feat(identify): detect open SD/SDXL/FLUX invisible watermark

Research found one locally-fillable detection gap: Stable Diffusion, SDXL,
and FLUX all embed an open DWT-DCT watermark via the invisible-watermark
(imwatermark) library -- a PUBLIC decoder, no secret key, unlike SynthID.
New invisible_watermark.py decodes the known fixed patterns (verified
against upstream source: diffusers SDXL WATERMARK_MESSAGE, FLUX.2
src/flux2/watermark.py, and the 'StableDiffusionV1' default string) and
identify() reports the scheme as a high-confidence signal.

Verified locally end-to-end: embedding SDXL's exact 48-bit message and
decoding it back recovers 48/48 bits; a clean image and our own fal-SDXL
outputs decode to ~21/48 (no match). Caveat baked into the report: the
watermark is fragile -- gone after JPEG q90 -- so it confirms origin only
on pristine files; absence is never proof.

imwatermark is an optional dep (extra 'detect'; pulls non-headless opencv),
so the import is guarded and the signal is skipped when absent. CLI
--no-visible now means metadata-only (skips both pixel-domain detectors).

Also records the broader watermarking landscape in CLAUDE.md: which
services are locally detectable (SD/SDXL/FLUX), C2PA-covered (Bing/Canva/
Getty/Shutterstock unsampled), or proprietary-only like SynthID (Amazon
Titan/Nova, Kakao). Midjourney embeds neither C2PA nor an invisible mark.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

CLAUDE.md

@@ -29,8 +29,16 @@ You are a **principal Python engineer** maintaining a CLI tool and library for r
 - `metadata.py` — `synthid_source(path)` returns the vendor name(s) if the C2PA manifest implies a SynthID pixel watermark, else None. Format-agnostic: PNG via the caBX parser, JPEG/WebP/AVIF/HEIF/JXL via a binary scan (C2PA marker + SynthID issuer + AI-source marker). `get_ai_metadata` surfaces the verdict, and `metadata --check` prints it as a callout. Both `get_ai_metadata` and `has_ai_metadata` guard the PIL open with `except Exception` (HEIC/unknown formats raise non-OSError) and fall through to the binary scan.
 - `identify.py` — `identify(path)` aggregates every locally-readable signal (C2PA issuer→platform, IPTC "Made with AI", embedded SD/ComfyUI params, SynthID proxy, visible Gemini sparkle) into one `ProvenanceReport`. `is_ai_generated` is True or None (never asserted False — stripped metadata is not proof of clean origin). Visible-sparkle is promoted only at confidence ≥ `_SPARKLE_THRESHOLD` (0.5; corpus-tuned to separate Gemini sparkles ≥0.56 from non-sparkle ≤0.49). The cv2 dependency lives in `gemini_engine.detect_sparkle_confidence`, not here. Add platform mappings to `_ISSUER_PLATFORM`, not inline. For non-PNG containers (JPEG/WebP/AVIF/HEIF/JXL) the caBX parser returns nothing, so issuer (`_issuers_in`) and generator (`_ai_tools_in`, reusing `C2PA_AI_TOOLS`) are recovered by binary-scanning the first MB; EXIF/XMP *fields* inside ISOBMFF are still not parsed (no positive fixtures to validate against).
 - `gemini_engine.py` — visible Gemini-sparkle remover/detector (cv2/numpy, no GPU). `detect_sparkle_confidence(path)` is the file-level entry point used by `identify.py`.
+- `invisible_watermark.py` — `detect_invisible_watermark(path)` decodes the OPEN DWT-DCT watermarks (public decoder, no key) embedded by Stable Diffusion / SDXL / FLUX via the `imwatermark` library. Known fixed patterns (verified against upstream source) live in `_BITS_48` (SDXL 48-bit, FLUX.2 48-bit) and `_SD1_STRING` ("StableDiffusionV1", SD 1.x/2.x). Optional dep (extra `detect`); returns None when absent. **Unlike SynthID this is locally detectable**, but the watermark is fragile (does not survive JPEG re-encode/resize — verified gone after JPEG q90), so it confirms origin only on pristine files. Add new known patterns here. The file carries a top-of-module pyright pragma because imwatermark/cv2 ship no type stubs.
 - `face_protector.py` — YOLO detect + soft-blend pattern; mirror this for any "protect region during diffusion" features
 
