Several samples on X suggest that GPT-4o Imagegen can be used for infographics (1, 2, 3, 4). In my experiments, instructions to Imagegen need to be on-point: simply supplying a Readme.md with all kinds of different notes on a code project and asking it to visualize the build process does not work - the model will even start to hallucinate random things. What works instead is to ask GPT-4.5 to build the prompt for Imagegen, and keep it simple: elaborate layouting instructions like this also overwhelm the model:

[…] Near the bottom or top, add a small list of runtime dependencies (libusb, libglib2.0, etc.) to illustrate what must be present on the target system. […]

Payload instructions that works for the base diagram:

Thin Client Build Flow:
1. Box: “Prerequisites (CMake, Clang, Libraries)”
2. Box: “Build using CMake/Clang”

Intermediate result #1 (pink redactions added manually):

This can be iterated on, like adding a headline. Also, a style reference in the form of an existing diagram can be passed. I like Leonie Monigatti’s distinctive style, so gave one of her diagrams as the style reference:

Redo the first chart in the style of the second. Do not change the content, just the style.

Intermediate result #2:

Further iterations:

1. “Turn it into an infographic, Studio Ghibli stlye. Include an instructor character that’s pointing to the flowchart.”
2. “Make the instructor look like me” (include photo)
3. “Censor [some items]. For censoring, retain the original style and make it appear as if deleted with a rubber. Make it beautiful.”

Final result:

Food for thought: ethical implications and ethical conduct when using the works of others as a style reference.

[Update 2025-04-13]
OpenAI for Business has published a guide featuring infographics: Using image generation in ChatGPT - 5 examples. The two infographics prompts presented there:

• “Create a visual guide for conducting an ORSA (UK/EU) regulatory assessment”
• “Create a technical architecture diagram illustrating [describe the diagram in detail]” The first prompt is interesting because it does not describe to the model what to draw in detail but relies on its internal world-knowledge.

Meanwhile, physician Derya Unutmaz keeps sharing medical infographics made with GPT-4o on X.