We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for Adapter: Missing key(s) in state_dict: "body.0.block1.weight", "body.0.block1.bias", "body.0.block2.weight", "body.0.block2.bias", "body.1.block1.weight", "body.1.block1.bias", "body.1.block2.weight", "body.1.block2.bias", "body.2.in_conv.weight", "body.2.in_conv.bias", "body.2.block1.weight", "body.2.block1.bias", "body.2.block2.weight", "body.2.block2.bias", "body.3.block1.weight", "body.3.block1.bias", "body.3.block2.weight", "body.3.block2.bias", "body.4.in_conv.weight", "body.4.in_conv.bias", "body.4.block1.weight", "body.4.block1.bias", "body.4.block2.weight", "body.4.block2.bias", "body.5.block1.weight", "body.5.block1.bias", "body.5.block2.weight", "body.5.block2.bias", "body.6.block1.weight", "body.6.block1.bias", "body.6.block2.weight", "body.6.block2.bias", "body.7.block1.weight", "body.7.block1.bias", "body.7.block2.weight", "body.7.block2.bias", "conv_in.weight", "conv_in.bias". Unexpected key(s) in state_dict: "ln_post.bias", "ln_post.weight", "ln_pre.bias", "ln_pre.weight", "proj", "style_embedding", "transformer_layes.0.attn.in_proj_bias", "transformer_layes.0.attn.in_proj_weight", "transformer_layes.0.attn.out_proj.bias", "transformer_layes.0.attn.out_proj.weight", "transformer_layes.0.ln_1.bias", "transformer_layes.0.ln_1.weight", "transformer_layes.0.ln_2.bias", "transformer_layes.0.ln_2.weight", "transformer_layes.0.mlp.c_fc.bias", "transformer_layes.0.mlp.c_fc.weight", "transformer_layes.0.mlp.c_proj.bias", "transformer_layes.0.mlp.c_proj.weight", "transformer_layes.1.attn.in_proj_bias", "transformer_layes.1.attn.in_proj_weight", "transformer_layes.1.attn.out_proj.bias", "transformer_layes.1.attn.out_proj.weight", "transformer_layes.1.ln_1.bias", "transformer_layes.1.ln_1.weight", "transformer_layes.1.ln_2.bias", "transformer_layes.1.ln_2.weight", "transformer_layes.1.mlp.c_fc.bias", "transformer_layes.1.mlp.c_fc.weight", "transformer_layes.1.mlp.c_proj.bias", "transformer_layes.1.mlp.c_proj.weight", "transformer_layes.2.attn.in_proj_bias", "transformer_layes.2.attn.in_proj_weight", "transformer_layes.2.attn.out_proj.bias", "transformer_layes.2.attn.out_proj.weight", "transformer_layes.2.ln_1.bias", "transformer_layes.2.ln_1.weight", "transformer_layes.2.ln_2.bias", "transformer_layes.2.ln_2.weight", "transformer_layes.2.mlp.c_fc.bias", "transformer_layes.2.mlp.c_fc.weight", "transformer_layes.2.mlp.c_proj.bias", "transformer_layes.2.mlp.c_proj.weight".
The text was updated successfully, but these errors were encountered:
are you using the default 1.5 or a custom model ?
Sorry, something went wrong.
I have same issue but on AUTOMATIC1111/stable-diffusion-webui
same issue. i tried this and now it doesnt give error but still generated image irrelevant. still broken. How can i check s.diff launch options on colab so i can test further. @TheLastBen Mikubill/sd-webui-controlnet#547 (comment) lllyasviel/ControlNet#255
No branches or pull requests
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Adapter:
Missing key(s) in state_dict: "body.0.block1.weight", "body.0.block1.bias", "body.0.block2.weight", "body.0.block2.bias", "body.1.block1.weight", "body.1.block1.bias", "body.1.block2.weight", "body.1.block2.bias", "body.2.in_conv.weight", "body.2.in_conv.bias", "body.2.block1.weight", "body.2.block1.bias", "body.2.block2.weight", "body.2.block2.bias", "body.3.block1.weight", "body.3.block1.bias", "body.3.block2.weight", "body.3.block2.bias", "body.4.in_conv.weight", "body.4.in_conv.bias", "body.4.block1.weight", "body.4.block1.bias", "body.4.block2.weight", "body.4.block2.bias", "body.5.block1.weight", "body.5.block1.bias", "body.5.block2.weight", "body.5.block2.bias", "body.6.block1.weight", "body.6.block1.bias", "body.6.block2.weight", "body.6.block2.bias", "body.7.block1.weight", "body.7.block1.bias", "body.7.block2.weight", "body.7.block2.bias", "conv_in.weight", "conv_in.bias".
Unexpected key(s) in state_dict: "ln_post.bias", "ln_post.weight", "ln_pre.bias", "ln_pre.weight", "proj", "style_embedding", "transformer_layes.0.attn.in_proj_bias", "transformer_layes.0.attn.in_proj_weight", "transformer_layes.0.attn.out_proj.bias", "transformer_layes.0.attn.out_proj.weight", "transformer_layes.0.ln_1.bias", "transformer_layes.0.ln_1.weight", "transformer_layes.0.ln_2.bias", "transformer_layes.0.ln_2.weight", "transformer_layes.0.mlp.c_fc.bias", "transformer_layes.0.mlp.c_fc.weight", "transformer_layes.0.mlp.c_proj.bias", "transformer_layes.0.mlp.c_proj.weight", "transformer_layes.1.attn.in_proj_bias", "transformer_layes.1.attn.in_proj_weight", "transformer_layes.1.attn.out_proj.bias", "transformer_layes.1.attn.out_proj.weight", "transformer_layes.1.ln_1.bias", "transformer_layes.1.ln_1.weight", "transformer_layes.1.ln_2.bias", "transformer_layes.1.ln_2.weight", "transformer_layes.1.mlp.c_fc.bias", "transformer_layes.1.mlp.c_fc.weight", "transformer_layes.1.mlp.c_proj.bias", "transformer_layes.1.mlp.c_proj.weight", "transformer_layes.2.attn.in_proj_bias", "transformer_layes.2.attn.in_proj_weight", "transformer_layes.2.attn.out_proj.bias", "transformer_layes.2.attn.out_proj.weight", "transformer_layes.2.ln_1.bias", "transformer_layes.2.ln_1.weight", "transformer_layes.2.ln_2.bias", "transformer_layes.2.ln_2.weight", "transformer_layes.2.mlp.c_fc.bias", "transformer_layes.2.mlp.c_fc.weight", "transformer_layes.2.mlp.c_proj.bias", "transformer_layes.2.mlp.c_proj.weight".
The text was updated successfully, but these errors were encountered: