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8d4232a142 | ||
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d68d04254f |
@@ -58,10 +58,10 @@
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- `Dumas H3 Prompt Curator`
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- Inputs: `action_prompt`, `anatomy_guard`, `subject_count_guard`, optional `anchor`, optional `soundscape`, optional `bgm`, optional `ref_1` through `ref_9`
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- Outputs: `prompt`, `ref_image_1` through `ref_image_9`, `reference_count`, `debug`, `anchor`, `sounds`, `bgm`, `original_ref_1` through `original_ref_9`
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- 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`
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- Builds one standalone MiniMax H3 prompt from your final action text plus structured character/location references.
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- 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.
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- Extra component outputs expose the cleaned anchor, sounds, BGM, and each selected original reference image in compacted order.
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- Extra component outputs expose the cleaned anchor, sounds, BGM, and each selected original reference image plus its compiled reference description in compacted order.
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- 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.
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- `Dumas H3 Shot Length`
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+18
-2
@@ -1253,11 +1253,13 @@ def curate_h3_prompt(
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soundscape_text = _reference_text(soundscape)
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bgm_text = _reference_text(bgm)
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reference_description = ""
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individual_reference_descriptions = []
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if selected:
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reference_description = " ".join(
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individual_reference_descriptions = [
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_reference_context(ref, picture_number)
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for picture_number, (_slot, ref) in enumerate(selected, 1)
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)
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]
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reference_description = " ".join(individual_reference_descriptions)
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prompt_parts = []
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_append_prompt_section(prompt_parts, "Scene anchor", anchor_text)
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@@ -1277,6 +1279,9 @@ def curate_h3_prompt(
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prompt = prompt[: _H3_PROMPT_MAX_CHARS - 3].rstrip() + "..."
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images = [_reference_image(ref) for _slot, ref in selected]
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images.extend([None] * (_H3_PROMPT_REF_SLOTS - len(images)))
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individual_reference_descriptions.extend(
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[""] * (_H3_PROMPT_REF_SLOTS - len(individual_reference_descriptions))
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)
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debug = (
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f"Selected {len(selected)} reference(s): "
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+ ", ".join(
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@@ -1295,6 +1300,7 @@ def curate_h3_prompt(
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soundscape_text,
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bgm_text,
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*images[:_H3_PROMPT_REF_SLOTS],
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*individual_reference_descriptions[:_H3_PROMPT_REF_SLOTS],
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)
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@@ -2687,6 +2693,7 @@ class DumasH3PromptCuratorNode:
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+ ("IMAGE",) * _H3_PROMPT_REF_SLOTS
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+ ("INT", "STRING", "STRING", "STRING", "STRING")
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+ ("IMAGE",) * _H3_PROMPT_REF_SLOTS
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+ ("STRING",) * _H3_PROMPT_REF_SLOTS
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)
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RETURN_NAMES = (
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"prompt",
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@@ -2713,6 +2720,15 @@ class DumasH3PromptCuratorNode:
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"original_ref_7",
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"original_ref_8",
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"original_ref_9",
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"compiled_ref_description_1",
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"compiled_ref_description_2",
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"compiled_ref_description_3",
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"compiled_ref_description_4",
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"compiled_ref_description_5",
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"compiled_ref_description_6",
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"compiled_ref_description_7",
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"compiled_ref_description_8",
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"compiled_ref_description_9",
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)
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FUNCTION = "curate_prompt"
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CATEGORY = "Dumas/MiniMax"
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@@ -0,0 +1,85 @@
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import { app } from "/scripts/app.js";
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const NODE_NAME = "DumasH3PromptCurator";
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const EXPECTED_OUTPUTS = [
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"prompt",
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"ref_image_1",
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"ref_image_2",
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"ref_image_3",
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"ref_image_4",
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"ref_image_5",
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"ref_image_6",
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"ref_image_7",
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"ref_image_8",
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"ref_image_9",
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"reference_count",
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"debug",
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"anchor",
