thank you linter

1 files changed, 3 insertions, 3 deletions

diff --git a/extensions-builtin/Lora/lora.py b/extensions-builtin/Lora/lora.py
index 4b5da7b5..302490fb 100644
--- a/extensions-builtin/Lora/lora.py
+++ b/extensions-builtin/Lora/lora.py
@@ -229,9 +229,9 @@ def load_lora(name, lora_on_disk):
         elif type(sd_module) == torch.nn.Conv2d and weight.shape[2:] == (3, 3):

             module = torch.nn.Conv2d(weight.shape[1], weight.shape[0], (3, 3), bias=False)

         else:

-            print(f'Lora layer {key_diffusers} matched a layer with unsupported type: {type(sd_module).__name__}')

+            print(f'Lora layer {key_lora} matched a layer with unsupported type: {type(sd_module).__name__}')

             continue

-            raise AssertionError(f"Lora layer {key_diffusers} matched a layer with unsupported type: {type(sd_module).__name__}")

+            raise AssertionError(f"Lora layer {key_lora} matched a layer with unsupported type: {type(sd_module).__name__}")

 

         with torch.no_grad():

             module.weight.copy_(weight)

@@ -243,7 +243,7 @@ def load_lora(name, lora_on_disk):
         elif lora_key == "lora_down.weight":

             lora_module.down = module

         else:

-            raise AssertionError(f"Bad Lora layer name: {key_diffusers} - must end in lora_up.weight, lora_down.weight or alpha")

+            raise AssertionError(f"Bad Lora layer name: {key_lora} - must end in lora_up.weight, lora_down.weight or alpha")

 

     if keys_failed_to_match:

         print(f"Failed to match keys when loading Lora {lora_on_disk.filename}: {keys_failed_to_match}")