pulid_v1.1 model cannot work

[Amazon90]

https://huggingface.co/guozinan/PuLID/blob/main/pulid_v1.1.safetensors

ComfyUI Error Report

Error Details

• Node ID: 8
• Node Type: ApplyEcomIDAdvanced
• Exception Type: RuntimeError
• Exception Message: 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".

Stack Trace

  File "D:\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 "D:\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 "D:\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)

  File "D:\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "D:\ComfyUI\custom_nodes\SDXL_EcomID_ComfyUI\EcomID.py", line 453, in apply_EcomID
    pulid_model = PulidModel(pulid).to(device, dtype=dtype)
                  ^^^^^^^^^^^^^^^^^

  File "D:\ComfyUI\custom_nodes\SDXL_EcomID_ComfyUI\EcomID.py", line 54, in __init__
    self.image_proj_model.load_state_dict(model["image_proj"])

  File "D:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 2584, in load_state_dict
    raise RuntimeError(

System Information

• ComfyUI Version: v0.3.4
• Arguments: D:\ComfyUI\main.py --auto-launch --preview-method auto --disable-cuda-malloc --fast
• OS: nt
• Python Version: 3.12.7 (tags/v3.12.7:0b05ead, Oct 1 2024, 03:06:41) [MSC v.1941 64 bit (AMD64)]
• Embedded Python: false
• PyTorch Version: 2.5.1+cu124

Devices

• Name: cuda:0 NVIDIA GeForce RTX 4070 Ti : cudaMallocAsync
  • Type: cuda
  • VRAM Total: 12878086144
  • VRAM Free: 5204307086
  • Torch VRAM Total: 5301600256
  • Torch VRAM Free: 66284686

[xuhongming251]

https://huggingface.co/Runzy/ip-adapter_pulid/blob/main/ip-adapter_pulidv1.1_sdxl_fp16.safetensors

