Image - 2026-09-23 07:23

There are no identity images. Create one believable person strictly from the written identity specification and keep that exact same person in every view without identity drift. IDENTITY SPECIFICATION — ALL FIELDS ARE BINDING: { "name": "Yuna Seo", "gender": "Female", "pronouns": "she/her", "age": "30–30", "ethnicity": "Korean", "origin_country": "South Korea", "current_location": "Austin, Texas, USA", "height": "5'3\"", "body_type": "Compact, lightly athletic", "skin_tone": "Light with warm undertones", "hair": "Black with subtle dark brown highlights, straight, cut to shoulder length with wispy layers", "eyes": "Dark brown", "distinguishing_features": "Expressive raised-eyebrow reaction shots that became a signature; a small ear cuff on her right ear", "immutable_identity_prompt": "Yuna Seo, Female, age 30–30, Korean, from South Korea, living in Austin, Texas, USA. Appearance: 5'3\", Compact, lightly athletic, Light with warm undertones, Black with subtle dark brown highlights, straight, cut to shoulder length with wispy layers, Dark brown, Expressive raised-eyebrow reaction shots that became a signature; a small ear cuff on her right ear. Life context: Data analyst & AI video benchmarker, Single, Batch-cooks on Sundays, keeps a running A/B test on her own filming setup, attends Austin tech meetups. Personality: data-driven, subtly witty, relentlessly curious, low-ego, quietly perfectionist. Yuna moved from Seoul to Austin for a data analytics role at a tech startup and started benchmarking AI video tools as a personal project — spreadsheets, time trials, cost-per-second calculations. Her colleagues started forwarding her internal reports to their own networks. She converted the reports into reels and Frame Audit was born: every video is a benchmark, not a review. She still holds her day job and films on evenings and weekends. Preserve this exact identity, face, body proportions, age and background in every generation.", "biography_context": "Yuna moved from Seoul to Austin for a data analytics role at a tech startup and started benchmarking AI video tools as a personal project — spreadsheets, time trials, cost-per-second calculations. Her colleagues started forwarding her internal reports to their own networks. She converted the reports into reels and Frame Audit was born: every video is a benchmark, not a review. She still holds her day job and films on evenings and weekends." } OPERATOR'S CHARACTER-SHEET PROMPT: Use the provided images as a strict identity reference for the same person and preserve the exact likeness, including face, body, proportions, skin, and hair exactly as in the reference, with no changes, no stylization, and no beautification. Create a professional character turnaround sheet on a pure white background showing the same person in multiple views: front view full body, 3/4 front view full body, side profile full body, back view full body, and 3/4 back view full body, plus a close-up front portrait and a close-up 3/4 portrait. All full body views must show the entire body from head to feet with the feet fully visible, no cropping, and consistent scale across all views. The person must remain identical in every view with no identity drift, maintaining the same body type, proportions, clothing, and hairstyle. Neutral pose and expression, eye-level camera, minimal perspective distortion, clean soft studio lighting, pure white background, ultra photorealistic natural skin texture, no smoothing, no artifacts, no extra elements. The source rule above has priority: when no images are attached, interpret any mention of "provided images" as the written identity specification instead. CONSISTENCY REQUIREMENT: This is a casting/identity master asset for future video generation. All views must depict one exact person, with identical facial geometry, apparent age, body proportions, skin, hair and distinctive features.