T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with
Trajectory Stitching

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching

21 February 2024

Bohan Zhuang

De-An Huang

Jianfei Cai

Papers citing "T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching"

7 / 7 papers shown

Title
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation Wangbo Zhao Yizeng Han Jiasheng Tang Kai Wang Hao Luo Yibing Song Gao Huang Fan Wang Yang You 71 0 0 09 Apr 2025
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh Yan Kang Yuchen Liu Richard Y. Zhang Zhe Lin Heng Huang DiffM 34 2 0 23 Sep 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh Reza Shirkavand Shangqian Gao Heng Huang DiffM VLM 56 4 0 17 Jun 2024
Faster Diffusion via Temporal Attention Decomposition Haozhe Liu Wentian Zhang Jinheng Xie Francesco Faccio Mengmeng Xu Tao Xiang Mike Zheng Shou Juan-Manuel Perez-Rua Jürgen Schmidhuber DiffM 69 19 0 03 Apr 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 54 6 0 15 Mar 2024
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 138 329 0 28 Nov 2023
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion Anton Razzhigaev Arseniy Shakhmatov Anastasia Maltseva V.Ya. Arkhipkin Igor Pavlov Ilya Ryabov Angelina Kuts Alexander Panchenko Andrey Kuznetsov Denis Dimitrov 48 78 0 05 Oct 2023