Add caption naturalizer profiles

README.md

@@ -436,6 +436,9 @@ pool and intensity settings.
 Naturalizer controls:
 
 - `input_hint`: `auto`, `metadata_json`, or `caption_or_prompt`.
+- `caption_profile`: `manual_controls` keeps the detail/style/trigger widgets
+  authoritative; `training_concise`, `training_dense`, and `browsing` apply
+  preset caption behavior.
 - `detail_level`: `concise`, `balanced`, or `dense`.
 - `style_policy`: `drop_style_tail` removes old fixed style tails; `keep_style_terms`
   keeps style descriptions in the rewritten text.

__init__.py

@@ -309,6 +309,7 @@ NODE_INPUT_TOOLTIPS = {
     },
     "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.",
     },

caption_naturalizer.py

@@ -627,10 +627,16 @@ def naturalize_caption(
     include_trigger: bool = True,
     detail_level: str = "balanced",
     style_policy: str = "drop_style_tail",
+    caption_profile: str = caption_policy.CAPTION_PROFILE_DEFAULT,
 ) -> tuple[str, str]:
     """Rewrite tag-style prompt/caption text into compact natural language."""
     input_hint = input_hint if input_hint in ("auto", "metadata_json", "caption_or_prompt") else "auto"
-    detail_level = caption_policy.normalize_detail_level(detail_level)
+    detail_level, style_policy, include_trigger = caption_policy.apply_caption_profile(
+        caption_profile,
+        detail_level=detail_level,
+        style_policy=style_policy,
+        include_trigger=include_trigger,
+    )
     keep_style = caption_policy.keep_style_terms(style_policy)
     row, row_method = _row_from_inputs(source_text, metadata_json, input_hint)
     if row is not None:

caption_policy.py

@@ -16,6 +16,26 @@ DEFAULT_TRIGGER = "sxcppnl7"
 
 DETAIL_LEVELS = ("balanced", "concise", "dense")
 STYLE_POLICIES = ("drop_style_tail", "keep_style_terms")
+CAPTION_PROFILE_DEFAULT = "manual_controls"
+
+CAPTION_PROFILES = {
+    "manual_controls": {},
+    "training_concise": {
+        "detail_level": "concise",
+        "style_policy": "drop_style_tail",
+        "include_trigger": True,
+    },
+    "training_dense": {
+        "detail_level": "dense",
+        "style_policy": "drop_style_tail",
+        "include_trigger": True,
+    },
+    "browsing": {
+        "detail_level": "balanced",
+        "style_policy": "keep_style_terms",
+        "include_trigger": False,
+    },
+}
 
 STYLE_TAILS = [
     ", coloured pencil comic illustration, crisp linework, hatching, soft pastel palette, warm sensual lighting, textured parchment paper",
@@ -59,6 +79,29 @@ def normalize_style_policy(value: str) -> str:
     return value if value in STYLE_POLICIES else "drop_style_tail"
 
 
+def caption_profile_choices() -> list[str]:
+    return list(CAPTION_PROFILES)
+
+
+def normalize_caption_profile(value: str) -> str:
+    return value if value in CAPTION_PROFILES else CAPTION_PROFILE_DEFAULT
+
+
+def apply_caption_profile(
+    caption_profile: str,
+    *,
+    detail_level: str,
+    style_policy: str,
+    include_trigger: bool,
+) -> tuple[str, str, bool]:
+    profile = CAPTION_PROFILES[normalize_caption_profile(caption_profile)]
+    return (
+        normalize_detail_level(profile.get("detail_level", detail_level)),
+        normalize_style_policy(profile.get("style_policy", style_policy)),
+        bool(profile.get("include_trigger", include_trigger)),
+    )
+
+
 def keep_style_terms(style_policy: str) -> bool:
     return normalize_style_policy(style_policy) == "keep_style_terms"
 

docs/prompt-architecture-improvement-plan.md

@@ -309,10 +309,13 @@ Keep here:
 - shared cast descriptor parsing and label replacement from `krea_cast.py`.
 - caption detail-level/style-policy normalization, clothing cleanup, and
   composition cleanup from `caption_policy.py`.
+- caption profiles for manual controls, concise training captions, dense
+  training captions, and browsing captions live in `caption_policy.py` and are
+  exposed by `SxCP Caption Naturalizer`.
 
 Improve later:
-
+- add more caption profiles if a new training or browsing workflow needs a
-- add a `caption_profile` option for concise/dense LoRA caption styles.
+  distinct default.
 
 ### Category JSON Path
 

docs/prompt-pool-routing-map.md

@@ -97,7 +97,7 @@ Core helper ownership:
 | `row_normalization.py` | Final prompt-row and pair metadata normalization: trigger prepending, extra-positive append, negative merge/dedupe, caption-part joining, and embedded soft/hard row sanitation. |
 | `formatter_input.py` | Shared formatter input parsing: text cleanup, metadata/source JSON detection, trigger-prefix stripping, shared prompt field-label inventory, `Avoid:` splitting, prompt-field extraction, and metadata row-value fallback. |
 | `sdxl_presets.py` | SDXL style presets, quality presets, default negative prompt, and metadata-family tag hints used by the SDXL formatter and node choice lists. |
-| `caption_policy.py` | Caption naturalizer policy data and helpers: style tails, item labels, metadata-family caption labels, detail/style-policy normalization, clothing cleanup, and composition cleanup. |
+| `caption_policy.py` | Caption naturalizer policy data and helpers: caption profiles, style tails, item labels, metadata-family caption labels, detail/style-policy normalization, clothing cleanup, and composition cleanup. |
 
