diffusers

Why we included this project

Diffusers is the library most teams reach for when they need to run or train diffusion models in PyTorch. It ships pretrained pipelines for text-to-image, image-to-image, inpainting, and upscaling, so you can load a Stable Diffusion or FLUX checkpoint and generate in a few lines of code. When you need more control, the underlying components stay exposed, so swapping schedulers or adapters is straightforward. The same modular design carries over to video and audio generation, which makes it a practical starting point if your product spans more than one modality. Since it is the reference implementation for many popular open models, documentation and community examples are plentiful, and you rarely have to figure things out from scratch when moving to production.