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[pull] master from comfyanonymous:master #190

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Merged
pull merged 1 commit into from
Jul 25, 2025
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[pull] master from comfyanonymous:master #190

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13 changes: 2 additions & 11 deletions comfy/ldm/wan/vae.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,15 +52,6 @@ def forward(self, x):
x, dim=(1 if self.channel_first else -1)) * self.scale * self.gamma.to(x) + (self.bias.to(x) if self.bias is not None else 0)


class Upsample(nn.Upsample):

def forward(self, x):
"""
Fix bfloat16 support for nearest neighbor interpolation.
"""
return super().forward(x.float()).type_as(x)


class Resample(nn.Module):

def __init__(self, dim, mode):
Expand All @@ -73,11 +64,11 @@ def __init__(self, dim, mode):
# layers
if mode == 'upsample2d':
self.resample = nn.Sequential(
Upsample(scale_factor=(2., 2.), mode='nearest-exact'),
nn.Upsample(scale_factor=(2., 2.), mode='nearest-exact'),
ops.Conv2d(dim, dim // 2, 3, padding=1))
elif mode == 'upsample3d':
self.resample = nn.Sequential(
Upsample(scale_factor=(2., 2.), mode='nearest-exact'),
nn.Upsample(scale_factor=(2., 2.), mode='nearest-exact'),
ops.Conv2d(dim, dim // 2, 3, padding=1))
self.time_conv = CausalConv3d(
dim, dim * 2, (3, 1, 1), padding=(1, 0, 0))
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