Method __init__

scripts/convert_consistency_decoder.py:237–240

(self, in_channels=320, out_channels=6)

class ImageUnembedding(nn.Module):
    def __init__(self, in_channels=320, out_channels=6) -> None:
        super().__init__()
        self.gn = nn.GroupNorm(32, in_channels)
        self.f = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)

    def forward(self, x) -> torch.Tensor:
        return self.f(F.silu(self.gn(x)))