Keep curator auxiliary refs input-aligned

README.md

@@ -58,7 +58,7 @@
   - Outputs: `prompt`, `ref_image_1` through `ref_image_9`, `reference_count`, `debug`, `anchor`, `sounds`, `bgm`, `original_ref_1` through `original_ref_9`, `compiled_ref_description_1` through `compiled_ref_description_9`
   - Builds one standalone MiniMax H3 prompt from your final action text plus structured character/location references.
   - The action text can mention references by character/location name, alias, `<Picture N>`, or `<refN>`. Only mentioned references are emitted, and the output images are compacted/renumbered so skipped inputs do not leave gaps.
-  - Extra component outputs expose the cleaned anchor, sounds, BGM, and each selected original reference image plus its compiled reference description in compacted order.
+  - Extra component outputs expose the cleaned anchor, sounds, BGM, and each connected input reference image plus its compiled reference description in original socket order. These inspection/reuse outputs are not trimmed by the action text; only the final prompt and `ref_image_*` H3 reference outputs are trimmed.
   - Adds curated reference context, anatomy guard text, optional subject-count guard text, anchor/style text, `overall_soundscape:` text, and `background_music:` text while respecting MiniMax H3's reference-generation shape: one prompt plus up to nine reference images.
 
 - `Dumas H3 Shot Length`
@@ -266,7 +266,7 @@ decr  -> use index - 1
 
 `Dumas H3 Plan Attach Scene Images` and `Dumas H3 Plan Extract Scene Images` are a companion pair for `ComfyUI-MiniMaxH3-Contex-Loop` and the local `ref2v` lane. The upstream H3 plan node cannot dynamically grow nine new image sockets for every JSON-defined scene, so Dumas stores scene image bindings beside the plan using a lightweight token and an in-memory registry. That keeps `plan.json` archiving intact while still letting you wire up nine IMAGE sockets per scene through chained helper nodes.
 
-`Dumas Character Helper` is the restored two-image/text helper for general H3 workflows, and `Dumas Location Helper` mirrors it for scene/environment references. Both helpers also emit structured `REFERENCE` sockets for the curator. The structured `Dumas Character Reference` and `Dumas Location Reference` nodes remain available separately for workflows that want a single `REFERENCE` socket. `Dumas H3 Prompt Curator` consumes those structured references plus optional anchor, soundscape, and BGM strings, assigns the final `<Picture N>` numbering, and outputs only the compacted images the prompt actually mentions.
+`Dumas Character Helper` is the restored two-image/text helper for general H3 workflows, and `Dumas Location Helper` mirrors it for scene/environment references. Both helpers also emit structured `REFERENCE` sockets for the curator. The structured `Dumas Character Reference` and `Dumas Location Reference` nodes remain available separately for workflows that want a single `REFERENCE` socket. `Dumas H3 Prompt Curator` consumes those structured references plus optional anchor, soundscape, and BGM strings, assigns the final `<Picture N>` numbering, and outputs compacted `ref_image_*` sockets for only the references the prompt actually mentions. Its `original_ref_*` and `compiled_ref_description_*` outputs mirror the connected input sockets for reuse/debugging even when a reference is not mentioned in the final prompt.
 
 `Dumas Strip Iteration Suffix` keeps the part before the first underscore and drops the rest. Names like `char123_pose_final.png` become `char123.png`, while names with no underscore such as `char123.png` are left untouched.
 

dumas_image_nodes.py

@@ -1253,13 +1253,13 @@ def curate_h3_prompt(
     soundscape_text = _reference_text(soundscape)
     bgm_text = _reference_text(bgm)
     reference_description = ""
-    individual_reference_descriptions = []
+    selected_reference_descriptions = []
     if selected:
-        individual_reference_descriptions = [
+        selected_reference_descriptions = [
             _reference_context(ref, picture_number)
             for picture_number, (_slot, ref) in enumerate(selected, 1)
         ]
-        reference_description = " ".join(individual_reference_descriptions)
+        reference_description = " ".join(selected_reference_descriptions)
 
