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Diffusers

A code library for generating images, video and audio with diffusion models such as Stable Diffusion.

What it does

Diffusers is a Python library from Hugging Face for working with "diffusion models", the kind of AI behind tools like Stable Diffusion. These models create images, video or audio by starting from random noise and gradually refining it into a picture or sound.

With a few lines of code, a programmer can load a ready-made model and turn a text description into an image. The library also offers interchangeable parts for building custom systems, plus guides for making models faster, using less memory and training your own.

It connects to the Hugging Face Hub, where thousands of ready-made models can be downloaded.

Who it's for

Programmers, researchers and artists who code and want to build or experiment with AI image, video or audio generation.

Can I use it without coding?

Developers only. It's a Python library; you write code to use it, and a graphics card helps a lot. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Computer
Works best on a powerful computer or one with a graphics card (GPU)
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

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