Error(s) in loading state_dict for IDEncoder: Missing key(s) in state_dict: "body.0.weight"

[walterFeng]

An error occurred while loading 'pulid_flux_v0.9.0.safetensors' using the 'Load PuLID Model' node. The following is the error log, can you provide any suggestions?

• workflow
  error.json

• logs

got prompt
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: /home/vipuser/ComfyUI/models/insightface/models/antelopev2/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: /home/vipuser/ComfyUI/models/insightface/models/antelopev2/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: /home/vipuser/ComfyUI/models/insightface/models/antelopev2/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: /home/vipuser/ComfyUI/models/insightface/models/antelopev2/glintr100.onnx recognition ['None', 3, 112, 112] 127.5 127.5
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: /home/vipuser/ComfyUI/models/insightface/models/antelopev2/scrfd_10g_bnkps.onnx detection [1, 3, '?', '?'] 127.5 128.0
set det-size: (640, 640)
!!! Exception during processing !!! Error(s) in loading state_dict for IDEncoder:
Missing key(s) in state_dict: "body.0.weight", "body.0.bias", "body.1.weight", "body.1.bias", "body.3.weight", "body.3.bias", "body.4.weight", "body.4.bias", "body.6.weight", "body.6.bias", "mapping_0.0.weight", "mapping_0.0.bias", "mapping_0.1.weight", "mapping_0.1.bias", "mapping_0.3.weight", "mapping_0.3.bias", "mapping_0.4.weight", "mapping_0.4.bias", "mapping_0.6.weight", "mapping_0.6.bias", "mapping_patch_0.0.weight", "mapping_patch_0.0.bias", "mapping_patch_0.1.weight", "mapping_patch_0.1.bias", "mapping_patch_0.3.weight", "mapping_patch_0.3.bias", "mapping_patch_0.4.weight", "mapping_patch_0.4.bias", "mapping_patch_0.6.weight", "mapping_patch_0.6.bias", "mapping_1.0.weight", "mapping_1.0.bias", "mapping_1.1.weight", "mapping_1.1.bias", "mapping_1.3.weight", "mapping_1.3.bias", "mapping_1.4.weight", "mapping_1.4.bias", "mapping_1.6.weight", "mapping_1.6.bias", "mapping_patch_1.0.weight", "mapping_patch_1.0.bias", "mapping_patch_1.1.weight", "mapping_patch_1.1.bias", "mapping_patch_1.3.weight", "mapping_patch_1.3.bias", "mapping_patch_1.4.weight", "mapping_patch_1.4.bias", "mapping_patch_1.6.weight", "mapping_patch_1.6.bias", "mapping_2.0.weight", "mapping_2.0.bias", "mapping_2.1.weight", "mapping_2.1.bias", "mapping_2.3.weight", "mapping_2.3.bias", "mapping_2.4.weight", "mapping_2.4.bias", "mapping_2.6.weight", "mapping_2.6.bias", "mapping_patch_2.0.weight", "mapping_patch_2.0.bias", "mapping_patch_2.1.weight", "mapping_patch_2.1.bias", "mapping_patch_2.3.weight", "mapping_patch_2.3.bias", "mapping_patch_2.4.weight", "mapping_patch_2.4.bias", "mapping_patch_2.6.weight", "mapping_patch_2.6.bias", "mapping_3.0.weight", "mapping_3.0.bias", "mapping_3.1.weight", "mapping_3.1.bias", "mapping_3.3.weight", "mapping_3.3.bias", "mapping_3.4.weight", "mapping_3.4.bias", "mapping_3.6.weight", "mapping_3.6.bias", "mapping_patch_3.0.weight", "mapping_patch_3.0.bias", "mapping_patch_3.1.weight", "mapping_patch_3.1.bias", "mapping_patch_3.3.weight", "mapping_patch_3.3.bias", "mapping_patch_3.4.weight", "mapping_patch_3.4.bias", "mapping_patch_3.6.weight", "mapping_patch_3.6.bias", "mapping_4.0.weight", "mapping_4.0.bias", "mapping_4.1.weight", "mapping_4.1.bias", "mapping_4.3.weight", "mapping_4.3.bias", "mapping_4.4.weight", "mapping_4.4.bias", "mapping_4.6.weight", "mapping_4.6.bias", "mapping_patch_4.0.weight", "mapping_patch_4.0.bias", "mapping_patch_4.1.weight", "mapping_patch_4.1.bias", "mapping_patch_4.3.weight", "mapping_patch_4.3.bias", "mapping_patch_4.4.weight", "mapping_patch_4.4.bias", "mapping_patch_4.6.weight", "mapping_patch_4.6.bias".
