Release 0.40.0 with Qwen symbol, ONNX classify, identify attribution

.claude-plugin/marketplace.json

@@ -6,7 +6,7 @@
   },
   "metadata": {
     "description": "Agent skill and Claude Code plugin for the remove-ai-watermarks CLI.",
-    "version": "1.0.7"
+    "version": "1.0.8"
   },
   "plugins": [
     {

README.md

@@ -65,7 +65,7 @@ its linked C2PA manifest; metadata stripping alone removes only the manifest.
 | Every production feature available on the active Python | `remove-ai-watermarks[all]` |
 
 Lower-level and specialized extras include `pixels`, `heif`, `trustmark`,
-`migan`, `lama`, and `diffusion`. The
+`migan`, `lama`, `diffusion`, and `classify-onnx`. The
 [installation guide](docs/installation.md#feature-extras) documents their exact
 dependency composition, Python compatibility, and model requirements.
 

docs/agent-skill.md

@@ -88,7 +88,8 @@ Do these in order after the skill is on the default branch.
    pipeline is repaired. Release-time publishing is automated (see
    [release-and-distribution.md](release-and-distribution.md)), and the job
    fires only on a published GitHub Release: a skill version bumped after a
-   release, as 1.0.7 was, reaches ClawHub with the next one. Do not publish by
+   release reaches ClawHub with the next one. 0.40.0 publishes 1.0.8; 1.0.7 was
+   the post-0.39.1 bump and is not a ClawHub version. Do not publish by
    hand to close that gap. The listing records the license as MIT-0 while
    `SKILL.md` declares Apache-2.0, and that is not a listing error to repair:
    MIT-0 is a platform-wide constant in ClawHub's own client

docs/cli.md

@@ -78,6 +78,9 @@ no-signal metadata scan. Install the extra first:
 uv tool install --force "remove-ai-watermarks[classify]"
 ```
 
+The optional CPU ONNX backend is library-only
+(`classify_pixels(..., backend="onnx")`, extra `classify-onnx`), not a CLI flag.
+
 Then:
 
 ```bash

docs/development.md

@@ -37,9 +37,16 @@ Rechecked on 2026-09-10 against the locked versions and the advisory sources:
 - `accelerate`, required by the diffusion stack, is affected by
   [GHSA-4j2p-28q2-5m79](https://github.com/advisories/GHSA-4j2p-28q2-5m79)
   and PYSEC-2026-3804. The sharded-checkpoint loader accepts unsafe
-  `weight_map` paths; neither advisory lists a patched release. The project has no direct call to
-  `load_checkpoint_in_model` or `load_checkpoint_and_dispatch`, but this does
-  not prove indirect model-loading paths are unaffected.
+  `weight_map` paths; neither advisory lists a patched release. 1.15.0 is
+  on PyPI and is outside the advisory's `<= 1.14.0` range, but its
+  `load_checkpoint_in_model` still joins `weight_map` entries with no
+  containment check, and the sanitizer PRs
+  ([#4138](https://github.com/huggingface/accelerate/pull/4138),
+  [#4214](https://github.com/huggingface/accelerate/pull/4214)) did not
+  land. Do not bump solely to silence the scanner. The project has no
+  direct call to `load_checkpoint_in_model` or
+  `load_checkpoint_and_dispatch`, but this does not prove indirect
+  model-loading paths are unaffected.
 
 Before carrying the remaining block forward, rerun `uvx uv-secure uv.lock` and check
 PyPI for a fixed release. Upgrade a fixed package with

