Extract node tooltip policy
This commit is contained in:
+4
-366
@@ -1,9 +1,5 @@
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from __future__ import annotations
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import json
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import random
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import re
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try:
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from aiohttp import web
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from server import PromptServer
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@@ -29,369 +25,11 @@ SXCP_CHARACTER_CAST = "SXCP_CHARACTER_CAST"
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SXCP_CHARACTER_SLOT = "SXCP_CHARACTER_SLOT"
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SXCP_CHARACTER_PROFILE = "SXCP_CHARACTER_PROFILE"
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COMMON_INPUT_TOOLTIPS = {
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"row_number": "Generation row to use. Changing it advances the deterministic selection without changing the main seed.",
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"start_index": "Metadata/output index offset only. It does not limit category pools or random choices.",
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"seed": "Main seed used when no more specific seed config overrides an axis.",
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"global_seed": "One seed that locks all prompt axes so the same inputs can recreate the same result.",
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"base_seed": "Base seed used by Seed Locker before applying a selected reroll axis.",
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"reroll_seed": "Seed for the selected reroll axis. Use -1 to derive it from the base seed.",
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"category": "Main category source. auto_weighted is legacy random; auto_full mixes legacy random with JSON categories including hardcore.",
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"subcategory": "Specific subcategory, or random to choose within the selected category.",
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"category_config": "Category/subcategory config from SxCP Category Preset.",
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"cast_config": "Cast size config from SxCP Cast Control.",
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"generation_profile": "General style/intensity profile from SxCP Generation Profile.",
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"filter_config": "Ethnicity/body filter config. Ethnicity List can feed this too.",
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"ethnicity_list": "Optional ethnicity pool. When connected, it overrides the slot or generator ethnicity picker.",
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"seed_config": "Per-axis seed config. Connect Global Seed, Seed Locker, or Seed Control here.",
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"camera_config": "Camera config used by the prompt formatter when camera mode is from_camera_config.",
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"location_config": "Location config from SxCP Location Pool. It can replace or add to the category scene pool.",
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"composition_config": "Composition config from SxCP Composition Pool or Location Theme. It can replace or add framing options.",
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"softcore_camera_config": "Camera config used only for the softcore Insta/OF prompt. Falls back to camera_config if empty.",
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"hardcore_camera_config": "Camera config used only for the hardcore Insta/OF prompt. Falls back to camera_config if empty.",
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"character_profile": "Saved or loaded single-character profile. Character slots override this for configured casts.",
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"character_cast": "Chain character slots here. The node closest to the final generator becomes the next auto_chain label.",
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"character_slot": "Single slot payload for saving/loading profiles or debugging one character.",
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"hardcore_position_config": "Hardcore action/position config. Chain Position Pool into Action Filter, then into the generator.",
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"custom_locations": "One custom location per line. Use plain text, or slug: location text.",
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"custom_compositions": "One custom composition/framing phrase per line.",
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"theme": "Matched location and composition theme, useful when the place needs compatible framing.",
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"metadata_json": "Structured metadata from an SxCP generator. Prefer this over raw prompt text for formatters and profile save.",
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"source_text": "Raw prompt, caption, or metadata JSON depending on input_hint.",
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"source_text_input": "Optional linked raw prompt/caption input. When connected, it overrides the source_text widget.",
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"input_hint": "Tells the node how to interpret source_text. auto tries metadata first.",
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"target": "For dual prompts, choose which side to output as the main Krea prompt.",
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"detail_level": "Controls how much detail the rewriter keeps. concise is shorter, dense keeps more clauses.",
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"style_mode": "How strongly the formatter rewrites visual style terms.",
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"preserve_trigger": "Keep the trigger token in the formatted prompt instead of stripping it.",
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"negative_prompt": "Negative prompt text to pass through or merge with generated negatives.",
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"extra_positive": "Extra positive text appended after the generated prompt.",
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"extra_negative": "Extra negative text appended after the generated negative prompt.",
