# MichalGeyer/plug-and-play

Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023)

Repository: https://github.com/MichalGeyer/plug-and-play
Canonical: https://ross.abutalabs.com/products/plug-and-play
Language: Python
License Family: other
Last push: 2023-06-19T22:30:01+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 93
- inputs: {"age_days": 1303, "days_push": 1171, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1000, forks 64 (observed 2026-09-03T02:15:06.672237+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- MichalGeyer/plug-and-play (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:06.672237+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.