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diffusers-torchao
Python

diffusers-torchao

End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).

by sayakpaul · GitHub
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architecture-optimizationdiffusion-modelsfluxApache-2.0Python
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Optimize image and video generation processes with training recipes for specific AI models.

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2026-07-202026-08-31
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📄 About

End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).

diffusers-torchao has 399 stars on GitHub. It has been forked 16 times. diffusers-torchao is written mainly in Python. It has been in active development since 2024. diffusers-torchao is available under the Apache-2.0 license. Its main topics are architecture-optimization, diffusion-models, flux, text-to-image.

Frequently asked questions

What is diffusers-torchao?

End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).

Is diffusers-torchao open source?

diffusers-torchao is an open-source project. It is released under the Apache-2.0 license.

Is diffusers-torchao free?

Yes. diffusers-torchao is free and open source — you can use, modify and self-host it.

What license does diffusers-torchao use?

diffusers-torchao is available under the Apache-2.0 license.

What language is diffusers-torchao written in?

diffusers-torchao is written mainly in Python.

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