I can confirm that this was true when I tried something very similar with ChatGPT several months ago, and that my recent experiments with image generation in that context involving specific geometric constructions have also generally gone badly despite multiple iterations of prompt tuning (both manually and in separate text conversations with the bot).
The case I’m most curious about is actually the hybrid case: if you want to embed a specific geometry inside a larger image in some way, where the context of the larger image is ‘softer’, much more amenable to the image model and not itself amenable to traditional-code-based generation, what’s the best approach to use?
I can confirm that this was true when I tried something very similar with ChatGPT several months ago, and that my recent experiments with image generation in that context involving specific geometric constructions have also generally gone badly despite multiple iterations of prompt tuning (both manually and in separate text conversations with the bot).
The case I’m most curious about is actually the hybrid case: if you want to embed a specific geometry inside a larger image in some way, where the context of the larger image is ‘softer’, much more amenable to the image model and not itself amenable to traditional-code-based generation, what’s the best approach to use?