 ## Node IO Map
 

node_formatter.py

@@ -2,10 +2,12 @@ from __future__ import annotations
 
 try:
     from .caption_naturalizer import naturalize_caption
+    from .caption_policy import caption_profile_choices
     from .krea_formatter import format_krea2_prompt
     from .sdxl_formatter import format_sdxl_prompt, sdxl_quality_preset_choices, sdxl_style_preset_choices
 except ImportError:  # Allows local smoke tests from the repository root.
     from caption_naturalizer import naturalize_caption
+    from caption_policy import caption_profile_choices
     from krea_formatter import format_krea2_prompt
     from sdxl_formatter import format_sdxl_prompt, sdxl_quality_preset_choices, sdxl_style_preset_choices
 
@@ -17,6 +19,7 @@ class SxCPCaptionNaturalizer:
             "required": {
                 "source_text": ("STRING", {"default": "", "multiline": True}),
                 "input_hint": (["auto", "metadata_json", "caption_or_prompt"], {"default": "auto"}),
+                "caption_profile": (caption_profile_choices(), {"default": "manual_controls"}),
                 "detail_level": (["balanced", "concise", "dense"], {"default": "balanced"}),
                 "style_policy": (["drop_style_tail", "keep_style_terms"], {"default": "drop_style_tail"}),
                 "trigger": ("STRING", {"default": "sxcppnl7"}),
@@ -37,6 +40,7 @@ class SxCPCaptionNaturalizer:
         self,
         source_text,
         input_hint,
+        caption_profile,
         detail_level,
         style_policy,
         trigger,
@@ -53,6 +57,7 @@ class SxCPCaptionNaturalizer:
             include_trigger=include_trigger,
             detail_level=detail_level,
             style_policy=style_policy,
+            caption_profile=caption_profile,
         )
 
 

tools/prompt_smoke.py

@@ -969,6 +969,31 @@ def smoke_caption_policy() -> None:
     _expect(caption_policy.keep_style_terms("keep_style_terms") is True, "Caption style policy keep flag changed")
     _expect(caption_policy.detail_allows("concise") is False, "Caption concise detail gate changed")
     _expect(caption_policy.detail_allows("dense", dense_only=True) is True, "Caption dense-only gate changed")
+    _expect("training_concise" in caption_policy.caption_profile_choices(), "Caption profile choices lost training_concise")
+    _expect(
+        caption_policy.normalize_caption_profile("bad") == caption_policy.CAPTION_PROFILE_DEFAULT,
+        "Caption invalid profile fallback changed",
+    )
+    _expect(
+        caption_policy.apply_caption_profile(
+            "training_dense",
+            detail_level="concise",
+            style_policy="keep_style_terms",
+            include_trigger=False,
+        )
+        == ("dense", "drop_style_tail", True),
+        "Caption training_dense profile overrides changed",
+    )
+    _expect(
+        caption_policy.apply_caption_profile(
+            "manual_controls",
+            detail_level="concise",
+            style_policy="keep_style_terms",
+            include_trigger=False,
+        )
+        == ("concise", "keep_style_terms", False),
+        "Caption manual profile should preserve explicit controls",
+    )
 
     style_tail = caption_policy.STYLE_TAILS[0]
     _expect(
@@ -991,6 +1016,13 @@ def smoke_caption_policy() -> None:
     _expect(caption_policy.metadata_action_label(row) == "oral action", "Caption action-family label changed")
     row = {"action_family": "oral", "position_family": "anal"}
     _expect(caption_naturalizer._metadata_action_label(row) == "anal action", "Caption position-family label priority changed")
+    browsing_caption, browsing_method = caption_naturalizer.naturalize_caption(
+        "woman, red dress, studio",
+        caption_profile="browsing",
+        include_trigger=True,
+    )
+    _expect(not browsing_caption.startswith(Trigger), "Caption browsing profile should disable trigger by default")
+    _expect(browsing_method == "text(fallback)", "Caption browsing profile changed fallback method")
 
 
 def smoke_sdxl_presets_policy() -> None:
@@ -2763,6 +2795,7 @@ def smoke_node_formatter_registration() -> None:
     caption, caption_method = sxcp_nodes.NODE_CLASS_MAPPINGS["SxCPCaptionNaturalizer"]().build(
         "A woman standing by a window, best quality",
         "caption_or_prompt",
+        "manual_controls",
         "concise",
         "drop_style_tail",
         "sxcppnl7",
@@ -2771,6 +2804,9 @@ def smoke_node_formatter_registration() -> None:
     _expect_text("node_formatter.caption", caption, 20)
     _expect(caption.startswith("sxcppnl7"), "Caption Naturalizer did not prepend trigger")
     _expect("text(" in caption_method, "Caption Naturalizer method changed unexpectedly")
+    caption_inputs = sxcp_nodes.NODE_CLASS_MAPPINGS["SxCPCaptionNaturalizer"].INPUT_TYPES().get("required") or {}
+    _expect("caption_profile" in caption_inputs, "Caption Naturalizer lost caption_profile input")
+    _expect("tooltip" in caption_inputs["caption_profile"][1], "Caption profile tooltip injection missing")
 
     krea_output = krea_node().build(
         "sxcppnl7 A woman standing by a window",