(minor) remove remaining incorrect references to T5 encoder in comments.

invokeai/app/invocations/flux_lora_loader.py

@@ -32,7 +32,7 @@ class FluxLoRALoaderOutput(BaseInvocationOutput):
     classification=Classification.Prototype,
 )
 class FluxLoRALoaderInvocation(BaseInvocation):
-    """Apply a LoRA model to a FLUX transformer and/or T5 encoder."""
+    """Apply a LoRA model to a FLUX transformer and/or text encoder."""
 
     lora: ModelIdentifierField = InputField(
         description=FieldDescriptions.lora_model, title="LoRA", ui_type=UIType.LoRAModel

invokeai/app/invocations/flux_text_encoder.py

@@ -93,7 +93,7 @@ def _clip_encode(self, context: InvocationContext) -> torch.Tensor:
             clip_text_encoder_config = clip_text_encoder_info.config
             assert clip_text_encoder_config is not None
 
-            # Apply LoRA models to the T5 encoder.
+            # Apply LoRA models to the CLIP encoder.
             # Note: We apply the LoRA after the transformer has been moved to its target device for faster patching.
             if clip_text_encoder_config.format in [ModelFormat.Diffusers]:
                 # The model is non-quantized, so we can apply the LoRA weights directly into the model.

invokeai/frontend/web/src/services/api/schema.ts

@@ -6397,7 +6397,7 @@ export type components = {
         };
         /**
          * FLUX LoRA
-         * @description Apply a LoRA model to a FLUX transformer and/or T5 encoder.
+         * @description Apply a LoRA model to a FLUX transformer and/or text encoder.
          */
         FluxLoRALoaderInvocation: {
             /**