docs/installation.md

@@ -126,6 +126,7 @@ application actually uses:
 | `detect` | Open DWT-DCT detection for Stable Diffusion, SDXL, and FLUX | `pixels`, PyWavelets | No |
 | `trustmark` | Adobe TrustMark detection on Python 3.11-3.12 | trustmark | Yes |
 | `classify` | Metadata-free photo AI-versus-camera classifier plus gated provider | `pixels`, Torch, Transformers | Yes |
+| `classify-onnx` | Optional CPU-only ONNX vision runtime for `classify` | `classify`, ONNX Runtime | Yes |
 | `diffusion` | Torch and Diffusers runtime; video SynthID regeneration | `pixels`, Torch, Diffusers | Yes |
 | `migan` | MI-GAN ONNX fill backend | `visible`, ONNX Runtime | Model download, no Torch |
 | `lama` | big-LaMa ONNX fill backend | `visible`, ONNX Runtime | Model download, no Torch |
@@ -152,12 +153,14 @@ flowchart LR
     heif
     trustmark
     classify --> pixels
+    onnx["classify-onnx"] --> classify
 ```
 
 `heif`, `trustmark`, and `text-draft` are independent branches. Combine them
 explicitly with another feature when required. `text-draft` is excluded from
 `all` because it proposes unverified OCR annotations and is not a production
-removal path. The TrustMark branch remains available only on Python 3.11-3.12.
+removal path. `classify-onnx` is excluded from `all`; install it only for `backend="onnx"`.
+The TrustMark branch remains available only on Python 3.11-3.12.
 Its supported dependency floor includes releases requiring NumPy 1.x, which has
 no CPython 3.13 or 3.14 wheels; newer TrustMark releases relaxing that requirement
 do not by themselves widen this package's declared support range. The `all` bundle contains every production branch compatible with

docs/module-internals.md

@@ -1084,7 +1084,8 @@ gate without downloads and pin that `identify` does not import this
 module.
 
 Weights stay out of git. The Hub snapshot is `wiltodelta/raiw-photo-classify`.
-`RAIW_CLASSIFY_WEIGHTS` overrides it. The extra is `classify`. The runtime
+`RAIW_CLASSIFY_WEIGHTS` overrides it. The extra is `classify`. The optional
+CPU ONNX vision runtime is the `classify-onnx` extra. The runtime
 narrows its snapshot download to the selected backend's model and shared heads.
 `WEIGHTS_ALLOW_PATTERNS` exports the union so an offline deploy can pre-cache
 both backends explicitly (`tests/test_classify.py` pins the seam). User guide:

pyproject.toml

@@ -4,7 +4,7 @@
 # on it, including the ComfyUI node package. The console script below carries
 # the same weight, since users have it on PATH.
 name = "remove-ai-watermarks"
-version = "0.39.1"
+version = "0.40.0"
 description = "AI watermark remover for visible, invisible, and provenance marks in images and video"
 readme = "README.md"
 requires-python = ">=3.11,<3.15"

skills/.claude-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "name": "remove-ai-watermarks",
   "displayName": "Remove AI Watermarks",
-  "version": "1.0.7",
+  "version": "1.0.8",
   "description": "Identify and remove AI provenance marks from images and video the user generated or edited, using the remove-ai-watermarks CLI.",
   "author": {
     "name": "wiltodelta",

skills/remove-ai-watermarks/SKILL.md

@@ -5,7 +5,7 @@ license: Apache-2.0
 compatibility: Python 3.11-3.14. Invisible image removal needs NVIDIA CUDA. Some video writes need ffmpeg. Installer may be uv, pipx, or pip.
 metadata:
   author: wiltodelta
-  version: "1.0.7"
+  version: "1.0.8"
   homepage: https://raiw.cc
   repository: https://github.com/wiltodelta/remove-ai-watermarks
 ---

skills/remove-ai-watermarks/references/commands.md

@@ -44,7 +44,9 @@ remove-ai-watermarks classify image.png --json
 ```
 
 Pixel classifier, needs the `classify` extra. It is NOT provenance: it guesses
-from pixels alone and `identify` never runs it. Labels are `ai` (both models
+from pixels alone and `identify` never runs it. The CLI has no ONNX flag; the
+optional CPU ONNX runtime is library-only (`backend="onnx"`) and needs
+`classify-onnx` (since CLI 0.40.0). Labels are `ai` (both models
 agree), `human`, and `unknown` -- `unknown` is an abstention, not a negative.
 Photographed receipts abstain to `unknown` through the bundled receipt gate
 (since CLI 0.38.0), so a receipt is not reported as `ai`. Offer `classify`

skills/remove-ai-watermarks/references/install.md

@@ -66,6 +66,7 @@ ffmpeg is missing, or the user asked about Homebrew, pipx, or pip.
 | Verified text restoration (`--text-manifest`) | add `text-restoration` |
 | Open DWT-DCT detect | add `detect` |
 | Pixel classifier (`classify`) | add `classify` |
+| CPU ONNX photo classifier, library `backend="onnx"` only (since CLI 0.40.0) | add `classify-onnx` |
 | Adobe TrustMark on Python 3.11-3.12 | add `trustmark` |
 | Every production extra on this Python | `all` |
 

