DreamBooth
It’s like a photo booth, but once the subject is captured, it can be synthesized wherever your dreams take you…
Product Information
This tool is verified because it is either an established company, has good social media presence or a distinctive use case
Release date22 June, 2023
PlatformDesktop
DreamBooth Features
DreamBooth is a new approach for 'personalization' of text-to-image diffusion It fine-tunes a pretrained text-to-image model using only 3-5 user provided images of a subject. This is achieved by binding a unique identifier with the specified subject. Once the subject is embedded in the output domain of the model, the unique identifier can then be used to synthesize fully-novel photorealistic images of the subject contextualized in different scenes.
Key features:
Able to to fine-tune a text-to-image model using only 3-5 images.
Able to synthesize fully-novel photorealistic images of the subject.
Can also synthesize images with specified viewpoints for a subject.
Developed by Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein and Kfir Aberman - Google AI Research.
Image source
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