Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Experiment with how text prompts turn into images using the interactive Diffusion Explainer in your browser.
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diffusion-explainer has 482 stars on GitHub. It has been forked 62 times. diffusion-explainer is written mainly in JavaScript. It has been in active development since 2022. diffusion-explainer is available under the MIT license. Its main topics are clip, deep-learning, generative-model, interactive-visualization.
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
diffusion-explainer is an open-source project. It is released under the MIT license.
Yes. diffusion-explainer is free and open source — you can use, modify and self-host it.
diffusion-explainer is available under the MIT license.
diffusion-explainer is written mainly in JavaScript.
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[](https://olud.ai/project/poloclub-diffusion-explainer.html)
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