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"trigger": "Training or style trigger token.",
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"prepend_trigger_to_prompt": "If enabled, put the trigger token at the start of generated prompts.",
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"bucket_index": "0 picks a random bucket. 1+ picks that position inside the selected orientation pool.",
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"megapixels": "Approximate megapixel count for the selected bucket.",
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"enabled": "Enable this node's effect while keeping it wired in the graph.",
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"combine_mode": "replace starts a new pool/config; add merges selected values into the incoming config.",
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"manual": "Manual character details config. Non-empty manual fields override generated slot details.",
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"characteristics": "Chainable character characteristic pool such as age/body/eyes/clothing.",
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"hair_config": "Chainable hair pool. Combine length, color, and style nodes before the character slot.",
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"summary": "Human-readable description of the config produced by this node.",
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"status": "Operation result or warning text.",
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"profile_name": "Name of the profile to save, load, rename, or delete.",
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"manual_profile_name": "Free-text profile name used when profile_name is set to manual.",
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"fallback_profile_json": "Profile JSON to use when a named profile cannot be loaded.",
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"rename_to": "New profile name used only when rename_now is enabled.",
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"save_now": "Writes the profile to disk only when enabled. Keep off while adjusting fields.",
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"delete_now": "Deletes the selected profile when enabled.",
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"rename_now": "Renames the selected profile when enabled.",
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"source": "Where the save node reads character data from.",
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"subject_type": "Character type for this slot or saved profile.",
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"label": "Character label. auto_chain assigns the next Woman/Man label based on incoming cast order.",
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"slot_seed": "Per-character seed. Use -1 to follow the generator person seed.",
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"age": "Age choice for this slot. Use Age Range node for a custom random age pool.",
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"manual_age": "Exact age phrase override, for example '32-year-old adult'.",
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"ethnicity": "Ethnicity choice for this slot. A connected Ethnicity List overrides this picker.",
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"figure": "General figure bias for generated body descriptors.",
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"figure_bias": "Woman-slot figure bias. Body pool can give more precise body choices.",
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"women_count": "Number of women in the generated cast when no Insta/OF preset overrides it.",
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"men_count": "Number of men in the generated cast when no Insta/OF preset overrides it.",
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"hardcore_women_count": "Number of women in the hardcore cast when hardcore_cast is use_counts.",
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"hardcore_men_count": "Number of men in the hardcore cast when hardcore_cast is use_counts.",
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"body": "Body choice for this slot. A Body Pool node can replace the random list.",
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"manual_body": "Exact body phrase override.",
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"body_phrase": "Full custom body wording. Use only when the body picker is not specific enough.",
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"skin": "Manual skin/complexion phrase.",
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"hair": "Manual hair phrase. Hair config nodes are better for controlled random choices.",
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"eyes": "Manual eye description.",
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"descriptor_detail": "How detailed this character's descriptor should be. Men usually work better compact.",
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"expression_enabled": "Master expression toggle for this generator or character.",
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"expression_intensity": "Expression intensity from 0 to 1. On the direct builder, -1 randomizes per row; on slots, -1 inherits the generator setting.",
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"expression_intensity_mode": "For Generation Profile, choose profile_default, random, or fixed value from expression_intensity.",
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"softcore_expression_intensity": "Optional expression intensity override for this character in softcore prompts. -1 inherits.",
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"hardcore_expression_intensity": "Optional expression intensity override for this character in hardcore prompts. -1 inherits.",
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"presence_mode": "Controls whether the character is visible, implied POV, or otherwise present.",
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"softcore_outfit": "Manual softcore outfit text for this character.",
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"hardcore_clothing": "Manual hardcore clothing/body exposure text for this character.",
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"custom_softcore_outfits": "One custom softcore outfit per line. Used when softcore_source is custom.",
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"custom_hardcore_clothing": "One custom hardcore clothing/body exposure state per line.",
