Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

2 April 2024

Shuaiqi Wang

Sergey Yekhanin

Sergey Yekhanin

Yu Wang

Papers citing "Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better"

6 / 6 papers shown

Title
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 91 0 0 26 Mar 2025
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 36 0 0 09 Oct 2024
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs Enshu Liu Junyi Zhu Zinan Lin Xuefei Ning Matthew B. Blaschko Shengen Yan Guohao Dai Huazhong Yang Yu Wang MoE 44 5 0 01 Jul 2024
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 150 985 0 25 Nov 2023
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module Simian Luo Yiqin Tan Suraj Patil Daniel Gu Patrick von Platen Apolinário Passos Longbo Huang Jian Li Hang Zhao MoMe 100 139 0 09 Nov 2023
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li Huixia Li Xiawu Zheng Jie Wu Xuefeng Xiao Rui Wang Min Zheng Xin Pan Fei Chao R. Ji 74 19 0 19 Sep 2023