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https://github.com/wiltodelta/remove-ai-watermarks.git
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Victor Kuznetsov
65de8df5c5
Visual review of the GFPGAN-on-cleaned output (9-face grid, 1448x1086) showed it only polished the already-drifted face without restoring identity — useless for the "restore who is in the photo" intent. Dropping it. The shipped restore path is now PhotoMaker-V2, which delivers true identity-from- embedding face regeneration via a CLIP+ArcFace dual encoder. The ArcFace branch pulls InsightFace antelopev2/buffalo_l model packs at runtime, which InsightFace releases under a research-only license, so the whole extra is **NON-COMMERCIAL**. raiw.cc and any monetized deployment must NOT install the `photomaker` extra. This is called out at every entry point: CLI flag help, module docstring, pyproject extra block, CLAUDE.md extras bullet, README install snippet. Changes: - Deleted `src/remove_ai_watermarks/face_restore.py` and its tests. - Deleted the `restore` extra (gfpgan/facexlib/basicsr + scipy<1.18 / numba<0.60 pins) and the basicsr setuptools<69 build pin from pyproject.toml. - Restored `src/remove_ai_watermarks/photomaker_restore.py` (V2 this time: `TencentARC/PhotoMaker-V2`, `photomaker-v2.bin`, no `pm_version='v1'` override). - Restored the `photomaker` extra in pyproject with all the upstream-compat pins (einops, peft, onnxruntime, insightface) and the `allow-direct-references` hatch metadata block. - `InvisibleEngine` swapped `_restore_faces` -> `_restore_faces_photomaker`; `--restore-faces-method` removed (only one method, no choice). - CLI flag help, CLAUDE.md, README, docs/synthid.md, and docs/controlnet-removal-pipeline-research.md all updated. - docs/synthid-robust-identity-research.md status notice rewritten to list both abandoned commercial-safe attempts (V1 + GFPGAN-on-cleaned) and the non-commercial trade-off we accepted. ruff + strict pyright(src/) clean; 578 tests pass (the 9 GFPGAN tests are gone, the 11 PhotoMaker tests stay green). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>