Getting error when trying to use custom cptk or safetensor

[deadp]

Hi I'm trying to use a custom model either within gdrive or when downloaded via url.

This is the output I'm getting

Converting to Diffusers ...
Traceback (most recent call last):
  File "/content/convertodiff.py", line 1115, in <module>
    convert(args)
  File "/content/convertodiff.py", line 1066, in convert
    text_encoder, vae, unet = load_models_from_stable_diffusion_checkpoint(v2_model, args.model_to_load)
  File "/content/convertodiff.py", line 847, 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
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error
Conversion error

Let me know if you need additional info, thx

[TheLastBen]

the architecture of the model is different than the one supported by the conversion script, you need to find the diffusers version of the model

[deadp]

Thanks for your response!

I assume there might be one out there or can I covert them myself?