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@@ -30,7 +30,7 @@ Refer to [our report](https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini
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  For inference only, use `pip install git+https://github.com/borisdayma/dalle-mini.git`.
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- For development, clone the repo and use `pip install -e ".[dev]"`.
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  ### Training of VQGAN
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@@ -67,32 +67,34 @@ Trained models are on 🤗 Model Hub:
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  The "armchair in the shape of an avocado" was used by OpenAI when releasing DALL·E to illustrate the model's capabilities. Having successful predictions on this prompt represents a big milestone to us.
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  ## Authors & Contributors
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- ### Main Authors
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  - [Boris Dayma](https://github.com/borisdayma)
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  - [Suraj Patil](https://github.com/patil-suraj)
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  - [Pedro Cuenca](https://github.com/pcuenca)
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-
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- ### Other Members of dalle-mini team during FLAX/JAX community week
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-
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  - [Khalid Saifullah](https://github.com/khalidsaifullaah)
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  - [Tanishq Abraham](https://github.com/tmabraham)
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  - [Phúc Lê Khắc](https://github.com/lkhphuc)
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  - [Luke Melas](https://github.com/lukemelas)
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  - [Ritobrata Ghosh](https://github.com/ghosh-r)
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- ### Contributing
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- Join the community on the [DALLE-Pytorch Discord](https://discord.gg/xBPBXfcFHd).
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- Any contribution is welcome, from reporting issues to proposing fixes/improvements or testing the model on cool prompts!
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- ## Acknowledgements
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- - 🤗 Hugging Face for organizing [the FLAX/JAX community week](https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects)
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- - Google [TPU Research Cloud (TRC) program](https://sites.research.google/trc/) for providing computing resources
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- - [Weights & Biases](https://wandb.com/) for providing the infrastructure for experiment tracking and model management
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  ## Citing DALL·E mini
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@@ -164,4 +166,4 @@ year = {2021}
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  archivePrefix={arXiv},
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  primaryClass={cs.LG}
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  }
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- ```
 
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  For inference only, use `pip install git+https://github.com/borisdayma/dalle-mini.git`.
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+ For development, clone the repo and use `pip install -e ".[dev]"`. Check style with `make style`.
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  ### Training of VQGAN
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  The "armchair in the shape of an avocado" was used by OpenAI when releasing DALL·E to illustrate the model's capabilities. Having successful predictions on this prompt represents a big milestone to us.
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+ ## Acknowledgements
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+
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+ - 🤗 Hugging Face for organizing [the FLAX/JAX community week](https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects)
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+ - Google [TPU Research Cloud (TRC) program](https://sites.research.google/trc/) for providing computing resources
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+ - [Weights & Biases](https://wandb.com/) for providing the infrastructure for experiment tracking and model management
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+
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  ## Authors & Contributors
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+ DALL·E mini was initially developed by:
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  - [Boris Dayma](https://github.com/borisdayma)
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  - [Suraj Patil](https://github.com/patil-suraj)
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  - [Pedro Cuenca](https://github.com/pcuenca)
 
 
 
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  - [Khalid Saifullah](https://github.com/khalidsaifullaah)
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  - [Tanishq Abraham](https://github.com/tmabraham)
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  - [Phúc Lê Khắc](https://github.com/lkhphuc)
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  - [Luke Melas](https://github.com/lukemelas)
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  - [Ritobrata Ghosh](https://github.com/ghosh-r)
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+ Many thanks to the people who helped make it better:
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+ - the [DALLE-Pytorch](https://discord.gg/xBPBXfcFHd) and [EleutherAI](https://www.eleuther.ai/) communities for testing and exchanging cool ideas
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+ - [Rohan Anil](https://github.com/rohan-anil) for adding Distributed Shampoo optimizer
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+ ### Contributing
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+ Join the community on the [DALLE-Pytorch Discord](https://discord.gg/xBPBXfcFHd).
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+ Any contribution is welcome, from reporting issues to proposing fixes/improvements or testing the model with cool prompts!
 
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  ## Citing DALL·E mini
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  archivePrefix={arXiv},
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  primaryClass={cs.LG}
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  }
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+ ```