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DreamBooth
DreamBooth is a method to personalize text-to-image models like Stable Diffusion given just a few (3-5) images of a subject. It allows the model to generate contextualized images of the subject in different scenes, poses, and views.
Data Preparation
The data format for DreamBooth training is simple. All you need is images of a concept (e.g. a person) and a concept token.
To train a dreambooth model, please select an appropriate model from the hub. When choosing a model from the hub, please make sure you select the correct image size compatible with the model.
The next steps are to add the jobs and click on “Start Training” to start training the model(s).