Hugging Face's logo
Join the Hugging Face community

and get access to the augmented documentation experience

to get started


  • Readability and clarity are preferred over highly optimized code. A strong importance is put on providing readable, intuitive and elementary code design. E.g., the provided schedulers are separated from the provided models and use well-commented code that can be read alongside the original paper.
  • Diffusers is modality independent and focuses on providing pretrained models and tools to build systems that generate continuous outputs, e.g. vision and audio. This is one of the guiding goals even if the initial pipelines are devoted to vision tasks.
  • Diffusion models and schedulers are provided as concise, elementary building blocks. In contrast, diffusion pipelines are a collection of end-to-end diffusion systems that can be used out-of-the-box, should stay as close as possible to their original implementations and can include components of other libraries, such as text encoders. Examples of diffusion pipelines are Glide, Latent Diffusion and Stable Diffusion.