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+ cff-version : 1.2.0
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+ title : ' Diffusers: State-of-the-art diffusion models'
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+ message : >-
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+ If you use this software, please cite it using the
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+ metadata from this file.
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+ type : software
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+ authors :
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+ - given-names : Patrick
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+ family-names : von Platen
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+ - given-names : Suraj
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+ family-names : Patil
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+ - given-names : Anton
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+ family-names : Lozhkov
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+ - given-names : Pedro
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+ family-names : Cuenca
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+ - given-names : Nathan
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+ family-names : Lambert
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+ - given-names : Kashif
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+ family-names : Rasul
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+ - given-names : Mishig
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+ family-names : Davaadorj
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+ - given-names : Thomas
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+ family-names : Wolf
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+ repository-code : ' https://github.com/huggingface/diffusers'
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+ abstract : >-
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+ Diffusers provides pretrained diffusion models across
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+ multiple modalities, such as vision and audio, and serves
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+ as a modular toolbox for inference and training of
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+ diffusion models.
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+ keywords :
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+ - deep-learning
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+ - pytorch
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+ - image-generation
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+ - diffusion
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+ - text2image
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+ - image2image
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+ - score-based-generative-modeling
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+ - stable-diffusion
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+ license : Apache-2.0
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+ version : 0.12.1
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