Add Insta OF paired prompt mode

This commit is contained in:
2026-06-24 09:36:51 +02:00
parent d342b41810
commit 084702f351
3 changed files with 447 additions and 2 deletions
+37
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@@ -8,6 +8,8 @@ The node is registered as:
- `prompt_builder / SxCP Prompt Builder` - `prompt_builder / SxCP Prompt Builder`
- `prompt_builder / SxCP Seed Control` - `prompt_builder / SxCP Seed Control`
- `prompt_builder / SxCP Caption Naturalizer` - `prompt_builder / SxCP Caption Naturalizer`
- `prompt_builder / SxCP Insta/OF Options`
- `prompt_builder / SxCP Insta/OF Prompt Pair`
It outputs: It outputs:
@@ -41,6 +43,41 @@ It outputs:
- `natural_caption` - `natural_caption`
- `method` - `method`
`SxCP Insta/OF Prompt Pair` is a special paired-output mode. It creates one
shared primary creator descriptor, then returns both a softcore prompt and a
hardcore prompt from that same descriptor. This is useful when you want the same
person/look/scene continuity but need two different prompt strengths.
It outputs:
- `softcore_prompt`
- `hardcore_prompt`
- `softcore_negative_prompt`
- `hardcore_negative_prompt`
- `softcore_caption`
- `hardcore_caption`
- `shared_descriptor`
- `metadata_json`
`SxCP Insta/OF Options` outputs `options_json`, which can be connected to the
pair node. Defaults are set so the softcore prompt is solo while the hardcore
prompt can include partners.
Options:
- `softcore_cast`: `solo` or `same_as_hardcore`.
- `hardcore_cast`: `use_counts`, `couple`, `threesome`, or `group`.
- `hardcore_women_count` and `hardcore_men_count`: used when `hardcore_cast` is
`use_counts`. The pair mode always keeps at least one adult woman as the
primary creator so the shared descriptor remains valid.
- `softcore_level`: `social_tease`, `lingerie_tease`, `implied_nude`, or
`explicit_tease`.
- `hardcore_level`: `explicit` or `hardcore`.
- `platform_style`: `hybrid`, `instagram`, or `onlyfans`.
- `continuity`: `same_creator_same_room` keeps the scene/composition aligned;
`same_creator_new_scene` keeps the same creator descriptor but lets the
hardcore scene use its own setting.
## Built-In Categories ## Built-In Categories
The node keeps the original generator controls: The node keeps the original generator controls:
+146 -2
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@@ -3,10 +3,24 @@ from __future__ import annotations
import json import json
try: try:
from .prompt_builder import build_prompt, build_seed_config_json, category_choices, subcategory_choices from .prompt_builder import (
build_insta_of_options_json,
build_insta_of_pair,
build_prompt,
build_seed_config_json,
category_choices,
subcategory_choices,
)
from .caption_naturalizer import naturalize_caption from .caption_naturalizer import naturalize_caption
except ImportError: except ImportError:
from prompt_builder import build_prompt, build_seed_config_json, category_choices, subcategory_choices from prompt_builder import (
build_insta_of_options_json,
build_insta_of_pair,
build_prompt,
build_seed_config_json,
category_choices,
subcategory_choices,
)
from caption_naturalizer import naturalize_caption from caption_naturalizer import naturalize_caption
@@ -196,14 +210,144 @@ class SxCPCaptionNaturalizer:
) )
class SxCPInstaOFOptions:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"softcore_cast": (["solo", "same_as_hardcore"], {"default": "solo"}),
"hardcore_cast": (["use_counts", "couple", "threesome", "group"], {"default": "use_counts"}),
"hardcore_women_count": ("INT", {"default": 1, "min": 0, "max": 12, "step": 1}),
"hardcore_men_count": ("INT", {"default": 1, "min": 0, "max": 12, "step": 1}),
