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Victor Kuznetsov
411ef16ec3
Add an optional, commercial-safe face-restoration post-pass that recovers face identity the diffusion removal pass drifts (canny holds structure, not likeness) while still scrubbing the pixel watermark in the face regions. - face_restore.py: GFPGANer singleton (CPU unless CUDA), the basicsr torchvision.transforms.functional_tensor shim, and the pure feather _composite_faces helper (unit-tested without the model). GFPGAN re-synthesizes each face from a StyleGAN2 prior, so composited face pixels are GAN-generated (no watermark, no pixel-copy) -- oracle-clean at weight 0.5 with identity preserved. - InvisibleEngine.remove_watermark: restore_faces / restore_faces_weight, best-effort, auto-skips when the extra is absent or no face is detected. - CLI --restore-faces/--no-restore-faces + --restore-faces-weight on invisible/all/batch (on by default). - restore extra (gfpgan/facexlib/basicsr), numpy<2-pinned (scipy<1.18, numba<0.60) and kept out of `all`; basicsr needs Python <3.13 + setuptools<69 to build, so pin .python-version 3.12. Commercial-safe: GFPGAN Apache-2.0, RetinaFace MIT. The CodeFormer alternative is non-commercial and is not shipped. The earlier IP-Adapter FaceID layer was removed (footgun: needs high strength, corrupts faces at the low removal strength). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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3.12
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