Select AI Model
A high-quality mixed-media portrait of a {argument name="subject" default="trendy Gen Z teenager"} (using my uploaded person photo) standing on a train station platform at night. The subject is posing coolly, holding the strap of their {argument name="backpack color" default="olive"} backpack with one hand. They are wearing a stylish {argument name="outfit style" default="Gen Z outfit (oversized streetwear, layered black hoodie, gray sweatpants, and chunky sneakers)"}. The background features a realistic 'KRL Jabodetabek' Commuter Line train side view with its signature red striping, with the train doors wide open, bathed in bright, cinematic station lighting and city night ambiance. Surrounding the realistic main subject are several cute, 3D-style 'Chibi' versions of the theirself. same wears and same face. These chibis are interacting playfully: one is sitting on the subject's shoulder, one is climbing their leg, and another is peeking out from the backpack. Overlay the image with vibrant, hand-drawn doodle effects: white drawn outlines around the subject, playful scribbles, stars, sparkles, electric sparks, and floating white and black handwritten slogans 'forever young', 'krl', 'night', and 'gen z vibes'. The style should seamlessly blend hyper-realistic photography with colorful, flat cartoon illustrations. Keeping face and all shape person unchanged, Medium three-quarter profile shot with natural posture, captured on Arri Alexa Mini LF with Cooke Anamorphic /i Prime 40mm lens, High-key crisp editorial studio lighting with subtle catchlights in eyes, authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
Master Version
Variable Customizer
3 parameters
Adjust the fields below to build a tailored version of this prompt.
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