Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

12 June 2024

Aditya Golatkar

Alessandro Achille

Ashwin Swaminathan

Papers citing "Diffusion Soup: Model Merging for Text-to-Image Diffusion Models"

7 / 7 papers shown

Title
DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Tianhui Song Weixin Feng Shuai Wang X. Li Tiezheng Ge Bo Zheng Limin Wang MoMe 57 0 0 16 Apr 2025
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models Prin Phunyaphibarn Phillip Y. Lee Jaihoon Kim Minhyuk Sung DiffM 84 0 0 26 Mar 2025
A Kernel-Based View of Language Model Fine-Tuning Sadhika Malladi Alexander Wettig Dingli Yu Danqi Chen Sanjeev Arora VLM 66 60 0 11 Oct 2022
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 147 323 0 18 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,010 0 28 Jan 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 125 158 0 24 Dec 2020