DepthAnythingV2Preprocessor Input type (MPSFloatType) and weight type (torch.FloatTensor) should be the same

[huongng105]

DepthAnythingV2Preprocessor
Input type (MPSFloatType) and weight type (torch.FloatTensor) should be the same

2024-12-18T15:28:27.386212 - # 😺dzNodes: LayerStyle -> �[1;32mBrightness & Contrast Processed 1 image(s).�[m2024-12-18T15:28:27.386329 -
2024-12-18T15:28:27.400495 - # 😺dzNodes: LayerStyle -> �[1;32mBrightness & Contrast Processed 1 image(s).�[m2024-12-18T15:28:27.400581 -
2024-12-18T15:28:32.403894 - model_path is /opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts/depth-anything/Depth-Anything-V2-Large/depth_anything_v2_vitl.pth2024-12-18T15:28:32.404074 -
2024-12-18T15:28:32.406949 - using MLP layer as FFN
2024-12-18T15:28:34.659123 - !!! Exception during processing !!! Input type (MPSFloatType) and weight type (torch.FloatTensor) should be the same
2024-12-18T15:28:34.663847 - Traceback (most recent call last):
File "/opt/anaconda3/envs/ChangeX/ComfyUI/execution.py", line 328, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/execution.py", line 203, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/execution.py", line 174, in _map_node_over_list
process_inputs(input_dict, i)
File "/opt/anaconda3/envs/ChangeX/ComfyUI/execution.py", line 163, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/node_wrappers/depth_anything_v2.py", line 24, in execute
out = common_annotator_call(model, image, resolution=resolution, max_depth=1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/utils.py", line 85, in common_annotator_call
np_result = model(np_image, output_type="np", detect_resolution=detect_resolution, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/init.py", line 44, in call
depth = self.model.infer_image(cv2.cvtColor(input_image, cv2.COLOR_RGB2BGR), input_size=518, max_depth=max_depth)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/dpt.py", line 189, in infer_image
depth = self.forward(image, max_depth)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/dpt.py", line 179, in forward
features = self.pretrained.get_intermediate_layers(x, self.intermediate_layer_idx[self.encoder], return_class_token=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/dinov2.py", line 308, in get_intermediate_layers
outputs = self._get_intermediate_layers_not_chunked(x, n)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/dinov2.py", line 272, in _get_intermediate_layers_not_chunked
x = self.prepare_tokens_with_masks(x)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/dinov2.py", line 214, in prepare_tokens_with_masks
x = self.patch_embed(x)
^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/ComfyUI/custom_nodes/comfyui_controlnet_aux/src/custom_controlnet_aux/depth_anything_v2/dinov2_layers/patch_embed.py", line 76, in forward
x = self.proj(x) # B C H W
^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/nn/modules/conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/ChangeX/lib/python3.12/site-packages/torch/nn/modules/conv.py", line 549, in _conv_forward
return F.conv2d(
^^^^^^^^^
RuntimeError: Input type (MPSFloatType) and weight type (torch.FloatTensor) should be the same

2024-12-18T15:28:34.666136 - Prompt executed in 9.03 seconds