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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 | |