This is the Linux app named DreamBooth Dataset whose latest release can be downloaded as dreamboothsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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DreamBooth Dataset
DESCRIPTION
DreamBooth is a research project and dataset repository representing the official assets for the DreamBooth technique, a method for fine-tuning text-to-image generative diffusion models so they can generate specific, personalized subjects from just a handful of example images. Originally developed by researchers at Google Research and Boston University, DreamBooth works by associating a unique identifier token with a small set of photos of a person, object, or style, enabling the model to produce diverse and accurate images of that subject in new contexts once fine-tuned. This method addresses a common limitation of general-purpose diffusion models, which often struggle to faithfully reproduce lesser-known or custom subjects without extensive retraining.
Features
- Fine-tuning text-to-image diffusion models with very few subject images
- Associates unique identifier tokens with custom subjects for personalized generation
- Enables subject synthesis across diverse styles or contexts
- Released with dataset and prompts tailored to research use
- Foundation for community implementations in tools like Stable Diffusion
- Drives research in personalized image generation and generative model adaptation
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dreambooth-dataset.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
