Text-to-image diffusion models are an advanced tool that can be used to generate images based on text prompts. Google DeepMind recently introduced Imagen 2, which is a more sophisticated version of this technology with improved features like inpainting and outpainting, which allow users to add new content to existing images or enlarge photos and add more context.
In addition, Imagen 2 utilizes diffusion-based techniques, which offer greater flexibility and ease of controlling and generating images. To avoid inaccuracy, the model has detailed image captions included in the training dataset, addressing common issues that text-to-picture techniques face.
Moreover, Imagen 2 has an aesthetic scoring model that considers human preferences, composition, exposure, focus, and other factors. It also includes the Imagen API within Google Cloud Vertex AI, and Google Arts & Culture has incorporated Imagen 2 into their Cultural Icons interactive learning platform.
In conclusion, Google DeepMind’s Imagen 2 is an advanced text-to-image technology with sophisticated features. It is a powerful tool that can be used for diverse purposes in fields like art, education, and commerce.
Rachit Ranjan is a consulting intern at MarktechPost. He is pursuing his B.Tech from Indian Institute of Technology(IIT) Patna and is interested in Artificial Intelligence and Data Science.