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"condition": "Loop condition. When false, the loop stops and passes current values through.",
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"total": "Total number of loop iterations.",
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"skip": "Number of leading loop indexes to skip. skip=1 starts generation at index 2.",
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"collection": "Existing accumulated value or batch.",
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"value": "Value to append, store, or pass through.",
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"store_key": "Accumulator memory key. Same key shares stored entries across executions.",
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"store_key_input": "Connect SxCP Accumulator store_key here so preview/delete/save uses the same accumulator and graph dependency.",
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"action": "Accumulator operation: append, replace, clear, read, or append a variant.",
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"max_items": "Maximum stored entries kept in this accumulator.",
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"image_batch_mode": "How image entries are batched when dimensions differ.",
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"skip_empty": "Ignore empty inputs instead of adding blank entries.",
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"image": "Image to store in the accumulator.",
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"entry_id": "Stable ID used for replace_by_entry_id or grouping variants.",
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"entry_tag": "Optional suffix added to entry_id.",
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"preview_limit": "Maximum number of accumulator images to show in the preview panel.",
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"view_mode": "Accumulator Preview layout: grid shows many images, carousel shows one large image at a time.",
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"zoom_level": "Accumulator Preview image scale. Higher values make grid thumbnails or carousel image area larger.",
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"carousel_index": "1-based image position shown in carousel mode. The previous/next buttons update this value.",
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"delete_action": "Optional execution-time delete operation. JS buttons can delete interactively without setting this.",
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"delete_entry_id": "Entry id to delete when delete_action is delete_entry_id.",
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"delete_index": "1-based entry index to delete when delete_action is delete_index. 0 disables it.",
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"save_batch": "When enabled, save all current accumulator images once finished is true.",
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"finished": "Gate for saving. Outside a loop, leave true; inside a loop, wire a final-iteration signal.",
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"save_path": "Folder to save the accumulator batch. Relative paths are inside ComfyUI output; absolute paths are used directly.",
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"filename_prefix": "Filename prefix for saved accumulator images.",
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"clear_after_save": "Clear the accumulator store after a successful batch save.",
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"preview_text": "Serialized persistent text preview. It is updated after execution and saved with the workflow.",
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"preview_format": "How to convert an arbitrary input to preview text.",
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"max_chars": "Maximum stored preview characters. 0 disables truncation.",
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"mode": "Switch direction: pick_input selects one input to value, route_output sends route_value to one output.",
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"index": "Index used by SxCP Index Switch. For Loop Start outputs one_based indexes by default.",
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"index_base": "one_based means index 1 selects input_1. zero_based means index 0 selects input_1.",
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"missing_behavior": "What to do when the requested switch input is not connected: use fallback, output none, clamp, or wrap.",
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"fallback": "Optional value used by SxCP Index Switch when the requested input is missing and missing_behavior is fallback.",
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"route_value": "Value routed to output_N when mode is route_output.",
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"clothing": "Built-in clothing density for legacy direct generation. random picks full/minimal from the seeded row.",
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"poses": "Built-in pose pool for legacy direct generation. random picks standard/evocative from the seeded row.",
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"backside_bias": "Legacy bias toward rear/backside poses where that category supports it.",
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"minimal_clothing_ratio": "Legacy weighted ratio override. -1 keeps the category/profile default.",
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"standard_pose_ratio": "Legacy weighted ratio override. -1 keeps the category/profile default.",
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"profile": "Generation profile preset for broad style, clothing, pose, and expression defaults.",
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"clothing_override": "Override the profile clothing setting, or leave profile_default.",
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"poses_override": "Override the profile pose setting, or leave profile_default.",
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"trigger_policy": "Controls whether the profile prepends the trigger token.",
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"cast_mode": "Preset cast shape. Custom counts are used when the preset allows them.",
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"women_weights": "Comma-separated count weights. First value maps to women_start_count, second to +1, and so on.",
