Abstract: A computer-implemented method includes receiving a request for a type of output image and a prompt from a user that describes an output image. The method further includes selecting, based on the type of output image and the prompt, a machine-learning model from a set of machine-learning models. The method further includes providing the request and the prompt as input to the selected machine-learning model. The method further includes generating, by the selected machine-learning model, the output image that satisfies the request and the prompt.

Abstract: In one embodiment, a method includes receiving an image from a client system associated with a user of an online social network; detecting that a content item depicted in the image is located within a media space; selecting an animation template from a plurality of animations to apply to the image, wherein the selection of the animation is based on the detected content item or the media space; generating an animation based on the selected animation template and an image of the user; and sending, to the client system, instructions to display the animation on the client system associated with the user.