Target model training method, multimodal data processing method, and devices therefor

A multimodal data processing method, comprising:

• inputting multimodal prompt information into a pre-trained target model to obtain target multimodal features of the multimodal prompt information, wherein the multimodal prompt information comprises at least a target text and at least one target entity image, the target text comprises at least one target entity text, and the target entity image comprises an image corresponding to the target entity text;
• the target multimodal features comprise an image feature of the target entity image and a text feature of the target entity text, and the image feature of the target entity image is behind the text feature of the target entity text corresponding to the target entity image;
• and
• using N target diffusion networks in the pre-trained target model to perform feature diffusion on the target multimodal features to obtain a target inference result comprising an image and/or a text associated with the multimodal prompt information;
• wherein N is a positive integer.