Error Details

• Node Type: ApplyEcomIDAdvanced
• Exception Type: RuntimeError
• Exception Message: 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_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_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_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_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_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".
  Unexpected key(s) in state_dict: "id_embedding_mapping.0.bias", "id_embedding_mapping.0.weight", "id_embedding_mapping.1.bias", "id_embedding_mapping.1.weight", "id_embedding_mapping.3.bias", "id_embedding_mapping.3.weight", "id_embedding_mapping.4.bias", "id_embedding_mapping.4.weight", "id_embedding_mapping.6.bias", "id_embedding_mapping.6.weight", "latents", "layers.0.0.norm1.bias", "layers.0.0.norm1.weight", "layers.0.0.norm2.bias", "layers.0.0.norm2.weight", "layers.0.0.to_kv.weight", "layers.0.0.to_out.weight", "layers.0.0.to_q.weight", "layers.0.1.0.bias", "layers.0.1.0.weight", "layers.0.1.1.weight", "layers.0.1.3.weight", "layers.1.0.norm1.bias", "layers.1.0.norm1.weight", "layers.1.0.norm2.bias", "layers.1.0.norm2.weight", "layers.1.0.to_kv.weight", "layers.1.0.to_out.weight", "layers.1.0.to_q.weight", "layers.1.1.0.bias", "layers.1.1.0.weight", "layers.1.1.1.weight", "layers.1.1.3.weight", "layers.2.0.norm1.bias", "layers.2.0.norm1.weight", "layers.2.0.norm2.bias", "layers.2.0.norm2.weight", "layers.2.0.to_kv.weight", "layers.2.0.to_out.weight", "layers.2.0.to_q.weight", "layers.2.1.0.bias", "layers.2.1.0.weight", "layers.2.1.1.weight", "layers.2.1.3.weight", "layers.3.0.norm1.bias", "layers.3.0.norm1.weight", "layers.3.0.norm2.bias", "layers.3.0.norm2.weight", "layers.3.0.to_kv.weight", "layers.3.0.to_out.weight", "layers.3.0.to_q.weight", "layers.3.1.0.bias", "layers.3.1.0.weight", "layers.3.1.1.weight", "layers.3.1.3.weight", "layers.4.0.norm1.bias", "layers.4.0.norm1.weight", "layers.4.0.norm2.bias", "layers.4.0.norm2.weight", "layers.4.0.to_kv.weight", "layers.4.0.to_out.weight", "layers.4.0.to_q.weight", "layers.4.1.0.bias", "layers.4.1.0.weight", "layers.4.1.1.weight", "layers.4.1.3.weight", "layers.5.0.norm1.bias", "layers.5.0.norm1.weight", "layers.5.0.norm2.bias", "layers.5.0.norm2.weight", "layers.5.0.to_kv.weight", "layers.5.0.to_out.weight", "layers.5.0.to_q.weight", "layers.5.1.0.bias", "layers.5.1.0.weight", "layers.5.1.1.weight", "layers.5.1.3.weight", "layers.6.0.norm1.bias", "layers.6.0.norm1.weight", "layers.6.0.norm2.bias", "layers.6.0.norm2.weight", "layers.6.0.to_kv.weight", "layers.6.0.to_out.weight", "layers.6.0.to_q.weight", "layers.6.1.0.bias", "layers.6.1.0.weight", "layers.6.1.1.weight", "layers.6.1.3.weight", "layers.7.0.norm1.bias", "layers.7.0.norm1.weight", "layers.7.0.norm2.bias", "layers.7.0.norm2.weight", "layers.7.0.to_kv.weight", "layers.7.0.to_out.weight", "layers.7.0.to_q.weight", "layers.7.1.0.bias", "layers.7.1.0.weight", "layers.7.1.1.weight", "layers.7.1.3.weight", "layers.8.0.norm1.bias", "layers.8.0.norm1.weight", "layers.8.0.norm2.bias", "layers.8.0.norm2.weight", "layers.8.0.to_kv.weight", "layers.8.0.to_out.weight", "layers.8.0.to_q.weight", "layers.8.1.0.bias", "layers.8.1.0.weight", "layers.8.1.1.weight", "layers.8.1.3.weight", "layers.9.0.norm1.bias", "layers.9.0.norm1.weight", "layers.9.0.norm2.bias", "layers.9.0.norm2.weight", "layers.9.0.to_kv.weight", "layers.9.0.to_out.weight", "layers.9.0.to_q.weight", "layers.9.1.0.bias", "layers.9.1.0.weight", "layers.9.1.1.weight", "layers.9.1.3.weight", "proj_out".
  size mismatch for mapping_0.6.weight: copying a param with shape torch.Size([1024, 1024]) from checkpoint, the shape in current model is torch.Size([2048, 1024]).
  size mismatch for mapping_0.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
  size mismatch for mapping_1.6.weight: copying a param with shape torch.Size([1024, 1024]) from checkpoint, the shape in current model is torch.Size([2048, 1024]).
  size mismatch for mapping_1.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
  size mismatch for mapping_2.6.weight: copying a param with shape torch.Size([1024, 1024]) from checkpoint, the shape in current model is torch.Size([2048, 1024]).
  size mismatch for mapping_2.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
  size mismatch for mapping_3.6.weight: copying a param with shape torch.Size([1024, 1024]) from checkpoint, the shape in current model is torch.Size([2048, 1024]).
  size mismatch for mapping_3.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
  size mismatch for mapping_4.6.weight: copying a param with shape torch.Size([1024, 1024]) from checkpoint, the shape in current model is torch.Size([2048, 1024]).
  size mismatch for mapping_4.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).

Stack Trace

  File "/modeldata/sd/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 "/modeldata/sd/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 "/modeldata/sd/ComfyUI/execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)

  File "/modeldata/sd/ComfyUI/execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/modeldata/sd/ComfyUI/custom_nodes/SDXL_EcomID_ComfyUI/EcomID.py", line 453, in apply_EcomID
    pulid_model = PulidModel(pulid).to(device, dtype=dtype)
                  ^^^^^^^^^^^^^^^^^

  File "/modeldata/sd/ComfyUI/custom_nodes/SDXL_EcomID_ComfyUI/EcomID.py", line 54, in __init__
    self.image_proj_model.load_state_dict(model["image_proj"])

  File "/usr/local/lib/python3.11/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(