remove default in qwen-image lora

diffsynth/models/lora.py

@@ -383,5 +383,20 @@ class WanLoRAConverter:
         return state_dict
 
 
+class QwenImageLoRAConverter:
+    def __init__(self):
+        pass
+
+    @staticmethod
+    def align_to_opensource_format(state_dict, **kwargs):
+        state_dict = {name.replace(".default.", "."): param for name, param in state_dict.items()}
+        return state_dict
+    
+    @staticmethod
+    def align_to_diffsynth_format(state_dict, **kwargs):
+        state_dict = {name.replace(".lora_A.weight", ".lora_A.default.weight").replace(".lora_B.weight", ".lora_B.default.weight"): param for name, param in state_dict.items()}
+        return state_dict
+
+
 def get_lora_loaders():
     return [SDLoRAFromCivitai(), SDXLLoRAFromCivitai(), FluxLoRAFromCivitai(), HunyuanVideoLoRAFromCivitai(), GeneralLoRAFromPeft()]

examples/qwen_image/model_training/train.py

@@ -1,6 +1,7 @@
 import torch, os, json
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 from diffsynth.trainers.utils import DiffusionTrainingModule, ImageDataset, ModelLogger, launch_training_task, qwen_image_parser
+from diffsynth.models.lora import QwenImageLoRAConverter
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 
@@ -108,6 +109,7 @@ if __name__ == "__main__":
     model_logger = ModelLogger(
         args.output_path,
         remove_prefix_in_ckpt=args.remove_prefix_in_ckpt,
+        state_dict_converter=QwenImageLoRAConverter.align_to_opensource_format if args.align_to_opensource_format else lambda x:x,
     )
     optimizer = torch.optim.AdamW(model.trainable_modules(), lr=args.learning_rate)
     scheduler = torch.optim.lr_scheduler.ConstantLR(optimizer)