Make caption naturalizer graph-friendly

__init__.py

@@ -266,8 +266,9 @@ NODE_INPUT_TOOLTIPS = {
         "nude_weight": "Weight used when explicit nude/body exposure tags are inferred.",
     },
     "SxCPCaptionNaturalizer": {
-        "style_policy": "drop_style_tail removes training/style boilerplate; keep_style_terms preserves more of it.",
+        "metadata_json": "Best input for training captions because it preserves structured generator details.",
-        "include_trigger": "Add the naturalizer trigger to the rewritten caption.",
+        "style_policy": "drop_style_tail removes generation/style boilerplate; keep_style_terms preserves more of it.",
+        "include_trigger": "Keep this true for LoRA/training captions so the trigger token is learned.",
     },
     "SxCPForLoopStart": {
         "index": "Output loop index. First generated index is skip + 1.",
@@ -2106,7 +2107,8 @@ class SxCPCaptionNaturalizer:
                 "include_trigger": ("BOOLEAN", {"default": True}),
             },
             "optional": {
-                "metadata_json": ("STRING", {"default": "", "multiline": True}),
+                "source_text_input": ("STRING", {"forceInput": True}),
+                "metadata_json": ("STRING", {"forceInput": True}),
             },
         }
 
@@ -2123,10 +2125,12 @@ class SxCPCaptionNaturalizer:
         style_policy,
         trigger,
         include_trigger,
+        source_text_input="",
         metadata_json="",
     ):
+        active_source_text = source_text_input or source_text or ""
         return naturalize_caption(
-            source_text=source_text or "",
+            source_text=active_source_text,
             metadata_json=metadata_json or "",
             input_hint=input_hint,
             trigger=trigger,