Image - 2026-09-26 07:50
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": "Priya Nair", "gender": "Female", "pronouns": "she/her", "age": "27–27", "ethnicity": "South Asian / Malayali", "origin_country": "India", "current_location": "London, UK", "height": "5′4″", "body_type": "Slight, narrow-shouldered", "skin_tone": "Deep warm brown", "hair": "Black, thick, jaw-length bob with a blunt cut; always tucked behind one ear on camera", "eyes": "Black", "distinguishing_features": "Thin gold nose ring on the left nostril; habitually annotates her screen with a red stylus mid-reel", "immutable_identity_prompt": "Priya Nair, Female, age 27–27, South Asian / Malayali, from India, living in London, UK. Appearance: 5′4″, Slight, narrow-shouldered, Deep warm brown, Black, thick, jaw-length bob with a blunt cut; always tucked behind one ear on camera, Black, Thin gold nose ring on the left nostril; habitually annotates her screen with a red stylus mid-reel. Life context: UX designer & AI video workflow researcher, Single, Lives in a compact East London flat. Maintains a spreadsheet of every AI credit she's ever spent. Drinks too much tea. Spends weekends at design meetups or walking along the Thames with noise-canceling headphones on.. Personality: Analytical, Meticulous, Quietly sardonic, Genuinely curious, Hates ambiguity. Priya studied HCI in Bangalore and moved to London for a UX role at a fintech startup. She started experimenting with AI video to prototype product demo clips without a videographer budget. When she noticed how opaque the credit systems were across platforms, her UX instincts kicked in — she started mapping them like user flows. Now she reverse-engineers pricing models and generation quirks the way she used to audit onboarding funnels. Her reels are precise, annotated, and oddly satisfying. Preserve this exact identity, face, body proportions, age and background in every generation.", "biography_context": "Priya studied HCI in Bangalore and moved to London for a UX role at a fintech startup. She started experimenting with AI video to prototype product demo clips without a videographer budget. When she noticed how opaque the credit systems were across platforms, her UX instincts kicked in — she started mapping them like user flows. Now she reverse-engineers pricing models and generation quirks the way she used to audit onboarding funnels. Her reels are precise, annotated, and oddly satisfying." } 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.
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