📣 The hackathon is now over and the winners have been announced on Discord. You are still welcome to train models and submit them to the leaderboard, but we won’t be offering prizes or certificates at this point in time.
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, 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.
This competition is composed of 5 themes, where each theme will collect models belong to the following categories:
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!
Follow the steps below to take part in this event:
#dreambooth-hackathon
channel to stay up to date with the event.Notebook | Colab | Kaggle | Gradient | Studio Lab |
---|---|---|---|---|
DreamBooth Training |
Note 👋: The DreamBooth notebook uses the CompVis/stable-diffusion-v1-4
checkpoint as the Stable Diffusion model to fine-tune. However, you are totally free to use any Stable Diffusion checkpoint that you want - you’ll just have to adjust the code to load the appropriate components and the safety checker (if it exists). Some interesting models to fine-tune include:
runwayml/stable-diffusion-v1-5
prompthero/openjourney
stabilityai/stable-diffusion-2
hakurei/waifu-diffusion
stabilityai/stable-diffusion-2-1
nitrosocke/elden-ring-diffusion
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). This is created automatically by the DreamBooth notebook, but you’ll need to add it if you’re running your own scripts.
Models are evaluated according to the number of likes they have and you can track your model’s ranking on the hackathon’s leaderboard:
All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted.
We will be awarding 3 prizes per theme, where winners are determined by the models with the most likes on the leaderboard:
1st place winner
2nd place winner
3rd place winner
We will also provide a certificate of completion to all the participants that submit at least 1 DreamBooth model to the hackathon 🔥.
Google Colab will be sponsoring this event by providing fee Colab Pro credits to 100 participants (selected randomly). We’ll be giving out the credits in January 2023, and you have until December 31 to register. To register for these credits, please fill out this form.
You can use any images that belong to you or for which a permissive license allows for. If you’d like to submit a model trained on faces (e.g. as a Wildcard submission), we recommend using your own likeness. Ideally, use your own data where you can - we’d love to see your pets or favorite local landscape features, and we suspect the likes and prizes will tend to go to those who do something nice and personal 😁.
Absolutely! Although this hackathon is focused on DreamBooth, you’re welcome (and encouraged) to experiment with other fine-tuning techniques. This also means you can use whatever frameworks, code, or services that help you make delightful models for the community to enjoy 🥰.