'SDXLClipModel' object has no attribute 'clip_layer'

[Moroz-jpeg]

I'm trying to run it locally but I'm getting an error. Please help me, where I made a mistake 😢

Error occurred when executing Efficient Loader:

'SDXLClipModel' object has no attribute 'clip_layer'

File "E:\GENERATIVE\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\py\bnk_adv_encode.py", line 249, in
lambda x: encode_token_weights(clip, x, encode_token_weights_l),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\GENERATIVE\ComfyUI_windows_portable\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 "E:\GENERATIVE\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1688, in getattr
raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")

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