+## Watermarking landscape (research 2026-05-24)
+
+Who embeds what, and whether it is locally detectable (so we know which gaps are fillable). See `identify.py` for what we read.
+- **Locally detectable (open decoder, no key/API):** Stable Diffusion / SDXL / FLUX via `imwatermark` DWT-DCT (now covered by `invisible_watermark.py`). FLUX uses the same library (`black-forest-labs/flux2` `src/flux2/watermark.py`, 48-bit `0b001010101111111010000111100111001111010100101110`); SDXL is the diffusers `WATERMARK_MESSAGE` (`0b101100111110110010010000011110111011000110011110`). Caveat: fragile to re-encoding.
+- **C2PA / IPTC (covered by the issuer/marker scan):** OpenAI, Google, Adobe Firefly, Microsoft Designer (have positives); Bing Image Creator, Canva, Getty, Shutterstock, Stability hosted (no positives yet — collect to validate). Midjourney embeds NO C2PA and no invisible watermark (our `mj-*` sample carried only the IPTC tag).
+- **Invisible but NOT locally detectable (proprietary, API/oracle only — same wall as SynthID):** Amazon Titan Image Generator + Nova Canvas (Bedrock `DetectGeneratedContent` API), Kakao (new SynthID image adopter, May 2026), NVIDIA Cosmos (SynthID video). No local detector possible; treat like SynthID.
+
 ## Known limitations
 
 - `invisible` pipeline downscales to model-native resolution (1024 px for SDXL) before diffusion. Degrades fine text in infographics. Tracked; fix is tile-based diffusion.

README.md

@@ -135,6 +135,13 @@ After installation the `remove-ai-watermarks` command is available system-wide.
 > ```bash
 > pip install -e ".[gpu]"   # or: uv pip install -e ".[gpu]"
 > ```
+>
+> To let `identify` decode the open Stable Diffusion / SDXL / FLUX invisible
+> watermarks, install the `detect` extra (adds the `invisible-watermark` decoder):
+>
+> ```bash
+> pip install -e ".[detect]"   # or: uv pip install -e ".[detect]"
+> ```
 
