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abstract: "DALL路E mini is a JAX/Flax reimplementation of OpenAI's聽DALL路E that requires much smaller hardware resources. By simplifying the architecture and model memory requirements, as well as leveraging open-source code and pre-trained models, we were able to create a model that is 27 times smaller than the original聽DALL路E and train it on a single TPU v3-8 for only 3 days.聽DALL路E mini achieves impressive results, albeit of a lower quality than the original system. It can be used for exploration and further experimentation on commodity hardware." |
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authors: |
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family-names: Dayma |
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given-names: Boris |
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family-names: Patil |
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given-names: Suraj |
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family-names: Cuenca |
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given-names: Pedro |
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family-names: Saifullah |
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given-names: Khalid |
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family-names: Abraham |
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given-names: Tanishq |
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family-names: "L锚 Kh岷痗" |
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given-names: "Ph煤c" |
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- |
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family-names: Melas |
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given-names: Luke |
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family-names: Ghosh |
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given-names: Ritobrata |
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cff-version: "1.1.0" |
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date-released: 2021-07-29 |
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identifiers: |
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keywords: |
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- dalle |
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- "text-to-image generation" |
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- transformer |
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- "zero-shot" |
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- JAX |
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license: "Apache-2.0" |
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doi: 10.5281/zenodo.5146400 |
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message: "If you use this project, please cite it using these metadata." |
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repository-code: "https://github.com/borisdayma/dalle-mini" |
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title: "DALL路E Mini" |
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version: "v0.1-alpha" |
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