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Error(s) in loading state_dict for IDEncoder: #110
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i have the same issuie |
the model has to be converted, it doesn't work out of the box |
How might one convert it? I didn't see any steps in the readme. |
I need to take the time to understand the new format |
Understood, keep up the good work. I will do a little more digging myself to see if I can figure out what's going on. |
occur the same issue , any update? |
I used F.1 dev-fp16 GGUF checkpoints, got the same error: |
When i try to run my workflow it gets stuck in the Load PulID Model node. I am using pulid_v1.1.safetensors.
I figured that my model was just corrupt so I downloaded it from the source https://github.com/ToTheBeginning/PuLID but I got the issue again. seems like it's not reading the file right but I don't know what to do about it.
File "C:\Users\y\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 2215, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for IDEncoder: Missing key(s) in state_dict: "body.0.weight", "body.0.bias", "body.1.weight", "body.1.bias", "body.3.weight", "body.3.bias", "body.4.weight", "body.4.bias", "body.6.weight", "body.6.bias", "mapping_0.0.weight", "mapping_0.0.bias", "mapping_0.1.weight", "mapping_0.1.bias", "mapping_0.3.weight", "mapping_0.3.bias", "mapping_0.4.weight", "mapping_0.4.bias", "mapping_0.6.weight", "mapping_0.6.bias", "mapping_patch_0.0.weight", "mapping_patch_0.0.bias", "mapping_patch_0.1.weight", "mapping_patch_0.1.bias", "mapping_patch_0.3.weight", "mapping_patch_0.3.bias", "mapping_patch_0.4.weight", "mapping_patch_0.4.bias", "mapping_patch_0.6.weight", "mapping_patch_0.6.bias", "mapping_1.0.weight", "mapping_1.0.bias", "mapping_1.1.weight", "mapping_1.1.bias", "mapping_1.3.weight", "mapping_1.3.bias", "mapping_1.4.weight", "mapping_1.4.bias", "mapping_1.6.weight", "mapping_1.6.bias", "mapping_patch_1.0.weight", "mapping_patch_1.0.bias", "mapping_patch_1.1.weight", "mapping_patch_1.1.bias", "mapping_patch_1.3.weight", "mapping_patch_1.3.bias", "mapping_patch_1.4.weight", "mapping_patch_1.4.bias", "mapping_patch_1.6.weight", "mapping_patch_1.6.bias", "mapping_2.0.weight", "mapping_2.0.bias", "mapping_2.1.weight", "mapping_2.1.bias", "mapping_2.3.weight", "mapping_2.3.bias", "mapping_2.4.weight", "mapping_2.4.bias", "mapping_2.6.weight", "mapping_2.6.bias", "mapping_patch_2.0.weight", "mapping_patch_2.0.bias", "mapping_patch_2.1.weight", "mapping_patch_2.1.bias", "mapping_patch_2.3.weight", "mapping_patch_2.3.bias", "mapping_patch_2.4.weight", "mapping_patch_2.4.bias", "mapping_patch_2.6.weight", "mapping_patch_2.6.bias", "mapping_3.0.weight", "mapping_3.0.bias", "mapping_3.1.weight", "mapping_3.1.bias", "mapping_3.3.weight", "mapping_3.3.bias", "mapping_3.4.weight", "mapping_3.4.bias", "mapping_3.6.weight", "mapping_3.6.bias", "mapping_patch_3.0.weight", "mapping_patch_3.0.bias", "mapping_patch_3.1.weight", "mapping_patch_3.1.bias", "mapping_patch_3.3.weight", "mapping_patch_3.3.bias", "mapping_patch_3.4.weight", "mapping_patch_3.4.bias", "mapping_patch_3.6.weight", "mapping_patch_3.6.bias", "mapping_4.0.weight", "mapping_4.0.bias", "mapping_4.1.weight", "mapping_4.1.bias", "mapping_4.3.weight", "mapping_4.3.bias", "mapping_4.4.weight", "mapping_4.4.bias", "mapping_4.6.weight", "mapping_4.6.bias", "mapping_patch_4.0.weight", "mapping_patch_4.0.bias", "mapping_patch_4.1.weight", "mapping_patch_4.1.bias", "mapping_patch_4.3.weight", "mapping_patch_4.3.bias", "mapping_patch_4.4.weight", "mapping_patch_4.4.bias", "mapping_patch_4.6.weight", "mapping_patch_4.6.bias".
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