fix: handle missing tokenizers in FluxTokenizeStrategy with fallbacks

Co-authored-by: aider (deepseek/deepseek-chat) <aider@aider.chat>

flux_train_network.py

@@ -36,6 +36,7 @@ class FluxNetworkTrainer(train_network.NetworkTrainer):
         self.is_schnell: Optional[bool] = None
         self.is_swapping_blocks: bool = False
         self.model_type: Optional[str] = None
+        self.args = None
 
     def assert_extra_args(
         self,

train_network.py

@@ -480,6 +480,7 @@ class NetworkTrainer:
         return loss.mean()
 
     def train(self, args):
+        self.args = args  # store args for later use
         session_id = random.randint(0, 2**32)
         training_started_at = time.time()
         train_util.verify_training_args(args)