"softcore_level": (["social_tease", "lingerie_tease", "implied_nude", "explicit_tease"], {"default": "lingerie_tease"}),
"hardcore_level": (["explicit", "hardcore"], {"default": "hardcore"}),
"platform_style": (["hybrid", "instagram", "onlyfans"], {"default": "hybrid"}),
"continuity": (["same_creator_same_room", "same_creator_new_scene"], {"default": "same_creator_same_room"}),
}
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("options_json",)
FUNCTION = "build"
CATEGORY = "prompt_builder"
def build(
self,
softcore_cast,
hardcore_cast,
hardcore_women_count,
hardcore_men_count,
softcore_level,
hardcore_level,
platform_style,
continuity,
):
return (
build_insta_of_options_json(
softcore_cast=softcore_cast,
hardcore_cast=hardcore_cast,
hardcore_women_count=hardcore_women_count,
hardcore_men_count=hardcore_men_count,
softcore_level=softcore_level,
hardcore_level=hardcore_level,
platform_style=platform_style,
continuity=continuity,
),
)
class SxCPInstaOFPromptPair:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"row_number": ("INT", {"default": 1, "min": 1, "max": 1000000, "step": 1}),
"start_index": ("INT", {"default": 41, "min": 1, "max": 1000000, "step": 1}),
"seed": ("INT", {"default": 20260614, "min": 0, "max": 0xFFFFFFFF, "step": 1}),
"ethnicity": (["any", "asian", "white_asian"], {"default": "any"}),
"figure": (["curvy", "balanced", "bombshell"], {"default": "curvy"}),
"no_plus_women": ("BOOLEAN", {"default": False}),
"no_black": ("BOOLEAN", {"default": False}),
"trigger": ("STRING", {"default": "sxcpinup_coloredpencil"}),
"prepend_trigger_to_prompt": ("BOOLEAN", {"default": True}),
},
"optional": {
"seed_config": ("STRING", {"default": "", "multiline": True}),
"options_json": ("STRING", {"default": "", "multiline": True}),
"extra_positive": ("STRING", {"default": "", "multiline": True}),
"extra_negative": ("STRING", {"default": "", "multiline": True}),
},
}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING", "STRING", "STRING")
RETURN_NAMES = (
"softcore_prompt",
"hardcore_prompt",
"softcore_negative_prompt",
"hardcore_negative_prompt",
"softcore_caption",
"hardcore_caption",
"shared_descriptor",
"metadata_json",
)
FUNCTION = "build"
CATEGORY = "prompt_builder"
def build(
self,
row_number,
start_index,
seed,
ethnicity,
figure,
no_plus_women,
no_black,
trigger,
prepend_trigger_to_prompt,
seed_config="",
options_json="",
extra_positive="",
extra_negative="",
):
row = build_insta_of_pair(
row_number=row_number,
start_index=start_index,
seed=seed,
ethnicity=ethnicity,
figure=figure,
no_plus_women=no_plus_women,
no_black=no_black,
trigger=trigger,
prepend_trigger_to_prompt=prepend_trigger_to_prompt,
seed_config=seed_config or "",
options_json=options_json or "",
extra_positive=extra_positive or "",
extra_negative=extra_negative or "",
)
return (
row["softcore_prompt"],
row["hardcore_prompt"],
row["softcore_negative_prompt"],
row["hardcore_negative_prompt"],
row["softcore_caption"],
row["hardcore_caption"],
row["shared_descriptor"],
json.dumps(row, ensure_ascii=True, sort_keys=True),
)
NODE_CLASS_MAPPINGS = { NODE_CLASS_MAPPINGS = {
"SxCPPromptBuilder": SxCPPromptBuilder, "SxCPPromptBuilder": SxCPPromptBuilder,
"SxCPSeedControl": SxCPSeedControl, "SxCPSeedControl": SxCPSeedControl,
"SxCPCaptionNaturalizer": SxCPCaptionNaturalizer, "SxCPCaptionNaturalizer": SxCPCaptionNaturalizer,
"SxCPInstaOFOptions": SxCPInstaOFOptions,
"SxCPInstaOFPromptPair": SxCPInstaOFPromptPair,
} }
NODE_DISPLAY_NAME_MAPPINGS = { NODE_DISPLAY_NAME_MAPPINGS = {
"SxCPPromptBuilder": "SxCP Prompt Builder", "SxCPPromptBuilder": "SxCP Prompt Builder",
"SxCPSeedControl": "SxCP Seed Control", "SxCPSeedControl": "SxCP Seed Control",
