HyVideoVAELoader Error(s) in loading state_dict for AutoencoderKLCausal3D:

[AIKE-Dereks]

Missing key(s) in state_dict: "encoder.down_blocks.0.resnets.0.norm1.weight", "encoder.down_blocks.0.resnets.0.norm1.bias", "encoder.down_blocks.0.resnets.0.conv1.conv.weight", "encoder.down_blocks.0.resnets.0.conv1.conv.bias", "encoder.down_blocks.0.resnets.0.norm2.weight", "encoder.down_blocks.0.resnets.0.norm2.bias", "encoder.down_blocks.0.resnets.0.conv2.conv.weight", "encoder.down_blocks.0.resnets.0.conv2.conv.bias", "encoder.down_blocks.0.resnets.1.norm1.weight", "encoder.down_blocks.0.resnets.1.norm1.bias", "encoder.down_blocks.0.resnets.1.conv1.conv.weight", "encoder.down_blocks.0.resnets.1.conv1.conv.bias", "encoder.down_blocks.0.resnets.1.norm2.weight", "encoder.down_blocks.0.resnets.1.norm2.bias", "encoder.down_blocks.0.resnets.1.conv2.conv.weight", "encoder.down_blocks.0.resnets.1.conv2.conv.bias", "encoder.down_blocks.0.downsamplers.0.conv.conv.weight", "encoder.down_blocks.0.downsamplers.0.conv.conv.bias", "encoder.down_blocks.1.resnets.0.norm1.weight", "encoder.down_blocks.1.resnets.0.norm1.bias", "encoder.down_blocks.1.resnets.0.conv1.conv.weight", "encoder.down_blocks.1.resnets.0.conv1.conv.bias", "encoder.down_blocks.1.resnets.0.norm2.weight", "encoder.down_blocks.1.resnets.0.norm2.bias", "encoder.down_blocks.1.resnets.0.conv2.conv.weight", "encoder.down_blocks.1.resnets.0.conv2.conv.bias", "encoder.down_blocks.1.resnets.0.conv_shortcut.conv.weight", "encoder.down_blocks.1.resnets.0.conv_shortcut.conv.bias", "encoder.down_blocks.1.resnets.1.norm1.weight", "encoder.down_blocks.1.resnets.1.norm1.bias", "encoder.down_blocks.1.resnets.1.conv1.conv.weight", "encoder.down_blocks.1.resnets.1.conv1.conv.bias", "encoder.down_blocks.1.resnets.1.norm2.weight", "encoder.down_blocks.1.resnets.1.norm2.bias", "encoder.down_blocks.1.resnets.1.conv2.conv.weight", "encoder.down_blocks.1.resnets.1.conv2.conv.bias", "encoder.down_blocks.1.downsamplers.0.conv.conv.weight", "encoder.down_blocks.1.downsamplers.0.conv.conv.bias", "encoder.down_blocks.2.resnets.0.norm1.weight", "encoder.down_blocks.2.resnets.0.norm1.bias", "encoder.down_blocks.2.resnets.0.conv1.conv.weight", "encoder.down_blocks.2.resnets.0.conv1.conv.bias", "encoder.down_blocks.2.resnets.0.norm2.weight", "encoder.down_blocks.2.resnets.0.norm2.bias", "encoder.down_blocks.2.resnets.0.conv2.conv.weight", "encoder.down_blocks.2.resnets.0.conv2.conv.bias", "encoder.down_blocks.2.resnets.0.conv_shortcut.conv.weight", "encoder.down_blocks.2.resnets.0.conv_shortcut.conv.bias", "encoder.down_blocks.2.resnets.1.norm1.weight", "encoder.down_blocks.2.resnets.1.norm1.bias", "encoder.down_blocks.2.resnets.1.conv1.conv.weight", "encoder.down_blocks.2.resnets.1.conv1.conv.bias", "encoder.down_blocks.2.resnets.1.norm2.weight", "encoder.down_blocks.2.resnets.1.norm2.bias", "encoder.down_blocks.2.resnets.1.conv2.conv.weight", "encoder.down_blocks.2.resnets.1.conv2.conv.bias", "encoder.down_blocks.2.downsamplers.0.conv.conv.weight", "encoder.down_blocks.2.downsamplers.0.conv.conv.bias", "encoder.down_blocks.3.resnets.0.norm1.weight", "encoder.down_blocks.3.resnets.0.norm1.bias", "encoder.down_blocks.3.resnets.0.conv1.conv.weight", "encoder.down_blocks.3.resnets.0.conv1.conv.bias", "encoder.down_blocks.3.resnets.0.norm2.weight", "encoder.down_blocks.3.resnets.0.norm2.bias", "encoder.down_blocks.3.resnets.0.conv2.conv.weight", "encoder.down_blocks.3.resnets.0.conv2.conv.bias", "encoder.down_blocks.3.resnets.1.norm1.weight", "encoder.down_blocks.3.resnets.1.norm1.bias", "encoder.down_blocks.3.resnets.1.conv1.conv.weight", "encoder.down_blocks.3.resnets.1.conv1.conv.bias", "encoder.down_blocks.3.resnets.1.norm2.weight", "encoder.down_blocks.3.resnets.1.norm2.bias", "encoder.down_blocks.3.resnets.1.conv2.conv.weight", "encoder.down_blocks.3.resnets.1.conv2.conv.bias", "encoder.mid_block.attentions.0.group_norm.weight", "encoder.mid_block.attentions.0.group_norm.bias", "encoder.mid_block.attentions.0.to_q.weight", "encoder.mid_block.attentions.0.to_q.bias", "encoder.mid_block.attentions.0.to_k.weight", "encoder.mid_block.attentions.0.to_k.bias", "encoder.mid_block.attentions.0.to_v.weight", "encoder.mid_block.attentions.0.to_v.bias", "encoder.mid_block.attentions.0.to_out.0.weight", "encoder.mid_block.attentions.0.to_out.0.bias", "encoder.mid_block.resnets.0.norm1.weight", "encoder.mid_block.resnets.0.norm1.bias", "encoder.mid_block.resnets.0.conv1.conv.weight", "encoder.mid_block.resnets.0.conv1.conv.bias", "encoder.mid_block.resnets.0.norm2.weight", "encoder.mid_block.resnets.0.norm2.bias", "encoder.mid_block.resnets.0.conv2.conv.weight", "encoder.mid_block.resnets.0.conv2.conv.bias", "encoder.mid_block.resnets.1.norm1.weight", "encoder.mid_block.resnets.1.norm1.bias", "encoder.mid_block.resnets.1.conv1.conv.weight", "encoder.mid_block.resnets.1.conv1.conv.bias", "encoder.mid_block.resnets.1.norm2.weight", "encoder.mid_block.resnets.1.norm2.bias", "encoder.mid_block.resnets.1.conv2.conv.weight", "encoder.mid_block.resnets.1.conv2.conv.bias", "encoder.conv_norm_out.weight", "encoder.conv_norm_out.bias", "decoder.up_blocks.0.resnets.0.norm1.weight", "decoder.up_blocks.0.resnets.0.norm1.bias", "decoder.up_blocks.0.resnets.0.conv1.conv.weight", "decoder.up_blocks.0.resnets.0.conv1.conv.bias", "decoder.up_blocks.0.resnets.0.norm2.weight", "decoder.up_blocks.0.resnets.0.norm2.bias", "decoder.up_blocks.0.resnets.0.conv2.conv.weight", "decoder.up_blocks.0.resnets.0.conv2.conv.bias", "decoder.up_blocks.0.resnets.1.norm1.weight", "decoder.up_blocks.0.resnets.1.norm1.bias", "decoder.up_blocks.0.resnets.1.conv1.conv.weight", "decoder.up_blocks.0.resnets.1.conv1.conv.bias", "decoder.up_blocks.0.resnets.1.norm2.weight", "decoder.up_blocks.0.resnets.1.norm2.bias", "decoder.up_blocks.0.resnets.1.conv2.conv.weight", "decoder.up_blocks.0.resnets.1.conv2.conv.bias", "decoder.up_blocks.0.resnets.2.norm1.weight", "decoder.up_blocks.0.resnets.2.norm1.bias", "decoder.up_blocks.0.resnets.2.conv1.conv.weight", "decoder.up_blocks.0.resnets.2.conv1.conv.bias", "decoder.up_blocks.0.resnets.2.norm2.weight", "decoder.up_blocks.0.resnets.2.norm2.bias", "decoder.up_blocks.0.resnets.2.conv2.conv.weight", "decoder.up_blocks.0.resnets.2.conv2.conv.bias", "decoder.up_blocks.0.upsamplers.0.conv.conv.weight", "decoder.up_blocks.0.upsamplers.0.conv.conv.bias", "decoder.up_blocks.1.resnets.0.norm1.weight", "decoder.up_blocks.1.resnets.0.norm1.bias", "decoder.up_blocks.1.resnets.0.conv1.conv.weight", "decoder.up_blocks.1.resnets.0.conv1.conv.bias", "decoder.up_blocks.1.resnets.0.norm2.weight", "decoder.up_blocks.1.resnets.0.norm2.bias", "decoder.up_blocks.1.resnets.0.conv2.conv.weight", "decoder.up_blocks.1.resnets.0.conv2.conv.bias", "decoder.up_blocks.1.resnets.1.norm1.weight", "decoder.up_blocks.1.resnets.1.norm1.bias", "decoder.up_blocks.1.resnets.1.conv1.conv.weight", "decoder.up_blocks.1.resnets.1.conv1.conv.bias", "decoder.up_blocks.1.resnets.1.norm2.weight", "decoder.up_blocks.1.resnets.1.norm2.bias", "decoder.up_blocks.1.resnets.1.conv2.conv.weight", "decoder.up_blocks.1.resnets.1.conv2.conv.bias", "decoder.up_blocks.1.resnets.2.norm1.weight", "decoder.up_blocks.1.resnets.2.norm1.bias", "decoder.up_blocks.1.resnets.2.conv1.conv.weight", "decoder.up_blocks.1.resnets.2.conv1.conv.bias", "decoder.up_blocks.1.resnets.2.norm2.weight", "decoder.up_blocks.1.resnets.2.norm2.bias", "decoder.up_blocks.1.resnets.2.conv2.conv.weight", "decoder.up_blocks.1.resnets.2.conv2.conv.bias", "decoder.up_blocks.1.upsamplers.0.conv.conv.weight", "decoder.up_blocks.1.upsamplers.0.conv.conv.bias", "decoder.up_blocks.2.resnets.0.norm1.weight", "decoder.up_blocks.2.resnets.0.norm1.bias", "decoder.up_blocks.2.resnets.0.conv1.conv.weight", "decoder.up_blocks.2.resnets.0.conv1.conv.bias", "decoder.up_blocks.2.resnets.0.norm2.weight", "decoder.up_blocks.2.resnets.0.norm2.bias", "decoder.up_blocks.2.resnets.0.conv2.conv.weight", "decoder.up_blocks.2.resnets.0.conv2.conv.bias", "decoder.up_blocks.2.resnets.0.conv_shortcut.conv.weight", "decoder.up_blocks.2.resnets.0.conv_shortcut.conv.bias", "decoder.up_blocks.2.resnets.1.norm1.weight", "decoder.up_blocks.2.resnets.1.norm1.bias", "decoder.up_blocks.2.resnets.1.conv1.conv.weight", "decoder.up_blocks.2.resnets.1.conv1.conv.bias", "decoder.up_blocks.2.resnets.1.norm2.weight", "decoder.up_blocks.2.resnets.1.norm2.bias", "decoder.up_blocks.2.resnets.1.conv2.conv.weight", "decoder.up_blocks.2.resnets.1.conv2.conv.bias", "decoder.up_blocks.2.resnets.2.norm1.weight", "decoder.up_blocks.2.resnets.2.norm1.bias", "decoder.up_blocks.2.resnets.2.conv1.conv.weight", "decoder.up_blocks.2.resnets.2.conv1.conv.bias", "decoder.up_blocks.2.resnets.2.norm2.weight", "decoder.up_blocks.2.resnets.2.norm2.bias", "decoder.up_blocks.2.resnets.2.conv2.conv.weight", "decoder.up_blocks.2.resnets.2.conv2.conv.bias", "decoder.up_blocks.2.upsamplers.0.conv.conv.weight", "decoder.up_blocks.2.upsamplers.0.conv.conv.bias", "decoder.up_blocks.3.resnets.0.norm1.weight", "decoder.up_blocks.3.resnets.0.norm1.bias", "decoder.up_blocks.3.resnets.0.conv1.conv.weight", "decoder.up_blocks.3.resnets.0.conv1.conv.bias", "decoder.up_blocks.3.resnets.0.norm2.weight", "decoder.up_blocks.3.resnets.0.norm2.bias", "decoder.up_blocks.3.resnets.0.conv2.conv.weight", "decoder.up_blocks.3.resnets.0.conv2.conv.bias", "decoder.up_blocks.3.resnets.0.conv_shortcut.conv.weight", "decoder.up_blocks.3.resnets.0.conv_shortcut.conv.bias", "decoder.up_blocks.3.resnets.1.norm1.weight", "decoder.up_blocks.3.resnets.1.norm1.bias", "decoder.up_blocks.3.resnets.1.conv1.conv.weight", "decoder.up_blocks.3.resnets.1.conv1.conv.bias", "decoder.up_blocks.3.resnets.1.norm2.weight", "decoder.up_blocks.3.resnets.1.norm2.bias", "decoder.up_blocks.3.resnets.1.conv2.conv.weight", "decoder.up_blocks.3.resnets.1.conv2.conv.bias", "decoder.up_blocks.3.resnets.2.norm1.weight", "decoder.up_blocks.3.resnets.2.norm1.bias", "decoder.up_blocks.3.resnets.2.conv1.conv.weight", "decoder.up_blocks.3.resnets.2.conv1.conv.bias", "decoder.up_blocks.3.resnets.2.norm2.weight", "decoder.up_blocks.3.resnets.2.norm2.bias", "decoder.up_blocks.3.resnets.2.conv2.conv.weight", "decoder.up_blocks.3.resnets.2.conv2.conv.bias", "decoder.mid_block.attentions.0.group_norm.weight", "decoder.mid_block.attentions.0.group_norm.bias", "decoder.mid_block.attentions.0.to_q.weight", "decoder.mid_block.attentions.0.to_q.bias", "decoder.mid_block.attentions.0.to_k.weight", "decoder.mid_block.attentions.0.to_k.bias", "decoder.mid_block.attentions.0.to_v.weight", "decoder.mid_block.attentions.0.to_v.bias", "decoder.mid_block.attentions.0.to_out.0.weight", "decoder.mid_block.attentions.0.to_out.0.bias", "decoder.mid_block.resnets.0.norm1.weight", "decoder.mid_block.resnets.0.norm1.bias", "decoder.mid_block.resnets.0.conv1.conv.weight", "decoder.mid_block.resnets.0.conv1.conv.bias", "decoder.mid_block.resnets.0.norm2.weight", "decoder.mid_block.resnets.0.norm2.bias", "decoder.mid_block.resnets.0.conv2.conv.weight", "decoder.mid_block.resnets.0.conv2.conv.bias", "decoder.mid_block.resnets.1.norm1.weight", "decoder.mid_block.resnets.1.norm1.bias", "decoder.mid_block.resnets.1.conv1.conv.weight", "decoder.mid_block.resnets.1.conv1.conv.bias", "decoder.mid_block.resnets.1.norm2.weight", "decoder.mid_block.resnets.1.norm2.bias", "decoder.mid_block.resnets.1.conv2.conv.weight", "decoder.mid_block.resnets.1.conv2.conv.bias", "decoder.conv_norm_out.weight", "decoder.conv_norm_out.bias".
