Diffusion-based generative models' impressive ability to create convincing
images has garnered global attention. However, their complex internal
structures and operations often pose challenges for non-experts to grasp. We
introduce Diffusion Explainer, the first interactive visualization tool
designed to elucidate how Stable Diffusion transforms text prompts into images.
It tightly integrates a visual overview of Stable Diffusion's complex
components with detailed explanations of their underlying operations. This
integration enables users to fluidly transition between multiple levels of
abstraction through animations and interactive elements. Offering real-time
hands-on experience, Diffusion Explainer allows users to adjust Stable
Diffusion's hyperparameters and prompts without the need for installation or
specialized hardware. Accessible via users' web browsers, Diffusion Explainer
is making significant strides in democratizing AI education, fostering broader
public access. More than 7,200 users spanning 113 countries have used our
open-sourced tool at this https URL A video
demo is available at this https URL

Diffusion Explainer 是第一个交互式可视化工具，通过动画和交互元素全面解释了 Stable Diffusion 如何将文本提示转化为图像。这个工具不需要安装或专门硬件，通过用户的 web 浏览器访问，旨在推动人工智能教育的民主化，扩大公众的获取范围。

稳定扩散的交互式视觉学习

Interactive Visual Learning for Stable Diffusion

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 elements. By comparing the evolutions of
image representations guided by two related text prompts over refinement
timesteps, users can discover the impact of prompts on image generation.
Diffusion Explainer runs locally in users' web browsers without the need for
installation or specialized hardware, broadening the public's education access
to modern AI techniques. Our open-sourced tool is available at:
this https URL

Diffusion Explainer 是第一个交互式可视化工具，可以解释稳态扩散是如何将文本提示转换为图像的，它紧密地集成了稳态扩散的复杂组件的视觉概述和其底层操作的详细解释，使用户可以通过动画和交互元素在多个抽象级别之间流畅转换。它能帮助用户发现提示对图像生成的影响，该工具在用户的 Web 浏览器中本地运行，不需要安装或专业硬件，并且可以拓宽公众对现代 AI 技术的理解。