DreamBooth is a deep learning generation model used to fine-tune existing text-to-image models, developed by researchers from Google Research and Boston University in 2022. Originally developed using Google's own Imagen text-to-image model, DreamBooth implementations can be applied to other text-to-image models, where it can allow the model to generate more fine-tuned and personalised outputs after training on three to five images of a subject.
After a long history of software and web development (both front and back end). I left the financial programming world to try my hand at other things and other experiences. Excellent English skills and presentation abilities from my teaching combined with a high level of programming knowledge which I have pursued consistently at the same time. I am especially interested in how technology can be combined with education and collaboration in projects, businesses and learning. Competent in: AWS, Java; JSTL, Hibernate, Lucene and Swing. PHP, Zend. Web development in HTML, CSS and CMS' Wordpress, Drupal, and Joomla! Read more at http://jamesrtyrrell.com where I'm looking at the future of AI art and other topics of interest.
Posts and articles by James
Using Stable Diffusion to create personalized AI art – Part 1 of 3
Using Stable Diffusion to create personalized AI art is possible; However, it takes a little bit of work. Stable Diffusion is an open-source text-to-image AI model that can generate amazing images from given texts in seconds. This first article will help you get the default Stable Diffusion installed on your local machine and check that it can run.