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"sounds",
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"bgm",
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"original_ref_1",
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"original_ref_2",
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"original_ref_3",
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"original_ref_4",
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"original_ref_5",
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"original_ref_6",
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"original_ref_7",
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"original_ref_8",
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"original_ref_9",
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"compiled_ref_description_1",
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"compiled_ref_description_2",
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"compiled_ref_description_3",
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"compiled_ref_description_4",
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"compiled_ref_description_5",
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"compiled_ref_description_6",
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"compiled_ref_description_7",
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"compiled_ref_description_8",
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"compiled_ref_description_9",
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];
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const EXPECTED_NAMES = new Set(EXPECTED_OUTPUTS);
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function pruneStaleOutputs(node) {
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if (!Array.isArray(node.outputs)) return;
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const byName = new Map();
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for (const output of node.outputs) {
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if (!output?.name || !EXPECTED_NAMES.has(output.name) || byName.has(output.name)) continue;
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byName.set(output.name, output);
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}
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const nextOutputs = [];
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for (const name of EXPECTED_OUTPUTS) {
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const existing = byName.get(name);
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if (existing) {
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nextOutputs.push(existing);
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}
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}
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if (nextOutputs.length && nextOutputs.length !== node.outputs.length) {
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node.outputs = nextOutputs;
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node.size = node.computeSize?.() || node.size;
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node.setDirtyCanvas?.(true, true);
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}
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}
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app.registerExtension({
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name: "Dumas.H3PromptCuratorOutputs",
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async beforeRegisterNodeDef(nodeType, nodeData) {
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if (nodeData?.name !== NODE_NAME) return;
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const originalOnNodeCreated = nodeType.prototype.onNodeCreated;
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const originalOnConfigure = nodeType.prototype.onConfigure;
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nodeType.prototype.onNodeCreated = function onNodeCreated() {
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const created = originalOnNodeCreated?.apply(this, arguments);
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pruneStaleOutputs(this);
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return created;
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};
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nodeType.prototype.onConfigure = function onConfigure() {
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const configured = originalOnConfigure?.apply(this, arguments);
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pruneStaleOutputs(this);
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return configured;
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};
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},
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});
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@@ -505,6 +505,11 @@ class DumasImageNodeTests(unittest.TestCase):
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self.assertIs(result[15], dave_image)
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self.assertIs(result[16], cafe_image)
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self.assertIsNone(result[17])
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self.assertIn("<Picture 1> Dave", result[24])
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self.assertNotIn("<Picture 2> Coffee Shop", result[24])
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self.assertIn("<Picture 2> Coffee Shop", result[25])
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self.assertIn("Location context for <Picture 2> Coffee Shop", result[25])
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self.assertEqual(result[26], "")
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def test_h3_prompt_curator_renumbers_explicit_reference_tags(self):
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node = self.image_nodes.DumasH3PromptCuratorNode()
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@@ -642,10 +647,14 @@ class DumasImageNodeTests(unittest.TestCase):
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def test_h3_prompt_curator_uses_documented_reference_limits(self):
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node = self.image_nodes.DumasH3PromptCuratorNode()
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self.assertEqual(len(node.RETURN_TYPES), 24)
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self.assertEqual(len(node.RETURN_TYPES), 33)
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self.assertEqual(node.RETURN_NAMES[1:10], tuple(f"ref_image_{i}" for i in range(1, 10)))
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self.assertEqual(node.RETURN_NAMES[12:15], ("anchor", "sounds", "bgm"))
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self.assertEqual(node.RETURN_NAMES[15:24], tuple(f"original_ref_{i}" for i in range(1, 10)))
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self.assertEqual(
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node.RETURN_NAMES[24:33],
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tuple(f"compiled_ref_description_{i}" for i in range(1, 10)),
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)
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def test_normalize_reference_upgrades_generic_summary_with_socket_picture_id(self):
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image = FakeTensorBatch()
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