"SxCPCaptionNaturalizer": "SxCP Caption Naturalizer", "SxCPCaptionNaturalizer": "SxCP Caption Naturalizer",
"SxCPInstaOFOptions": "SxCP Insta/OF Options",
"SxCPInstaOFPromptPair": "SxCP Insta/OF Prompt Pair",
} }
+264
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@@ -1267,6 +1267,7 @@ def _build_custom_row(
"style": style, "style": style,
"item": item_text, "item": item_text,
"item_label": item_label, "item_label": item_label,
"positive_suffix": positive_suffix,
"custom_item": item_name, "custom_item": item_name,
"item_axis_values": item_axis_values, "item_axis_values": item_axis_values,
"scene_text": scene, "scene_text": scene,
@@ -1379,3 +1380,266 @@ def build_prompt(
row["negative_prompt"] = _combined_negative(row.get("negative_prompt", g.NEGATIVE_PROMPT), extra_negative) row["negative_prompt"] = _combined_negative(row.get("negative_prompt", g.NEGATIVE_PROMPT), extra_negative)
row["trigger"] = active_trigger row["trigger"] = active_trigger
return row return row
INSTA_OF_SOFT_LEVELS = {
"social_tease": "Instagram-style thirst-trap post, suggestive but non-explicit, polished social feed energy",
"lingerie_tease": "premium OF teaser set, lingerie-focused, sensual and intimate but without explicit sex",
"implied_nude": "implied nude creator set, strategically covered body, sensual but no visible sex act",
"explicit_tease": "explicit adult tease, nudity can be visible, but no penetration or partnered sex act",
}
INSTA_OF_HARDCORE_LEVELS = {
"explicit": "explicit adult creator content with clear sexual contact and adult-only framing",
"hardcore": "hardcore adult creator content with anatomically clear sexual contact and intense body language",
}
INSTA_OF_PLATFORM_STYLES = {
"hybrid": "hybrid Instagram-to-OF creator shoot, polished social-media framing with intimate subscriber-content energy",
"instagram": "Instagram-inspired creator shoot, polished mirror-selfie and feed-post aesthetics",
"onlyfans": "OnlyFans-inspired creator shoot, intimate subscriber-view camera and candid premium-content framing",
}
INSTA_OF_NEGATIVE = (
"minors, childlike appearance, teen, underage, schoolgirl, non-consensual, coercion, rape, "
"violence, injury, blood, gore, incest, bestiality, watermark, logo, readable username, social media UI"
)
INSTA_OF_SOFT_NEGATIVE = (
INSTA_OF_NEGATIVE + ", explicit intercourse, penetration, oral sex, cumshot, genital contact, group sex"
)
def build_insta_of_options_json(
softcore_cast: str = "solo",
hardcore_cast: str = "use_counts",
hardcore_women_count: int = 1,
hardcore_men_count: int = 1,
softcore_level: str = "lingerie_tease",
hardcore_level: str = "hardcore",
platform_style: str = "hybrid",
continuity: str = "same_creator_same_room",
) -> str:
return json.dumps(
{
"softcore_cast": softcore_cast,
"hardcore_cast": hardcore_cast,
"hardcore_women_count": int(hardcore_women_count),
"hardcore_men_count": int(hardcore_men_count),
"softcore_level": softcore_level,
"hardcore_level": hardcore_level,
"platform_style": platform_style,
"continuity": continuity,
},
ensure_ascii=True,
sort_keys=True,
)
def _parse_insta_of_options(options_json: str | dict[str, Any] | None) -> dict[str, Any]:
defaults = {
"softcore_cast": "solo",
"hardcore_cast": "use_counts",
"hardcore_women_count": 1,
"hardcore_men_count": 1,
"softcore_level": "lingerie_tease",
"hardcore_level": "hardcore",
"platform_style": "hybrid",
"continuity": "same_creator_same_room",
}
if not options_json:
return defaults
if isinstance(options_json, dict):
raw = options_json
else:
try:
raw = json.loads(str(options_json))
except json.JSONDecodeError as exc:
raise ValueError(f"Invalid Insta/OF options JSON: {exc}") from exc
