Compare commits
| Author | SHA1 | Date | |
|---|---|---|---|
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|
98833ba99d |
@@ -76,6 +76,16 @@
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- Output: `reference`
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- Builds one structured `REFERENCE` object for a location/environment so H3 can use the same socket type for both character and scenic refs.
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- `Dumas Character Helper`
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- Inputs: `image1`, `image2`, picture IDs, character identity fields, `general`, `wardrobe`
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- Outputs: `image1`, `image2`, `reference_prompt`, `wardrobe`
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- Restores the original general-purpose helper shape: pass two images through unchanged and emit prompt text/wardrobe text for manual wiring.
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- `Dumas Location Helper`
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- Inputs: `image1`, `image2`, picture IDs, `location_id`, `name`, `alias`, `description`, `general`
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- Outputs: `image1`, `image2`, `reference_prompt`
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- Matching general-purpose helper for environments/locations: pass two images through unchanged and emit location reference prompt text.
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- `Dumas Anchor Style`
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- Inputs: `anchor_style`, `style_description`
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- Output: `anchor`
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@@ -239,7 +249,7 @@ decr -> use index - 1
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`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.
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`Dumas Character Reference` and `Dumas Location Reference` live in `Dumas/MiniMax`. Both output a structured `REFERENCE` object that carries the image plus its semantic payload. `Dumas H3 Long Videos` accepts those `REFERENCE` sockets directly on `ref_1`..`ref_9`, resolves `<Picture N>` against the wired slot positions, and can also pull character wardrobe context from the structured ref data when `character_memory` is left blank.
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`Dumas Character Helper` is the restored two-image/text helper for general H3 workflows, and `Dumas Location Helper` mirrors it for scene/environment references. The structured `Dumas Character Reference` and `Dumas Location Reference` nodes remain available separately for workflows that still want a single `REFERENCE` socket.
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`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.
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+333
-4
@@ -1042,6 +1042,65 @@ def _build_character_wardrobe_text(wardrobe, character_id, name, alias):
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return text
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def _label_for_location(name, location_id):
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return _normalize_free_text(name) or _normalize_free_text(location_id) or "the location"
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def _build_location_helper_text(
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primary_picture_id,
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secondary_picture_id,
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location_id,
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name,
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alias,
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description,
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general,
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):
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primary_picture = int(primary_picture_id)
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secondary_picture = int(secondary_picture_id)
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location_name = _normalize_free_text(name)
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location_id = _normalize_free_text(location_id)
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alias = _normalize_free_text(alias)
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description = _ensure_sentence(description)
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general = _ensure_sentence(general)
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location_label = _label_for_location(location_name, location_id)
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if location_name:
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first_line = (
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f"<Picture {primary_picture}> and <Picture {secondary_picture}> reference "
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f"the same location called {location_name}."
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)
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elif location_id:
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first_line = (
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f"<Picture {primary_picture}> and <Picture {secondary_picture}> reference "
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f'the same location with ID "{location_id}".'
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)
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else:
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first_line = (
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f"<Picture {primary_picture}> and <Picture {secondary_picture}> reference "
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"the same location."
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)
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lines = [
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first_line,
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f"<Picture {primary_picture}> is the primary wide/environment reference for {location_label}.",
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f"<Picture {secondary_picture}> is the secondary detail/angle reference for {location_label}.",
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]
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facts = []
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if alias:
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facts.append(f"is also known as {alias}")
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if description:
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facts.append(description)
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if facts:
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lines.append(f"{location_label} {', '.join(facts)}")
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if general:
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lines.append(general)
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return "\n".join(lines)
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class DumasImageCompareNode:
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DESCRIPTION = (
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"Dumas Image Compare shows the difference between two images directly on "
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@@ -1604,6 +1663,274 @@ class DumasH3PlanExtractSceneImagesNode:
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return (passthrough_plan, *images, _connected_image_count(images))
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class DumasCharacterHelperNode:
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DESCRIPTION = (
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"Build a general character reference prompt and wardrobe sheet from two "
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"IMAGE sockets plus simple identity fields, while passing both images "
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"through unchanged."
