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app.py
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
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# %% app.ipynb 0
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gr.Markdown(
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"""# Gradio-powered leaderboard for the DreamBooth Hackathon
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Welcome to this Gradio-powered leaderboard! Select a theme and one of the dreambooth models trained by hacakthon-participants, and key in your prompt as shown (eg., a photo of Shiba dog in a jungle)
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<br>**If you like a model demo, click on the model name in the table below and UPVOTE the model on Huggingface hub**<br><br>
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DreamBooth Hackathon - is an ongoing community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject into the output domain of the model such that it can be synthesized with a _unique identifier_ (eg., shiba dog) in the prompt.
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This competition is composed of 5 _themes_ - Animals, Science, Food, Lanscapes, and Wildcards. For details on how to participate, check out the hackathon's guide [here](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/README.md).
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
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# %% app.ipynb 0
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gr.Markdown(
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"""# Gradio-powered leaderboard for the DreamBooth Hackathon
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Welcome to this Gradio-powered leaderboard! Select a theme and one of the dreambooth models trained by hacakthon-participants, and key in your prompt as shown (eg., a photo of Shiba dog in a jungle). Note that, the image generation might take long (around 400 seconds) as it will have to load the respective model pipeline into memory.
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<br>**If you like a model demo, click on the model name in the table below and UPVOTE the model on Huggingface hub**<br><br>
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DreamBooth Hackathon - is an ongoing community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject into the output domain of the model such that it can be synthesized with a _unique identifier_ (eg., shiba dog) in the prompt.
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This competition is composed of 5 _themes_ - Animals, Science, Food, Lanscapes, and Wildcards. For details on how to participate, check out the hackathon's guide [here](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/README.md).
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