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Fix taesd VAE in lowvram mode.

This commit is contained in:
comfyanonymous 2023-12-26 12:52:21 -05:00
parent 61b3f15f8f
commit f21bb41787
1 changed files with 3 additions and 2 deletions
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5
comfy/taesd/taesd.py
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@ -7,9 +7,10 @@ import torch
import torch.nn as nn
import comfy.utils
import comfy.ops
def conv(n_in, n_out, **kwargs):
return nn.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
return comfy.ops.disable_weight_init.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
class Clamp(nn.Module):
def forward(self, x):
@ -19,7 +20,7 @@ class Block(nn.Module):
def __init__(self, n_in, n_out):
super().__init__()
self.conv = nn.Sequential(conv(n_in, n_out), nn.ReLU(), conv(n_out, n_out), nn.ReLU(), conv(n_out, n_out))
self.skip = nn.Conv2d(n_in, n_out, 1, bias=False) if n_in != n_out else nn.Identity()
self.skip = comfy.ops.disable_weight_init.Conv2d(n_in, n_out, 1, bias=False) if n_in != n_out else nn.Identity()
self.fuse = nn.ReLU()
def forward(self, x):
return self.fuse(self.conv(x) + self.skip(x))