README.md

metadata

library_name: diffusers
tags:
  - stable diffusion
  - lora
  - loradapter
  - adapter
  - conditioning

Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models

This repository contains the weights for the paper "CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models".

Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Angel Bautista, Björn Ommer

We present LoRAdapter, an approach that unifies both style and structure conditioning under the same formulation using a novel conditional LoRA block that enables zero-shot control. LoRAdapter is an efficient, powerful, and architecture-agnostic approach to condition text-to-image diffusion models, which enables fine-grained control conditioning during generation and outperforms recent state-of-the-art approaches.

🎓 Citation

If you use this codebase or otherwise found our work valuable, please cite our paper:

@misc{stracke2024loradapter,
  title={CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models},
  author={Nick Stracke and Stefan Andreas Baumann and Joshua Susskind and Miguel Angel Bautista and Björn Ommer},
  year={2024},
  eprint={2405.07913},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}