Systems for incorporating objects into background images

A system comprising:

• one or more non-transitory memories storing computer-executable instructions;
• and
• one or more hardware processors to execute the computer-executable instructions to:
• determine first data associated with first content;
• determine second data associated with second content;
• provide the first data and the second data as inputs to a diffusion model that is trained to generate image data based on data associated with content;
• determine, using the diffusion model, first image data based on the first data and noise data;
• determine, using the diffusion model, a weight parameter associated with one or more of the first data or the second data;
• determine third data based on the weight parameter, the first data, and the second data, and
• determine, using the diffusion model, second image data based on the first image data, the third data, and a parameter indicative of dependence between the first data and the second data.

A system comprising:

• one or more non-transitory memories storing computer-executable instructions;
• and
• one or more hardware processors to execute the computer-executable instructions to:
• determine first data associated with first content;
• determine second data associated with second content;
• provide the first data and the second data as inputs to a machine learning model that is trained to generate image data based on data associated with content;
• determine, using the machine learning model, first image data based on the first data and noise data;
• determine, using the machine learning model, a weight parameter associated with one or more of the first data or the second data;
• and
• determine, using the machine learning model, second image data based on the first image data, the weight parameter, the first data, the second data, and a parameter indicative of dependence between the first data and the second data, wherein based on the weight parameter, the machine learning model determines:
• a first probability of inclusion of a first characteristic associated with the first data in the second image data;
• and
• a second probability of inclusion of a second characteristic associated with the second data in the second image data.