Simplify H3 prompt curator component outputs

README.md

@@ -58,10 +58,10 @@
 
 - `Dumas H3 Prompt Curator`
   - Inputs: `action_prompt`, `anatomy_guard`, `subject_count_guard`, optional `anchor`, optional `soundscape`, optional `bgm`, optional `ref_1` through `ref_9`
-  - Outputs: `prompt`, `ref_image_1` through `ref_image_9`, `reference_count`, `debug`, `anchor`, `sounds`, `bgm`, `original_ref_1` through `original_ref_9`, `reference_description`
+  - Outputs: `prompt`, `ref_image_1` through `ref_image_9`, `reference_count`, `debug`, `anchor`, `sounds`, `bgm`, `original_ref_1` through `original_ref_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, selected structured references in compacted order, and the compiled reference-description block used inside the prompt.
+  - Extra component outputs expose the cleaned anchor, sounds, BGM, and each selected original reference image in compacted order.
   - 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`

dumas_image_nodes.py

@@ -1277,8 +1277,6 @@ 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)))
-    selected_refs = [ref for _slot, ref in selected]
-    selected_refs.extend([None] * (_H3_PROMPT_REF_SLOTS - len(selected_refs)))
     debug = (
         f"Selected {len(selected)} reference(s): "
         + ", ".join(
@@ -1296,8 +1294,7 @@ def curate_h3_prompt(
         anchor_text,
         soundscape_text,
         bgm_text,
-        *selected_refs[:_H3_PROMPT_REF_SLOTS],
+        *images[:_H3_PROMPT_REF_SLOTS],
-        reference_description,
     )
 
 
@@ -2689,8 +2686,7 @@ class DumasH3PromptCuratorNode:
         ("STRING",)
         + ("IMAGE",) * _H3_PROMPT_REF_SLOTS
         + ("INT", "STRING", "STRING", "STRING", "STRING")
-        + (_REFERENCE_TYPE,) * _H3_PROMPT_REF_SLOTS
+        + ("IMAGE",) * _H3_PROMPT_REF_SLOTS
-        + ("STRING",)
     )
     RETURN_NAMES = (
         "prompt",
@@ -2717,7 +2713,6 @@ class DumasH3PromptCuratorNode:
         "original_ref_7",
         "original_ref_8",
         "original_ref_9",
-        "reference_description",
     )
     FUNCTION = "curate_prompt"
     CATEGORY = "Dumas/MiniMax"

tests/test_dumas_image_nodes.py

@@ -502,14 +502,9 @@ class DumasImageNodeTests(unittest.TestCase):
         self.assertEqual(result[12], "grounded handheld thriller")
         self.assertEqual(result[13], "steady rain")
         self.assertEqual(result[14], "low suspense music")
-        self.assertEqual(result[15]["name"], "Dave")
+        self.assertIs(result[15], dave_image)
-        self.assertIs(result[15]["image"], dave_image)
+        self.assertIs(result[16], cafe_image)
-        self.assertEqual(result[16]["name"], "Coffee Shop")
-        self.assertIs(result[16]["image"], cafe_image)
         self.assertIsNone(result[17])
-        self.assertIn("<Picture 1> Dave", result[24])
-        self.assertIn("<Picture 2> Coffee Shop", result[24])
-        self.assertIn("Location context for <Picture 2> Coffee Shop", result[24])
 
     def test_h3_prompt_curator_renumbers_explicit_reference_tags(self):
         node = self.image_nodes.DumasH3PromptCuratorNode()
@@ -647,11 +642,10 @@ class DumasImageNodeTests(unittest.TestCase):
 
     def test_h3_prompt_curator_uses_documented_reference_limits(self):
         node = self.image_nodes.DumasH3PromptCuratorNode()
-        self.assertEqual(len(node.RETURN_TYPES), 25)
+        self.assertEqual(len(node.RETURN_TYPES), 24)
         self.assertEqual(node.RETURN_NAMES[1:10], tuple(f"ref_image_{i}" for i in range(1, 10)))
         self.assertEqual(node.RETURN_NAMES[12:15], ("anchor", "sounds", "bgm"))
         self.assertEqual(node.RETURN_NAMES[15:24], tuple(f"original_ref_{i}" for i in range(1, 10)))
-        self.assertEqual(node.RETURN_NAMES[24], "reference_description")
 
     def test_normalize_reference_upgrades_generic_summary_with_socket_picture_id(self):
         image = FakeTensorBatch()