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"men_weights": "Comma-separated count weights. First value maps to men_start_count, second to +1, and so on.",
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"women_start_count": "Woman count represented by the first women_weights value.",
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"men_start_count": "Man count represented by the first men_weights value.",
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"empty_behavior": "What to do if the weighted pick selects zero women and zero men.",
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"preset": "Category preset for common workflow lanes.",
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"camera_mode": "Camera style preset.",
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"shot_size": "How much of the body/frame should be visible.",
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"angle": "Camera angle relative to the subject.",
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"lens": "Lens wording to include in the prompt.",
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"distance": "Camera distance wording.",
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"orientation": "Horizontal/vertical framing wording.",
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"phone_visibility": "Whether the prompt mentions a visible/hidden phone.",
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"priority": "How strictly the prompt should enforce the camera wording.",
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"camera_detail": "off omits camera text, compact keeps one line, full emits detailed camera wording.",
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"subject_focus": "Optional camera focus phrase, such as face/body/contact emphasis.",
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"strict_excludes": "When enabled, only selected ethnicity groups are used. When off, selections act more like soft includes.",
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"min_age": "Minimum adult age in this custom age pool.",
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"max_age": "Maximum adult age in this custom age pool.",
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"softcore_source": "Softcore outfit source for this character. custom reads custom_softcore_outfits.",
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"hardcore_state": "Hardcore clothing/body exposure state for this character.",
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"softcore_expression_enabled": "Enable expression text in the softcore prompt.",
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"hardcore_expression_enabled": "Enable expression text in the hardcore prompt.",
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"flow": "Loop flow-control socket. Wire from the matching loop start node.",
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"collection_mode": "How the loop end collects per-iteration values.",
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"skip_none": "Do not add empty values to the collection.",
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"collected": "Current accumulated value carried through the loop.",
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"collect_value": "Value captured from the current loop iteration.",
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"a": "First integer/boolean helper input.",
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"b": "Second integer/boolean helper input.",
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}
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try:
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from .node_tooltips import install_input_tooltips as _install_input_tooltips
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except ImportError:
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from node_tooltips import install_input_tooltips as _install_input_tooltips
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NODE_INPUT_TOOLTIPS = {
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"SxCPSeedControl": {
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"category_seed_mode": "auto/follow_main follows the main seed; fixed uses category_seed; random rerolls this axis each queue.",
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"subcategory_seed_mode": "Controls which subcategory is selected. Change this to switch oral vs penetration when both are allowed.",
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"content_seed_mode": "Controls item/outfit content for non-pose categories.",
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"person_seed_mode": "Controls generated character appearance unless a slot seed overrides it.",
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"scene_seed_mode": "Controls location/scene selection.",
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"pose_seed_mode": "Controls pose/item selection for pose categories, including hardcore positions.",
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"role_seed_mode": "Controls role assignment and secondary action details.",
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"expression_seed_mode": "Controls selected expression text.",
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"composition_seed_mode": "Controls framing/composition text.",
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},
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"SxCPSeedLocker": {
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"reroll_axis": "Choose the one axis to change while the rest stays locked. Use pose for sexual pose, scene for location, person for appearance.",
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},
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"SxCPCastBias": {
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"seed": "Fixed cast-bias seed. Use -1 for a fresh cast each queue, or connect Global Seed/Seed Locker through seed_config.",
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"seed_config": "Optional seed config. The category seed controls weighted cast selection.",
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"women_weights": "Example with women_start_count=1: 0.6,0.25,0.1 means 60% one woman, 25% two women, 10% three women.",
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"men_weights": "Example with men_start_count=0: 0.5,0.35,0.1 means 50% no man, 35% one man, 10% two men.",