if not isinstance(raw, dict):
raise ValueError("Insta/OF options must be a JSON object")
parsed = {**defaults, **raw}
parsed["softcore_cast"] = parsed["softcore_cast"] if parsed["softcore_cast"] in ("solo", "same_as_hardcore") else defaults["softcore_cast"]
parsed["hardcore_cast"] = parsed["hardcore_cast"] if parsed["hardcore_cast"] in ("use_counts", "couple", "threesome", "group") else defaults["hardcore_cast"]
parsed["softcore_level"] = parsed["softcore_level"] if parsed["softcore_level"] in INSTA_OF_SOFT_LEVELS else defaults["softcore_level"]
parsed["hardcore_level"] = parsed["hardcore_level"] if parsed["hardcore_level"] in INSTA_OF_HARDCORE_LEVELS else defaults["hardcore_level"]
parsed["platform_style"] = parsed["platform_style"] if parsed["platform_style"] in INSTA_OF_PLATFORM_STYLES else defaults["platform_style"]
parsed["continuity"] = parsed["continuity"] if parsed["continuity"] in ("same_creator_same_room", "same_creator_new_scene") else defaults["continuity"]
for key in ("hardcore_women_count", "hardcore_men_count"):
try:
parsed[key] = max(0, min(12, int(parsed[key])))
except (TypeError, ValueError):
parsed[key] = defaults[key]
return parsed
def _insta_of_hardcore_counts(options: dict[str, Any]) -> tuple[int, int]:
policy = str(options.get("hardcore_cast", "use_counts"))
if policy == "couple":
women_count, men_count = 1, 1
elif policy == "threesome":
women_count, men_count = 2, 1
elif policy == "group":
women_count, men_count = 3, 2
else:
women_count = int(options.get("hardcore_women_count") or 0)
men_count = int(options.get("hardcore_men_count") or 0)
women_count = max(1, min(12, women_count))
men_count = max(0, min(12, men_count))
if women_count + men_count < 2:
men_count = 1
return women_count, men_count
def _insta_of_descriptor(row: dict[str, Any]) -> str:
age = str(row.get("age_band") or row.get("age") or "").strip()
age = " ".join(age.split())
age = age.removesuffix(" adults").removesuffix(" adult").strip()
pieces = [
f"{age} adult woman" if age else "adult woman",
row.get("body_phrase"),
row.get("skin"),
row.get("hair"),
row.get("eyes"),
]
return ", ".join(str(piece).strip() for piece in pieces if piece and str(piece).strip())
def _insta_of_cast_phrase(women_count: int, men_count: int) -> str:
context = _configured_cast_context(women_count, men_count)
return context["cast_summary"]
def _insta_of_active_trigger(prompt: str, trigger: str, enabled: bool) -> str:
return _prepend_trigger(prompt, trigger, enabled)
def build_insta_of_pair(
row_number: int,
start_index: int,
seed: int,
ethnicity: str,
figure: str,
no_plus_women: bool,
no_black: bool,
trigger: str,
prepend_trigger_to_prompt: bool,
seed_config: str | dict[str, Any] | None = None,
options_json: str | dict[str, Any] | None = None,
extra_positive: str = "",
extra_negative: str = "",
) -> dict[str, Any]:
options = _parse_insta_of_options(options_json)
hard_women_count, hard_men_count = _insta_of_hardcore_counts(options)
active_trigger = trigger.strip() or g.TRIGGER
parsed_seed_config = _parse_seed_config(seed_config)
soft_row = build_prompt(
category="Provocative erotic clothes",
subcategory=RANDOM_SUBCATEGORY,
row_number=row_number,
start_index=start_index,
seed=seed,
clothing="minimal",
ethnicity=ethnicity,
poses="evocative",
backside_bias=0.0,
figure=figure,
no_plus_women=no_plus_women,
no_black=no_black,
minimal_clothing_ratio=-1,
standard_pose_ratio=-1,
trigger=active_trigger,
prepend_trigger_to_prompt=False,
extra_positive="",
extra_negative="",
seed_config=parsed_seed_config,
women_count=1,
men_count=0,
)
hard_row = build_prompt(
category="Hardcore sexual poses",
subcategory=RANDOM_SUBCATEGORY,
row_number=row_number,
start_index=start_index,
