ComfyUI Workflow keeps getting AttributeError: 'SDXLClipModel' object has no attribute 'clip_layer' in the Efficient Loader

[c4fun]

Problem to solve

In the ComfyUI workflow, I keep getting this error and cannot run this workflow completely: AttributeError: 'SDXLClipModel' object has no attribute 'clip_layer'

log

model_path is /home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts/lllyasviel/Annotators/ZoeD_M12_N.pt
!!! Exception during processing !!!
Traceback (most recent call last):
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/execution.py", line 151, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/execution.py", line 81, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/execution.py", line 74, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/efficiency_nodes.py", line 172, in efficientloader
    encode_prompts(positive, negative, token_normalization, weight_interpretation, clip, clip_skip,
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/efficiency_nodes.py", line 73, in encode_prompts
    positive_encoded = bnk_adv_encode.AdvancedCLIPTextEncode().encode(clip, positive_prompt, token_normalization, weight_interpretation)[0]
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 288, in encode
    embeddings_final, pooled = advanced_encode(clip, text, token_normalization, weight_interpretation, w_max=1.0,
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 246, in advanced_encode
    embs_l, _ = advanced_encode_from_tokens(tokenized['l'],
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 183, in advanced_encode_from_tokens
    weighted_emb, pooled_base = encode_func(weighted_tokens)
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 249, in <lambda>
    lambda x: encode_token_weights(clip, x, encode_token_weights_l),
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/xxx/code/github.com/comfyanonymous/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 226, in encode_token_weights
    model.cond_stage_model.clip_layer(model.layer_idx)
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/anaconda3/envs/comfyui/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1688, in __getattr__
    raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
AttributeError: 'SDXLClipModel' object has no attribute 'clip_layer'

[c4fun]

Solved it. The Efficient Loader components was too old. It works well after update to https://github.com/jags111/efficiency-nodes-comfyui/tree/1ac5f18

[YoucanBaby]

same error.

Traceback (most recent call last):
  File "/root/data/xyf/personalization/ComfyUI/execution.py", line 151, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
  File "/root/data/xyf/personalization/ComfyUI/execution.py", line 81, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
  File "/root/data/xyf/personalization/ComfyUI/execution.py", line 74, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/efficiency_nodes.py", line 172, in efficientloader
    encode_prompts(positive, negative, token_normalization, weight_interpretation, clip, clip_skip,
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/efficiency_nodes.py", line 73, in encode_prompts
    positive_encoded = bnk_adv_encode.AdvancedCLIPTextEncode().encode(clip, positive_prompt, token_normalization, weight_interpretation)[0]
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 312, in encode
    embeddings_final, pooled = advanced_encode(clip, text, token_normalization, weight_interpretation, w_max=1.0,
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 246, in advanced_encode
    embs_l, _ = advanced_encode_from_tokens(tokenized['l'],
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 183, in advanced_encode_from_tokens
    weighted_emb, pooled_base = encode_func(weighted_tokens)
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 249, in <lambda>
    lambda x: encode_token_weights(clip, x, encode_token_weights_l),
  File "/root/data/xyf/personalization/ComfyUI/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 226, in encode_token_weights
    model.cond_stage_model.clip_layer(model.layer_idx)
  File "/root/miniconda3/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'SDXLClipModel' object has no attribute 'clip_layer'