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Convert old LoRA format to the new format #3595

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Convert old LoRA format to the new format #3595

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20 changes: 17 additions & 3 deletions demo/Diffusion/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,9 +232,23 @@ def get_dicts(self,
}

else:
# Otherwise, we're dealing with the old format.
warn_message = "You have saved the LoRA weights using the old format. To convert LoRA weights to the new format, first load them in a dictionary and then create a new dictionary as follows: `new_state_dict = {f'unet.{module_name}': params for module_name, params in old_state_dict.items()}`."
print(warn_message)
# Otherwise, convert old LoRA format to the new format.
self.state_dict[path] = {f'unet.{module_name}': params for module_name, params in self.state_dict[path].items()}
keys = list(self.state_dict[path].keys())
if all(key.startswith(('unet', 'text_encoder')) for key in keys):
keys = [k for k in keys if k.startswith(prefix)]
if keys:
print(f"Processing {prefix} LoRA: {path}")
state_dict[path] = {k.replace(f"{prefix}.", ""): v for k, v in self.state_dict[path].items() if k in keys}

if path in self.network_alphas:
if self.network_alphas[path]:
alpha_keys = [k for k in self.network_alphas[path].keys() if k.startswith(prefix)]
network_alphas[path] = {
k.replace(f"{prefix}.", ""): v for k, v in self.network_alphas[path].items() if k in alpha_keys
}
else:
network_alphas[path] = None

return state_dict, network_alphas

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