From 27ad5b76459e92c705d15b96f94d6c2af0e3c152 Mon Sep 17 00:00:00 2001 From: test-user Date: Sun, 24 May 2026 16:53:59 -0700 Subject: [PATCH] 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) --- CLAUDE.md | 8 + README.md | 14 +- pyproject.toml | 10 +- src/remove_ai_watermarks/cli.py | 8 +- src/remove_ai_watermarks/identify.py | 33 +++- .../invisible_watermark.py | 108 +++++++++++++ tests/test_identify.py | 35 +++++ tests/test_invisible_watermark.py | 90 +++++++++++ uv.lock | 143 +++++++++++++++++- 9 files changed, 438 insertions(+), 11 deletions(-) create mode 100644 src/remove_ai_watermarks/invisible_watermark.py create mode 100644 tests/test_invisible_watermark.py diff --git a/CLAUDE.md b/CLAUDE.md index 09640cf..eefb5ca 100644 --- a/CLAUDE.md +++ b/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. diff --git a/README.md b/README.md index 3676322..9fe3d23 100644 --- a/README.md +++ b/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 diff --git a/pyproject.toml b/pyproject.toml index 9ebcfcf..d2a26c7 100644 --- a/pyproject.toml +++ b/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 diff --git a/src/remove_ai_watermarks/cli.py b/src/remove_ai_watermarks/cli.py index 04d10ec..2eef982 100644 --- a/src/remove_ai_watermarks/cli.py +++ b/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)) diff --git a/src/remove_ai_watermarks/identify.py b/src/remove_ai_watermarks/identify.py index 4138898..e0abbc8 100644 --- a/src/remove_ai_watermarks/identify.py +++ b/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: diff --git a/src/remove_ai_watermarks/invisible_watermark.py b/src/remove_ai_watermarks/invisible_watermark.py new file mode 100644 index 0000000..5b4167e --- /dev/null +++ b/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 diff --git a/tests/test_identify.py b/tests/test_identify.py index 5194693..737fa80 100644 --- a/tests/test_identify.py +++ b/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) diff --git a/tests/test_invisible_watermark.py b/tests/test_invisible_watermark.py new file mode 100644 index 0000000..2cf77fb --- /dev/null +++ b/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 diff --git a/uv.lock b/uv.lock index 79578df..1e322ac 100644 --- a/uv.lock +++ b/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 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">=0.0.9" }, { 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" }, { name = "numpy", specifier = ">=1.24.0" }, { name = "opencv-python-headless", specifier = ">=4.8.0" }, { name = "piexif", specifier = ">=1.1.3" }, @@ -2078,7 +2217,7 @@ requires-dist = [ { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0.0" }, { 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'" }, { name = "rich", specifier = ">=13.0.0" }, { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.4.0" }, { name = "safetensors", marker = "extra == 'gpu'" }, 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