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"empty_behavior": "Prevents accidental empty casts when both weighted pools pick zero.",
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},
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"SxCPSDXLBucketSize": {
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"orientation": "Bucket orientation filter. any uses the full table; portrait/square/landscape restrict random selection.",
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"seed": "Fixed bucket seed. Use -1 for a fresh random bucket each queue, or connect Global Seed for reproducible sizes.",
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"row_number": "Deterministic row offset for the bucket. With a fixed seed, changing this advances the bucket choice.",
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"bucket_index": "0=random. 1+ selects that bucket position inside the selected orientation pool and ignores seed.",
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"seed_config": "Optional seed config. The composition seed controls bucket choice, so Seed Locker can keep sizes fixed while rerolling pose/person.",
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},
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"SxCPKrea2ResolutionSelector": {
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"megapixels": "Target megapixel preset. If it cannot fit the aspect ratio under the 2K Krea2 Turbo limit, the node clamps to the maximum valid size.",
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"aspect_ratio": "Krea API ratios are listed first; local-only helper ratios like 8:9 are included after them.",
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},
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"SxCPCameraControl": {
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"camera_mode": "Camera style preset. Use from_camera_config in Insta/OF options to consume this.",
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"priority": "locked makes the camera wording strict; soft_hint allows the model more freedom.",
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"camera_detail": "off omits camera text, compact keeps one short line, full emits detailed camera constraints.",
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"phone_visibility": "Use phone_hidden or suppress_phone_visibility when you do not want 'phone hidden' text in prompts.",
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},
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"SxCPCameraOrbitControl": {
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"horizontal_angle": "Orbit angle in degrees. 0=front, 90=right side, 180=back, 270=left side.",
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"vertical_angle": "Camera elevation. Negative looks up, positive looks down.",
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"zoom": "Maps to distance/framing when framing is from_zoom.",
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"framing": "How zoom should be translated into shot size/distance wording.",
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"include_degrees": "Include numeric degree wording in addition to human camera direction.",
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},
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"SxCPQwenCameraTranslator": {
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"qwen_prompt": "Camera prompt from Qwen MultiAngle, for example '<sks> front-right quarter view eye-level shot medium shot'.",
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"camera_info": "Optional structured camera_info from Qwen MultiAngle. Used before qwen_prompt when prefer_camera_info is true.",
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"prefer_camera_info": "Use structured camera_info values when available instead of parsing the text prompt.",
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"suppress_phone_visibility": "Avoid adding phone visibility text unless you explicitly set a phone option.",
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},
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"SxCPHardcorePositionPool": {
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"family": "Restrict the broad hardcore family. Use any when you want oral and penetration to both be possible.",
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"combine_mode": "replace discards incoming position choices; add merges these choices with the incoming config.",
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"hardcore_position_config": "Optional incoming config. Usually connect previous Position Pool here only when chaining pools.",
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},
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"SxCPHardcoreActionFilter": {
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"focus": "keep_pool preserves/broadens the incoming pool; *_only modes force one action family.",
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"allow_toys": "Allow toy/strap-on wording in hardcore actions.",
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"allow_double": "Allow double-penetration or second-contact wording.",
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"allow_penetration": "Allow vaginal/penetrative sex subcategories.",
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"allow_foreplay": "Allow hardcore teasing/foreplay setup actions such as kissing, caressing, breast/face touching, and undressing.",
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"allow_interaction": "Allow non-act interaction pools such as body worship, clothing transitions, guidance, camera presentation, watching, and aftercare.",
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"allow_manual": "Allow manual stimulation pools such as fingering, clit rubbing, and mutual masturbation.",
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"allow_oral": "Allow oral sex subcategories.",
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"allow_outercourse": "Allow non-penetrative penis-contact acts such as boobjob/titjob, footjob, penis licking, and testicle sucking.",
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"allow_anal": "Allow anal subcategories.",
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"allow_climax": "Allow cumshot/climax aftermath subcategories.",
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},
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"SxCPInstaOFOptions": {
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"softcore_cast": "solo keeps softcore focused on Woman A; same_as_hardcore includes the same cast as the hardcore prompt.",
