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Art-W

{ "colors": { "dominant_palette": [ "coral_pink", "cerulean_blue", "olive_green", "forest_green", "cream…

Role-Based

Prompt

{
  "colors": {
    "dominant_palette": [
      "coral_pink",
      "cerulean_blue",
      "olive_green",
      "forest_green",
      "cream_white"
    ],
    "application": "Flat, blocks of color with minimal gradients, defined contours."
  },
  "typography": {
    "style": "None present in the image."
  },
  "composition": {
    "structure": "Three horizontal bands: sky/mountain, figures/orange trees, large fruit/table.",
    "perspective": "Flattened, layered planes with stylized depth.",
    "elements": "Simplified forms of people, trees, fruit, and landscape."
  },
  "effects": {
    "texture": "Impasto oil painting texture, visible brushstrokes.",
    "lighting": "Stylized, strong shadows and highlights, non-realistic."
  }
},FALSE,STRUCTURED,alienergizer6@gmail.com

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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