The main_ddpir_sisr.py script encounters an error when attempting to load the ffhq_10m model.
Closed this issue · 4 comments
RuntimeError: Error(s) in loading state_dict for UNetModel:
Missing key(s) in state_dict: "input_blocks.7.0.skip_connection.weight", "input_blocks.7.0.skip_connection.bias", "input_blocks.10.1.norm.weight", "input_blocks.10.1.norm.bias", "input_blocks.10.1.qkv.weight", "input_blocks.10.1.qkv.bias", "input_blocks.10.1.proj_out.weight", "input_blocks.10.1.proj_out.bias", "input_blocks.11.1.norm.weight", "input_blocks.11.1.norm.bias", "input_blocks.11.1.qkv.weight", "input_blocks.11.1.qkv.bias", "input_blocks.11.1.proj_out.weight", "input_blocks.11.1.proj_out.bias", "input_blocks.12.0.in_layers.0.weight", "input_blocks.12.0.in_layers.0.bias", "input_blocks.12.0.in_layers.2.weight", "input_blocks.12.0.in_layers.2.bias", "input_blocks.12.0.emb_layers.1.weight", "input_blocks.12.0.emb_layers.1.bias", "input_blocks.12.0.out_layers.0.weight", "input_blocks.12.0.out_layers.0.bias", "input_blocks.12.0.out_layers.3.weight", "input_blocks.12.0.out_layers.3.bias", "input_blocks.13.0.in_layers.0.weight", "input_blocks.13.0.in_layers.0.bias", "input_blocks.13.0.in_layers.2.weight", "input_blocks.13.0.in_layers.2.bias", "input_blocks.13.0.emb_layers.1.weight", "input_blocks.13.0.emb_layers.1.bias", "input_blocks.13.0.out_layers.0.weight", "input_blocks.13.0.out_layers.0.bias", "input_blocks.13.0.out_layers.3.weight", "input_blocks.13.0.out_layers.3.bias", "input_blocks.13.0.skip_connection.weight", "input_blocks.13.0.skip_connection.bias", "input_blocks.13.1.norm.weight", "input_blocks.13.1.norm.bias", "input_blocks.13.1.qkv.weight", "input_blocks.13.1.qkv.bias", "input_blocks.13.1.proj_out.weight", "input_blocks.13.1.proj_out.bias", "input_blocks.14.0.in_layers.0.weight", "input_blocks.14.0.in_layers.0.bias", "input_blocks.14.0.in_layers.2.weight", "input_blocks.14.0.in_layers.2.bias", "input_blocks.14.0.emb_layers.1.weight", "input_blocks.14.0.emb_layers.1.bias", "input_blocks.14.0.out_layers.0.weight", "input_blocks.14.0.out_layers.0.bias", "input_blocks.14.0.out_layers.3.weight", "input_blocks.14.0.out_layers.3.bias", "input_blocks.14.1.norm.weight", "input_blocks.14.1.norm.bias", "input_blocks.14.1.qkv.weight", "input_blocks.14.1.qkv.bias", "input_blocks.14.1.proj_out.weight", "input_blocks.14.1.proj_out.bias", "input_blocks.15.0.in_layers.0.weight", "input_blocks.15.0.in_layers.0.bias", "input_blocks.15.0.in_layers.2.weight", "input_blocks.15.0.in_layers.2.bias", "input_blocks.15.0.emb_layers.1.weight", "input_blocks.15.0.emb_layers.1.bias", "input_blocks.15.0.out_layers.0.weight", "input_blocks.15.0.out_layers.0.bias", "input_blocks.15.0.out_layers.3.weight", "input_blocks.15.0.out_layers.3.bias", "input_blocks.16.0.in_layers.0.weight", "input_blocks.16.0.in_layers.0.bias", "input_blocks.16.0.in_layers.2.weight", "input_blocks.16.0.in_layers.2.bias", "input_blocks.16.0.emb_layers.1.weight", "input_blocks.16.0.emb_layers.1.bias", "input_blocks.16.0.out_layers.0.weight", "input_blocks.16.0.out_layers.0.bias", "input_blocks.16.0.out_layers.3.weight", "input_blocks.16.0.out_layers.3.bias", "input_blocks.16.1.norm.weight", "input_blocks.16.1.norm.bias", "input_blocks.16.1.qkv.weight", "input_blocks.16.1.qkv.bias", "input_blocks.16.1.proj_out.weight", "input_blocks.16.1.proj_out.bias", "input_blocks.17.0.in_layers.0.weight", "input_blocks.17.0.in_layers.0.bias", "input_blocks.17.0.in_layers.2.weight", "input_blocks.17.0.in_layers.2.bias", "input_blocks.17.0.emb_layers.1.weight", "input_blocks.17.0.emb_layers.1.bias", "input_blocks.17.0.out_layers.0.weight", "input_blocks.17.0.out_layers.0.bias", "input_blocks.17.0.out_layers.3.weight", "input_blocks.17.0.out_layers.3.bias", "input_blocks.17.1.norm.weight", "input_blocks.17.1.norm.bias", "input_blocks.17.1.qkv.weight", "input_blocks.17.1.qkv.bias", "input_blocks.17.1.proj_out.weight", "input_blocks.17.1.proj_out.bias", "output_blocks.0.1.norm.weight", "output_blocks.0.1.norm.bias", "output_blocks.0.1.qkv.weight", "output_blocks.0.1.qkv.bias", "output_blocks.0.1.proj_out.weight", "output_blocks.0.1.proj_out.bias", "output_blocks.1.1.norm.weight", "output_blocks.1.1.norm.bias", "output_blocks.1.1.qkv.weight", "output_blocks.1.1.qkv.bias", "output_blocks.1.1.proj_out.weight", "output_blocks.1.1.proj_out.bias", "output_blocks.2.2.in_layers.0.weight", "output_blocks.2.2.in_layers.0.bias", "output_blocks.2.2.in_layers.2.weight", "output_blocks.2.2.in_layers.2.bias", "output_blocks.2.2.emb_layers.1.weight", "output_blocks.2.2.emb_layers.1.bias", "output_blocks.2.2.out_layers.0.weight", "output_blocks.2.2.out_layers.0.bias", "output_blocks.2.2.out_layers.3.weight", "output_blocks.2.2.out_layers.3.bias", "output_blocks.4.1.norm.weight", "output_blocks.4.1.norm.bias", "output_blocks.4.1.qkv.weight", "output_blocks.4.1.qkv.bias", "output_blocks.4.1.proj_out.weight", "output_blocks.4.1.proj_out.bias", "output_blocks.5.1.norm.weight", "output_blocks.5.1.norm.bias", "output_blocks.5.1.qkv.weight", "output_blocks.5.1.qkv.bias", "output_blocks.5.1.proj_out.weight", "output_blocks.5.1.proj_out.bias", "output_blocks.5.2.in_layers.0.weight", "output_blocks.5.2.in_layers.0.bias", "output_blocks.5.2.in_layers.2.weight", "output_blocks.5.2.in_layers.2.bias", "output_blocks.5.2.emb_layers.1.weight", "output_blocks.5.2.emb_layers.1.bias", "output_blocks.5.2.out_layers.0.weight", "output_blocks.5.2.out_layers.0.bias", "output_blocks.5.2.out_layers.3.weight", "output_blocks.5.2.out_layers.3.bias", "output_blocks.6.1.norm.weight", "output_blocks.6.1.norm.bias", "output_blocks.6.1.qkv.weight", "output_blocks.6.1.qkv.bias", "output_blocks.6.1.proj_out.weight", "output_blocks.6.1.proj_out.bias", "output_blocks.7.1.norm.weight", "output_blocks.7.1.norm.bias", "output_blocks.7.1.qkv.weight", "output_blocks.7.1.qkv.bias", "output_blocks.7.1.proj_out.weight", "output_blocks.7.1.proj_out.bias", "output_blocks.8.1.norm.weight", "output_blocks.8.1.norm.bias", "output_blocks.8.1.qkv.weight", "output_blocks.8.1.qkv.bias", "output_blocks.8.1.proj_out.weight", "output_blocks.8.1.proj_out.bias", "output_blocks.8.2.in_layers.0.weight", "output_blocks.8.2.in_layers.0.bias", "output_blocks.8.2.in_layers.2.weight", "output_blocks.8.2.in_layers.2.bias", "output_blocks.8.2.emb_layers.1.weight", "output_blocks.8.2.emb_layers.1.bias", "output_blocks.8.2.out_layers.0.weight", "output_blocks.8.2.out_layers.0.bias", "output_blocks.8.2.out_layers.3.weight", "output_blocks.8.2.out_layers.3.bias", "output_blocks.11.1.in_layers.0.weight", "output_blocks.11.1.in_layers.0.bias", "output_blocks.11.1.in_layers.2.weight", "output_blocks.11.1.in_layers.2.bias", "output_blocks.11.1.emb_layers.1.weight", "output_blocks.11.1.emb_layers.1.bias", "output_blocks.11.1.out_layers.0.weight", "output_blocks.11.1.out_layers.0.bias", "output_blocks.11.1