     prompt_parts = []
     _append_prompt_section(prompt_parts, "Scene anchor", anchor_text)
@@ -1279,9 +1279,16 @@ def curate_h3_prompt(
         prompt = prompt[: _H3_PROMPT_MAX_CHARS - 3].rstrip() + "..."
     images = [_reference_image(ref) for _slot, ref in selected]
     images.extend([None] * (_H3_PROMPT_REF_SLOTS - len(images)))
-    individual_reference_descriptions.extend(
+    original_images = [
-        [""] * (_H3_PROMPT_REF_SLOTS - len(individual_reference_descriptions))
+        _reference_image(ref) if ref is not None else None
-    )
+        for ref in normalized_refs
+    ]
+    original_images.extend([None] * (_H3_PROMPT_REF_SLOTS - len(original_images)))
+    input_reference_descriptions = [
+        _reference_context(ref, slot_number) if ref is not None else ""
+        for slot_number, ref in enumerate(normalized_refs, 1)
+    ]
+    input_reference_descriptions.extend([""] * (_H3_PROMPT_REF_SLOTS - len(input_reference_descriptions)))
     debug = (
         f"Selected {len(selected)} reference(s): "
         + ", ".join(
@@ -1299,8 +1306,8 @@ def curate_h3_prompt(
         anchor_text,
         soundscape_text,
         bgm_text,
-        *images[:_H3_PROMPT_REF_SLOTS],
+        *original_images[:_H3_PROMPT_REF_SLOTS],
-        *individual_reference_descriptions[:_H3_PROMPT_REF_SLOTS],
+        *input_reference_descriptions[:_H3_PROMPT_REF_SLOTS],
     )
 
 

tests/test_dumas_image_nodes.py

@@ -503,13 +503,50 @@ class DumasImageNodeTests(unittest.TestCase):
         self.assertEqual(result[13], "steady rain")
         self.assertEqual(result[14], "low suspense music")
         self.assertIs(result[15], dave_image)
-        self.assertIs(result[16], cafe_image)
+        self.assertIs(result[16], van_image)
-        self.assertIsNone(result[17])
+        self.assertIs(result[17], cafe_image)
         self.assertIn("<Picture 1> Dave", result[24])
         self.assertNotIn("<Picture 2> Coffee Shop", result[24])
-        self.assertIn("<Picture 2> Coffee Shop", result[25])
+        self.assertIn("<Picture 2> Blue Van", result[25])
-        self.assertIn("Location context for <Picture 2> Coffee Shop", result[25])
+        self.assertIn("scuffed blue delivery van", result[25])
-        self.assertEqual(result[26], "")
+        self.assertIn("<Picture 3> Coffee Shop", result[26])
+        self.assertIn("Location context for <Picture 3> Coffee Shop", result[26])
+        self.assertNotIn("Blue Van", prompt)
+
+    def test_h3_prompt_curator_aux_reference_outputs_follow_input_sockets(self):
+        node = self.image_nodes.DumasH3PromptCuratorNode()
+        used_image = FakeTensorBatch()
+        unused_image = FakeTensorBatch()
+        used = self.image_nodes.make_reference(
+            kind="character",
+            image=used_image,
+            name="Maya",
+            description="short silver hair",
+        )
+        unused = self.image_nodes.make_reference(
+            kind="location",
+            image=unused_image,
+            name="Unused Warehouse",
+            description="rusted loading bay doors",
+        )
+
+        result = node.curate_prompt(
+            action_prompt="Maya waits in the rain.",
+            anatomy_guard="off",
+            subject_count_guard="off",
+            ref_1=used,
+            ref_2=unused,
+        )
+
+        self.assertIs(result[1], used_image)
+        self.assertIsNone(result[2])
+        self.assertEqual(result[10], 1)
+        self.assertNotIn("Unused Warehouse", result[0])
+        self.assertIs(result[15], used_image)
+        self.assertIs(result[16], unused_image)
+        self.assertIn("<Picture 1> Maya", result[24])
+        self.assertIn("<Picture 2> Unused Warehouse", result[25])
+        self.assertIn("rusted loading bay doors", result[25])
 
     def test_h3_prompt_curator_renumbers_explicit_reference_tags(self):
         node = self.image_nodes.DumasH3PromptCuratorNode()