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Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your
  Diffusion Model

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

7 May 2024
Joo Young Choi
Jaesung R. Park
Inkyu Park
Jaewoong Cho
Albert No
Ernest K. Ryu
    AI4CE
ArXivPDFHTML

Papers citing "Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model"

6 / 6 papers shown
Title
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Zhiwei Jia
Yuesong Nan
Huixi Zhao
Gengdai Liu
EGVM
86
0
0
22 Nov 2024
Continual Diffusion: Continual Customization of Text-to-Image Diffusion
  with C-LoRA
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Smith
Yen-Chang Hsu
Lingyu Zhang
Ting Hua
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
126
95
0
12 Apr 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
DiffM
137
155
0
25 Mar 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
141
635
0
26 May 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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