.out_layers.3.weight", "output_blocks.11.1.out_layers.3.bias", "output_blocks.12.0.in_layers.0.weight", "output_blocks.12.0.in_layers.0.bias", "output_blocks.12.0.in_layers.2.weight", "output_blocks.12.0.in_layers.2.bias", "output_blocks.12.0.emb_layers.1.weight", "output_blocks.12.0.emb_layers.1.bias", "output_blocks.12.0.out_layers.0.weight", "output_blocks.12.0.out_layers.0.bias", "output_blocks.12.0.out_layers.3.weight", "output_blocks.12.0.out_layers.3.bias", "output_blocks.12.0.skip_connection.weight", "output_blocks.12.0.skip_connection.bias", "output_blocks.13.0.in_layers.0.weight", "output_blocks.13.0.in_layers.0.bias", "output_blocks.13.0.in_layers.2.weight", "output_blocks.13.0.in_layers.2.bias", "output_blocks.13.0.emb_layers.1.weight", "output_blocks.13.0.emb_layers.1.bias", "output_blocks.13.0.out_layers.0.weight", "output_blocks.13.0.out_layers.0.bias", "output_blocks.13.0.out_layers.3.weight", "output_blocks.13.0.out_layers.3.bias", "output_blocks.13.0.skip_connection.weight", "output_blocks.13.0.skip_connection.bias", "output_blocks.14.0.in_layers.0.weight", "output_blocks.14.0.in_layers.0.bias", "output_blocks.14.0.in_layers.2.weight", "output_blocks.14.0.in_layers.2.bias", "output_blocks.14.0.emb_layers.1.weight", "output_blocks.14.0.emb_layers.1.bias", "output_blocks.14.0.out_layers.0.weight", "output_blocks.14.0.out_layers.0.bias", "output_blocks.14.0.out_layers.3.weight", "output_blocks.14.0.out_layers.3.bias", "output_blocks.14.0.skip_connection.weight", "output_blocks.14.0.skip_connection.bias", "output_blocks.14.1.in_layers.0.weight", "output_blocks.14.1.in_layers.0.bias", "output_blocks.14.1.in_layers.2.weight", "output_blocks.14.1.in_layers.2.bias", "output_blocks.14.1.emb_layers.1.weight", "output_blocks.14.1.emb_layers.1.bias", "output_blocks.14.1.out_layers.0.weight", "output_blocks.14.1.out_layers.0.bias", "output_blocks.14.1.out_layers.3.weight", "output_blocks.14.1.out_layers.3.bias", "output_blocks.15.0.in_layers.0.weight", "output_blocks.15.0.in_layers.0.bias", "output_blocks.15.0.in_layers.2.weight", "output_blocks.15.0.in_layers.2.bias", "output_blocks.15.0.emb_layers.1.weight", "output_blocks.15.0.emb_layers.1.bias", "output_blocks.15.0.out_layers.0.weight", "output_blocks.15.0.out_layers.0.bias", "output_blocks.15.0.out_layers.3.weight", "output_blocks.15.0.out_layers.3.bias", "output_blocks.15.0.skip_connection.weight", "output_blocks.15.0.skip_connection.bias", "output_blocks.16.0.in_layers.0.weight", "output_blocks.16.0.in_layers.0.bias", "output_blocks.16.0.in_layers.2.weight", "output_blocks.16.0.in_layers.2.bias", "output_blocks.16.0.emb_layers.1.weight", "output_blocks.16.0.emb_layers.1.bias", "output_blocks.16.0.out_layers.0.weight", "output_blocks.16.0.out_layers.0.bias", "output_blocks.16.0.out_layers.3.weight", "output_blocks.16.0.out_layers.3.bias", "output_blocks.16.0.skip_connection.weight", "output_blocks.16.0.skip_connection.bias", "output_blocks.17.0.in_layers.0.weight", "output_blocks.17.0.in_layers.0.bias", "output_blocks.17.0.in_layers.2.weight", "output_blocks.17.0.in_layers.2.bias", "output_blocks.17.0.emb_layers.1.weight", "output_blocks.17.0.emb_layers.1.bias", "output_blocks.17.0.out_layers.0.weight", "output_blocks.17.0.out_layers.0.bias", "output_blocks.17.0.out_layers.3.weight", "output_blocks.17.0.out_layers.3.bias", "output_blocks.17.0.skip_connection.weight", "output_blocks.17.0.skip_connection.bias".