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)
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RETURN_TYPES = ("IMAGE", "IMAGE", "STRING", "STRING")
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RETURN_NAMES = ("image1", "image2", "reference_prompt", "wardrobe")
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FUNCTION = "build_character_text"
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CATEGORY = "Dumas/MiniMax"
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image1": ("IMAGE", {"tooltip": "Primary image to pass through and describe."}),
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"image2": ("IMAGE", {"tooltip": "Secondary image to pass through and describe."}),
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"image1_picture_id": (
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["1", "2", "3", "4", "5", "6", "7", "8", "9"],
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{
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"default": "1",
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"tooltip": "Picture number to mention for image1 in the reference prompt.",
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},
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),
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"image2_picture_id": (
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["1", "2", "3", "4", "5", "6", "7", "8", "9"],
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{
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"default": "2",
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"tooltip": "Picture number to mention for image2 in the reference prompt.",
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},
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),
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"character_id": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional character ID string to include in the output text.",
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},
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),
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"name": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Character name used in the main reference sentences.",
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},
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),
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"alias": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional alternate name, codename, or nickname.",
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},
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),
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"gender": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional gender field for non-visual character facts.",
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},
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),
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"age": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional numeric age. Invalid values are omitted.",
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},
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),
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"nationality": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional nationality, origin, or cultural background.",
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},
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),
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"occupation": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional job, role, or function that is not visually obvious.",
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},
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),
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"height_feet": (
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["", "3", "4", "5", "6", "7", "8"],
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{
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"default": "",
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"tooltip": "Optional feet component for the character's height.",
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},
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),
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"height_inches": (
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["", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11"],
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{
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"default": "",
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"tooltip": "Optional inches component for the character's height.",
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},
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),
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"accent": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional short accent description.",
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},
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),
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"general": (
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"STRING",
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{
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"default": "",
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"multiline": True,
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"tooltip": "Optional non-clothing details appended as the last sentence of the reference prompt.",
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},
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),
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"wardrobe": (
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"STRING",
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{
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"default": "",
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"multiline": True,
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"tooltip": "Optional wardrobe/channel text. Plain clothing lists are auto-wrapped as 'Name = ...' when a name, alias, or character ID is present.",
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},
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),
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}
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}
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def build_character_text(
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self,
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image1,
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image2,
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image1_picture_id,
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image2_picture_id,
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character_id,
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name,
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alias,
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gender,
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age,
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nationality,
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occupation,
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height_feet,
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height_inches,
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accent,
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general,
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wardrobe,
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):
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text = _build_character_helper_text(
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image1_picture_id,
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image2_picture_id,
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character_id,
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name,
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alias,
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gender,
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age,
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nationality,
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occupation,
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height_feet,
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height_inches,
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accent,
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general,
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)
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wardrobe_text = _build_character_wardrobe_text(
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wardrobe,
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character_id,
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name,
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alias,
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)
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return (image1, image2, text, wardrobe_text)
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class DumasLocationHelperNode:
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DESCRIPTION = (
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"Build a general location reference prompt from two IMAGE sockets plus "
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"simple environment fields, while passing both images through unchanged."
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)
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RETURN_TYPES = ("IMAGE", "IMAGE", "STRING")
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RETURN_NAMES = ("image1", "image2", "reference_prompt")
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FUNCTION = "build_location_text"
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CATEGORY = "Dumas/MiniMax"
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image1": ("IMAGE", {"tooltip": "Primary location image to pass through and describe."}),
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"image2": ("IMAGE", {"tooltip": "Secondary location image to pass through and describe."}),
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"image1_picture_id": (
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["1", "2", "3", "4", "5", "6", "7", "8", "9"],
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{
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"default": "1",
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"tooltip": "Picture number to mention for image1 in the reference prompt.",
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},
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),
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"image2_picture_id": (
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["1", "2", "3", "4", "5", "6", "7", "8", "9"],
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{
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"default": "2",
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"tooltip": "Picture number to mention for image2 in the reference prompt.",
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},
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),
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"location_id": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional location ID string to include in the output text.",
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},
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),
