🐹diffusers

Hugging face diffusers and it allows one to customize the inage generation pipeline.

Diffusers

Overview

Huggingce Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. It can be used to:

• The simple inference solution

• Training customize diffusion model

It focus on:

• Usability over performance

• Simple over easy

• Customizability over abstractions

The main components

It has three main componenets:

• State-of-the-art diffusion pipelines for interence with code

• Interchangeable noise schedulers for balancing trade-offs between generation speed and quality

• Pretrained models that can be used as building blocks, and combined with schedulers, for creating end-to-end diffusion systems

Reference

Huggingface diffusers Diffusers intro