Select AI Model
{ "prompt": "A realistic top-down perspective photo of a young woman with wavy red hair sitting on a stone pavement outdoors during golden hour. She is looking up at the camera with soft green eyes and a neutral, slightly vulnerable expression. A hand gently touches her cheek. She is wearing a gray zip-up hoodie slightly off her shoulders, a dark tank top, sheer black thigh-high stockings, and a delicate choker necklace. A small black handbag rests beside her. Warm sunlight casts long shadows across the textured pavement. Cinematic lighting, shallow depth of field, ultra-detailed skin texture, natural tones, high-resolution, 85mm lens, photorealistic.", "negative_prompt": "blurry, low resolution, distorted hands, extra fingers, bad anatomy, overexposed, underexposed, harsh shadows, cartoon, anime, oversaturated", "steps": 30, "cfg_scale": 7, "sampler": "", "size": "768x1024" }, Over-the-shoulder conversational cinematic framing, captured on Fujifilm GFX 100 II with GF 110mm f/2 R LM WR lens, Volumetric golden-hour rim lighting at 3800K with soft atmospheric haze, 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
