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This IS expected if you are initializing AutoencoderKL from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
This IS NOT expected if you are initializing AutoencoderKL from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of AutoencoderKL were not initialized from the model checkpoint at /home/******/One-DM/botp/stable-diffusion-v1-5 and are newly initialized because the shapes did not match:
decoder.conv_in.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.conv_in.weight: found shape torch.Size([512, 4, 3, 3]) in the checkpoint and torch.Size([64, 4, 3, 3]) in the model instantiated
decoder.conv_norm_out.bias: found shape torch.Size([128]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.conv_norm_out.weight: found shape torch.Size([128]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.conv_out.weight: found shape torch.Size([3, 128, 3, 3]) in the checkpoint and torch.Size([3, 64, 3, 3]) in the model instantiated
decoder.mid_block.attentions.0.group_norm.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.attentions.0.group_norm.weight: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.0.conv1.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.0.conv1.weight: found shape torch.Size([512, 512, 3, 3]) in the checkpoint and torch.Size([64, 64, 3, 3]) in the model instantiated
decoder.mid_block.resnets.0.conv2.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.0.conv2.weight: found shape torch.Size([512, 512, 3, 3]) in the checkpoint and torch.Size([64, 64, 3, 3]) in the model instantiated
decoder.mid_block.resnets.0.norm1.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.0.norm1.weight: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.0.norm2.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.0.norm2.weight: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.1.conv1.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.1.conv1.weight: found shape torch.Size([512, 512, 3, 3]) in the checkpoint and torch.Size([64, 64, 3, 3]) in the model instantiated
decoder.mid_block.resnets.1.conv2.bias: found shape torch.Size([512]) in the checkpoint and torch.Size([64]) in the model instantiated
decoder.mid_block.resnets.1.conv2.weight: found shape torch.Size([512, 512, 3, 3]) in the checkpoint and torch.Size([64, 64, 3, 3]) in the model instantiated
请问,具体opt.stable_dif_path 对应版本下载路径能否提供一下?
The text was updated successfully, but these errors were encountered:
如题,我试了
(1)botp
/
stable-diffusion-v1-5
(2)stable-diffusion-v1-5
/
stable-diffusion-v1-5
都会报错,如下:
Some weights of AutoencoderKL were not initialized from the model checkpoint at /home/******/One-DM/botp/stable-diffusion-v1-5 and are newly initialized because the shapes did not match:
请问,具体opt.stable_dif_path 对应版本下载路径能否提供一下?
The text was updated successfully, but these errors were encountered: