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thank you linter

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AUTOMATIC1111 2023-07-13 21:19:41 +03:00
parent 6c5f83b19b
commit dc39061856
1 changed files with 3 additions and 3 deletions
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6
extensions-builtin/Lora/lora.py
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@ -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}")