Portraits
Who are your celebrity doppelgangers?
Who are your celebrity doppelgangers?: Direct an expressive portrait with intentional lighting, styling, and photographic character.
The prompt
The prompt anchors identity, pose, expression, wardrobe, and light to keep the portrait coherent while preserving natural texture and dimensionality. Its strongest visual cues are street photography, photography, portrait.
image prompt
Role: Act as a senior facial recognition analyst and casting director.
Input: Analyze the attached photo of the person.
Task 1: Deep Feature Extraction
Scan the user's face for distinct biometric markers. Analyze:
Bone Structure: Cheekbone height, jaw width, and facial symmetry.
Features: Eye shape/tilt, nose bridge/tip, and lip morphology.
Expression & Vibe: The "energy" of the face (e.g., intense, friendly, stoic).
Task 2: Triangulate Matches
Identify the Top 3 celebrity matches from your dataset.
Match A: The closest overall structural/biometric match.
Match B: A strong match based on specific standout features (e.g., identical eyes or jaw).
Match C: A "mood" or stylistic match (similar vibe or grooming style).
Task 3: Calculate Likeness Scores
Assign a percentage match (0-100%) to each of the three celebrities based on feature correlation.
Task 4: Generate 4-Panel Output
Create a single composite image with a 2x2 Grid Layout titled "TOP CELEBRITY MATCHES".
Layout Instructions:
Top Left (Panel 1): The Original User Image (Input). Label: "ORIGINAL".
Top Right (Panel 2): Celebrity Match A. Label: "{{name}} - {{xx}}%".
Bottom Left (Panel 3): Celebrity Match B. Label: "{{name}} - {{xx}}%".
Bottom Right (Panel 4): Celebrity Match C. Label: "{{name}} - {{xx}}%".
Ensure the celebrity images are high-quality headshots that match the angle of the user's photo as closely as possible for an accurate comparison.
Art direction controls: {{lighting}}.
Tune the prompt, not the plumbing.
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Customized prompt1536 characters
Role: Act as a senior facial recognition analyst and casting director.
Input: Analyze the attached photo of the person.
Task 1: Deep Feature Extraction
Scan the user's face for distinct biometric markers. Analyze:
Bone Structure: Cheekbone height, jaw width, and facial symmetry.
Features: Eye shape/tilt, nose bridge/tip, and lip morphology.
Expression & Vibe: The "energy" of the face (e.g., intense, friendly, stoic).
Task 2: Triangulate Matches
Identify the Top 3 celebrity matches from your dataset.
Match A: The closest overall structural/biometric match.
Match B: A strong match based on specific standout features (e.g., identical eyes or jaw).
Match C: A "mood" or stylistic match (similar vibe or grooming style).
Task 3: Calculate Likeness Scores
Assign a percentage match (0-100%) to each of the three celebrities based on feature correlation.
Task 4: Generate 4-Panel Output
Create a single composite image with a 2x2 Grid Layout titled "TOP CELEBRITY MATCHES".
Layout Instructions:
Top Left (Panel 1): The Original User Image (Input). Label: "ORIGINAL".
Top Right (Panel 2): Celebrity Match A. Label: "the intended name - the intended xx%".
Bottom Left (Panel 3): Celebrity Match B. Label: "the intended name - the intended xx%".
Bottom Right (Panel 4): Celebrity Match C. Label: "the intended name - the intended xx%".
Ensure the celebrity images are high-quality headshots that match the angle of the user's photo as closely as possible for an accurate comparison.
Art direction controls: soft directional studio light.
Useful structure, room to move.
The prompt anchors identity, pose, expression, wardrobe, and light to keep the portrait coherent while preserving natural texture and dimensionality. Its strongest visual cues are street photography, photography, portrait.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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