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"name": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Location name used in the main reference sentences.",
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},
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),
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"alias": (
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"STRING",
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{
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"default": "",
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"multiline": False,
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"tooltip": "Optional alternate name, label, or area name.",
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},
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),
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"description": (
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"STRING",
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{
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"default": "",
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"multiline": True,
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"tooltip": "Persistent environment, layout, and atmosphere description.",
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},
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),
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"general": (
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"STRING",
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{
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"default": "",
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"multiline": True,
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"tooltip": "Optional extra notes appended as the last sentence of the reference prompt.",
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},
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),
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}
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}
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def build_location_text(
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self,
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image1,
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image2,
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image1_picture_id,
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image2_picture_id,
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location_id,
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name,
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alias,
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description,
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general,
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):
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text = _build_location_helper_text(
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image1_picture_id,
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image2_picture_id,
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location_id,
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name,
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alias,
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description,
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general,
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)
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return (image1, image2, text)
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class DumasCharacterReferenceNode:
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DESCRIPTION = (
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"Build one structured REFERENCE object for a character so H3 can carry "
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@@ -1888,8 +2215,9 @@ NODE_CLASS_MAPPINGS = {
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"DumasCharacterReference": DumasCharacterReferenceNode,
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"DumasLocationReference": DumasLocationReferenceNode,
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"DumasAnchorStyle": DumasAnchorStyleNode,
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"DumasCharacterHelper": DumasCharacterReferenceNode,
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"DumasH3CharacterHelper": DumasCharacterReferenceNode,
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"DumasCharacterHelper": DumasCharacterHelperNode,
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"DumasLocationHelper": DumasLocationHelperNode,
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"DumasH3CharacterHelper": DumasCharacterHelperNode,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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@@ -1901,6 +2229,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"DumasCharacterReference": "Dumas Character Reference",
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"DumasLocationReference": "Dumas Location Reference",
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"DumasAnchorStyle": "Dumas Anchor Style",
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"DumasCharacterHelper": "Dumas Character Reference",
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"DumasH3CharacterHelper": "Dumas Character Reference",
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"DumasCharacterHelper": "Dumas Character Helper",
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"DumasLocationHelper": "Dumas Location Helper",
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"DumasH3CharacterHelper": "Dumas Character Helper",
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}
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@@ -356,6 +356,71 @@ class DumasImageNodeTests(unittest.TestCase):
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required = self.image_nodes.DumasLocationReferenceNode.INPUT_TYPES()["required"]
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self.assertNotIn("picture_id", required)
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def test_character_helper_restores_image_and_text_outputs(self):
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node = self.image_nodes.DumasCharacterHelperNode()
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image1 = FakeTensorBatch()
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image2 = FakeTensorBatch()
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result = node.build_character_text(
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image1=image1,
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image2=image2,
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image1_picture_id="1",
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image2_picture_id="2",
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character_id="char_dave",
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name="Dave",
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alias="The Locksmith",
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gender="male",
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age="41",
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nationality="English",
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occupation="a detective",
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height_feet="6",
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height_inches="2",
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accent="English",
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general="Moves carefully and notices every exit",
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wardrobe="weathered red flight jacket, grey cargo shorts, black boots",
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)
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self.assertIs(result[0], image1)
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self.assertIs(result[1], image2)
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self.assertIn("<Picture 1> and <Picture 2> reference the same character", result[2])
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self.assertIn("Dave is also known as The Locksmith", result[2])
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self.assertIn("is 41 years old", result[2])
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self.assertEqual(result[3], "Dave = weathered red flight jacket, grey cargo shorts, black boots")
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def test_location_helper_matches_character_helper_shape_without_wardrobe(self):
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node = self.image_nodes.DumasLocationHelperNode()
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image1 = FakeTensorBatch()
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image2 = FakeTensorBatch()
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result = node.build_location_text(
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image1=image1,
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image2=image2,
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image1_picture_id="3",
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image2_picture_id="4",
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location_id="coffee-shop-01",
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name="Coffee Shop",
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alias="Cafe Interior",
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description="Warm tungsten lighting, narrow counter, rainy front window",
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general="Evening ambience, cramped but cozy",
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)
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self.assertIs(result[0], image1)
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self.assertIs(result[1], image2)
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self.assertIn("<Picture 3> and <Picture 4> reference the same location", result[2])
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self.assertIn("Coffee Shop is also known as Cafe Interior", result[2])
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self.assertIn("Warm tungsten lighting, narrow counter, rainy front window.", result[2])
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self.assertIn("Evening ambience, cramped but cozy.", result[2])
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self.assertEqual(len(result), 3)
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def test_helper_node_mappings_use_general_purpose_helpers(self):
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mappings = self.image_nodes.NODE_CLASS_MAPPINGS
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display = self.image_nodes.NODE_DISPLAY_NAME_MAPPINGS
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self.assertIs(mappings["DumasCharacterHelper"], self.image_nodes.DumasCharacterHelperNode)
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self.assertIs(mappings["DumasLocationHelper"], self.image_nodes.DumasLocationHelperNode)
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self.assertEqual(display["DumasCharacterHelper"], "Dumas Character Helper")
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self.assertEqual(display["DumasLocationHelper"], "Dumas Location Helper")
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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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Reference in New Issue
Block a user