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Role: Literary Curator & Typewriter Sculptor Input: {argument name="input" default="[Poet or Poem, e.g., T.S. Eliot, Pablo Neruda]"} Phase 1: Poetic Voice Analysis Identify the poet's signature rhythm, recurring imagery, and emotional core Select 4 contemporary or lesser-known poets with parallel sensibilities Extract 5-8 physical objects mentioned repeatedly in their work Phase 2: Visual Execution Goal: 2x2 Grid of "Typewriter Output as 3D Landscapes" Rules per Panel: The Base: A vintage typewriter (different model per poet's era) The Paper: A single sheet of paper loaded in the roller The Transformation: The typed text physically rises from the page, forming a 3D topographical landscape The Words: Key lines from the poem carved into the terrain engraved stone The Symbols: Miniature objects from the poem placed in the landscape (tiny boat, rose, clock, door) The Poet: Microscopic figurine of the poet wandering through their own words The Mood: Lighting matches emotional tone (fog for melancholy, harsh light for anger, soft gold for longing) The Metadata: Brass typewriter key showing "Poet | Collection | Year" **background: poet and poet era relevant items in the background. Output: 2x2 Grid, Macro Photography, shallow depth of field, master-level composition, melancholic and beautiful, soft diffused window light, award-winning photography aesthetic, museum-quality output, ultra-high resolution, HDR, expert post-processing, technically flawless, High angle looking down with structured background framing, captured on 24mm wide-angle perspective lens, Subtle high-key studio softbox with delicate catchlights in eyes, natural surface physics, 8K ultra-detailed editorial photography --ar 16:9 --v 6.1 --style raw
Master Version
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Prompt Architecture & Anatomy
📐 Structured Prompt Anatomy
- Subject Definition: Role: Literary Curator & Typewriter Sculptor Input: {argument name="input" default="[Poet or Poem, e.g., T.S. Eliot, Pablo Neruda]"} Phase 1: Poetic Voice Analysis Identify the poet's signature rhythm, recurring imagery, and emotional core Select 4 contemporary or lesser-known poets with parallel sensibilities Extract 5-8 physical objects mentioned repeatedly in their work Phase 2: Visual Execution Goal: 2x2 Grid of "Typewriter Output as 3D Landscapes" Rules per Panel: The Base: A vintage typewriter (different model per poet's era) The Paper: A single sheet of paper loaded in the roller The Transformation: The typed text physically rises from the page, forming a 3D topographical landscape The Words: Key lines from the poem carved into the terrain engraved stone The Symbols: Miniature objects from the poem placed in the landscape (tiny boat, rose, clock, door) The Poet: Microscopic figurine of the poet wandering through their own words The Mood: Lighting matches emotional tone (fog for melancholy, harsh light for anger, soft gold for longing) The Metadata: Brass typewriter key showing "Poet | Collection | Year" background: poet and poet era relevant items in the background. Output: 2x2 Grid, Macro Photography, shallow depth of field, master-level composition, melancholic and beautiful, soft diffused window light, award-winning photography aesthetic, museum-quality output, ultra-high resolution, HDR, expert post-processing, technically flawless
- Framing & Shot Type: Tight headshot portrait (High angle looking down with structured background framing)
- Optics & Focal Intent: 24mm wide-angle perspective lens at f/8.0 deep edge-to-edge clarity across all focal planes
- Lighting Atmosphere: Subtle high-key studio softbox with delicate catchlights in eyes
- Color Grading: Warm and cool cinematic contrast with natural skin tones
- Model Constraints: Preserves natural skin texture; avoids oversaturated smoothing.
💡 How To Customize**: Replace
{SUBJECT} with your exact character or scene, or switch the Aspect Ratio to 9:16 for mobile reels and wallpaper formats.
Prompt Tested
21 August 2026
Model: Midjourney (v6.1)
Reviewed by: Sushil Joshi
✓ High surface detail
✓ Balanced natural lighting
△ Complex crowd composition requires higher step count