
Muapi Photo Pack Generator
Takes a single reference photo and generates a themed pack of images while keeping the person's face consistent across all outputs. The core trick here is "identity lock prompting" instead of describing facial features, which helps the model stick to the original face rather than hallucinating a new one. You'd use this for generating LinkedIn headshots, dating profile pics, or creative portrait variations without the usual AI drift where every generation looks like a different person. It's already seeing decent traction with 524 installs and passed most security audits, though Snyk flagged a warning. If you've ever tried to get consistent faces from image models, you know this is solving a real pain point.
- skills.sh installs
- 917
- GitHub stars
- 4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add samuraigpt/generative-media-skills --skill muapi-photo-pack-generator --agent claude-codeInstalls into .claude/skills of the current project.
Files
📸 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).
Sponsors
Details
- Repository
- github.com/samuraigpt/generative-media-skills
- Categories
- Automation & Workflows, Design & UI/UX
- First seen
- Jun 3, 2026
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