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This isn't needed for inference.

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comfyanonymous 2023-06-14 13:05:08 -04:00
parent fa2cca056c
commit 9d54066ebc
1 changed files with 3 additions and 4 deletions
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7
comfy/ldm/modules/attention.py
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@ -610,13 +610,12 @@ class SpatialTransformer(nn.Module):
for d in range(depth)]
)
if not use_linear:
self.proj_out = zero_module(nn.Conv2d(inner_dim,
in_channels,
self.proj_out = nn.Conv2d(inner_dim,in_channels,
kernel_size=1,
stride=1,
padding=0))
padding=0)
else:
self.proj_out = zero_module(comfy.ops.Linear(in_channels, inner_dim))
self.proj_out = comfy.ops.Linear(in_channels, inner_dim)
self.use_linear = use_linear
def forward(self, x, context=None, transformer_options={}):