For demo video,what happend to VAE decoder? I have no idea. Please help

[Daniel-ccx]

VAELoader Error(s) in loading state_dict for WanVAE: size mismatch for encoder.conv1.weight: copying a param with shape torch.Size([160, 12, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([96, 3, 3, 3, 3]). size mismatch for encoder.conv1.bias: copying a param with shape torch.Size([160]) from checkpoint, the shape in current model is torch.Size([96]). size mismatch for encoder.middle.0.residual.0.gamma: copying a param with shape torch.Size([640, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for encoder.middle.0.residual.2.weight: copying a param with shape torch.Size([640, 640, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for encoder.middle.0.residual.2.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for encoder.middle.0.residual.3.gamma: copying a param with shape torch.Size([640, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for encoder.middle.0.residual.6.weight: copying a param with shape torch.Size([640, 640, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for encoder.middle.0.residual.6.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for encoder.middle.1.norm.gamma: copying a param with shape torch.Size([640, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1]). size mismatch for encoder.middle.1.to_qkv.weight: copying a param with shape torch.Size([1920, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([1152, 384, 1, 1]). size mismatch for encoder.middle.1.to_qkv.bias: copying a param with shape torch.Size([1920]) from checkpoint, the shape in current model is torch.Size([1152]). size mismatch for encoder.middle.1.proj.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 384, 1, 1]). size mismatch for encoder.middle.1.proj.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for encoder.middle.2.residual.0.gamma: copying a param with shape torch.Size([640, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for encoder.middle.2.residual.2.weight: copying a param with shape torch.Size([640, 640, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for encoder.middle.2.residual.2.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for encoder.middle.2.residual.3.gamma: copying a param with shape torch.Size([640, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for encoder.middle.2.residual.6.weight: copying a param with shape torch.Size([640, 640, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for encoder.middle.2.residual.6.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for encoder.head.0.gamma: copying a param with shape torch.Size([640, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for encoder.head.2.weight: copying a param with shape torch.Size([96, 640, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 384, 3, 3, 3]). size mismatch for encoder.head.2.bias: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([32]). size mismatch for conv1.weight: copying a param with shape torch.Size([96, 96, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 32, 1, 1, 1]). size mismatch for conv1.bias: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([32]). size mismatch for conv2.weight: copying a param with shape torch.Size([48, 48, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([16, 16, 1, 1, 1]). size mismatch for conv2.bias: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([16]). size mismatch for decoder.conv1.weight: copying a param with shape torch.Size([1024, 48, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 16, 3, 3, 3]). size mismatch for decoder.conv1.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for decoder.middle.0.residual.0.gamma: copying a param with shape torch.Size([1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for decoder.middle.0.residual.2.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for decoder.middle.0.residual.2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for decoder.middle.0.residual.3.gamma: copying a param with shape torch.Size([1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for decoder.middle.0.residual.6.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for decoder.middle.0.residual.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for decoder.middle.1.norm.gamma: copying a param with shape torch.Size([1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1]). size mismatch for decoder.middle.1.to_qkv.weight: copying a param with shape torch.Size([3072, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([1152, 384, 1, 1]). size mismatch for decoder.middle.1.to_qkv.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([1152]). size mismatch for decoder.middle.1.proj.weight: copying a param with shape torch.Size([1024, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 384, 1, 1]). size mismatch for decoder.middle.1.proj.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for decoder.middle.2.residual.0.gamma: copying a param with shape torch.Size([1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for decoder.middle.2.residual.2.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for decoder.middle.2.residual.2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for decoder.middle.2.residual.3.gamma: copying a param with shape torch.Size([1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 1, 1, 1]). size mismatch for decoder.middle.2.residual.6.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([384, 384, 3, 3, 3]). size mismatch for decoder.middle.2.residual.6.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for decoder.head.0.gamma: copying a param with shape torch.Size([256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([96, 1, 1, 1]). size mismatch for decoder.head.2.weight: copying a param with shape torch.Size([12, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([3, 96, 3, 3, 3]). size mismatch for decoder.head.2.bias: copying a param with shape torch.Size([12]) from checkpoint, the shape in current model is torch.Size([3]).

For demo video,what happend to VAE decoder? I have no idea. Please help