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authorAUTOMATIC1111 <16777216c@gmail.com>2023-01-04 18:39:57 +0300
committerGitHub <noreply@github.com>2023-01-04 18:39:57 +0300
commit37aafdb059fc038df7217a907048f7eb61f0beee (patch)
tree5ddecfd6d96d6bb1fea556a75fff58782ffcec3b /modules/sd_hijack_unet.py
parent4fbdbddc18b21f712acae58bf41740d27023285f (diff)
parenta8eb9e3bf814f72293e474c11e9ff0098859a942 (diff)
Merge branch 'master' into master
Diffstat (limited to 'modules/sd_hijack_unet.py')
-rw-r--r--modules/sd_hijack_unet.py30
1 files changed, 30 insertions, 0 deletions
diff --git a/modules/sd_hijack_unet.py b/modules/sd_hijack_unet.py
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+++ b/modules/sd_hijack_unet.py
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+import torch
+
+
+class TorchHijackForUnet:
+ """
+ This is torch, but with cat that resizes tensors to appropriate dimensions if they do not match;
+ this makes it possible to create pictures with dimensions that are multiples of 8 rather than 64
+ """
+
+ def __getattr__(self, item):
+ if item == 'cat':
+ return self.cat
+
+ if hasattr(torch, item):
+ return getattr(torch, item)
+
+ raise AttributeError("'{}' object has no attribute '{}'".format(type(self).__name__, item))
+
+ def cat(self, tensors, *args, **kwargs):
+ if len(tensors) == 2:
+ a, b = tensors
+ if a.shape[-2:] != b.shape[-2:]:
+ a = torch.nn.functional.interpolate(a, b.shape[-2:], mode="nearest")
+
+ tensors = (a, b)
+
+ return torch.cat(tensors, *args, **kwargs)
+
+
+th = TorchHijackForUnet()