All resolutions now work with t2i adapter for SDXL.
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@@ -103,17 +103,17 @@ class ResnetBlock(nn.Module):
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class Adapter(nn.Module):
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def __init__(self, channels=[320, 640, 1280, 1280], nums_rb=3, cin=64, ksize=3, sk=False, use_conv=True, xl=True):
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super(Adapter, self).__init__()
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unshuffle = 8
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self.unshuffle_amount = 8
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resblock_no_downsample = []
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resblock_downsample = [3, 2, 1]
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self.xl = xl
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if self.xl:
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unshuffle = 16
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self.unshuffle_amount = 16
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resblock_no_downsample = [1]
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resblock_downsample = [2]
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self.input_channels = cin // (unshuffle * unshuffle)
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self.unshuffle = nn.PixelUnshuffle(unshuffle)
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self.input_channels = cin // (self.unshuffle_amount * self.unshuffle_amount)
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self.unshuffle = nn.PixelUnshuffle(self.unshuffle_amount)
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self.channels = channels
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self.nums_rb = nums_rb
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self.body = []
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@@ -264,9 +264,9 @@ class extractor(nn.Module):
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class Adapter_light(nn.Module):
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def __init__(self, channels=[320, 640, 1280, 1280], nums_rb=3, cin=64):
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super(Adapter_light, self).__init__()
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unshuffle = 8
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self.unshuffle = nn.PixelUnshuffle(unshuffle)
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self.input_channels = cin // (unshuffle * unshuffle)
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self.unshuffle_amount = 8
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self.unshuffle = nn.PixelUnshuffle(self.unshuffle_amount)
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self.input_channels = cin // (self.unshuffle_amount * self.unshuffle_amount)
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self.channels = channels
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self.nums_rb = nums_rb
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self.body = []
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