I'm not sure how this connects. Diffusion models are great for certain tasks, not for others. They have sort of a niche use in audio and are the SOTA for image generation, but there is a lot of education (almost all) that doesn't apply to those domains.

When we're talking about multimodal ML systems, the core is generally a transformer-based LLM with no diffusion component.