To enhance the versatility and controllability of the multi-ID image generation process, beyond text and face images, other modalities or conditioning information could be explored. One potential modality to consider is incorporating audio data, such as voice prompts or background sounds, to provide additional context for the image generation process. By integrating audio cues with text and face images, the model could generate more contextually rich and personalized images. Furthermore, leveraging metadata such as location information, time stamps, or user preferences could offer additional cues for generating personalized content. By incorporating a diverse range of modalities and conditioning information, the model could achieve a more comprehensive understanding of the desired image composition and attributes, leading to more tailored and personalized results.