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muapi-photo-pack-generator

Generate diverse photo packs from a single reference image while preserving facial identity.

4.0k|451|Updated May 25, 2023
Search Tags:#image editing#style transfer#photo generation#identity lock#professional photos#dating photos
One-click install
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-photo-pack-generator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: muapi-photo-pack-generator
Source: https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/photo-pack-generator
Command: npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-photo-pack-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires muapi-cli, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill allows users to generate a collection of diverse photos of a specific person from a single reference image, ensuring the person's identity remains consistent across all generated images.

Core Features & Use Cases

  • Identity Preservation: Guarantees the exact facial identity is maintained across all generated images.
  • Style Variety: Creates photo packs for various purposes like professional profiles (LinkedIn), dating apps (Tinder), or luxury aesthetics (OldMoney).
  • Vision-First Analysis: Analyzes the reference image for scene attributes without describing the person's identity.
  • Use Case: Generate a set of professional headshots for a LinkedIn profile, dating app photos, and a luxury lifestyle shoot, all using the same reference image of the individual.

Quick Start

Generate a pack of 5 LinkedIn-style photos using the reference image 'my_face.jpg'.

Frequently Asked Questions about muapi-photo-pack-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate professional photos from a single reference image while keeping the face consistent?▼

Yes, you can generate dating app photos by specifying aesthetic categories like Tinder styles. The skill utilizes vision-first scene analysis to construct appropriate prompts, ensuring your facial identity remains strictly preserved across all generated dating images.

How does identity lock work when generating diverse photo packs?▼

Identity lock works by preventing the re-description of facial features during image generation. Instead, it focuses solely on head orientation, expression, and lighting, which guarantees the subject's exact facial identity is maintained across all diverse photo outputs.

Do I need muapi-cli to generate high-fidelity photo packs?▼

The best way to create luxury lifestyle photos is by selecting the OldMoney aesthetic category. The skill applies vision-first scene analysis to build prompts that generate high-fidelity luxury images while strictly preserving your locked facial identity from the reference image.

Why does the photo generation focus on head orientation instead of describing my face?▼

The photo generation focuses on head orientation, expression, and lighting to ensure identity lock. Preventing the re-description of facial features stops the model from altering your unique identity, guaranteeing exact facial preservation across all generated outputs.

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