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authorAUTOMATIC1111 <16777216c@gmail.com>2023-01-04 14:40:19 +0000
committerGitHub <noreply@github.com>2023-01-04 14:40:19 +0000
commitda5c1e8a732c173ed8ccda9fa32f9a194ff91ab6 (patch)
treea2eec9c47e820e7ab351337f73c99d874b4b904f /modules/sd_hijack_unet.py
parentcffc240a7327ae60671ff533469fc4ed4bf605de (diff)
parent47df0849019abac6722c49512f4dd2285bff5b7d (diff)
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Merge branch 'master' into inpaint_textual_inversion
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-rw-r--r--modules/sd_hijack_unet.py30
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diff --git a/modules/sd_hijack_unet.py 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()