I've found a core misconception is persistent... people use the CLIP interrogator model expecting it to recover the original prompt from an image. It cannot do this, and if you look at the architecture, it becomes clear why. The mapping from prompt to image is non-injective — many different prompts produce nearly identical outputs, and some visual features in a generated image were never written explicitly in any prompt at all. There is no hidden string to extract.
What CLIP Interrogator actually does is more useful than that framing suggests. It takes a reference image and gives you back a structured, prompt-shaped approximation — something with the vocabulary and grammar that image generation models actually respond to. Subject matter, style cues, medium, composition. It can provide a starting point you can refine!
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