From the course: Programming Generative AI: From Variational Autoencoders to Stable Diffusion with PyTorch and Hugging Face

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Diffusers and the Hugging Face ecosystem

Diffusers and the Hugging Face ecosystem

From the course: Programming Generative AI: From Variational Autoencoders to Stable Diffusion with PyTorch and Hugging Face

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Diffusers and the Hugging Face ecosystem

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- Before we dive into the code using the Diffusers library from Hugging Face, I wanted to give a very quick overview of kind of the larger Hugging Face ecosystem in a similar way to when I presented PyTorch for the first time. Since there are a lot of interacting libraries, modules, components, and a lot of places you might need to or want to look to learn more about this library or any other library in the Hugging Face ecosystem. Now, Hugging Face itself is a company that has open source packages and a bunch of other aspects, like they have a hosted inference API, they have hosted data sets, and they also have commercial offerings. We'll only be looking at their open source things and libraries, and they actually have quite a few of them that happen to all inter-opt pretty nicely. So if we go to huggingface.co/docs, we can see the kind of main hub for all of the documentation here. We have the Transformers library, which we'll get into in the next lesson, which is really focused on…

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