# Diffusers Diffusers is a library of state-of-the-art pretrained diffusion models for generating videos, images, and audio. The library revolves around the [`DiffusionPipeline`], an API designed for: - easy inference with only a few lines of code - flexibility to mix-and-match pipeline components (models, schedulers) - loading and using adapters like LoRA Diffusers also comes with optimizations - such as offloading and quantization - to ensure even the largest models are accessible on memory-constrained devices. If memory is not an issue, Diffusers supports torch.compile to boost inference speed. Get started right away with a Diffusers model on the [Hub](https://huggingface.co/models?library=diffusers&sort=trending) today! ## Learn If you're a beginner, we recommend starting with the [Hugging Face Diffusion Models Course](https://huggingface.co/learn/diffusion-course/unit0/1). You'll learn the theory behind diffusion models, and learn how to use the Diffusers library to generate images, fine-tune your own models, and more.