Traceback (most recent call last):
File "/home/vipuser/ComfyUI/execution.py", line 323, 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 "/home/vipuser/ComfyUI/execution.py", line 198, 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 "/home/vipuser/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "/home/vipuser/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "/home/vipuser/ComfyUI/custom_nodes/PuLID_ComfyUI/pulid.py", line 222, in load_model
model = PulidModel(model)
File "/home/vipuser/ComfyUI/custom_nodes/PuLID_ComfyUI/pulid.py", line 33, in init
self.image_proj_model.load_state_dict(model["image_proj"])
File "/home/vipuser/anaconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2215, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for IDEncoder:
Missing key(s) in state_dict: "body.0.weight", "body.0.bias", "body.1.weight", "body.1.bias", "body.3.weight", "body.3.bias", "body.4.weight", "body.4.bias", "body.6.weight", "body.6.bias", "mapping_0.0.weight", "mapping_0.0.bias", "mapping_0.1.weight", "mapping_0.1.bias", "mapping_0.3.weight", "mapping_0.3.bias", "mapping_0.4.weight", "mapping_0.4.bias", "mapping_0.6.weight", "mapping_0.6.bias", "mapping_patch_0.0.weight", "mapping_patch_0.0.bias", "mapping_patch_0.1.weight", "mapping_patch_0.1.bias", "mapping_patch_0.3.weight", "mapping_patch_0.3.bias", "mapping_patch_0.4.weight", "mapping_patch_0.4.bias", "mapping_patch_0.6.weight", "mapping_patch_0.6.bias", "mapping_1.0.weight", "mapping_1.0.bias", "mapping_1.1.weight", "mapping_1.1.bias", "mapping_1.3.weight", "mapping_1.3.bias", "mapping_1.4.weight", "mapping_1.4.bias", "mapping_1.6.weight", "mapping_1.6.bias", "mapping_patch_1.0.weight", "mapping_patch_1.0.bias", "mapping_patch_1.1.weight", "mapping_patch_1.1.bias", "mapping_patch_1.3.weight", "mapping_patch_1.3.bias", "mapping_patch_1.4.weight", "mapping_patch_1.4.bias", "mapping_patch_1.6.weight", "mapping_patch_1.6.bias", "mapping_2.0.weight", "mapping_2.0.bias", "mapping_2.1.weight", "mapping_2.1.bias", "mapping_2.3.weight", "mapping_2.3.bias", "mapping_2.4.weight", "mapping_2.4.bias", "mapping_2.6.weight", "mapping_2.6.bias", "mapping_patch_2.0.weight", "mapping_patch_2.0.bias", "mapping_patch_2.1.weight", "mapping_patch_2.1.bias", "mapping_patch_2.3.weight", "mapping_patch_2.3.bias", "mapping_patch_2.4.weight", "mapping_patch_2.4.bias", "mapping_patch_2.6.weight", "mapping_patch_2.6.bias", "mapping_3.0.weight", "mapping_3.0.bias", "mapping_3.1.weight", "mapping_3.1.bias", "mapping_3.3.weight", "mapping_3.3.bias", "mapping_3.4.weight", "mapping_3.4.bias", "mapping_3.6.weight", "mapping_3.6.bias", "mapping_patch_3.0.weight", "mapping_patch_3.0.bias", "mapping_patch_3.1.weight", "mapping_patch_3.1.bias", "mapping_patch_3.3.weight", "mapping_patch_3.3.bias", "mapping_patch_3.4.weight", "mapping_patch_3.4.bias", "mapping_patch_3.6.weight", "mapping_patch_3.6.bias", "mapping_4.0.weight", "mapping_4.0.bias", "mapping_4.1.weight", "mapping_4.1.bias", "mapping_4.3.weight", "mapping_4.3.bias", "mapping_4.4.weight", "mapping_4.4.bias", "mapping_4.6.weight", "mapping_4.6.bias", "mapping_patch_4.0.weight", "mapping_patch_4.0.bias", "mapping_patch_4.1.weight", "mapping_patch_4.1.bias", "mapping_patch_4.3.weight", "mapping_patch_4.3.bias", "mapping_patch_4.4.weight", "mapping_patch_4.4.bias", "mapping_patch_4.6.weight", "mapping_patch_4.6.bias".

Prompt executed in 4.24 seconds