- Bump diffusers minimum to 0.38.0 (closes GHSA-98h9-4798-4q5v).
- Refresh uv.lock to pull urllib3 2.7.0 (closes GHSA-qccp-gfcp-xxvc and
GHSA-mf9v-mfxr-j63j via transitive update from requests / huggingface-hub).
- Allow pre-releases globally (`[tool.uv] prerelease = "allow"`) because
diffusers 0.38.0 declares a dependency on safetensors>=0.8.0rc0. Drop
once safetensors 0.8.0 stable is published or diffusers re-pins.
uv-secure --ignore-unfixed now reports zero vulnerabilities.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Reverse alpha blending applied at the assumed default position painted
a visible inverse-sparkle artifact onto clean or edited images. The
function now returns an unmodified copy when detection fails, instead
of falling back to the hardcoded Gemini corner. Bump to 0.3.5.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- metadata --check now shows claim_generator, c2pa_spec, digital_source_type,
c2pa_actions, signer instead of empty table for C2PA-only files
- reuses existing extract_c2pa_chunk() from noai/c2pa.py — no more duplicate
PNG chunk parsing or full-file reads
- adds data/samples/openai-images-2/amur-leopard.png: real gpt-image-2 output
with C2PA manifest signed by OpenAI OpCo LLC / Trufo CA (spec 2.2.0)
- removes stale data/samples/nano-banana-1/2.png (no longer referenced)
- updates README: new Images 2.0 row in supported models table
- documents known text-degradation limitation in CLAUDE.md
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove opencv-python from [gpu] extra (conflicts with headless in base deps)
- Add graceful fallback in 'invisible' and 'all' commands when GPU deps missing
- Cache InvisibleEngine in batch mode (avoid reloading model per image)
- Fix --humanize help text (was '0.0-1.0', actual range is 0-6.0+)
- Fix stale docstring referencing non-existent [invisible] extra
- Add [gpu] extra install instructions to README
- Fix broken NeuralBleach placeholder URL in Credits
Move torch, diffusers, transformers, accelerate, controlnet-aux,
ultralytics, and safetensors into [project.optional-dependencies.gpu].
Core install now only includes lightweight deps (~20 MB vs ~1 GB):
pillow, piexif, numpy, opencv-python-headless, click, rich.
This allows web apps using fal.ai cloud GPU to skip installing
1+ GB of ML packages, reducing Docker images from 3 GB to ~300 MB
and deploy times from 14 minutes to ~3-4 minutes.
Usage:
pip install remove-ai-watermarks # core only (visible + metadata)
pip install remove-ai-watermarks[gpu] # full local GPU support
pip install remove-ai-watermarks[all] # gpu + dev tools
- Rewrite README for SEO: Nano Banana, SynthID, Made with AI, C2PA keywords
- Add Supported Models table with 7 AI services
- Add 'Made with AI' label removal to features
- Rename sections for search discoverability
- Add samples: ChatGPT/DALL-E, Midjourney, Adobe Firefly
- Reorganize data/samples with flat structure and clear naming
- Unify 'all' defaults to match 'invisible' (strength=0.02, steps=100)
- Reorder CLI docs: 'all' command first, individual commands second
- HuggingFace token is now documented as optional
- Remove 'additional setup' label from invisible section
Changes since 0.1.0:
- Fix phantom model param bug in invisible/all commands
- Fix macOS SSL certificate issue for YOLO downloads
- Use temp file in 'all' pipeline to hide intermediate output
- Add legal disclaimer and fix license attribution
- Add troubleshooting and upgrade docs to README
- Expand test suite to 137 tests covering all CLI modes
- Clean up dependencies and pyright config
- CLI with visible, invisible, all, metadata, and batch commands
- Gemini watermark removal via reverse alpha blending
- Invisible watermark removal via diffusion regeneration (SynthID, TreeRing)
- AI metadata stripping (EXIF, PNG text, C2PA)
- Face protection (YOLO/Haar) and analog humanizer
- 137 tests covering all CLI modes and core engines
- Ruff and Pyright clean
test-user