py311-diffusers

State-of-the-art diffusion in PyTorch and JAX

Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Diffusers offers three core components: * State-of-the-art diffusion pipelines that can be run in inference with just a few lines of code. * Interchangeable noise schedulers for different diffusion speeds and output quality. * Pretrained models that can be used as building blocks, and combined with schedulers, for creating your own end-to-end diffusion systems.