Professional Headshot Director

The problem

Generating AI headshots often results in generic faces that lose the subject's actual likeness or look like low-quality CGI. Standard prompting fails to maintain consistency across different backgrounds, lighting setups, and wardrobe changes.

What it does

• Locks subject identity using Soul ID and specific identity descriptors to ensure a consistent, accurate likeness across all variations.
• Generates structured, production-ready prompts for clean corporate, environmental, editorial, and team roster headshots.
• Selects the optimal model for each specific task, including Soul 2.0 for styling, Nano Banana Pro for retouches, and GPT Image 2 for text overlays.
• Provides comprehensive negative prompt banks to eliminate waxy skin, anatomical distortions, and "AI-look" artifacts.
• Standardizes team headshots by locking shared backgrounds and lighting recipes while swapping individual identities.

Frameworks & tools

Optimized for Soul ID, Soul 2.0, Soul Cinema, Nano Banana Pro, and GPT Image 2.

Why this beats prompting it yourself

Manual prompting often struggles with "identity drift" where the face changes slightly between shots. This skill implements a rigorous identity-lock workflow and professional photography logic, ensuring results look like a high-end studio session rather than a filtered selfie.

Use cases

• Creating a consistent set of professional LinkedIn and website portraits from casual smartphone selfies.
• Standardizing a company team roster so every employee's photo matches in lighting and crop.
• Generating an actor's comp card with a range of different character moods and lighting setups.
• Updating professional wardrobe or backgrounds on existing photos without changing the person's face.

Known limitations

Requires 5 to 20 high-quality reference photos for accurate identity training. Not intended for government IDs, passports, or contexts requiring unedited photography.