Getting this error on automatic webui on colab #33
Comments
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Yes, it's probably due to a not working optimization. 1.2.1 should fix it. |
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Oh all good then. thanks for the extension :) |
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I have an issue after installing the extension. Tried to update and reinstall, but still same problem. I'm using colab script from https://github.com/TheLastBen/fast-stable-diffusion ** Error loading script: faceswaplab.py |
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This shouldn't happen, I think there's an error during installation. You can have a look at the general note on this subject : #36 |
Describe the bug
I get this error on webui on colab and it doesn't work:
85% 17/20 [00:05<00:00, 3.98it/s]
90% 18/20 [00:06<00:00, 4.11it/s]
95% 19/20 [00:06<00:00, 3.96it/s]
100% 20/20 [00:06<00:00, 3.01it/s]
2023-08-06 08:47:15,216 - FaceSwapLab - INFO - Try to use model : /content/sdw/models/faceswaplab/inswapper_128.onnx
2023-08-06 08:47:15,272 - FaceSwapLab - INFO - Load analysis model, will take some time. (> 30s)
Loading analysis model (first time is slow): 100% 1/1 [00:08<00:00, 8.49s/model]
2023-08-06 08:47:23,760 - FaceSwapLab - INFO - ("Applied providers: ['CPUExecutionProvider'], with options: "
"{'CPUExecutionProvider': {}}\n"
'find model: '
'/content/sdw/models/faceswaplab/analysers/models/buffalo_l/1k3d68.onnx '
"landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n"
"Applied providers: ['CPUExecutionProvider'], with options: "
"{'CPUExecutionProvider': {}}\n"
'find model: '
'/content/sdw/models/faceswaplab/analysers/models/buffalo_l/2d106det.onnx '
"landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n"
"Applied providers: ['CPUExecutionProvider'], with options: "
"{'CPUExecutionProvider': {}}\n"
'find model: '
'/content/sdw/models/faceswaplab/analysers/models/buffalo_l/det_10g.onnx '
"detection [1, 3, '?', '?'] 127.5 128.0\n"
"Applied providers: ['CPUExecutionProvider'], with options: "
"{'CPUExecutionProvider': {}}\n"
'find model: '
'/content/sdw/models/faceswaplab/analysers/models/buffalo_l/genderage.onnx '
"genderage ['None', 3, 96, 96] 0.0 1.0\n"
"Applied providers: ['CPUExecutionProvider'], with options: "
"{'CPUExecutionProvider': {}}\n"
'find model: '
'/content/sdw/models/faceswaplab/analysers/models/buffalo_l/w600k_r50.onnx '
"recognition ['None', 3, 112, 112] 127.5 127.5\n")
2023-08-06 08:47:23,761 - FaceSwapLab - ERROR - Failed to swap face in postprocess method : This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'], ...)
Traceback (most recent call last):
File "/content/sdw/extensions/sd-webui-faceswaplab/scripts/faceswaplab.py", line 178, in postprocess
swapped_images = swapper.process_images_units(
File "/content/sdw/extensions/sd-webui-faceswaplab/scripts/faceswaplab_swapping/swapper.py", line 777, in process_images_units
swapped = process_image_unit(model, units[0], image, info, force_blend)
File "/content/sdw/extensions/sd-webui-faceswaplab/scripts/faceswaplab_swapping/swapper.py", line 650, in process_image_unit
faces = get_faces(pil_to_cv2(image))
File "/content/sdw/extensions/sd-webui-faceswaplab/scripts/faceswaplab_swapping/swapper.py", line 372, in get_faces
face_analyser = copy.deepcopy(getAnalysisModel())
File "/usr/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/usr/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/usr/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.10/copy.py", line 273, in _reconstruct
y.setstate(state)
File "/usr/local/lib/python3.10/dist-packages/insightface/model_zoo/model_zoo.py", line 33, in setstate
self.init(model_path)
File "/usr/local/lib/python3.10/dist-packages/insightface/model_zoo/model_zoo.py", line 25, in init
super().init(model_path, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 347, in init
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 375, in _create_inference_session
raise ValueError(
ValueError: This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'], ...)
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