size mismatch for GE.blocks.2.to_noise2.weight: copying a param with shape torch.Size([256, 1]) from checkpoint, the shape in current model is torch.Size([1024, 1]).
size mismatch for GE.blocks.2.to_noise2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for GE.blocks.2.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 1024, 3, 3]).
size mismatch for GE.blocks.2.to_rgb.to_style.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]).
size mismatch for GE.blocks.2.to_rgb.to_style.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for GE.blocks.2.to_rgb.conv.weight: copying a param with shape torch.Size([3, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 1024, 1, 1]).
size mismatch for GE.blocks.3.to_style1.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]).
size mismatch for GE.blocks.3.to_style1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for GE.blocks.3.to_noise1.weight: copying a param with shape torch.Size([128, 1]) from checkpoint, the shape in current model is torch.Size([512, 1]).
size mismatch for GE.blocks.3.to_noise1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for GE.blocks.3.conv1.weight: copying a param with shape torch.Size([128, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1024, 3, 3]).
size mismatch for GE.blocks.3.to_style2.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for GE.blocks.3.to_style2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for GE.blocks.3.to_noise2.weight: copying a param with shape torch.Size([128, 1]) from checkpoint, the shape in current model is torch.Size([512, 1]).
size mismatch for GE.blocks.3.to_noise2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for GE.blocks.3.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]).
size mismatch for GE.blocks.3.to_rgb.to_style.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for GE.blocks.3.to_rgb.to_style.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for GE.blocks.3.to_rgb.conv.weight: copying a param with shape torch.Size([3, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 512, 1, 1]).
size mismatch for GE.blocks.4.to_style1.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for GE.blocks.4.to_style1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for GE.blocks.4.to_noise1.weight: copying a param with shape torch.Size([64, 1]) from checkpoint, the shape in current model is torch.Size([256, 1]).
size mismatch for GE.blocks.4.to_noise1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for GE.blocks.4.conv1.weight: copying a param with shape torch.Size([64, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 512, 3, 3]).
size mismatch for GE.blocks.4.to_style2.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]).
size mismatch for GE.blocks.4.to_style2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for GE.blocks.4.to_noise2.weight: copying a param with shape torch.Size([64, 1]) from checkpoint, the shape in current model is torch.Size([256, 1]).
size mismatch for GE.blocks.4.to_noise2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for GE.blocks.4.conv2.weight: copying a param with shape torch.Size([64, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]).
size mismatch for GE.blocks.4.to_rgb.to_style.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]).
size mismatch for GE.blocks.4.to_rgb.to_style.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for GE.blocks.4.to_rgb.conv.weight: copying a param with shape torch.Size([3, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 256, 1, 1]).
size mismatch for GE.blocks.5.to_style1.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]).
size mismatch for GE.blocks.5.to_style1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for GE.blocks.5.to_noise1.weight: copying a param with shape torch.Size([32, 1]) from checkpoint, the shape in current model is torch.Size([128, 1]).
size mismatch for GE.blocks.5.to_noise1.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for GE.blocks.5.conv1.weight: copying a param with shape torch.Size([32, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 256, 3, 3]).
size mismatch for GE.blocks.5.to_style2.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]).
size mismatch for GE.blocks.5.to_style2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for GE.blocks.5.to_noise2.weight: copying a param with shape torch.Size([32, 1]) from checkpoint, the shape in current model is torch.Size([128, 1]).
size mismatch for GE.blocks.5.to_noise2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for GE.blocks.5.conv2.weight: copying a param with shape torch.Size([32, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]).
size mismatch for GE.blocks.5.to_rgb.to_style.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]).
size mismatch for GE.blocks.5.to_rgb.to_style.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for GE.blocks.5.to_rgb.conv.weight: copying a param with shape torch.Size([3, 32, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 128, 1, 1]).