Unexpected key(s) in state_dict: "encoder.down.0.block.0.conv1.conv.bias", "encoder.down.0.block.0.conv1.conv.weight", "encoder.down.0.block.0.conv2.conv.bias", "encoder.down.0.block.0.conv2.conv.weight", "encoder.down.0.block.0.norm1.bias", "encoder.down.0.block.0.norm1.weight", "encoder.down.0.block.0.norm2.bias", "encoder.down.0.block.0.norm2.weight", "encoder.down.0.block.1.conv1.conv.bias", "encoder.down.0.block.1.conv1.conv.weight", "encoder.down.0.block.1.conv2.conv.bias", "encoder.down.0.block.1.conv2.conv.weight", "encoder.down.0.block.1.norm1.bias", "encoder.down.0.block.1.norm1.weight", "encoder.down.0.block.1.norm2.bias", "encoder.down.0.block.1.norm2.weight", "encoder.down.0.downsample.conv.conv.bias", "encoder.down.0.downsample.conv.conv.weight", "encoder.down.1.block.0.conv1.conv.bias", "encoder.down.1.block.0.conv1.conv.weight", "encoder.down.1.block.0.conv2.conv.bias", "encoder.down.1.block.0.conv2.conv.weight", "encoder.down.1.block.0.nin_shortcut.conv.bias", "encoder.down.1.block.0.nin_shortcut.conv.weight", "encoder.down.1.block.0.norm1.bias", "encoder.down.1.block.0.norm1.weight", "encoder.down.1.block.0.norm2.bias", "encoder.down.1.block.0.norm2.weight", "encoder.down.1.block.1.conv1.conv.bias", "encoder.down.1.block.1.conv1.conv.weight", "encoder.down.1.block.1.conv2.conv.bias", "encoder.down.1.block.1.conv2.conv.weight", "encoder.down.1.block.1.norm1.bias", "encoder.down.1.block.1.norm1.weight", "encoder.down.1.block.1.norm2.bias", "encoder.down.1.block.1.norm2.weight", "encoder.down.1.downsample.conv.conv.bias", "encoder.down.1.downsample.conv.conv.weight", "encoder.down.2.block.0.conv1.conv.bias", "encoder.down.2.block.0.conv1.conv.weight", "encoder.down.2.block.0.conv2.conv.bias", "encoder.down.2.block.0.conv2.conv.weight", "encoder.down.2.block.0.nin_shortcut.conv.bias", "encoder.down.2.block.0.nin_shortcut.conv.weight", "encoder.down.2.block.0.norm1.bias", "encoder.down.2.block.0.norm1.weight", "encoder.down.2.block.0.norm2.bias", "encoder.down.2.block.0.norm2.weight", "encoder.down.2.block.1.conv1.conv.bias", "encoder.down.2.block.1.conv1.conv.weight", "encoder.down.2.block.1.conv2.conv.bias", "encoder.down.2.block.1.conv2.conv.weight", "encoder.down.2.block.1.norm1.bias", "encoder.down.2.block.1.norm1.weight", "encoder.down.2.block.1.norm2.bias", "encoder.down.2.block.1.norm2.weight", "encoder.down.2.downsample.conv.conv.bias", "encoder.down.2.downsample.conv.conv.weight", "encoder.down.3.block.0.conv1.conv.bias", "encoder.down.3.block.0.conv1.conv.weight", "encoder.down.3.block.0.conv2.conv.bias", "encoder.down.3.block.0.conv2.conv.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.1.conv1.conv.bias", "encoder.down.3.block.1.conv1.conv.weight", "encoder.down.3.block.1.conv2.conv.bias", "encoder.down.3.block.1.conv2.conv.