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fixes for README
I'll bold correct values:
-
place the file from 13 in your controlnet folder like this: C:\Users\pinokio\api\comfyui.git\app\models\controlnet \instantid (you can find the files folder from pinokio by clicking the files
-
place the file from step 15 in your lora folder like: C:\Users\pinokio\api\comfyui.git\app\models\loras
so in 14. you need to place files in C:...\controlnet\instantid - otherwise it will download the model again because it'll say it doesn't see it
in 18. it's file from step 15, not 16
fix for README.md (About 20, 21 step)
- download and extract antelopev2 from here: https://huggingface.co/MonsterMMORPG/tools/resolve/main/antelopev2.zip
- place extracted antelopev2 folder in: C:\Users<YOUR USERNAME>\pinokio\api\comfyui.git\app\models\insightface\models
In my repository, There is no insightface folder.
So i can't continue 21 step.
Thank you, have a nice day dude :)
Error occurred when executing Efficient Loader:'SDXLClipModel' object has no attribute 'set_clip_options'
Excuse me, this issues happened when I running the 'face-to-many', I don't know how to slove this issues. Can you help me. Thank you.
ERROR:root:!!! Exception during processing !!!
ERROR:root:Traceback (most recent call last):
File "C:\Users\XHRLDYD\cog-face-to-many\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\cog-face-to-many\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 "C:\Users\XHRLDYD\AppData\Local\Programs\Python\Python311\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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