23 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
aMUSEd: An Open MUSE Reproduction
Suraj Patil, William Berman, Robin Rombach +1
We present aMUSEd, an open-source, lightweight masked image model (MIM) for text-to-image generation based on MUSE. With 10 percent of MUSE's parameters, aMUSEd is focused on fast…
cs.CV2023★ 23 cited
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo, Yiqin Tan, Suraj Patil +6
Latent Consistency Models (LCMs) have achieved impressive performance in accelerating text-to-image generative tasks, producing high-quality images with minimal inference steps. LC…