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Add an optional harness around THU-BPM/MarkDiffusion (Apache-2.0) for controlled image-watermark experiments and an alternative pixel-removal engine: - markdiffusion_harness.py with watermark / detect / purify subcommands for nine image schemes (Tree-Ring, Ring-ID, ROBIN, WIND, SFW, Gaussian-Shading, GaussMarker, PRC, SEAL); same-scheme/same-model detection only - clean_image.py --remove-pixel diffusion runs the DiffusionPurification regeneration attack (blind regeneration; conservative strength 0.3 default) - setup_markdiffusion.sh bootstrap (PyPI pin 1.0.2; --checkout editable clone at pinned commit), requirements-markdiffusion.txt, Dockerfile.markdiffusion, Makefile targets, and mock-based tests (no torch in CI) - Docs: README section, SKILL.md, removal-matrix.md, vendor-notes.md, references/markdiffusion.md