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I believe this happens when you're running on CPU instead of GPU.
Try adding --no-half to the parameters. If that doesn't work edit PhotoMakerNode.py and change all occurrences of fp16 to fp32 and all float16 to float32.
Error occurred when executing NEW_PhotoMaker_Generation:
"LayerNormKernelImpl" not implemented for 'Half'
File "D:\Ai\SD-N\ComfyUI\execution.py", line 155, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI\execution.py", line 85, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI\execution.py", line 78, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI\custom_nodes\ComfyUI-PhotoMaker\PhotoMakerNode.py", line 396, in generate_image
output = pipe(
^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI\custom_nodes\ComfyUI-PhotoMaker\pipeline.py", line 336, in call
) = self.encode_prompt_with_trigger_word(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI\custom_nodes\ComfyUI-PhotoMaker\pipeline.py", line 202, in encode_prompt_with_trigger_word
prompt_embeds = text_encoder(
^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\transformers\models\clip\modeling_clip.py", line 798, in forward
return self.text_model(
^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\transformers\models\clip\modeling_clip.py", line 703, in forward
encoder_outputs = self.encoder(
^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\transformers\models\clip\modeling_clip.py", line 630, in forward
layer_outputs = encoder_layer(
^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\transformers\models\clip\modeling_clip.py", line 371, in forward
hidden_states = self.layer_norm1(hidden_states)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\modules\normalization.py", line 190, in forward
return F.layer_norm(
^^^^^^^^^^^^^
File "D:\Ai\SD-N\ComfyUI.ext\Lib\site-packages\torch\nn\functional.py", line 2515, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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