May 8, 2023, 12:45 a.m. | Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

cs.CL updates on arXiv.org arxiv.org

Diffusion-based generative models' impressive ability to create convincing
images has captured global attention. However, their complex internal
structures and operations often make them difficult for non-experts to
understand. We present Diffusion Explainer, the first interactive visualization
tool that explains how Stable Diffusion transforms text prompts into images.
Diffusion Explainer tightly integrates a visual overview of Stable Diffusion's
complex components with detailed explanations of their underlying operations,
enabling users to fluidly transition between multiple levels of abstraction
through animations and interactive …

arxiv attention diffusion experts explainer generative generative models global global attention image images interactive operations prompts stable diffusion text text-to-image tool visualization

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