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cff-version: 1.2.0

title: 'Diffusers: State-of-the-art diffusion models'

message: >-

If you use this software, please cite it using the

metadata from this file.

type: software

authors:

- given-names: Patrick

family-names: von Platen

- given-names: Suraj

family-names: Patil

- given-names: Anton

family-names: Lozhkov

- given-names: Pedro

family-names: Cuenca

- given-names: Nathan

family-names: Lambert

- given-names: Kashif

family-names: Rasul

- given-names: Mishig

family-names: Davaadorj

- given-names: Thomas

family-names: Wolf

repository-code: 'https://github.com/huggingface/diffusers'

abstract: >-

Diffusers provides pretrained diffusion models across

multiple modalities, such as vision and audio, and serves

as a modular toolbox for inference and training of

diffusion models.

keywords:

- deep-learning

- pytorch

- image-generation

- diffusion

- text2image

- image2image

- score-based-generative-modeling

- stable-diffusion

license: Apache-2.0

version: 0.12.1