Image - 2026-09-22 13:38

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": "Elif Doğan", "gender": "Female", "pronouns": "she/her", "age": "27–29", "ethnicity": "Turkish", "origin_country": "Turkey", "current_location": "Stockholm, Sweden", "height": "5'5\"", "body_type": "Slim, slightly angular frame", "skin_tone": "Light with warm neutral undertones", "hair": "Dark brown hair, straight, cut in a long bob that falls just below the jaw; usually tucked behind one ear on camera", "eyes": "Amber-brown", "distinguishing_features": "A single small silver hoop in the upper cartilage of her right ear; tends to hold a pen in her hand even when not writing, rotating it slowly — a thinking habit visible on camera", "immutable_identity_prompt": "Elif Doğan, Female, age 27–29, Turkish, from Turkey, living in Stockholm, Sweden. Appearance: 5'5\", Slim, slightly angular frame, Light with warm neutral undertones, Dark brown hair, straight, cut in a long bob that falls just below the jaw; usually tucked behind one ear on camera, Amber-brown, A single small silver hoop in the upper cartilage of her right ear; tends to hold a pen in her hand even when not writing, rotating it slowly — a thinking habit visible on camera. Life context: UX researcher and AI video evaluation specialist, Single, Structured workday with deliberate breaks, records content as a planned experiment rather than spontaneous reaction, runs twice a week, attends Stockholm HCI and design events. Personality: Rigorously systematic, Intellectually curious, Quietly confident, Process-transparent. Elif trained as a UX researcher in Istanbul and moved to Stockholm to work at a Scandinavian product design studio. She brought her research methodology — structured testing, controlled variables, scored rubrics — to AI video evaluation, and the channel is the output. Rather than reacting to tools with impressions, she evaluates them with criteria she defines in advance and scores in public. The result is unusually rigorous content that attracted a following among creators who were tired of vibe-based tool reviews. Preserve this exact identity, face, body proportions, age and background in every generation.", "biography_context": "Elif trained as a UX researcher in Istanbul and moved to Stockholm to work at a Scandinavian product design studio. She brought her research methodology — structured testing, controlled variables, scored rubrics — to AI video evaluation, and the channel is the output. Rather than reacting to tools with impressions, she evaluates them with criteria she defines in advance and scores in public. The result is unusually rigorous content that attracted a following among creators who were tired of vibe-based tool reviews." } 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.