fix invalid args checking in sdxl TI training

library/sdxl_train_util.py

@@ -342,7 +342,7 @@ def add_sdxl_training_arguments(parser: argparse.ArgumentParser):
     )
 
 
-def verify_sdxl_training_args(args: argparse.Namespace):
+def verify_sdxl_training_args(args: argparse.Namespace, supportTextEncoderCaching: bool = True):
     assert not args.v2, "v2 cannot be enabled in SDXL training / SDXL学習ではv2を有効にすることはできません"
     if args.v_parameterization:
         print("v_parameterization will be unexpected / SDXL学習ではv_parameterizationは想定外の動作になります")
@@ -367,12 +367,13 @@ def verify_sdxl_training_args(args: argparse.Namespace):
         not hasattr(args, "weighted_captions") or not args.weighted_captions
     ), "weighted_captions cannot be enabled in SDXL training currently / SDXL学習では今のところweighted_captionsを有効にすることはできません"
 
-    if args.cache_text_encoder_outputs_to_disk and not args.cache_text_encoder_outputs:
-        args.cache_text_encoder_outputs = True
-        print(
-            "cache_text_encoder_outputs is enabled because cache_text_encoder_outputs_to_disk is enabled / "
-            + "cache_text_encoder_outputs_to_diskが有効になっているためcache_text_encoder_outputsが有効になりました"
-        )
+    if supportTextEncoderCaching:
+        if args.cache_text_encoder_outputs_to_disk and not args.cache_text_encoder_outputs:
+            args.cache_text_encoder_outputs = True
+            print(
+                "cache_text_encoder_outputs is enabled because cache_text_encoder_outputs_to_disk is enabled / "
+                + "cache_text_encoder_outputs_to_diskが有効になっているためcache_text_encoder_outputsが有効になりました"
+            )
 
 
 def sample_images(*args, **kwargs):

sdxl_train_textual_inversion.py

@@ -16,7 +16,7 @@ class SdxlTextualInversionTrainer(train_textual_inversion.TextualInversionTraine
 
     def assert_extra_args(self, args, train_dataset_group):
         super().assert_extra_args(args, train_dataset_group)
-        sdxl_train_util.verify_sdxl_training_args(args)
+        sdxl_train_util.verify_sdxl_training_args(args, supportTextEncoderCaching=False)
 
     def load_target_model(self, args, weight_dtype, accelerator):
         (