Abstract: A method includes receiving a natural language description of an image to be generated using a machine learning model. The method further includes extracting, from the natural language description of the image to be generated, a control element and a sub-prompt. The method further includes identifying a relationship between the control element and the sub-prompt based on the natural language description of the image to be generated. The method further includes generating, by the machine learning model, an image based on the control element, the sub-prompt, and the relationship. The image includes visual elements corresponding to the control element and the sub-prompt.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for data processing include obtaining a text generation prompt and a target token indicating an image generation prompt attribute, generating an image generation prompt based on the text generation prompt and the target token, where the image generation prompt has the image generation prompt attribute, and generating a synthetic image based on the image generation prompt.

Abstract: A method includes receiving a description of content to be generated using a generative model. The received description of content is associated with a user profile. The method further includes determining a semantic term based on the description of content. The method further includes generating a user-specific template including the semantic term and a user preference associated with the user profile. The method further includes generating the content using the generative model based on the user-specific template. The method further includes outputting the content for display on a target user device.

Abstract: A method includes receiving a natural language description of an image to be generated using a machine learning model. The method further includes extracting, from the natural language description of the image to be generated, a control element and a sub-prompt. The method further includes identifying a relationship between the control element and the sub-prompt based on the natural language description of the image to be generated. The method further includes generating, by the machine learning model, an image based on the control element, the sub-prompt, and the relationship. The image includes visual elements corresponding to the control element and the sub-prompt.