skills/remove-ai-watermarks/scripts/probe.py

@@ -24,14 +24,15 @@ from typing import Any
 _GPU_MARKERS = ("GPU ", "gpu:")
 # Below this, the CLI predates flags and behavior this skill documents. Raise it in
 # the same change as any reference that names a flag the previous release lacked:
-# 0.39.0 is here because the `liblib_pill` mark and `auto` routing OpenAI
-# provenance to qwen-zimage arrived with it; 0.38.0 added the receipt gate;
-# `classify` needed 0.37.0 (`--pipeline auto` 0.36.0; chroma-zimage and the
-# doubao video mark 0.35.0; the `microsoft` mark 0.34.0; `--vendor` 0.32.0),
-# and a stale floor told an agent its CLI was current right before it typed a
-# value that build rejects. tests/test_agent_skill.py pins it against the
-# package version and against every "(since CLI X.Y.Z)" annotation in the skill.
-MIN_CLI_VERSION = (0, 39, 0)
+# 0.40.0 is here because the skill names the `classify-onnx` extra; 0.39.0 is
+# here because the `liblib_pill` mark and `auto` routing OpenAI provenance to
+# qwen-zimage arrived with it; 0.38.0 added the receipt gate; `classify` needed
+# 0.37.0 (`--pipeline auto` 0.36.0; chroma-zimage and the doubao video mark
+# 0.35.0; the `microsoft` mark 0.34.0; `--vendor` 0.32.0), and a stale floor
+# told an agent its CLI was current right before it typed a value that build
+# rejects. tests/test_agent_skill.py pins it against the package version and
+# against every "(since CLI X.Y.Z)" annotation in the skill.
+MIN_CLI_VERSION = (0, 40, 0)
 # Markers a build without the pixel stack prints. The first is the current CLI's own
 # install hint; the rest are what older builds emit before the guard existed, and the
 # Homebrew formula ships exactly such a build.

src/remove_ai_watermarks/__init__.py

@@ -33,7 +33,7 @@ _os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")
 _warnings.filterwarnings("ignore", message=r".*ImageProcessorFast.*")
 
 
-__version__ = "0.39.1"
+__version__ = "0.40.0"
 
 __all__ = [
     "BatchItemResult",

uv.lock

@@ -800,7 +800,7 @@ name = "cuda-bindings"
 version = "13.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "cuda-pathfinder" },
+    { name = "cuda-pathfinder", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/51/6b/457ca12dad3ee9bfcc9a545cfd6b64b359ba49de40f776f6e028e678f262/cuda_bindings-13.3.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c5879712accf6e14bb01aa5e67440eb84998b8d104b509cc7a6dc0b8f656a474", size = 6053539, upload-time = "2026-05-29T23:11:43.19Z" },
@@ -833,43 +833,43 @@ wheels = [
 
 [package.optional-dependencies]
 cublas = [
-    { name = "nvidia-cublas", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
-    { name = "nvidia-cuda-nvrtc", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cublas", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
+    { name = "nvidia-cuda-nvrtc", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 cudart = [
-    { name = "nvidia-cuda-runtime", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cuda-runtime", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 cufft = [
-    { name = "nvidia-cufft", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
-    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cufft", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
+    { name = "nvidia-nvjitlink", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 cufile = [
-    { name = "nvidia-cufile", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cufile", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 cupti = [
-    { name = "nvidia-cuda-cupti", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cuda-cupti", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 curand = [
-    { name = "nvidia-curand", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-curand", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 cusolver = [
-    { name = "nvidia-cublas", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
-    { name = "nvidia-cusolver", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
-    { name = "nvidia-cusparse", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
-    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cublas", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
+    { name = "nvidia-cusolver", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
+    { name = "nvidia-cusparse", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
+    { name = "nvidia-nvjitlink", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 cusparse = [
-    { name = "nvidia-cusparse", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
-    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cusparse", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
+    { name = "nvidia-nvjitlink", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 nvjitlink = [
-    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-nvjitlink", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 nvrtc = [
-    { name = "nvidia-cuda-nvrtc", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cuda-nvrtc", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 nvtx = [
-    { name = "nvidia-nvtx", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-nvtx", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" },
 ]
 