seed=seed,
clothing="minimal",
ethnicity=ethnicity,
poses="evocative",
backside_bias=0.0,
figure=figure,
no_plus_women=no_plus_women,
no_black=no_black,
minimal_clothing_ratio=-1,
standard_pose_ratio=-1,
trigger=active_trigger,
prepend_trigger_to_prompt=False,
extra_positive="",
extra_negative="",
seed_config=parsed_seed_config,
women_count=hard_women_count,
men_count=hard_men_count,
)
descriptor = _insta_of_descriptor(soft_row)
platform_style = INSTA_OF_PLATFORM_STYLES[options["platform_style"]]
soft_level = INSTA_OF_SOFT_LEVELS[options["softcore_level"]]
hard_level = INSTA_OF_HARDCORE_LEVELS[options["hardcore_level"]]
hard_scene = soft_row["scene_text"] if options["continuity"] == "same_creator_same_room" else hard_row["scene_text"]
hard_composition = soft_row["composition"] if options["continuity"] == "same_creator_same_room" else hard_row["composition"]
soft_cast = (
"solo creator setup; the primary creator is alone in the softcore version"
if options["softcore_cast"] == "solo"
else f"non-explicit teaser setup with the same adult cast as the hardcore version: {_insta_of_cast_phrase(hard_women_count, hard_men_count)}"
)
hard_cast = _insta_of_cast_phrase(hard_women_count, hard_men_count)
soft_prompt = (
f"Insta/OF softcore mode: {platform_style}. Shared primary creator descriptor: {descriptor}. "
f"Softcore setup: {soft_level}. Cast continuity: {soft_cast}. "
f"Outfit: {soft_row['item']}. Pose: {soft_row['pose']}. Setting: {soft_row['scene_text']}. "
f"Facial expression: {soft_row['expression']}. Composition: {soft_row['composition']}. "
"Keep the softcore version adult-only, consensual, seductive, creator-shot, and non-explicit. "
f"{soft_row['positive_suffix']} Avoid: {INSTA_OF_SOFT_NEGATIVE}."
)
hard_prompt = (
f"Insta/OF hardcore mode: {platform_style}. Shared primary creator descriptor: {descriptor}. "
f"Hardcore setup: {hard_level}. Cast: {hard_cast}. "
"Apply the shared descriptor to the most visually central woman, keeping her continuous with the softcore version. "
f"Role graph: {hard_row['role_graph']} Sexual scene: {hard_row['item']}. "
f"Setting: {hard_scene}. Facial expressions: {hard_row['expression']}. Composition: {hard_composition}. "
"All participants are consenting adults 21+. "
f"{hard_row['positive_suffix']} Avoid: {INSTA_OF_NEGATIVE}."
)
if extra_positive.strip():
soft_prompt = f"{soft_prompt.rstrip()} {extra_positive.strip()}"
hard_prompt = f"{hard_prompt.rstrip()} {extra_positive.strip()}"
soft_prompt = _insta_of_active_trigger(soft_prompt, active_trigger, bool(prepend_trigger_to_prompt))
hard_prompt = _insta_of_active_trigger(hard_prompt, active_trigger, bool(prepend_trigger_to_prompt))
soft_negative = _combined_negative(INSTA_OF_SOFT_NEGATIVE, extra_negative)
hard_negative = _combined_negative(INSTA_OF_NEGATIVE, extra_negative)
soft_caption = (
f"{active_trigger}, Insta/OF softcore mode, {descriptor}, {soft_level}, "
f"{soft_row['item']}, {soft_row['pose']}, {soft_row['scene_text']}, {soft_row['composition']}"
)
hard_caption = (
f"{active_trigger}, Insta/OF hardcore mode, same primary creator descriptor, {descriptor}, "
f"{hard_cast}, {hard_row['role_graph']}, {hard_row['item']}, {hard_scene}, {hard_composition}"
)
metadata = {
"mode": "Insta/OF",
"options": options,
"shared_descriptor": descriptor,
"softcore_prompt": soft_prompt,
"hardcore_prompt": hard_prompt,
"softcore_negative_prompt": soft_negative,
"hardcore_negative_prompt": hard_negative,
"softcore_caption": soft_caption,
"hardcore_caption": hard_caption,
"softcore_row": soft_row,
"hardcore_row": hard_row,
"hardcore_women_count": hard_women_count,
"hardcore_men_count": hard_men_count,
}
return metadata