41 lines
1.0 KiB
YAML
41 lines
1.0 KiB
YAML
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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