utils.py", line 664, in prepare_environment
    from modules import devices
  File "D:\stable-diffusion-webui-amdgpu\modules\devices.py", line 6, in <module>
    from modules import errors, shared, npu_specific
  File "D:\stable-diffusion-webui-amdgpu\modules\shared.py", line 6, in <module>
    from modules import shared_cmd_options, shared_gradio_themes, options, shared_items, sd_models_types
  File "D:\stable-diffusion-webui-amdgpu\modules\shared_items.py", line 4, in <module>
    from modules import script_callbacks, scripts, ui_components
  File "D:\stable-diffusion-webui-amdgpu\modules\script_callbacks.py", line 11, in <module>
    from modules import errors, timer, extensions, shared, util
  File "D:\stable-diffusion-webui-amdgpu\modules\extensions.py", line 9, in <module>
    from modules import shared, errors, cache, scripts
  File "D:\stable-diffusion-webui-amdgpu\modules\cache.py", line 9, in <module>
    from modules.paths import data_path, script_path
  File "D:\stable-diffusion-webui-amdgpu\modules\paths.py", line 60, in <module>
    import sgm  # noqa: F401
  File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\__init__.py", line 1, in <module>
    from .models import AutoencodingEngine, DiffusionEngine
  File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\__init__.py", line 1, in <module>
    from .autoencoder import AutoencodingEngine
  File "D:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\autoencoder.py", line 6, in <module>
    import pytorch_lightning as pl
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\__init__.py", line 35, in <module>
    from pytorch_lightning.callbacks import Callback  # noqa: E402
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\__init__.py", line 31, in <module>
    from pytorch_lightning.callbacks.stochastic_weight_avg import StochasticWeightAveraging
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\callbacks\stochastic_weight_avg.py", line 28, in <module>
    from pytorch_lightning.strategies import DDPFullyShardedStrategy, DeepSpeedStrategy
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\__init__.py", line 15, in <module>
    from pytorch_lightning.strategies.bagua import BaguaStrategy  # noqa: F401
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\strategies\bagua.py", line 29, in <module>
    from pytorch_lightning.plugins.precision import PrecisionPlugin
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\__init__.py", line 11, in <module>
    from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\__init__.py", line 18, in <module>
    from pytorch_lightning.plugins.precision.fsdp_native_native_amp import FullyShardedNativeNativeMixedPrecisionPlugin
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\plugins\precision\fsdp_native_native_amp.py", line 24, in <module>
    from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\__init__.py", line 1, in <module>
    from ._flat_param import FlatParameter as FlatParameter
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_flat_param.py", line 30, in <module>
    from torch.distributed.fsdp._common_utils import (
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_common_utils.py", line 35, in <module>
    from torch.distributed.fsdp._fsdp_extensions import FSDPExtensions
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\fsdp\_fsdp_extensions.py", line 8, in <module>
    from torch.distributed._tensor import DeviceMesh, DTensor
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\__init__.py", line 6, in <module>
    import torch.distributed._tensor.ops
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\__init__.py", line 2, in <module>
    from .embedding_ops import *  # noqa: F403
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_tensor\ops\embedding_ops.py", line 8, in <module>
    import torch.distributed._functional_collectives as funcol
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives.py", line 12, in <module>
    from . import _functional_collectives_impl as fun_col_impl
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\distributed\_functional_collectives_impl.py", line 36, in <module>
    from torch._dynamo import assume_constant_result
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\__init__.py", line 2, in <module>
    from . import convert_frame, eval_frame, resume_execution
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\convert_frame.py", line 40, in <module>
    from . import config, exc, trace_rules
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 50, in <module>
    from .variables import (
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\__init__.py", line 34, in <module>
    from .higher_order_ops import (
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\_dynamo\variables\higher_order_ops.py", line 13, in <module>
    import torch.onnx.operators
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\__init__.py", line 59, in <module>
    from ._internal.onnxruntime import (
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\onnx\_internal\onnxruntime.py", line 36, in <module>
    import onnx
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\__init__.py", line 6, in <module>
    from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\external_data_helper.py", line 9, in <module>
    from .onnx_pb import TensorProto, ModelProto, AttributeProto, GraphProto
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_pb.py", line 4, in <module>
    from .onnx_ml_pb2 import *  # noqa
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\onnx\onnx_ml_pb2.py", line 33, in <module>
    _descriptor.EnumValueDescriptor(
  File "D:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\google\protobuf\descriptor.py", line 789, 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
Press any key to continue . . .

Additional information

No response

CS1o commented 1 month ago

Hey, please try the following: Open up a cmd and run pip cache purge Then delete the venv folder. Then remove --opt-sdp-attention and --opt-split-attention from the webui-user.bat Then relaunch the webui-user.bat