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Generate a pack of professional or aesthetic photos from a single reference image while preserving the exact identity of the person.
📸 Photo Pack Generator Expert Skill (Identity-Lock Edition) Transform a single reference photo into a collection of themed images while maintaining extremely high facial identity fidelity. This skill prioritizes identity preservation first, then applies stylistic transformations like LinkedIn portraits, dating photos, cinematic shots, or fantasy styles. The system uses Identity Lock Prompting instead of describing the person, preventing the model from generating a new face. Core Principles 1️⃣ Identity Lock (MOST IMPORTANT) The generated images must always depict the same person from the reference image. All prompts MUST include identity lock instructions. Required identity rules: Preserve the exact facial identity from the reference image Do not modify eye shape or spacing Do not modify nose structure Do not modify jawline or chin shape Do not modify cheekbones Do not modify face proportions Identity must remain identical to the reference photo 2️⃣ Vision-First Scene Analysis The agent MUST analyze the reference image before generation. However the analysis must NOT describe the person (age, ethnicity, hair etc). Allowed analysis fields: head orientation facial angle expression lighting direction framing (portrait / half body / full body) Example: Head orientation: slight left tilt Expression: neutral friendly Lighting: soft frontal light Framing: head and shoulders portrait Agent Execution Flow Step 1 — Grounding Check Ensure the user has provided a reference image. Supported inputs: local image URL uploaded file Step 2 — Vision Analysis Extract scene attributes only. DO NOT describe: age ethnicity beard hair body type Identity must come directly from the image. Step 3 — Category Selection If the user does not specify a category suggest: LinkedIn Tinder OldMoney Step 4 — Prompt Construction Use the reference image as the identity source. Preserve the exact facial identity from the reference image. Identity must remain identical to the reference photo. Do not change: eye shape eye spacing nose structure jawline cheekbones face proportions Maintain similar head orientation as the reference. Scene example: Outdoor café portrait Soft natural daylight 35mm portrait lens Shallow depth of field Photorealistic skin texture Step 5 — Negative Prompt Always include: different person altered face changed facial features new identity generic face beautified face plastic skin face distortion Step 6 — Execution Example: bash scripts/generate-pack.sh --image "./my_face.jpg" --category "LinkedIn" --identity-lock true --num 5 Supported Categories Category Best For Aesthetic LinkedIn Professional Studio CEO Founders Office Tinder Dating Lifestyle OldMoney Luxury Estate Cyberpunk Fantasy Neon Fitness Gym Athletic Travel Social Bali/Paris 90s Retro Vintage Holiday Seasonal Festive Guardrails Fidelity First Identity preservation is always more important than style. Never Re-Describe the Person Avoid prompts like: "Indian man in his 20s with short hair" This causes the model to generate a new face. Identity must come from the reference image only. Recommended Models Best results with: nano-banana-edit Result This system produces: consistent identity photorealistic images multi-style photo packs professional outputs
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