To resolve distorted faces in AI-generated family photos by fine-tuning the model on high-quality facial datasets, implementing face-aware post-processing, using diffusion-based inpainting, and leveraging facial landmark correction.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Uses Diffusion-Based Inpainting: Corrects facial distortions selectively.
- Applies a Mask for Targeted Fixing: Only refines distorted areas.
- Leverages a Pretrained Face-Optimized Model: Enhances facial realism.
- Text-Prompt Customization: Allows control over facial details.
- Supports High-Quality Face Reconstruction: Avoids AI-generated artifacts.
Hence, improving facial accuracy in AI-generated family photos requires targeted inpainting, fine-tuning with high-quality face datasets, and post-processing enhancements to ensure natural, distortion-free results.