 #### Invisible watermark removal
 
@@ -182,9 +189,10 @@ remove-ai-watermarks batch ./images/ --mode all
 ```bash
 # Identify provenance: where an image was made + its watermark inventory.
 # Aggregates C2PA, IPTC "Made with AI", embedded SD/ComfyUI params, the
-# SynthID proxy, and the visible Gemini sparkle into one verdict. Reports
-# "unknown" (never "clean") when no signal is found, since stripped metadata
-# is not proof of a clean origin. Add --json for machine-readable output.
+# SynthID proxy, the visible Gemini sparkle, and (with the [detect] extra) the
+# open SD/SDXL/FLUX invisible watermark into one verdict. Reports "unknown"
+# (never "clean") when no signal is found, since stripped metadata is not proof
+# of a clean origin. Add --json for machine-readable output.
 remove-ai-watermarks identify image.png
 
 # Visible watermark only (Gemini / Nano Banana sparkle) — fast, offline

pyproject.toml

@@ -26,13 +26,21 @@ gpu = [
     "ultralytics>=8.0.0",
     "color-matcher>=0.5.0",
 ]
+# Open invisible-watermark (imwatermark) decoder for detecting the DWT-DCT
+# watermarks embedded by Stable Diffusion / SDXL / FLUX. Optional because it
+# pulls non-headless opencv; identify() guards the import and skips the signal
+# when absent.
+detect = [
+    "invisible-watermark>=0.2.0",
+]
 dev = [
     "pytest>=8.0.0",
     "pytest-cov>=4.1.0",
     "ruff>=0.4.0",
     "pyright>=1.1.0",
+    "invisible-watermark>=0.2.0",
 ]
-all = ["remove-ai-watermarks[gpu,dev]"]
+all = ["remove-ai-watermarks[gpu,detect,dev]"]
 
 # diffusers 0.38.0 (security fix for GHSA-98h9-4798-4q5v) declares a dependency
 # on safetensors>=0.8.0rc0 — a pre-release. Allow pre-releases globally so the

src/remove_ai_watermarks/cli.py

@@ -335,7 +335,11 @@ def cmd_metadata(
 
 @main.command("identify")
 @click.argument("source", type=click.Path(exists=True, path_type=Path))
-@click.option("--no-visible", is_flag=True, help="Skip the visible-sparkle detector (metadata-only, no cv2).")
+@click.option(
+    "--no-visible",
+    is_flag=True,
+    help="Skip pixel-domain detectors (visible sparkle + invisible watermark); metadata-only.",
+)
 @click.option("--json", "as_json", is_flag=True, help="Emit the report as JSON instead of a table.")
 @click.pass_context
 def cmd_identify(ctx: click.Context, source: Path, no_visible: bool, as_json: bool) -> None:
@@ -351,7 +355,7 @@ def cmd_identify(ctx: click.Context, source: Path, no_visible: bool, as_json: bo
     from remove_ai_watermarks.identify import identify
 
     source = _validate_image(source)
-    report = identify(source, check_visible=not no_visible)
+    report = identify(source, check_visible=not no_visible, check_invisible=not no_visible)
 
     if as_json:
         click.echo(json.dumps(asdict(report), default=str, indent=2))

src/remove_ai_watermarks/identify.py

@@ -75,6 +75,10 @@ _OPENAI_CAVEAT = (
     "before the rollout carry C2PA without SynthID, so the SynthID verdict is 'likely'."
 )
 _IPTC_ONLY_CAVEAT = "The IPTC 'Made with AI' tag flags AI provenance but does not identify the specific platform."
+_INVISIBLE_WM_CAVEAT = (
+    "The open invisible watermark is fragile: it does not survive JPEG re-encoding "
+    "or resizing, so it confirms origin only on a pristine (un-re-encoded) file."
+)
 
 
 @dataclass
@@ -140,13 +144,26 @@ def _visible_sparkle(image_path: Path) -> float | None:
     return detect_sparkle_confidence(image_path)
 
 
-def identify(image_path: Path, *, check_visible: bool = True) -> ProvenanceReport:
+def _invisible_watermark(image_path: Path) -> str | None:
+    """Open invisible-watermark scheme name (SD/SDXL/FLUX) or None.
+
+    Optional: needs the imwatermark decoder (extra ``detect``). Returns None if
+    it is not installed or no known watermark decodes.
+    """
+    from remove_ai_watermarks.invisible_watermark import detect_invisible_watermark
+
+    return detect_invisible_watermark(image_path)
+
+
+def identify(image_path: Path, *, check_visible: bool = True, check_invisible: bool = True) -> ProvenanceReport:
     """Identify an image's origin platform and watermark inventory.
 
     Args:
         image_path: Path to the image (PNG, JPEG, WebP, or ISOBMFF container).
         check_visible: Also run the visible Gemini-sparkle detector (cv2). Set
             False for a pure-metadata, dependency-light scan.
+        check_invisible: Also decode open invisible watermarks (SD/SDXL/FLUX) via
+            the optional imwatermark library. No-op when it is not installed.
 
