daam
Diffusion attentive attribution maps for interpreting Stable Diffusion.
Interpret and understand how Stable Diffusion generates images by using special attention maps to analyze its processes.
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daam has 802 stars on GitHub. It has been forked 70 times. daam is written mainly in Jupyter Notebook. It has been in active development since 2022. daam is available under the MIT license. Its main topics are diffusion, explainable-ai, generative-ai, huggingface.
What is daam?
Diffusion attentive attribution maps for interpreting Stable Diffusion.
Is daam open source?
daam is an open-source project. It is released under the MIT license.
Is daam free?
Yes. daam is free and open source — you can use, modify and self-host it.
What license does daam use?
daam is available under the MIT license.
What language is daam written in?
daam is written mainly in Jupyter Notebook.
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