 [[package]]
@@ -1066,7 +1066,7 @@ wheels = [
 
 [package.optional-dependencies]
 http = [
-    { name = "aiohttp" },
+    { name = "aiohttp", marker = "python_full_version < '3.13'" },
 ]
 
 [[package]]
@@ -1198,8 +1198,8 @@ name = "httpcore2"
 version = "2.12.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "h11" },
-    { name = "truststore" },
+    { name = "h11", marker = "sys_platform != 'emscripten'" },
+    { name = "truststore", marker = "sys_platform != 'emscripten'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/be/ad/f4f0e57345f1870f3e8cb624e058d7eca6e5a27d33bcc3311d9b618734cd/httpcore2-2.12.0.tar.gz", hash = "sha256:9293522bba0aa7c4c8e9e3f040c16575bd8868e155a77fa30c7a9085a5eae648", size = 67548, upload-time = "2026-08-18T13:22:08.211Z" }
 wheels = [
@@ -1461,15 +1461,15 @@ name = "lightning"
 version = "2.6.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "fsspec", extra = ["http"] },
-    { name = "lightning-utilities" },
-    { name = "packaging" },
-    { name = "pytorch-lightning" },
-    { name = "pyyaml" },
-    { name = "torch" },
-    { name = "torchmetrics" },
-    { name = "tqdm" },
-    { name = "typing-extensions" },
+    { name = "fsspec", extra = ["http"], marker = "python_full_version < '3.13'" },
+    { name = "lightning-utilities", marker = "python_full_version < '3.13'" },
+    { name = "packaging", marker = "python_full_version < '3.13'" },
+    { name = "pytorch-lightning", marker = "python_full_version < '3.13'" },
+    { name = "pyyaml", marker = "python_full_version < '3.13'" },
+    { name = "torch", marker = "python_full_version < '3.13'" },
+    { name = "torchmetrics", marker = "python_full_version < '3.13'" },
+    { name = "tqdm", marker = "python_full_version < '3.13'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/39/b8/fbf1469d917c3ed3b22e00ab3a852fb9a5f85b9dc7f7060eedc3449098e7/lightning-2.6.6.tar.gz", hash = "sha256:1c6329e241f8a85f29fedead89c1ee138b36caa08de60c260c6a7eaee81c8295", size = 659902, upload-time = "2026-09-10T09:41:03.009Z" }
 wheels = [
@@ -1481,8 +1481,8 @@ name = "lightning-utilities"
 version = "0.15.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "packaging" },
-    { name = "typing-extensions" },
+    { name = "packaging", marker = "python_full_version < '3.13'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/f1/45/7fa8f56b17dc0f0a41ec70dd307ecd6787254483549843bef4c30ab5adce/lightning_utilities-0.15.3.tar.gz", hash = "sha256:792ae0204c79f6859721ac7f386c237a33b0ed06ba775009cb894e010a842033", size = 33553, upload-time = "2026-02-22T14:48:53.348Z" }
 wheels = [
@@ -1896,7 +1896,7 @@ name = "nvidia-cublas"
 version = "13.1.1.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cuda-nvrtc" },
+    { name = "nvidia-cuda-nvrtc", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/a7/a1/0bd24ee8c8d03adac032fd2909426a00c88f8c57961b1277ded97f91119f/nvidia_cublas-13.1.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b7a210458267ac818974c53038fbec2e969d5c99f305ab15c72522fa9f001dd5", size = 542848918, upload-time = "2026-04-08T18:46:22.985Z" },
@@ -1935,7 +1935,7 @@ name = "nvidia-cudnn-cu13"
 version = "9.24.0.43"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas" },
+    { name = "nvidia-cublas", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
 ]
 wheels = [
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@@ -1947,7 +1947,7 @@ name = "nvidia-cufft"
 version = "12.0.0.61"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink" },
+    { name = "nvidia-nvjitlink", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
 ]
 wheels = [
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@@ -1977,9 +1977,9 @@ name = "nvidia-cusolver"
 version = "12.0.4.66"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas" },
-    { name = "nvidia-cusparse" },
-    { name = "nvidia-nvjitlink" },
+    { name = "nvidia-cublas", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "nvidia-cusparse", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
+    { name = "nvidia-nvjitlink", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
 ]
 wheels = [
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@@ -1991,7 +1991,7 @@ name = "nvidia-cusparse"
 version = "12.6.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink" },
+    { name = "nvidia-nvjitlink", marker = "sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
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