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.norm2.weight", "encoder.mid.attn_1.k.bias", "encoder.mid.attn_1.k.weight", "encoder.mid.attn_1.norm.bias", "encoder.mid.attn_1.norm.weight", "encoder.mid.attn_1.proj_out.bias", "encoder.mid.attn_1.proj_out.weight", "encoder.mid.attn_1.q.bias", "encoder.mid.attn_1.q.weight", "encoder.mid.attn_1.v.bias", "encoder.mid.attn_1.v.weight", "encoder.mid.block_1.conv1.conv.bias", "encoder.mid.block_1.conv1.conv.weight", "encoder.mid.block_1.conv2.conv.bias", "encoder.mid.block_1.conv2.conv.weight", "encoder.mid.block_1.norm1.bias", "encoder.mid.block_1.norm1.weight", "encoder.mid.block_1.norm2.bias", "encoder.mid.block_1.norm2.weight", "encoder.mid.block_2.conv1.conv.bias", "encoder.mid.block_2.conv1.conv.weight", "encoder.mid.block_2.conv2.conv.bias", "encoder.mid.block_2.conv2.conv.weight", "encoder.mid.block_2.norm1.bias", "encoder.mid.block_2.norm1.weight", "encoder.mid.block_2.norm2.bias", "encoder.mid.block_2.norm2.weight", "encoder.norm_out.bias", "encoder.norm_out.weight", "decoder.mid.attn_1.k.bias", "decoder.mid.attn_1.k.weight", "decoder.mid.attn_1.norm.bias", "decoder.mid.attn_1.norm.weight", "decoder.mid.attn_1.proj_out.bias", "decoder.mid.attn_1.proj_out.weight", "decoder.mid.attn_1.q.bias", "decoder.mid.attn_1.q.weight", "decoder.mid.attn_1.v.bias", "decoder.mid.attn_1.v.weight", "decoder.mid.block_1.conv1.conv.bias", "decoder.mid.block_1.conv1.conv.weight", "decoder.mid.block_1.conv2.conv.bias", "decoder.mid.block_1.conv2.conv.weight", "decoder.mid.block_1.norm1.bias", "decoder.mid.block_1.norm1.weight", "decoder.mid.block_1.norm2.bias", "decoder.mid.block_1.norm2.weight", "decoder.mid.block_2.conv1.conv.bias", "decoder.mid.block_2.conv1.conv.weight", "decoder.mid.block_2.conv2.conv.bias", "decoder.mid.block_2.conv2.conv.weight", "decoder.mid.block_2.norm1.bias", "decoder.mid.block_2.norm1.weight", "decoder.mid.block_2.norm2.bias", "decoder.mid.block_2.norm2.weight", "decoder.norm_out.bias", "decoder.norm_out.weight", "decoder.up.0.block.0.conv1.conv.bias", "decoder.up.0.block.0.conv1.conv.weight", "decoder.up.0.block.0.conv2.conv.bias", "decoder.up.0.block.0.conv2.conv.weight", "decoder.up.0.block.0.nin_shortcut.conv.bias", "decoder.up.0.block.0.nin_shortcut.conv.weight", "decoder.up.0.block.0.norm1.bias", "decoder.up.0.block.0.norm1.weight", "decoder.up.0.block.0.norm2.bias", "decoder.up.0.block.0.norm2.weight", "decoder.up.0.block.1.conv1.conv.bias", "decoder.up.0.block.1.conv1.conv.weight", "decoder.up.0.block.1.conv2.conv.bias", "decoder.up.0.block.1.conv2.conv.weight", "decoder.up.0.block.1.norm1.bias", "decoder.up.0.block.1.norm1.weight", "decoder.up.0.block.1.norm2.bias", "decoder.up.0.block.1.norm2.weight", "decoder.up.0.block.2.conv1.conv.bias", "decoder.up.0.block.2.conv1.conv.weight", "decoder.up.0.block.2.conv2.conv.bias", 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我在3070ti的显卡上遇到这个错误，这是30系显卡不兼容吗？

[numerized]

same for me :))) <3 from ibiza

[dtromb]

需要从https://huggingface.co/Kijai/HunyuanVideo_comfy 下载，其他模型不起作用