The complexity of AI image prompts: one example

Text-to-image prompts can be extremely complex

 

6 November 2025 – For the above image, here is the prompt (and see my notes below) :

{
  “narrativeIntent”: {
    “message”: “Effortless elegance meets confident sensuality”,
    “emotion”: “Poise, allure, sophistication”,
    “concept”: “A high-fashion editorial portrait of a confident woman radiating timeless beauty and modern grace”
  },
  “subject”: {
    “identity”: “Elegant woman in her late 20s”,
    “appearance”: “Slender silhouette, luminous skin, long flowing hair styled naturally”,
    “pose”: “Relaxed yet confident, slightly leaning, one hand on hip, subtle head tilt”,
    “expression”: “Calm, magnetic gaze, soft smile hinting at mystery”
  },
  “wardrobe”: {
    “outfit”: “Light designer dress with flowing fabric and open shoulders”,
    “style”: “High-end minimalist elegance”,
    “details”: “Soft silk texture, natural drape, gentle movement in fabric”
  },
  “scene”: {
    “environment”: “Modern studio with soft neutral backdrop”,
    “elements”: “Diffused light, elegant shadows, minimal decor for focus on subject”,
    “tone”: “Warm, intimate yet polished”
  },
  “camera”: {
    “angle”: “Medium close-up or half-body portrait”,
    “lens”: “85mm for soft background compression”,
    “focus”: “Sharp on eyes, smooth depth of field on dress and background”
  },
  “lighting”: {
    “type”: “Softbox and natural fill light”,
    “direction”: “Side lighting for contour and depth”,
    “effects”: “Gentle highlights on skin and fabric sheen”
  },
  “fx”: {
    “atmosphere”: [
      “Soft haze for cinematic glow”,
      “Delicate particles catching the light subtly”
    ]
  }
}

 

These are iterative prompts which involve providing a series of instructions or “prompts” to an AI model, with each one refining the output based on the previous results.

A reliable way to structure your prompt is to divide it into sections, acknowledging that the AI’s attention will taper off as it proceeds.

So you need to “build” your image.

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