     Returns:
         A :class:`ProvenanceReport`. ``is_ai_generated`` is True when any AI
@@ -206,8 +223,18 @@ def identify(image_path: Path, *, check_visible: bool = True) -> ProvenanceRepor
         if platform is None:
             platform = "Stable Diffusion / local pipeline (Automatic1111, ComfyUI, InvokeAI)"
 
-    # ── Verdict so far (metadata) ───────────────────────────────────
-    ai_from_metadata = bool((has_c2pa and (c2pa_is_ai or synthid)) or iptc or local_keys)
+    # ── Open invisible watermark (SD / SDXL / FLUX, dwtDct) ──────────
+    # Public decoder, no key -- a definitive embedded signal on pristine files.
+    if check_invisible and (scheme := _invisible_watermark(image_path)) is not None:
+        signals.append(Signal("invisible_watermark", scheme, "high"))
+        watermarks.append(f"Open invisible watermark: {scheme}")
+        caveats.append(_INVISIBLE_WM_CAVEAT)
+        if platform is None:
+            platform = f"{scheme} (open DWT-DCT watermark)"
+
+    # ── Verdict so far (metadata + embedded watermark) ──────────────
+    invisible_wm = any(s.name == "invisible_watermark" for s in signals)
+    ai_from_metadata = bool((has_c2pa and (c2pa_is_ai or synthid)) or iptc or local_keys or invisible_wm)
 
     # ── Visible Gemini sparkle (fallback for stripped-metadata case) ─
     if check_visible and (conf := _visible_sparkle(image_path)) is not None and conf >= _SPARKLE_THRESHOLD:

src/remove_ai_watermarks/invisible_watermark.py

@@ -0,0 +1,108 @@
+"""Detect open invisible watermarks embedded by the ``invisible-watermark``
+(imwatermark) library -- used by Stable Diffusion, SDXL, and FLUX.
+
+Unlike SynthID (proprietary, no local decoder), these are DWT-DCT watermarks
+with a PUBLIC decoder and no secret key, so a fresh, un-re-encoded output can be
+identified locally. The known fixed patterns were verified against upstream
+source:
+
+- **Stable Diffusion XL** -- diffusers ``StableDiffusionXLWatermarker``
+  ``WATERMARK_MESSAGE`` (48-bit).
+- **FLUX.2** -- ``black-forest-labs/flux2`` ``src/flux2/watermark.py`` (48-bit).
+- **Stable Diffusion 1.x / 2.x** -- the library's default ``"StableDiffusionV1"``
+  string (136-bit).
+
+The watermark is fragile: it does NOT survive JPEG re-encoding or resizing
+(verified -- gone after JPEG q90), so detection works only on pristine PNG
+originals. Absence is never proof. Requires the optional ``invisible-watermark``
+package (extra: ``detect``); ``detect_invisible_watermark`` returns None when it
+is not installed.
+"""
+
+# imwatermark ships no type stubs (like cv2); its decoder returns are Unknown.
+# Relax the untyped-library diagnostics for this thin wrapper module only.
+# pyright: reportMissingTypeStubs=false, reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownArgumentType=false
+
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING, cast
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+log = logging.getLogger(__name__)
+
+# Known 48-bit ``bits`` watermarks (dwtDct, no key), name -> message integer.
+_BITS_48: dict[str, int] = {
+    "Stable Diffusion XL": 0b101100111110110010010000011110111011000110011110,
+    "FLUX.2 (Black Forest Labs)": 0b001010101111111010000111100111001111010100101110,
+}
+# The invisible-watermark default string watermark (SD 1.x / 2.x).
+_SD1_STRING = b"StableDiffusionV1"
+
+# Decoded bits/bytes never match a 48-bit pattern by chance: random decode lands
+# near 24/48, an exact embed at 48/48 (measured). 44 (<=4 bit errors) is a safe
+# floor that tolerates light perturbation without risking a false positive.
+_MATCH_48 = 44
+_MATCH_SD1_FRAC = 0.92  # fraction of the 136 string bits that must match
+
+
+def is_available() -> bool:
+    """True if the optional imwatermark decoder is installed."""
+    import importlib.util
+
+    return importlib.util.find_spec("imwatermark") is not None
+
+
+def _bits_match(value: int, ref: int, width: int = 48) -> int:
+    """Number of matching bits between two ``width``-bit integers."""
+    return width - bin(value ^ ref).count("1")
+
+
+def _bytes_match_frac(a: bytes, b: bytes) -> float:
+    """Fraction of matching bits between two equal-length byte strings."""
+    if len(a) != len(b) or not a:
+        return 0.0
+    diff = sum(bin(x ^ y).count("1") for x, y in zip(a, b, strict=True))
+    return 1.0 - diff / (8 * len(b))
+
+
+def detect_invisible_watermark(image_path: Path) -> str | None:
+    """Return the embedding scheme name if a known open watermark is decoded.