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"hardcore_cast": "use_counts reads hardcore_women_count/hardcore_men_count; presets set the counts automatically.",
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"softcore_level": "Controls the soft prompt exposure/outfit level.",
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"hardcore_level": "Controls how explicit the hardcore prompt style is.",
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"platform_style": "Instagram/OnlyFans styling bias for the dual prompt pair.",
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"continuity": "Whether the softcore and hardcore prompts share the room/creator setup.",
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"hardcore_clothing_continuity": "How clothing carries from softcore to hardcore. explicit_nude omits clothing references.",
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"softcore_camera_mode": "Camera mode for the softcore prompt, or from_camera_config.",
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"hardcore_camera_mode": "Camera mode for the hardcore prompt. same_as_softcore reuses the softcore setting.",
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"camera_detail": "Global camera verbosity for the pair unless a camera config overrides it.",
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"hardcore_detail_density": "How dense the hardcore action sentence should be in the Krea formatter.",
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},
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"SxCPInstaOFPromptPair": {
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"options_json": "Options from SxCP Insta/OF Options. If empty, defaults are used.",
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"ethnicity": "Fallback ethnicity when no filter/ethnicity list or character slots are connected.",
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"figure": "Fallback figure bias when no character slot overrides it.",
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},
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"SxCPPromptBuilderFromConfigs": {
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"seed": "Main seed. Connect Seed Config for per-axis control.",
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},
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"SxCPCharacterProfileSave": {
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"profile_name": "Profile filename stem. Saving requires save_now=true.",
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"metadata_json": "Use generator metadata to save the currently generated character without regenerating it.",
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"character_slot": "Use this when saving a configured slot directly.",
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},
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"SxCPCharacterProfileLoad": {
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"enabled": "When false, outputs an empty profile and leaves downstream generation unchanged.",
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"override_age": "Optional loaded-profile override. Empty keeps the profile value.",
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"override_body": "Optional body override. Empty keeps the profile value.",
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"override_descriptor_detail": "Override descriptor verbosity while keeping the rest of the loaded profile.",
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},
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"SxCPKrea2Formatter": {
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"metadata_json": "Best input for Krea2 formatting because it preserves cast, camera, and hardcore action metadata.",
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"preserve_trigger": "Reminder: Krea2 formatting is intended to remove training/style triggers. Leave false unless you intentionally want a raw text trigger preserved.",
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"source_text": "Raw prompt fallback. Known trigger tokens are stripped by default for Krea2.",
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},
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"SxCPSDXLFormatter": {
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"metadata_json": "Best input for SDXL tag formatting because it preserves cast, camera, outfit, and explicit action metadata.",
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"formatter_profile": "High-level formatter defaults. manual_controls keeps style_preset and quality_preset authoritative.",
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"style_preset": "Positive style anchor preset. flat_vector_pony matches the old SDXL tag style.",
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"quality_preset": "Quality/score tag tail for SDXL or Pony-style checkpoints.",
|
||||
"custom_style": "Optional replacement for the style preset. Leave empty to use style_preset.",
|
||||
"custom_quality": "Optional replacement for the quality preset. Leave empty to use quality_preset.",
|
||||
"nude_weight": "Weight used when explicit nude/body exposure tags are inferred.",
|
||||
},
|
||||
"SxCPCaptionNaturalizer": {
|
||||
"metadata_json": "Best input for training captions because it preserves structured generator details.",
|
||||
"caption_profile": "Preset behavior for the caption rewrite. manual_controls keeps detail/style/include-trigger widgets authoritative.",
|
||||
"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.",
|
||||
"collected": "Current accumulated value carried through the loop.",
|
||||
},
|
||||
"SxCPLoopAppend": {
|
||||
"mode": "auto_batch tries tensor/latent batching first, then falls back to a list.",
|
||||
},
|
||||
"SxCPAccumulator": {
|
||||
"image_batch_mode": "same_size_only keeps incompatible sizes separate; resize_to_first forces one image batch.",
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _tooltip_for_input(node_name: str, input_name: str) -> str:
|
||||
node_tooltips = NODE_INPUT_TOOLTIPS.get(node_name, {})
|
||||
if input_name in node_tooltips:
|
||||
return node_tooltips[input_name]
|
||||
if input_name in COMMON_INPUT_TOOLTIPS:
|
||||
return COMMON_INPUT_TOOLTIPS[input_name]
|
||||
if input_name.endswith("_seed_mode"):
|
||||
axis = input_name[: -len("_seed_mode")]
|
||||
return f"How the {axis} seed is resolved: follow the main seed, use the fixed field, or reroll randomly."
