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# Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
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[](https://compvis.github.io/LoRAdapter/)[](https://arxiv.org/abs/2405.07913)
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This repository contains the weights for the paper "CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models".
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[Nick Stracke](https://twitter.com/nickstracke_), [Stefan Andreas Baumann](https://stefan-baumann.eu/), [Joshua Susskind](https://twitter.com/jsusskin), [Miguel Angel Bautista](https://twitter.com/itsbautistam), [Björn Ommer](https://ommer-lab.com/people/ommer/)
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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.
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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.
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## 🎓 Citation
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If you use this codebase or otherwise found our work valuable, please cite our paper:
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```bibtex
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@misc{stracke2024loradapter,
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title={CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models},
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author={Nick Stracke and Stefan Andreas Baumann and Joshua Susskind and Miguel Angel Bautista and Björn Ommer},
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year={2024},
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eprint={2405.07913},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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