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Add DreamBooth hackathon
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hackathon/README.md

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# DreamBooth Hackathon 🏆
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Welcome to the DreamBooth Hackathon! This is a community event where you'll **personalise a Stable Diffusion model by fine-tuning it on a handful of your own images.** To do so, you'll use a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242), which allows one to implant a subject (e.g. your pet or favourite dish) into the output domain of the model such that it can be synthesized with a _unique identifier_ in the prompt.
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This competition is composed of 5 _themes_, where each theme will collect models belong to the following categories:
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* **Animal 🐨:** Use this theme to generate images of your pet or favourite animal hanging out in the Acropolis, swimming, or flying in space.
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* **Science 🔬:** Use this theme to generate cool synthetic images of galaxies, proteins, or any domain of the natural and medical sciences.
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* **Food 🍔:** Use this theme to tune Stable Diffusion on your favourite dish or cuisine.
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* **Landscape 🏔:** Use this theme to generate beautiful landscapes of your faourite mountain, lake, or garden.
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* **Wildcard 🔥:** Use this theme to go wild and create Stable Diffusion models for any category of your choosing!
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We'll be **giving out prizes to the top 3 most liked models per theme**, and you're encouraged to submit as many models as you want!
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## Getting started
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Follow the steps below to take part in this event:
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1. Join the [Hugging Face Discord server](https://huggingface.co/join/discord) and check out the `#dreambooth-hackathon` channel to stay up to date with the event.
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2. Launch and run the [DreamBooth notebook](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/dreambooth.ipynb) to train your models by clicking on one of the links below. Make sure you select the GPU runtime in each platform to ensure your models train fast!
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| Notebook | Colab | Kaggle | Gradient | Studio Lab |
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|:--------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| DreamBooth Training | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/diffusion-models-class/blob/main/hackathon/dreambooth.ipynb) | [![Kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/dreambooth.ipynb) | [![Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://console.paperspace.com/github/huggingface/diffusion-models-class/blob/main/hackathon/dreambooth.ipynb) | [![Open In SageMaker Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/huggingface/diffusion-models-class/blob/main/hackathon/dreambooth.ipynb) |
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## Evaluation & Leaderboard
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To be in the running for the prizes, push one or more DreamBooth models to the Hub with the `dreambooth-hackathon` tag in the model card ([example](https://huggingface.co/lewtun/ccorgi-dog/blob/main/README.md#L9)). This is created automatically by the [DreamBooth notebook](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/dreambooth.ipynb), but you'll need to add it if you're running your own scripts.
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Models are evaluated according to the number of likes they have and you can track your model's ranking on the hackathon's leaderboard:
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* [DreamBooth Leaderboard](https://huggingface.co/spaces/dreambooth-hackathon/leaderboard)
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## Timeline
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* **December 21, 2022** - Start date
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* **December 31, 2022** - Colab Pro registration deadline
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* **January 22, 2023** - Final submissions deadline (closing of the leaderboard)
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* **January 23-27, 2023** - Announce winners of each theme
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All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted.
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## Prizes
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We will be awarding 3 prizes per theme, where **winners are determined by the models with the most likes** on the leaderboard:
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**1st place winner**
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* [Hugging Face Pro subscription](https://huggingface.co/pricing) for 1 year or a $100 voucher for the [Hugging Face merch store](https://store.huggingface.co/)
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**2nd place winnner**
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* A copy of the [_NLP with Transformers_](https://transformersbook.com/) book or a $50 voucher for the [Hugging Face merch store](https://store.huggingface.co/)
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**3rd place winner**
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* [Hugging Face Pro subscription](https://huggingface.co/pricing) for 1 month or a $15 voucher for the [Hugging Face merch store](https://store.huggingface.co/)
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## Compute
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Google Colab will be sponsoring this event by providing fere Colab Pro credits to 100 participants (selected randomly). To register for these credits, please fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSeE_js5bxq_a_nFTglbZbQqjd6KNDD9r4YRg42kDFGSb5aoYQ/viewform).
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![](https://lh3.googleusercontent.com/-l6dUgmPOKMM/X7w3nNn3OpI/AAAAAAAALAg/74fTRiPqikMURTD_Dn4PzAVADey2_6lLwCNcBGAsYHQ/s400/colab-logo-128x128.png)

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