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v1.23.1 "Grip"
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Facet 1.23.1, "Grip", after the crew member who builds and steadies the camera rig, for a patch that gets the CUDA image standing again.
Fixed
- The CUDA Docker image builds again. 1.23.0 published only the
cpuandcuda-legacyimages: the restricted lock's setuptools 84.1.0 conflicted with the CUDA base image's torch 2.11.0 (setuptools<82). The lock is held at setuptools 81.0.0 and CI now resolves each lock on its image's base torch, so this cannot ship again.ghcr.io/ncoevoet/facet:1.23.1-cuda(and1.23-cuda,latest-cuda) is published again. --upgrade-dbno longer re-measures every no-subject photo on each run (#257); photos still carrying the neutral 5.0 of a version before 1.21.0 are rewritten once.
Security
- virtualenv 21.14.13 (GHSA-4f8h-vr72-p32c, GHSA-cx6f-vjhg-g3cc). virtualenv is only pulled in by
pre-commit; Facet's runtime is unaffected.
Thanks
- @ch1y0q for their first contribution:
--upgrade-dbno longer re-runs BiRefNet on every no-subject photo (#257), found and measured on a real 13,720-photo library.
Upgrading
- CUDA users who stayed on 1.22.x because the 1.23.0 CUDA image was missing can upgrade directly; read the 1.23.0 notes first.
Not verified
- The
cuda-legacylock resolution on Python 3.11 ran in CI only.
Full changelog: v1.23.0...v1.23.1