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.
Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt.
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.