shiimizu
I've been in a restart loop trying ways to fix this.
Right now, I've created a fresh install of comfyui. Still running straight into this error.
Now, this isn't the first custom node I've tried to use for faceswap/likeness stuff.
I've tried PuLID, Insightface, InstantID, Roop, Reactor, and just ipadapters... And I can't get a single one of these to friggen actually run, even with a fresh start of ComfyUI.
Error occurred when executing PhotoMakerLoader:
Error(s) in loading state_dict for PhotoMakerIDEncoder: Unexpected key(s) in state_dict: "qformer_perceiver.perceiver_resampler.layers.0.0.norm1.bias", "qformer_perceiver.perceiver_resampler.layers.0.0.norm1.weight", "qformer_perceiver.perceiver_resampler.layers.0.0.norm2.bias", "qformer_perceiver.perceiver_resampler.layers.0.0.norm2.weight", "qformer_perceiver.perceiver_resampler.layers.0.0.to_kv.weight", "qformer_perceiver.perceiver_resampler.layers.0.0.to_out.weight", "qformer_perceiver.perceiver_resampler.layers.0.0.to_q.weight", "qformer_perceiver.perceiver_resampler.layers.0.1.0.bias", "qformer_perceiver.perceiver_resampler.layers.0.1.0.weight", "qformer_perceiver.perceiver_resampler.layers.0.1.1.weight", "qformer_perceiver.perceiver_resampler.layers.0.1.3.weight", "qformer_perceiver.perceiver_resampler.layers.1.0.norm1.bias", "qformer_perceiver.perceiver_resampler.layers.1.0.norm1.weight", "qformer_perceiver.perceiver_resampler.layers.1.0.norm2.bias", "qformer_perceiver.perceiver_resampler.layers.1.0.norm2.weight", "qformer_perceiver.perceiver_resampler.layers.1.0.to_kv.weight", "qformer_perceiver.perceiver_resampler.layers.1.0.to_out.weight", "qformer_perceiver.perceiver_resampler.layers.1.0.to_q.weight", "qformer_perceiver.perceiver_resampler.layers.1.1.0.bias", "qformer_perceiver.perceiver_resampler.layers.1.1.0.weight", "qformer_perceiver.perceiver_resampler.layers.1.1.1.weight", "qformer_perceiver.perceiver_resampler.layers.1.1.3.weight", "qformer_perceiver.perceiver_resampler.layers.2.0.norm1.bias", "qformer_perceiver.perceiver_resampler.layers.2.0.norm1.weight", "qformer_perceiver.perceiver_resampler.layers.2.0.norm2.bias", "qformer_perceiver.perceiver_resampler.layers.2.0.norm2.weight", "qformer_perceiver.perceiver_resampler.layers.2.0.to_kv.weight", "qformer_perceiver.perceiver_resampler.layers.2.0.to_out.weight", "qformer_perceiver.perceiver_resampler.layers.2.0.to_q.weight", "qformer_perceiver.perceiver_resampler.layers.2.1.0.bias", "qformer_perceiver.perceiver_resampler.layers.2.1.0.weight", "qformer_perceiver.perceiver_resampler.layers.2.1.1.weight", "qformer_perceiver.perceiver_resampler.layers.2.1.3.weight", "qformer_perceiver.perceiver_resampler.layers.3.0.norm1.bias", "qformer_perceiver.perceiver_resampler.layers.3.0.norm1.weight", "qformer_perceiver.perceiver_resampler.layers.3.0.norm2.bias", "qformer_perceiver.perceiver_resampler.layers.3.0.norm2.weight", "qformer_perceiver.perceiver_resampler.layers.3.0.to_kv.weight", "qformer_perceiver.perceiver_resampler.layers.3.0.to_out.weight", "qformer_perceiver.perceiver_resampler.layers.3.0.to_q.weight", "qformer_perceiver.perceiver_resampler.layers.3.1.0.bias", "qformer_perceiver.perceiver_resampler.layers.3.1.0.weight", "qformer_perceiver.perceiver_resampler.layers.3.1.1.weight", "qformer_perceiver.perceiver_resampler.layers.3.1.3.weight", "qformer_perceiver.perceiver_resampler.norm_out.bias", "qformer_perceiver.perceiver_resampler.norm_out.weight", "qformer_perceiver.perceiver_resampler.proj_in.bias", "qformer_perceiver.perceiver_resampler.proj_in.weight", "qformer_perceiver.perceiver_resampler.proj_out.bias", "qformer_perceiver.perceiver_resampler.proj_out.weight", "qformer_perceiver.token_norm.bias", "qformer_perceiver.token_norm.weight", "qformer_perceiver.token_proj.0.bias", "qformer_perceiver.token_proj.0.weight", "qformer_perceiver.token_proj.2.bias", "qformer_perceiver.token_proj.2.weight".
File "E:\00000-Comfy-H5\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\00000-Comfy-H5\ComfyUI\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\00000-Comfy-H5\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\00000-Comfy-H5\ComfyUI\comfy_extras\nodes_photomaker.py", line 134, in load_photomaker_model photomaker_model.load_state_dict(data) File "E:\00000-Comfy-H5\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 2189, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
There are similar looking built-in ComfyUI PhotoMaker nodes. Make sure you're using the ones from this repo.