|
||||
if input_name.endswith("_seed"):
|
||||
axis = input_name[: -len("_seed")]
|
||||
return f"Fixed {axis} seed value. Used only when the matching seed mode is fixed, or as a fallback for auto modes."
|
||||
if input_name.startswith("include_"):
|
||||
value = input_name[len("include_") :].replace("_", " ")
|
||||
return f"Include {value} in this random pool."
|
||||
if input_name.startswith("initial_value"):
|
||||
return "Carry value passed into the loop body and returned on the matching output."
|
||||
if re.match(r"^input_\d+$", input_name):
|
||||
return "Autoscaling switch input. Connect the last visible input to reveal the next one."
|
||||
if re.match(r"^output_\d+$", input_name):
|
||||
return "Autoscaling routed output. Connect the last visible output to reveal the next one."
|
||||
if input_name.startswith("override_"):
|
||||
return "Optional loaded-profile override. Leave empty or keep_profile to preserve the profile value."
|
||||
return ""
|
||||
|
||||
|
||||
def _copy_input_spec_with_tooltip(input_spec, tooltip: str):
|
||||
if not tooltip or not isinstance(input_spec, tuple):
|
||||
return input_spec
|
||||
if len(input_spec) >= 2 and isinstance(input_spec[1], dict):
|
||||
options = dict(input_spec[1])
|
||||
options.setdefault("tooltip", tooltip)
|
||||
return (input_spec[0], options, *input_spec[2:])
|
||||
if len(input_spec) == 1:
|
||||
return (input_spec[0], {"tooltip": tooltip})
|
||||
return input_spec
|
||||
|
||||
|
||||
def _inject_input_tooltips(input_types: dict, node_name: str) -> dict:
|
||||
patched = dict(input_types)
|
||||
for group_name in ("required", "optional"):
|
||||
group = patched.get(group_name)
|
||||
if not isinstance(group, dict):
|
||||
continue
|
||||
patched_group = {}
|
||||
for input_name, input_spec in group.items():
|
||||
patched_group[input_name] = _copy_input_spec_with_tooltip(
|
||||
input_spec,
|
||||
_tooltip_for_input(node_name, input_name),
|
||||
)
|
||||
patched[group_name] = patched_group
|
||||
return patched
|
||||
|
||||
|
||||
def _install_input_tooltips(node_classes: dict[str, type]) -> None:
|
||||
for node_name, node_class in node_classes.items():
|
||||
original = getattr(node_class, "INPUT_TYPES", None)
|
||||
if original is None or getattr(node_class, "_sxcp_tooltips_installed", False):
|
||||
continue
|
||||
|
||||
def input_types(cls, _original=original, _node_name=node_name):
|
||||
return _inject_input_tooltips(_original(), _node_name)
|
||||
|
||||
node_class.INPUT_TYPES = classmethod(input_types)
|
||||
node_class._sxcp_tooltips_installed = True
|
||||
|
||||
try:
|
||||
from .loop_nodes import (
|
||||
|
||||
Reference in New Issue
Block a user