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Typographic Portrait Artwork Creation

Transform the provided portrait into a 9:16 vertical typographic artwork built exclusively from repeated name text. STRICT RULES: - The ima…

Role-Based

Prompt

Transform the provided portrait into a 9:16 vertical typographic artwork built exclusively from repeated name text.

STRICT RULES:
- The image must be composed ONLY of text (e.g., "MUSTAFA KEMAL ATATÜRK").
- No lines, no strokes, no outlines, no shapes, no shading, no gradients.
- Do NOT draw anything. Do NOT use any brush or illustration effect.
- No stamp borders or shapes — only pure text.
- Every visible detail must come from the text itself.

TEXT CONSTRAINT:
- ALL text must be small and consistent in size.
- Do NOT use large or oversized text anywhere.
- Font size should remain uniform across the entire image.
- The text should feel like fine grain / micro-typography.

Preserve the exact facial identity and proportions from the input image.

COMPOSITION:
- Slightly zoomed-out portrait (not close-up).
- Include full head with some negative space around.

REGIONAL CONTROL:
- Forehead area should be clean or extremely sparse.
- Focus density on eyes, nose, mouth, jawline.

SHADING METHOD:
- Create depth ONLY by changing text density (not size).
- Dark areas = very dense text repetition.
- Light areas = sparse text placement.
- No gradient effects — density alone must simulate light and shadow.

Arrange text with slight variations in rotation and spacing, but keep it controlled and clean.

Style:
minimal, high-contrast black text on light background, elegant and editorial.

No extra text outside the repeated name. No logos. No decorative elements.

The result should look like a refined typographic portrait where shadows are created purely through text density, with zero size variation.,FALSE,TEXT,senoldak

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.

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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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