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KynFace™ by Kynara

Your trained identity for more consistent Digital Twin Talking Videos.

KynFace is Kynara’s trained identity system, built from 20 guided smartphone photos. It is designed to improve how consistently recognizable visual cues—your face, body shape, proportions and overall appearance—are represented when your Digital Twin moves and speaks.

How KynFace strengthens the identity reference used for video

KynFace is built once from your guided photo set and then used as a stronger reusable identity reference. Its purpose is to give the image-and-video workflow better information about how you actually look without promising perfect replication.

Step 1

20 guided photos

Kynara guides the angles, framing and body views using a smartphone.

Step 2

Your KynFace identity

The photo set is used to build a reusable trained identity profile for you.

Step 3

A stronger image reference

Your Digital Twin Image can carry more consistent cues about your recognizable appearance.

Step 4

More consistent video

That stronger reference is designed to help identity remain more recognizable as the Digital Twin moves and speaks.

Start with one photo

You do not need KynFace to begin. Kynara can create your first Digital Twin Image from one clear photo, and that image can be used as the starting point for a Digital Twin Talking Video.

Build KynFace with 20 guided photos

KynFace is a paid identity upgrade. Kynara guides you through 20 specific smartphone photos covering the angles, framing and body views used to build a stronger reusable identity profile.

For your 20 guided photos, you need only a smartphone and two people

One person is photographed and one person takes the pictures. No studio or professional camera is required. Kynara explains every photo step so the set is consistent, useful and easy to complete.

Its strongest benefit appears in video

A single image only has to look right in one frame. Video is harder: the person moves, speaks and appears from changing angles. KynFace provides a stronger trained identity reference designed to help the person remain more recognizable throughout that process.

Face, body shape and overall appearance

The guided photo set is designed to capture more than a close-up portrait. It provides visual information about the person’s face, hair, silhouette, body shape and proportions so the resulting Digital Twin has a stronger reference for their recognizable appearance.

Images can benefit too

KynFace is also designed to improve likeness, repeatability and difficult viewpoints in Digital Twin Images. That is an additional benefit. Its primary purpose is stronger identity consistency in Digital Twin Talking Videos.

Designed for your own identity

KynFace is built around the person’s own likeness and Kynara’s identity controls. It is not a generic stock avatar and it is not intended for creating a trained identity of another person without authorization.

Improvement, not an absolute guarantee

KynFace is designed to improve identity consistency. It does not promise perfect replication in every frame. Results can still vary with the source images, scene, motion, clothing, lighting and video generation process.

KynFace FAQ

What is KynFace?

KynFace is Kynara’s trained identity system, built from 20 guided smartphone photos and designed to improve consistency across Digital Twin content—especially Digital Twin Talking Videos.

Do I need KynFace to create a Digital Twin Image?

No. You can start with one photo. KynFace can improve image likeness and repeatability, but it is not required for your first Digital Twin Image.

Why is KynFace most important for video?

Video has to maintain a recognizable identity across movement, speech and changing frames. KynFace provides a stronger trained identity reference for that more difficult task.

What do I need for the 20 photos?

You need a smartphone, the person whose Digital Twin is being built and one person to take the pictures. Kynara guides each required photo step by step.

Does KynFace guarantee perfect results?

No. KynFace is designed to improve consistency and recognizability. It does not guarantee exact or flawless replication in every image or video frame.