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does the custom model have a diffusers version in huggingface ? |
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I have this problem, I can't use an existing template. Does anyone have a solution?
(link https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb#scrollTo=qEsNHTtVlbkV)
Converting to Diffusers ...
Traceback (most recent call last):
File "/content/convertodiff.py", line 1130, in
convert(args)
File "/content/convertodiff.py", line 1081, in convert
text_encoder, vae, unet = load_models_from_stable_diffusion_checkpoint(v2_model, args.model_to_load)
File "/content/convertodiff.py", line 846, in load_models_from_stable_diffusion_checkpoint
info = unet.load_state_dict(converted_unet_checkpoint)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1671, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for UNet2DConditionModel:
Missing key(s) in state_dict: "up_blocks.0.upsamplers.0.conv.weight", "up_blocks.0.upsamplers.0.conv.bias", "up_blocks.1.upsamplers.0.conv.weight", "up_blocks.1.upsamplers.0.conv.bias", "up_blocks.2.upsamplers.0.conv.weight", "up_blocks.2.upsamplers.0.conv.bias".
Unexpected key(s) in state_dict: "up_blocks.0.attentions.2.conv.bias", "up_blocks.0.attentions.2.conv.weight".
rm: cannot remove '/content/stable-diffusion-custom': No such file or directory
Conversion error
Conversion error
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