CITATION.cff

# YAML 1.2
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abstract: "DALL·E mini is a JAX/Flax reimplementation of OpenAI's DALL·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 DALL·E and train it on a single TPU v3-8 for only 3 days. DALL·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."
authors: 
  -
    family-names: Dayma
    given-names: Boris
  -
    family-names: Patil
    given-names: Suraj
  -
    family-names: Cuenca
    given-names: Pedro
  -
    family-names: Saifullah
    given-names: Khalid
  -
    family-names: Abraham
    given-names: Tanishq
  -
    family-names: "Lê Khắc"
    given-names: "Phúc"
  -
    family-names: Melas
    given-names: Luke
  -
    family-names: Ghosh
    given-names: Ritobrata
cff-version: "1.1.0"
date-released: 2021-07-29
identifiers: 
keywords: 
  - dalle
  - "text-to-image generation"
  - transformer
  - "zero-shot"
  - JAX
license: "Apache-2.0"
doi: 10.5281/zenodo.5146400
message: "If you use this project, please cite it using these metadata."
repository-code: "https://github.com/borisdayma/dalle-mini"
title: "DALL·E Mini"
version: "v0.1-alpha"
...