NVlabs/LoRWeB

We propose a novel modular framework that learns to dynamically mix low-rank adapters (LoRAs) to improve visual analogy learning, enabling flexible and generalizable image edits based on example transformations.

41
/ 100
Emerging
No Package No Dependents
Maintenance 13 / 25
Adoption 9 / 25
Maturity 11 / 25
Community 8 / 25

How are scores calculated?

Stars

72

Forks

5

Language

Python

License

Last pushed

Apr 12, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/fine-tuning/NVlabs/LoRWeB"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.