Unexpected key(s) in state_dict: "input_blocks.5.0.skip_connection.weight", "input_blocks.5.0.skip_connection.bias", "input_blocks.9.1.norm.weight", "input_blocks.9.1.norm.bias", "input_blocks.9.1.qkv.weight", "input_blocks.9.1.qkv.bias", "input_blocks.9.1.proj_out.weight", "input_blocks.9.1.proj_out.bias", "input_blocks.9.0.skip_connection.weight", "input_blocks.9.0.skip_connection.bias", "output_blocks.1.1.in_layers.0.weight", "output_blocks.1.1.in_layers.0.bias", "output_blocks.1.1.in_layers.2.weight", "output_blocks.1.1.in_layers.2.bias", "output_blocks.1.1.emb_layers.1.weight", "output_blocks.1.1.emb_layers.1.bias", "output_blocks.1.1.out_layers.0.weight", "output_blocks.1.1.out_layers.0.bias", "output_blocks.1.1.out_layers.3.weight", "output_blocks.1.1.out_layers.3.bias", "output_blocks.3.2.in_layers.0.weight", "output_blocks.3.2.in_layers.0.bias", "output_blocks.3.2.in_layers.2.weight", "output_blocks.3.2.in_layers.2.bias", "output_blocks.3.2.emb_layers.1.weight", "output_blocks.3.2.emb_layers.1.bias", "output_blocks.3.2.out_layers.0.weight", "output_blocks.3.2.out_layers.0.bias", "output_blocks.3.2.out_layers.3.weight", "output_blocks.3.2.out_layers.3.bias", "output_blocks.5.1.in_layers.0.weight", "output_blocks.5.1.in_layers.0.bias", "output_blocks.5.1.in_layers.2.weight", "output_blocks.5.1.in_layers.2.bias", "output_blocks.5.1.emb_layers.1.weight", "output_blocks.5.1.emb_layers.1.bias", "output_blocks.5.1.out_layers.0.weight", "output_blocks.5.1.out_layers.0.bias", "output_blocks.5.1.out_layers.3.weight", "output_blocks.5.1.out_layers.3.bias", "output_blocks.7.1.in_layers.0.weight", "output_blocks.7.1.in_layers.0.bias", "output_blocks.7.1.in_layers.2.weight", "output_blocks.7.1.in_layers.2.bias", "output_blocks.7.1.emb_layers.1.weight", "output_blocks.7.1.emb_layers.1.bias", "output_blocks.7.1.out_layers.0.weight", "output_blocks.7.1.out_layers.0.bias", "output_blocks.7.1.out_layers.3.weight", "output_blocks.7.1.out_layers.3.bias", "output_blocks.9.1.in_layers.0.weight", "output_blocks.9.1.in_layers.0.bias", "output_blocks.9.1.in_layers.2.weight", "output_blocks.9.1.in_layers.2.bias", "output_blocks.9.1.emb_layers.1.weight", "output_blocks.9.1.emb_layers.1.bias", "output_blocks.9.1.out_layers.0.weight", "output_blocks.9.1.out_layers.0.bias", "output_blocks.9.1.out_layers.3.weight", "output_blocks.9.1.out_layers.3.bias".
size mismatch for time_embed.0.weight: copying a param with shape torch.Size([512, 128]) from checkpoint, the shape in current model is torch.Size([1024, 256]).
did you rename the model as diffusion_ffhq_10m.pt?
No.
please rename the model name as in here https://github.com/yuanzhi-zhu/DiffPIR/blob/main/main_ddpir_sisr.py#L35
or modify this line to be consistent with the actual model name
Thank you. It works.