doc: add reference
Browse files- README.md +3 -3
- app/gradio/app.py +1 -1
README.md
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* spin off your own app with [DALL-E Playground repository](https://github.com/saharmor/dalle-playground) (thanks [Sahar](https://twitter.com/theaievangelist))
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* try [DALL路E Flow](https://github.com/jina-ai/dalle-flow) project for generating, diffusion, upscaling in a Human-in-the-Loop workflow.
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[](https://colab.research.google.com/github/jina-ai/dalle-flow/blob/main/client.ipynb)
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## How does it work?
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Refer to [our report](https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA).
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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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* [Phil Wang](https://github.com/lucidrains) has provided a lot of cool implementations of transformer variants and gives interesting insights with [x-transformers](https://github.com/lucidrains/x-transformers)
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* [Katherine Crowson](https://github.com/crowsonkb) for [super conditioning](https://twitter.com/RiversHaveWings/status/1478093658716966912)
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## Citing DALL路E mini
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* spin off your own app with [DALL-E Playground repository](https://github.com/saharmor/dalle-playground) (thanks [Sahar](https://twitter.com/theaievangelist))
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* try [DALL路E Flow](https://github.com/jina-ai/dalle-flow) project for generating, diffusion, upscaling in a Human-in-the-Loop workflow.
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[](https://colab.research.google.com/github/jina-ai/dalle-flow/blob/main/client.ipynb)
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## How does it work?
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Refer to [our report](https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA).
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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 and always giving great suggestions
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* [Phil Wang](https://github.com/lucidrains) has provided a lot of cool implementations of transformer variants and gives interesting insights with [x-transformers](https://github.com/lucidrains/x-transformers)
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* [Katherine Crowson](https://github.com/crowsonkb) for [super conditioning](https://twitter.com/RiversHaveWings/status/1478093658716966912)
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* the [Gradio team](https://gradio.app/) made an amazing UI for our app
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## Citing DALL路E mini
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app/gradio/app.py
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gr.Markdown(
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"""___
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<p style='text-align: center'>
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Created by Boris Dayma et al. 2021-2022
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<br/>
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<a href="https://github.com/borisdayma/dalle-mini" target="_blank">GitHub</a> | <a href="https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA" target="_blank">Project Report</a>
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</p>"""
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gr.Markdown(
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"""___
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<p style='text-align: center'>
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Created by <a href="https://twitter.com/borisdayma" target="_blank">Boris Dayma</a> et al. 2021-2022
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<br/>
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<a href="https://github.com/borisdayma/dalle-mini" target="_blank">GitHub</a> | <a href="https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA" target="_blank">Project Report</a>
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</p>"""
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