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radames / Real-Time-Latent-Consistency-Model

App showcasing multiple real-time diffusion models pipelines with Diffusers
https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model
Apache License 2.0
862 stars 101 forks source link

Doesn't start after install, can't get through to the GUI #23

Closed oliverban closed 9 months ago

oliverban commented 10 months ago

When running "uvicorn "app-txt2img:app" --host 0.0.0.0 --port 7860 --reload" i get the below error

C:\Users\Oliver\Documents\Github\Real-Time-Latent-Consistency-Model>uvicorn "app-txt2img:app" --host 0.0.0.0 --port 7860 --reload ←[32mINFO←[0m: Will watch for changes in these directories: ['C:\Users\Oliver\Documents\Github\Real-Time-Latent-Consistency-Model'] ←[32mINFO←[0m: Uvicorn running on ←[1mhttp://0.0.0.0:7860←[0m (Press CTRL+C to quit) ←[32mINFO←[0m: Started reloader process [←[36m←[1m18300←[0m] using ←[36m←[1mWatchFiles←[0m Process SpawnProcess-1: Traceback (most recent call last): File "C:\Python\lib\site-packages\tensorboard\compat__init.py", line 42, in tf from tensorboard.compat import notf # noqa: F401 ImportError: cannot import name 'notf' from 'tensorboard.compat' (C:\Python\lib\site-packages\tensorboard\compat\init__.py)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Python\lib\multiprocessing\process.py", line 314, in _bootstrap self.run() File "C:\Python\lib\multiprocessing\process.py", line 108, in run self._target(*self._args, **self._kwargs) File "C:\Python\lib\site-packages\uvicorn_subprocess.py", line 76, in subprocess_started target(sockets=sockets) File "C:\Python\lib\site-packages\uvicorn\server.py", line 59, in run return asyncio.run(self.serve(sockets=sockets)) File "C:\Python\lib\asyncio\runners.py", line 44, in run return loop.run_until_complete(main) File "C:\Python\lib\asyncio\base_events.py", line 649, in run_until_complete return future.result() File "C:\Python\lib\site-packages\uvicorn\server.py", line 66, in serve config.load() File "C:\Python\lib\site-packages\uvicorn\config.py", line 471, in load self.loaded_app = import_from_string(self.app) File "C:\Python\lib\site-packages\uvicorn\importer.py", line 21, in import_from_string module = importlib.import_module(module_str) File "C:\Python\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\Oliver\Documents\Github\Real-Time-Latent-Consistency-Model\app-txt2img.py", line 16, in from diffusers import DiffusionPipeline, AutoencoderTiny File "C:\Python\lib\site-packages\diffusers__init.py", line 3, in from .configuration_utils import ConfigMixin File "C:\Python\lib\site-packages\diffusers\configuration_utils.py", line 34, in from .utils import ( File "C:\Python\lib\site-packages\diffusers\utils__init.py", line 21, in from .accelerate_utils import apply_forward_hook File "C:\Python\lib\site-packages\diffusers\utils\accelerate_utils.py", line 24, in import accelerate File "C:\Python\lib\site-packages\accelerate__init.py", line 3, in from .accelerator import Accelerator File "C:\Python\lib\site-packages\accelerate\accelerator.py", line 39, in from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers File "C:\Python\lib\site-packages\accelerate\tracking.py", line 42, in from torch.utils import tensorboard File "C:\Python\lib\site-packages\torch\utils\tensorboard\init__.py", line 12, in from .writer import FileWriter, SummaryWriter # noqa: F401 File "C:\Python\lib\site-packages\torch\utils\tensorboard\writer.py", line 16, in from ._embedding import ( File "C:\Python\lib\site-packages\torch\utils\tensorboard_embedding.py", line 9, in _HAS_GFILE_JOIN = hasattr(tf.io.gfile, "join") File "C:\Python\lib\site-packages\tensorboard\lazy.py", line 65, in getattr return getattr(load_once(self), attr_name) File "C:\Python\lib\site-packages\tensorboard\lazy.py", line 97, in wrapper cache[arg] = f(arg) File "C:\Python\lib\site-packages\tensorboard\lazy.py", line 50, in load_once module = load_fn() File "C:\Python\lib\site-packages\tensorboard\compat\init.py", line 45, in tf import tensorflow File "C:\Python\lib\site-packages\tensorflow\init__.py", line 37, in from tensorflow.python.tools import module_util as _module_util File "C:\Python\lib\site-packages\tensorflow\python\init.py", line 37, in from tensorflow.python.eager import context File "C:\Python\lib\site-packages\tensorflow\python\eager\context.py", line 29, in from tensorflow.core.framework import function_pb2 File "C:\Python\lib\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_attrvalue__pb2 File "C:\Python\lib\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_tensorpb2 File "C:\Python\lib\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_resourcehandlepb2 File "C:\Python\lib\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_tensorshapepb2 File "C:\Python\lib\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in _descriptor.FieldDescriptor( File "C:\Python\lib\site-packages\google\protobuf\descriptor.py", line 544, 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

Any help is appreciated, want to test out this gem with my webcam!

Windows 10 latest AMD Threadripper 2x3090 Nvidia GPU 64GB RAM Installed in My documents with full rights on an NVME-SSD

radames commented 10 months ago

hi @oliverban , your machine looks awesome to run this, mostly likely an issue with python environment. could you please try it again? I've just pushed a new codebase, but make sure to pull and reinstall python requirements