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authorAUTOMATIC <16777216c@gmail.com>2022-12-10 06:14:30 +0000
committerAUTOMATIC <16777216c@gmail.com>2022-12-10 06:14:45 +0000
commit7dbfd8a7d8aefec7283b456c6f5b000ae4d3496d (patch)
tree1fbb4d81ced27863380f8fab80305519b8014e59 /modules/sd_hijack_unet.py
parent2641d1b83bca6961ab1367fd9b67ebd8a94af35b (diff)
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do not replace entire unet for the resolution hack
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 muliples 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()