Diffusion Explainer: Visual Explanation for Text-to-image 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:
https://poloclub.github.io/diffusion-explainer/.
645843d272b60ae7a3805c2e
Seongmin Lee
extracted_pending
2023-05-08T00:35:31.834Z
621941cc2ee50e403d53a1a5
/avatars/fd3b35578075adf58f9327cef6eeb3e2.svg
Seongmin Lee
user
seongminlee
645843d272b60ae7a3805c2f
Benjamin Hoover
extracted_confirmed
2024-08-12T21:52:53.547Z
60f5760bd31a78f18ee438be
https://cdn-avatars.huggingface.co/v1/production/uploads/1644418412771-60f5760bd31a78f18ee438be.png
Ben Hoover
user
bhoov
645843d272b60ae7a3805c30
Hendrik Strobelt
admin_assigned
2023-05-25T07:59:12.664Z
60f58f250e0bc7f10bb020ad
https://cdn-avatars.huggingface.co/v1/production/uploads/1642069891298-60f58f250e0bc7f10bb020ad.jpeg
Hendrik Strobelt
user
hen
645843d272b60ae7a3805c31
Zijie J. Wang
645843d272b60ae7a3805c32
ShengYun Peng
645843d272b60ae7a3805c33
Austin Wright
extracted_confirmed
2023-05-09T16:48:31.218Z
6373d5637da0b794a57e539e
/avatars/ef917a6d02e46f06560944f9eee32067.svg
Austin P Wright
user
APWright
645843d272b60ae7a3805c34
Kevin Li
645843d272b60ae7a3805c35
Haekyu Park
645843d272b60ae7a3805c36
Haoyang Yang
645843d272b60ae7a3805c37
Duen Horng Chau
admin_assigned
2023-05-25T08:06:41.287Z
6321e4f915b7beab57c41160
https://cdn-avatars.huggingface.co/v1/production/uploads/1663166024037-6321e4f915b7beab57c41160.jpeg
Duen Horng Chau
user
polochau
Diffusion Explainer: Visual Explanation for Text-to-image 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:
https://poloclub.github.io/diffusion-explainer/.
Diffusion Explainer is an interactive web-based visualization tool that explains how text prompts are transformed into images by Stable Diffusion, supporting education on AI techniques.
Diffusion Explainer Stable Diffusion visual overview interactive visualization image generation refinement timesteps open-sourced tool