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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-08-28 12:03:46 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-28 12:03:46 +0000 |
| commit | 9e14cac3182b53173f1c356f2f13bd1cb0cedc89 (patch) | |
| tree | 12b4e04a8f17c4275c26bc23870cab0535e053e0 /extensions-builtin/Lora/lora_patches.py | |
| parent | f898833ea38718e87b39ab090b2a2325638559cb (diff) | |
| parent | 8632452627e1341bcd447dbec3c1516f319200a0 (diff) | |
| download | stable-diffusion-webui-gfx803-9e14cac3182b53173f1c356f2f13bd1cb0cedc89.tar.gz stable-diffusion-webui-gfx803-9e14cac3182b53173f1c356f2f13bd1cb0cedc89.tar.bz2 stable-diffusion-webui-gfx803-9e14cac3182b53173f1c356f2f13bd1cb0cedc89.zip | |
Merge branch 'dev' into patch-1
Diffstat (limited to 'extensions-builtin/Lora/lora_patches.py')
| -rw-r--r-- | extensions-builtin/Lora/lora_patches.py | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/extensions-builtin/Lora/lora_patches.py b/extensions-builtin/Lora/lora_patches.py new file mode 100644 index 00000000..b394d8e9 --- /dev/null +++ b/extensions-builtin/Lora/lora_patches.py @@ -0,0 +1,31 @@ +import torch
+
+import networks
+from modules import patches
+
+
+class LoraPatches:
+ def __init__(self):
+ self.Linear_forward = patches.patch(__name__, torch.nn.Linear, 'forward', networks.network_Linear_forward)
+ self.Linear_load_state_dict = patches.patch(__name__, torch.nn.Linear, '_load_from_state_dict', networks.network_Linear_load_state_dict)
+ self.Conv2d_forward = patches.patch(__name__, torch.nn.Conv2d, 'forward', networks.network_Conv2d_forward)
+ self.Conv2d_load_state_dict = patches.patch(__name__, torch.nn.Conv2d, '_load_from_state_dict', networks.network_Conv2d_load_state_dict)
+ self.GroupNorm_forward = patches.patch(__name__, torch.nn.GroupNorm, 'forward', networks.network_GroupNorm_forward)
+ self.GroupNorm_load_state_dict = patches.patch(__name__, torch.nn.GroupNorm, '_load_from_state_dict', networks.network_GroupNorm_load_state_dict)
+ self.LayerNorm_forward = patches.patch(__name__, torch.nn.LayerNorm, 'forward', networks.network_LayerNorm_forward)
+ self.LayerNorm_load_state_dict = patches.patch(__name__, torch.nn.LayerNorm, '_load_from_state_dict', networks.network_LayerNorm_load_state_dict)
+ self.MultiheadAttention_forward = patches.patch(__name__, torch.nn.MultiheadAttention, 'forward', networks.network_MultiheadAttention_forward)
+ self.MultiheadAttention_load_state_dict = patches.patch(__name__, torch.nn.MultiheadAttention, '_load_from_state_dict', networks.network_MultiheadAttention_load_state_dict)
+
+ def undo(self):
+ self.Linear_forward = patches.undo(__name__, torch.nn.Linear, 'forward')
+ self.Linear_load_state_dict = patches.undo(__name__, torch.nn.Linear, '_load_from_state_dict')
+ self.Conv2d_forward = patches.undo(__name__, torch.nn.Conv2d, 'forward')
+ self.Conv2d_load_state_dict = patches.undo(__name__, torch.nn.Conv2d, '_load_from_state_dict')
+ self.GroupNorm_forward = patches.undo(__name__, torch.nn.GroupNorm, 'forward')
+ self.GroupNorm_load_state_dict = patches.undo(__name__, torch.nn.GroupNorm, '_load_from_state_dict')
+ self.LayerNorm_forward = patches.undo(__name__, torch.nn.LayerNorm, 'forward')
+ self.LayerNorm_load_state_dict = patches.undo(__name__, torch.nn.LayerNorm, '_load_from_state_dict')
+ self.MultiheadAttention_forward = patches.undo(__name__, torch.nn.MultiheadAttention, 'forward')
+ self.MultiheadAttention_load_state_dict = patches.undo(__name__, torch.nn.MultiheadAttention, '_load_from_state_dict')
+
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