+
+    Returns e.g. ``"Stable Diffusion XL"`` / ``"FLUX.2 (Black Forest Labs)"`` /
+    ``"Stable Diffusion 1.x / 2.x"``, or None if none matches, the decoder is
+    unavailable, or the image can't be read. Meaningful only on pristine
+    (un-re-encoded) images.
+    """
+    if not is_available():
+        return None
+    import cv2
+    from imwatermark import WatermarkDecoder
+
+    img = cv2.imread(str(image_path))
+    if img is None:
+        return None
+
+    # 48-bit fixed-message watermarks (SDXL, FLUX.2).
+    try:
+        bits = WatermarkDecoder("bits", 48).decode(img, "dwtDct")
+        value = 0
+        for bit in bits:
+            value = (value << 1) | (1 if bit else 0)
+        for name, ref in _BITS_48.items():
+            if _bits_match(value, ref) >= _MATCH_48:
+                return name
+    except Exception as exc:  # decode can fail on tiny images
+        log.debug("48-bit watermark decode failed for %s: %s", image_path, exc)
+
+    # 136-bit default string watermark (SD 1.x / 2.x).
+    try:
+        raw = cast("bytes", WatermarkDecoder("bytes", 8 * len(_SD1_STRING)).decode(img, "dwtDct"))
+        if _bytes_match_frac(raw, _SD1_STRING) >= _MATCH_SD1_FRAC:
+            return "Stable Diffusion 1.x / 2.x"
+    except Exception as exc:
+        log.debug("string watermark decode failed for %s: %s", image_path, exc)
+
+    return None

tests/test_identify.py

@@ -246,3 +246,38 @@ class TestReportSerializable:
         report = identify(tmp_png_with_ai_metadata, check_visible=False)
         dumped = json.dumps(asdict(report), default=str)
         assert "is_ai_generated" in dumped
+
+
+# ── Open invisible watermark (SD/SDXL/FLUX) integration ─────────────
+
+from remove_ai_watermarks.invisible_watermark import is_available as _wm_available  # noqa: E402
+
+
+@pytest.mark.skipif(not _wm_available(), reason="invisible-watermark not installed")
+class TestIdentifyInvisibleWatermark:
+    def _sdxl_watermarked(self, tmp_path: Path) -> Path:
+        import cv2
+        import numpy as np
+        from imwatermark import WatermarkEncoder
+
+        from remove_ai_watermarks.invisible_watermark import _BITS_48
+
+        bits = [int(b) for b in format(_BITS_48["Stable Diffusion XL"], "048b")]
+        enc = WatermarkEncoder()
+        enc.set_watermark("bits", bits)
+        img = np.random.default_rng(0).integers(0, 255, (512, 512, 3), dtype=np.uint8)
+        path = tmp_path / "sdxl.png"
+        cv2.imwrite(str(path), enc.encode(img, "dwtDct"))
+        return path
+
+    def test_sdxl_watermark_identified(self, tmp_path: Path):
+        r = identify(self._sdxl_watermarked(tmp_path), check_visible=False)
+        assert r.is_ai_generated is True
+        assert r.confidence == "high"
+        assert r.platform is not None
+        assert "Stable Diffusion XL" in r.platform
+        assert any("invisible watermark" in w.lower() for w in r.watermarks)
+
+    def test_check_invisible_false_skips(self, tmp_path: Path):
+        r = identify(self._sdxl_watermarked(tmp_path), check_visible=False, check_invisible=False)
+        assert not any(s.name == "invisible_watermark" for s in r.signals)

tests/test_invisible_watermark.py

@@ -0,0 +1,90 @@
+"""Tests for open invisible-watermark (imwatermark) detection.
+
+Each known scheme is round-tripped: embed its exact upstream pattern with the
+encoder, then assert the detector names it. Skipped entirely if the optional
+``invisible-watermark`` package is not installed.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import cv2
+import numpy as np
+import pytest
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+from remove_ai_watermarks.invisible_watermark import (
+    _BITS_48,
+    _SD1_STRING,
+    _bits_match,
+    _bytes_match_frac,
+    detect_invisible_watermark,
+    is_available,
+)
+
+pytestmark = pytest.mark.skipif(not is_available(), reason="invisible-watermark not installed")
+
+
+def _base_image() -> np.ndarray:
+    # imwatermark needs enough DWT coefficients; use a 512x512 textured image.
+    rng = np.random.default_rng(0)
+    return rng.integers(0, 255, (512, 512, 3), dtype=np.uint8)
+
+
+def _write_bits_watermark(tmp_path: Path, message: int) -> Path:
+    from imwatermark import WatermarkEncoder
+
+    bits = [int(b) for b in format(message, "048b")]
+    enc = WatermarkEncoder()
+    enc.set_watermark("bits", bits)
+    wm = enc.encode(_base_image(), "dwtDct")
+    path = tmp_path / "wm.png"
