Error occurred when executing Eff. Loader SDXL: 'SDXLClipModel' object has no attribute 'set_clip_options'

[somebush]

I downloaded and ran your workflow Panorama ENV Generator.json. I used the same checkpoints models. I removed the SeargeSDXLSampler node because after clicking the "Install Missing Custome Nodes" button in ComfyUI Manager, I get the error:

When loading the graph, the following node types were not found: 

    SeargeSDXLSampler

Nodes that have failed to load will show as red on the graph.

and I decided to try to launch workflow without this node.

After loading the models and the loras, I received an error during the execution of the Eff node. Loader SDXL:

Error occurred when executing Eff. Loader SDXL:

'SDXLClipModel' object has no attribute 'set_clip_options'

  File "f:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 153, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
  File "f:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 83, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
  File "f:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 76, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
  File "F:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 236, in efficientloaderSDXL
    return super().efficientloader(base_ckpt_name, vae_name, clip_skip, lora_name, lora_model_strength, lora_clip_strength,
  File "F:\AI\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 "F:\AI\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 "F:\AI\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 "F:\AI\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 "F:\AI\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 "F:\AI\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 "F:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\py\bnk_adv_encode.py", line 226, in encode_token_weights
    model.cond_stage_model.set_clip_options({"layer": model.layer_idx})
  File "f:\AI\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1695, in __getattr__
    raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")