A few tips from working with agencies who've deployed these identities at scale:

Consistency is everything

Each dataset is built for 100% face consistency across every asset. When you're posting across platforms, use images from the same pack — never mix identities. Algorithms cross-reference faces and mixing kills authenticity.

Use the videos for Stories and Reels first

The short video clips are optimized for vertical formats. They perform best as Stories, Reels, and TikToks because the iPhone aesthetic matches what platforms expect from native content. Start there before static posts.

Don't over-edit

These datasets are built with raw, amateur aesthetics for a reason. Adding heavy filters, color grading, or retouching defeats the purpose. Light cropping and basic adjustments only — keep it looking natural.

Rotate content strategically

Each pack has enough variety to run 30+ days of unique content without repeating. Map out your posting schedule before you start — burning through assets randomly shortens the lifespan of the identity.

Custom requests are open

If you need a specific look, setting, ethnicity, age range, or content type — DM me. I build custom packs to spec for agencies running at volume.

New drops are coming weekly. Stay locked in.

Every agency running AI models hits the same wall: the faces look too perfect.

Symmetrical lighting, flawless skin, that weird AI "glow" — platforms and audiences have developed AI-blindness. They can spot synthetic faces in under 2 seconds.

The problem isn't the generation tech. It's the aesthetic.

Real iPhone selfies have:

• Slightly blown-out highlights from bathroom mirrors

• Uneven skin texture and shadows

• Micro-blur from hand shake

• Background clutter that screams "this is someone's actual apartment"

When you train on or generate from studio-quality reference data, you get studio-quality output. And studio quality = instant flag for anyone who's been online long enough.

The fix is building your identity datasets from the ground up with raw, amateur aesthetics baked in — not applied as a filter after the fact.

That's what we do at Identity Vault. Every dataset is face-consistent across 100+ assets, and every single one looks like it was shot on a cracked iPhone 13 at 11pm.

If you're running an agency or monetizing traffic and you're tired of your content getting clocked, check our product page.