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FaceMint Guides

Creative portraits, used with care.

Original, practical guidance for designers, storytellers and creators working with fictional AI-generated adults.

2026 guide

Synthetic Portraits in 2026

What creators should know about transparency, quality, identity and responsible publication.

Creative workflow

Build a Fictional Character Portrait

A repeatable method for turning a character idea into a useful visual reference.

Safety checklist

Before You Publish an AI Portrait

Seven checks that reduce confusion, impersonation risk and misleading presentation.

Why FaceMint publishes these guides

Synthetic portraits can make character development, interface design and early creative work faster, but a realistic image also needs thoughtful context. This library focuses on the decisions that happen before and after generation: defining a genuinely fictional character, choosing a visual direction, checking quality, adding a clear disclosure and publishing without suggesting a false identity or endorsement.

Each guide is written for practical use. Designers can adapt the character workflow to mockups and storyboards. Publishers can use the seven-point review before placing an AI portrait beside names, quotations or claims. Creators who want a wider overview can begin with the 2026 guide to synthetic portraits and then follow the linked checks.

What responsible portrait creation looks like

A strong result serves a clear creative purpose and remains honest at a glance. It should not intentionally copy a real person, public figure or celebrity. The surrounding words should never turn a fictional face into a fake customer, employee, expert or witness. When viewers could reasonably misunderstand the person as real, a nearby label such as “AI-generated fictional portrait” provides essential context.

FaceMint generates fictional adults and encourages human review before publication. AI output can contain artifacts or coincidental similarities, so inspect every image at full size and inside its final layout. If an image depends on deception to work, do not publish it. New guides will build on these principles with focused examples for creative teams.