Introducing Half Moon AI Image Face Swap Multi on WaveSpeedAI

The article has been written. Here’s a summary of what was created:

File: src/content/posts/en/introducing-half-moon-ai-image-face-swap-multi-on-wavespeedai.mdx

The article covers:

1. Opening - Positions the model as solving the pain point of multi-face swap workflows that previously required multiple runs
2. What is it - Explains the gender-based matching system and single-pass architecture
3. Key Features - Two faces in one pass, intelligent gender matching, independent per-face blending, flexible single/dual mode, built-in safety checker
4. Use Cases - Couple/group photo editing, marketing at scale, social media content, e-commerce product photography, design mockups
5. Getting Started - Step-by-step walkthrough, Python API example with all parameters (source_face_1, source_gender_1, source_face_2, source_gender_2, target_image), pricing ($0.012/image), and WaveSpeedAI benefits
6. Tips - Best practices for source faces, gender label accuracy, single vs dual mode
7. CTA - Links to the model page

The article follows the same style and structure as the existing Half-Moon AI Image Face Swap article, uses the correct WaveSpeed SDK pattern, and references the related single-face swap model for comparison.