Abstract: A system has a server to train an artificial intelligence model on training data characterizing a good or service to form a trained model. A client device is associated with a user. The client device executes instructions on a processor to receive the trained model via a network connection to the server, collect user data and obtain a personalized digital image advertisement from the trained model and user data. The personalized digital image advertisement includes a synthetic digital image formed by a trained machine learning model. The personalized digital image advertisement is transformed with fine-grained image control modifications, quality assurance operations, and branding assurance operations to form a final personalized digital image advertisement. The final personalized digital image advertisement is presented on the client device.

Abstract: A system has a server to train an artificial intelligence model on training data characterizing a good or service to form a trained model. A client device is associated with a user. The client device executes instructions on a processor to receive the trained model via a network connection to the server, collect user data and obtain a personalized digital image advertisement from the trained model and user data. The personalized digital image advertisement includes a synthetic digital image formed by a trained machine learning model. The personalized digital image advertisement is transformed with fine-grained image control modifications, quality assurance operations, and branding assurance operations to form a final personalized digital image advertisement. The final personalized digital image advertisement is presented on the client device.

Abstract: A method includes receiving input frames of video information. An uplink channel receives a requirements indication from a mobile device configured to implement a diffusion model. Based upon the requirements indication, a current video coding modality is selected from among a first video coding modality and a second video coding modality where the first video coding modality utilizes diffusion, and the second video coding modality does not utilize diffusion. Video coding data is generated by processing the input frames of video information using the current video coding modality. The video coding data is sent to the mobile device.