+    cv2.imwrite(str(path), wm)
+    return path
+
+
+class TestHelpers:
+    def test_bits_match_exact(self):
+        assert _bits_match(0b1010, 0b1010, width=4) == 4
+
+    def test_bits_match_one_off(self):
+        assert _bits_match(0b1010, 0b1011, width=4) == 3
+
+    def test_bytes_match_identical(self):
+        assert _bytes_match_frac(_SD1_STRING, _SD1_STRING) == 1.0
+
+    def test_bytes_match_length_mismatch_is_zero(self):
+        assert _bytes_match_frac(b"abc", b"abcd") == 0.0
+
+
+class TestDetect:
+    def test_detects_sdxl(self, tmp_path: Path):
+        path = _write_bits_watermark(tmp_path, _BITS_48["Stable Diffusion XL"])
+        assert detect_invisible_watermark(path) == "Stable Diffusion XL"
+
+    def test_detects_flux(self, tmp_path: Path):
+        path = _write_bits_watermark(tmp_path, _BITS_48["FLUX.2 (Black Forest Labs)"])
+        assert detect_invisible_watermark(path) == "FLUX.2 (Black Forest Labs)"
+
+    def test_detects_sd1_string(self, tmp_path: Path):
+        from imwatermark import WatermarkEncoder
+
+        enc = WatermarkEncoder()
+        enc.set_watermark("bytes", _SD1_STRING)
+        wm = enc.encode(_base_image(), "dwtDct")
+        path = tmp_path / "sd1.png"
+        cv2.imwrite(str(path), wm)
+        assert detect_invisible_watermark(path) == "Stable Diffusion 1.x / 2.x"
+
+    def test_clean_image_is_none(self, tmp_path: Path):
+        path = tmp_path / "clean.png"
+        cv2.imwrite(str(path), _base_image())
+        assert detect_invisible_watermark(path) is None
+
+    def test_unreadable_file_is_none(self, tmp_path: Path):
+        path = tmp_path / "not_image.png"
+        path.write_bytes(b"not a png")
+        assert detect_invisible_watermark(path) is None

uv.lock

@@ -857,6 +857,23 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" },
 ]
 
+[[package]]
+name = "invisible-watermark"
+version = "0.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.4.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "opencv-python" },
+    { name = "pillow" },
+    { name = "pywavelets", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "pywavelets", version = "1.9.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "torch" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2b/57/18b5a914f6d7994dd349252873169e946dc824328e9a37fd15ed836deedc/invisible_watermark-0.2.0-py3-none-any.whl", hash = "sha256:644311beed9cfe4a9a5a4a46c740f47800cef184fe2e1297f3f4542e2d992f8b", size = 1633253, upload-time = "2023-07-06T13:56:28.715Z" },
+]
+
 [[package]]
 name = "jinja2"
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 name = "pyyaml"
 version = "6.0.3"
@@ -2037,6 +2169,7 @@ all = [
     { name = "color-matcher" },
     { name = "controlnet-aux" },
     { name = "diffusers" },
+    { name = "invisible-watermark" },
     { name = "pyright" },
     { name = "pytest" },
     { name = "pytest-cov" },
@@ -2046,7 +2179,11 @@ all = [
     { name = "transformers" },
     { name = "ultralytics" },
 ]
+detect = [
+    { name = "invisible-watermark" },
+]
 dev = [
+    { name = "invisible-watermark" },
     { name = "pyright" },
     { name = "pytest" },
     { name = "pytest-cov" },
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     { name = "diffusers", marker = "extra == 'gpu'", specifier = ">=0.38.0" },
+    { name = "invisible-watermark", marker = "extra == 'detect'", specifier = ">=0.2.0" },
+    { name = "invisible-watermark", marker = "extra == 'dev'", specifier = ">=0.2.0" },
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     { name = "opencv-python-headless", specifier = ">=4.8.0" },
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     { name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=4.1.0" },
     { name = "python-dotenv", specifier = ">=1.0.0" },
-    { name = "remove-ai-watermarks", extras = ["gpu", "dev"], marker = "extra == 'all'" },
+    { name = "remove-ai-watermarks", extras = ["gpu", "detect", "dev"], marker = "extra == 'all'" },
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     { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.4.0" },
     { name = "safetensors", marker = "extra == 'gpu'" },
@@ -2086,7 +2225,7 @@ requires-dist = [
     { name = "transformers", marker = "extra == 'gpu'", specifier = ">=4.35.0" },
     { name = "ultralytics", marker = "extra == 'gpu'", specifier = ">=8.0.0" },
 ]
-provides-extras = ["gpu", "dev", "all"]
+provides-extras = ["gpu", "detect", "dev", "all"]
 
 [[package]]
 name = "requests"