Method __init__

ldm/modules/diffusionmodules/model.py:805–813

(self, z_channels, out_ch, resolution, num_res_blocks, attn_resolutions, ch, ch_mult=(1,2,4,8),
                 dropout=0.0, resamp_with_conv=True, rescale_factor=1.0, rescale_module_depth=1)

class MergedRescaleDecoder(nn.Module):
    def __init__(self, z_channels, out_ch, resolution, num_res_blocks, attn_resolutions, ch, ch_mult=(1,2,4,8),
                 dropout=0.0, resamp_with_conv=True, rescale_factor=1.0, rescale_module_depth=1):
        super().__init__()
        tmp_chn = z_channels*ch_mult[-1]
        self.decoder = Decoder(out_ch=out_ch, z_channels=tmp_chn, attn_resolutions=attn_resolutions, dropout=dropout,
                               resamp_with_conv=resamp_with_conv, in_channels=None, num_res_blocks=num_res_blocks,
                               ch_mult=ch_mult, resolution=resolution, ch=ch)
        self.rescaler = LatentRescaler(factor=rescale_factor, in_channels=z_channels, mid_channels=tmp_chn,
                                       out_channels=tmp_chn, depth=rescale_module_depth)

    def forward(self, x):
        x = self.rescaler(x)