diff --git a/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py b/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py
index ccc390ab7b2c..92d296c0f1e8 100644
--- a/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py
+++ b/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py
@@ -1650,6 +1650,8 @@ def save_model_hook(models, weights, output_dir):
                 elif isinstance(model, type(unwrap_model(text_encoder_one))):
                     if args.train_text_encoder:  # when --train_text_encoder_ti we don't save the layers
                         text_encoder_one_lora_layers_to_save = get_peft_model_state_dict(model)
+                elif isinstance(model, type(unwrap_model(text_encoder_two))):
+                    pass  # when --train_text_encoder_ti and --enable_t5_ti we don't save the layers
                 else:
                     raise ValueError(f"unexpected save model: {model.__class__}")