Imagen provides advanced generative media capabilities. The Gemini model is particularly well-suited for complex reasoning and general-purpose use cases, while task-specific generative AI models can help businesses offer specialized expertise. The text-to-dynamic image feature previewed today makes Imagen even more powerful for enterprise workloads. This allows marketing and creative teams to generate dynamic images, such as GIFs, based on text prompts. Initially, dynamic images will be delivered at 24 frames per second (fps) at a resolution of 360x640 pixels for a duration of 4 seconds, with plans for continuous enhancement. Designed for enterprise applications, this model excels in subjects like nature, food images, and animals. It can generate a variety of camera angles and actions while maintaining consistency across the entire sequence. Imagen's dynamic image generation capabilities are equipped with safety filters and digital watermarks to uphold the trust commitment between creators and users. Furthermore, we have enhanced Imagen 2.0's image generation capabilities with advanced photo editing features, including patch and expand. These features, now commonly available on Vertex AI, enable users to easily remove unwanted elements from images, add new elements, and expand image boundaries to create a broader perspective. In addition, the digital watermarking feature, based on Google DeepMind's SynthID technology, is now widely available, allowing customers to generate invisible watermarks and verify images and dynamic images generated by the Imagen family of models.