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{ "prompts": [ { "description": "Ultra-realistic portrait of a stunning young woman with long, dark, wavy hair, wearing a plush red and white Santa hat and a fitted red strapless dress. She has a soft, alluring expression and is looking directly at the camera. The background features a softly blurred Christmas tree with glowing golden bokeh lights, creating a warm and festive atmosphere.", "modifiers": [ "Ultra-realistic", " resolution", "DSLR photography", "Cinematic lighting", "Warm ambient light", "High detail skin texture", "Bokeh effect", "Depth of field", "f/1.8 aperture", "85mm lens", "Photorealistic", "" ], "negative_prompt": "cartoon, 3d render, anime, painting, drawing, low quality, blurry, pixelated, bad anatomy, deformed, ugly, cross-eyed, watermark, text, noise, grain, overexposed" } ], "settings": { "aspect_ratio": "{argument name=\"aspect ratio\"" default=\""9:16\""}"", Over-the-shoulder conversational cinematic framing, captured on Leica M11 with Summilux-M 50mm f/1.4 ASPH lens, Moody chiaroscuro single-source side lighting with deep velvety shadows, authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
Master Version
Prompt Architecture & Anatomy
🧠 Prompt Engineering & Structural Breakdown
- Core Intent: Achieve precise task completion with zero conversational filler and maximum actionable depth
- Role & Persona: Domain expert practitioner with specialized technical insight and pedagogical clarity
- Context & Assumptions: Clear input parameters, defined audience proficiency, and stated foundational assumptions
- Constraints & Boundary Rules: Strict negative constraints: no vague advice, no unsupported claims, adherence to requested format
- Output Structure & Format: Hierarchical markdown organization with bold callouts, ordered steps, and clean tabular data where applicable
- Verification & Quality Checks: Self-correcting validation step ensuring all prompt constraints and sub-questions are fully addressed