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main/lpw_stable_diffusion_xl.py
CHANGED
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@@ -2165,7 +2165,7 @@ class SDXLLongPromptWeightingPipeline(
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@classmethod
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def save_lora_weights(
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-
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save_directory: Union[str, os.PathLike],
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unet_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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text_encoder_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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@@ -2188,7 +2188,7 @@ class SDXLLongPromptWeightingPipeline(
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state_dict.update(pack_weights(text_encoder_lora_layers, "text_encoder"))
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state_dict.update(pack_weights(text_encoder_2_lora_layers, "text_encoder_2"))
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-
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state_dict=state_dict,
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save_directory=save_directory,
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is_main_process=is_main_process,
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@classmethod
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def save_lora_weights(
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cls,
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save_directory: Union[str, os.PathLike],
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unet_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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text_encoder_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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state_dict.update(pack_weights(text_encoder_lora_layers, "text_encoder"))
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state_dict.update(pack_weights(text_encoder_2_lora_layers, "text_encoder_2"))
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cls.write_lora_layers(
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state_dict=state_dict,
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save_directory=save_directory,
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is_main_process=is_main_process,
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main/pipeline_demofusion_sdxl.py
CHANGED
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@@ -1339,7 +1339,7 @@ class DemoFusionSDXLPipeline(
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@classmethod
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def save_lora_weights(
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-
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save_directory: Union[str, os.PathLike],
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unet_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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text_encoder_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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@@ -1368,7 +1368,7 @@ class DemoFusionSDXLPipeline(
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state_dict.update(pack_weights(text_encoder_lora_layers, "text_encoder"))
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state_dict.update(pack_weights(text_encoder_2_lora_layers, "text_encoder_2"))
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-
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state_dict=state_dict,
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save_directory=save_directory,
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is_main_process=is_main_process,
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@classmethod
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def save_lora_weights(
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cls,
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save_directory: Union[str, os.PathLike],
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unet_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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text_encoder_lora_layers: Dict[str, Union[torch.nn.Module, torch.Tensor]] = None,
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state_dict.update(pack_weights(text_encoder_lora_layers, "text_encoder"))
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state_dict.update(pack_weights(text_encoder_2_lora_layers, "text_encoder_2"))
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cls.write_lora_layers(
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state_dict=state_dict,
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save_directory=save_directory,
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is_main_process=is_main_process,
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