brunocampos01/ai/recreate-thumbnails

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Face-swap YouTube thumbnails to feature Your Name using AI. Use when user asks to recreate thumbnails, face swap images, generate YouTube thumbnails, or create thumbnail variations.

Install

npx vskill@latest install brunocampos01/ai/recreate-thumbnails

SKILL.md

The same SKILL.md was published earlier as mhassan0000/skills/recreate-thumbnails.

Recreate YouTube Thumbnails

Goal

Face-swap YouTube thumbnails to feature Your Name using Gemini image model. The system analyzes face direction, matches reference photos by pose, and generates variations.

Scripts

  • ./scripts/recreate_thumbnails.py - Main generation script
  • ./scripts/analyze_face_directions.py - Reference photo analyzer

Quick Start

bash
# From YouTube video (auto-downloads thumbnail)
python3 ./scripts/recreate_thumbnails.py --youtube "https://youtube.com/watch?v=VIDEO_ID"
 
# From local thumbnail
python3 ./scripts/recreate_thumbnails.py --source ".tmp/thumbnails/source.jpg"
 
# Edit pass on generated thumbnail
python3 ./scripts/recreate_thumbnails.py --edit ".tmp/thumbnails/recreated_v3.png" \
  --prompt "Change colors to teal. Change 'AI GOLD RUSH' to 'AGENTIC FLOWS'."

Full Workflow

Step 1: Build Reference Photo Bank (One-time)
bash
# Drop 30-40 photos of Nick into raw folder
mkdir -p .tmp/reference_photos/raw
 
# Analyze and rename with face direction metadata
python3 ./scripts/analyze_face_directions.py

Creates files like:

  • nick_yawL30_pitchU10.jpg — looking 30° left, 10° up
  • nick_yawR45_pitch0.jpg — looking 45° right, level
Step 2: Generate Thumbnails
bash
# From YouTube URL (analyzes face, finds best reference, generates 3 variations)
python3 ./scripts/recreate_thumbnails.py --youtube "VIDEO_URL"
 
# Custom variation count
python3 ./scripts/recreate_thumbnails.py --source "thumbnail.jpg" -n 5
 
# Skip direction matching
python3 ./scripts/recreate_thumbnails.py --source "thumbnail.jpg" --no-match
Step 3: Edit & Refine
bash
# Single edit
python3 ./scripts/recreate_thumbnails.py --edit ".tmp/thumbnails/recreated_v3.png" \
  --prompt "Change colors to teal brand colors."
 
# Chain multiple edits
python3 ./scripts/recreate_thumbnails.py --edit ".tmp/thumbnails/edited_1.png" \
  --prompt "Make text bigger. Change background to white."

CLI Reference

FlagDescription
--youtube, -yYouTube video URL
--source, -sSource thumbnail path or URL
--edit, -eImage to edit (enables edit mode)
--prompt, -pEdit instructions (required for edit mode)
--variations, -nNumber of variations (default: 3)
--refsNumber of reference photos (default: 2)
--no-matchSkip face direction matching

Output Organization

.tmp/thumbnails/
├── 20251205/              # Date folder
│   ├── 104016_1.png       # Variation 1
│   ├── 104016_2.png       # Variation 2
│   ├── 104016_3.png       # Variation 3
│   └── 104532_edited.png  # Edit pass

API Details

  • Model: gemini-3-pro-image-preview (Nano Banana Pro)
  • Cost: ~$0.14-0.24 per generation/edit
  • Latency: 10-60+ seconds per image
  • Output: ~1376x768 (close to 16:9)

Learnings

  • 2 reference photos is optimal (1 loses likeness, 3+ causes regeneration)
  • Must explicitly request 16:9 format in prompt
  • Label images in prompt: "IMAGE 1: Reference, IMAGE 2: Thumbnail"
  • "100% exact duplicate except face" instruction works well
  • Edit passes work for text, colors, graphs, backgrounds

Environment

NANO_BANANA_API_KEY=your_key

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Source

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