FWIW I think a multimodal model could be trained to do extremely well with it given sufficient training data. A combination of textual description of the system and/or diagram, source code (mermaid, SVG, etc.) for the diagram, and the resulting image, with training to translate between all three.

Agreed. Even simply I'm sure a service like this already exists (or could easily exist) where the workflow is something like:

1. User provides information

2. LLM generates structured output for whatever modeling language

3. Same or other multimodal LLM reviews the generated graph for styling / positioning issues and ensure its matches user request.

4. LLM generates structured output based on the feedback.

5. etc...

But you could probably fine-tune a multimodal model to do it in one shot, or way more effectively.

I had a latex tikz diagram problem which sonnet 3.7 couldn't handle even after 10 attempts. Gemini 2.5 Pro solved it on the second try.

Had the same experience. o3-mini failing misreably, claude 3.7 as well, but gemini 2.5 pro solved it perfectly. (image of diagram without source to tikz diagram)