Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models

17 June 2024

Alireza Ganjdanesh

Reza Shirkavand

Heng Huang

Papers citing "Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models"

6 / 6 papers shown

Title
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand Peiran Yu Shangqian Gao Gowthami Somepalli Tom Goldstein Heng-Chiao Huang 105 1 0 13 Mar 2025
QNCD: Quantization Noise Correction for Diffusion Models Huanpeng Chu Wei Wu Chengjie Zang Kun Yuan DiffM MQ 29 4 0 28 Mar 2024
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 74 38 0 27 May 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 75 5,262 0 03 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015