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Boys Aesthetic Selfie Portrait

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✦ Gemini / ChatGPT Tested

aspect ratio 9:16 , Keep the person exactly as shown in the reference image with 100% identical facial features, bone structure, 4K details,
{
"category": "portrait_creator",
"category_reasoning": "Image is a self-captured mirror selfie typical of social media content and personal style sharing.",
"adaptable": "subject",
"subject": "Young man taking a mirror selfie with a smartphone.",
"subject_details": "Late teens to early twenties, hair, dark rectangular sunglasses, silver hoop earring, thin silver chain, open green and white plaid flannel over a black crewneck t-shirt, black crossbody bag strap, white smartphone with dual camera lenses.",
"setting": "Indoor, artificially lit space, possibly an elevator, fitting room, or modern hallway.",
"setting_details": "Minimalist background, textured beige or off-white wall panels with a vertical dividing seam.",
"composition": "Medium close-up, eye-level reflection, centered subject, flat depth, symmetrical balance, minimal negative space.",
"camera": "Smartphone camera reflection, standard wide-angle equivalent, deep depth of field, undistorted central framing.",
"lighting": "Soft overhead diffused lighting, low contrast, broad even illumination, minimal directional shadows.",
"color_grade": "Neutral-warm balance, desaturated, lifted blacks, muted greens.",
"color_palette": "Muted sage green, black, white, warm beige.",
"style": "Gen Z streetwear, casual creator, Instagram aesthetic, everyday fashion.",
"mood": "Relaxed, confident, casual.",
"textures_materials": "Soft matte flannel, smooth hard plastic phone case, glossy glass mirror, metallic silver jewelry, hair.",
"post_processing": "Smartphone computational HDR, mild skin smoothing, slight shadow lifting, digital edge sharpening on hair.",
"recreation_prompt": "Young man taking a mirror selfie with a smartphone, late teens, has perfect facial details as reference image, hair, dark rectangular sunglasses, silver hoop earring, thin silver chain, open green and white plaid flannel over a black crewneck t-shirt, black crossbody bag strap, holding a white smartphone, medium close-up, centered, flat beige textured wall background, soft overhead diffused lighting, low contrast, neutral-warm color grade, muted greens, lifted blacks, Gen Z streetwear style, Instagram creator aesthetic, smartphone camera look, deep depth of field, sharp hair texture, subtle skin smoothing.",
"adaptation_prompt": "[YOUR SUBJECT — describe yourself: appearance, outfit, pose] taking a mirror selfie with a smartphone, black crossbody bag strap, holding a white smartphone, medium close-up, centered, flat beige textured wall background, soft overhead diffused lighting, low contrast, neutral-warm color grade, muted greens, lifted blacks, casual streetwear style, Instagram creator aesthetic, smartphone camera look, deep depth of field.",
"negative_prompt": "distorted hands, extra fingers, warped phone, mismatched camera lenses, harsh shadows, high contrast, oversaturated, unnatural facial proportions, blurry reflection.",
"color_science": "Neutral daylight balance with slight warm bias, lifted black levels, muted greens, natural skin tone preservation, low saturation.",
"filter_name": "Smartphone Computational HDR / Mild Beauty Filter",
"filter_description": "Default smartphone processing with soft skin smoothing, lifted shadows, local contrast balancing, and mild digital sharpening.",
"white_balance": "Neutral with a slight warm tint.",
"color_temperature": "Approximately 5000K.",
"tone_curve": "Low contrast, lifted shadows, slightly compressed highlights.",
"dynamic_range": "Standard digital dynamic range, well-balanced exposures with no pure blacks or blown-out highlights.",
"highlight_rendering": "Soft, diffused, smooth rolloff on skin and background.",
"shadow_rendering": "Lifted, low density, soft edges, lacking deep blacks.",
"camera_rendering": "Smartphone digital sensor, computational photography look.",
"lens_rendering": "Deep depth of field, sharp center focus, minimal distortion.",
"noise_profile": "Very low luminance noise, heavily noise-reduced.",
"grain_profile": "",
"sharpness_profile": "Digitally sharpened edges, prominent in hair and plaid pattern, softened on facial skin.",
"retouching_analysis": "Subtle algorithmic skin smoothing and texture softening characteristic of default front/mirror camera processing.",
"portrait_analysis": "Head angled slightly down, relaxed jaw, closed neutral lips, eyes presumably looking at the phone screen.",
"facial_expression": "Neutral, relaxed, subtle confident smirk.",
"micro_expression": "Relaxed orbicularis oris, low facial muscle tension.",
"skin_rendering": "Smooth, matte finish, minimal pore visibility, soft specular highlight on the nose.",
"hair_rendering": "High contrast, sharp individual curls, dense volume, matte texture.",
"lighting_analysis": "Soft top-down diffused interior lighting acting as a broad key light, naturally filling facial shadows, slight shadow cast under the chin.",
"visual_style_analysis": "Casual streetwear fashion portrait, Instagram creator aesthetic, lifestyle photography."
}

Mayank Kapoor portrait
Mayank Kapoor

Mayank Kapoor is the brain behind EditMK.com - an AI prompt engineer with a base in Bengaluru, India. A recent graduate from Reva University, Mayank has carved out a niche for himself in the field of AI image generation - specifically Zero-shot, Few-shot, and Chain-of-Thought prompting techniques. Every prompt we publish on EditMK? He puts those through their paces personally, verifying them one by one before we even put them live.

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