Plug-and-Play Diffusion Features
Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023) observed · 2026-10-22
Health v2 · maintenance only
31/100
- Activity 0
- Release rhythm 35
- Longevity 96
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1352
- days_rel: n/a
- days_push: 1220
- n_releases_24m: 0
Adoption not part of the score
1001 stars · 64 forks observed · 2026-10-22
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MichalGeyer/plug-and-play | main | 31 |
| MichalGeyer/pnp-diffusers | backend | 30 |
For agents
markdown · JSON · MCP: product_card(name="MichalGeyer/plug-and-play")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem