Only quantize flux T5 is also quantizing model. Load TE from original name and path if fine tuning.

toolkit/config_modules.py

@@ -394,6 +394,8 @@ class TrainConfig:
 class ModelConfig:
     def __init__(self, **kwargs):
         self.name_or_path: str = kwargs.get('name_or_path', None)
+        # name or path is updated on fine tuning. Keep a copy of the original
+        self.name_or_path_original: str = self.name_or_path
         self.is_v2: bool = kwargs.get('is_v2', False)
         self.is_xl: bool = kwargs.get('is_xl', False)
         self.is_pixart: bool = kwargs.get('is_pixart', False)