Create an AI influencer
Build a polished, consistent AI influencer presence from your own photos: style one selfie into an endless on-brand set, then animate it and give it a voice — start to finish in Sunra.
An AI influencer is a polished, consistent online persona — the same recognizable face across every post, styled and produced with AI. The realistic way to build one in Sunra is to start from your own photos and let AI handle the styling, the "shoot", and the motion, so you can post an endless, on-brand feed without a studio. The whole game is consistency: every post has to read as the same person.
Step 1 — Start with a strong base photo
Everything keys off one face, so begin with a clean, front-facing photo of yourself: even lighting, face fully visible, no sunglasses or heavy shadows. Every look you generate keys off that photo and preserves the face — so the sharper the source, the more consistent your whole feed.
Step 2 — Generate a consistent set
Open the image generator and drop your base photo in as a reference, then describe the look you want — street, editorial, Y2K, cinematic. Nano Banana Pro is the strongest pick here: it restyles the outfit, hair, and scene while holding the same face, so one upload turns into dozens of coordinated, on-brand portraits. See Prompting for images.
Step 3 — Bring the persona to life
Turn the best stills into clips. Drop a portrait into the Start frame of the video generator for a moving shot, or make the persona speak: generate a voiceover, then drive a talking-avatar lip-sync so the mouth matches the words. Kling 3.0 is strong on lip-sync and dialogue. See the Image-to-video guide.
She looks into the camera and says hello with a warm smile, relaxed and natural, slight head movement. Vertical 9:16, 5 seconds.
Step 4 — Give it a voice and post
Pick one voice and keep it consistent — the voice is part of the identity. Assemble multi-shot pieces in Flow, add a music bed, and export 9:16 for Reels / TikTok.
Common fixes
| Problem | Try this |
|---|---|
| The face changes between looks | Use a sharper, front-lit base photo — a model can't hold a face it can't read clearly |
| Looks feel repetitive | Vary the styling words — setting, wardrobe, light — instead of re-running the same prompt |
| A styling prompt distorts the face | Swap to a cleaner base photo before rewording; source quality fixes more than prompt choice |
| The voice varies post to post | Lock one voice and reuse it every time — the voice is part of the identity |
| Lip-sync looks off | Use a clear front-facing portrait and a lip-sync-strong model like Kling 3.0 |
| "Photos of real people aren't supported" | A video model's privacy filter — switch to Kling 3.0 or Veo 3.1 to animate a real face |
Keep it consistent over time
- Always start from the same base face, so every look reads as one person.
- Reuse the same voice and the same handful of styling keywords that define your aesthetic.
- Save your best looks as references, so a new post is always one generation away.
Related articles
- Talking avatars & lip-syncMake a character speak on Sunra: how lip-sync drives a face from an audio track with Kling 3.0, where the voice comes from, a worked example, source tips, and pairing with dubbing.
- Image-to-video guideAnimate a still you already have: pick a strong source image, use Start and End frames, write motion (not a scene), and choose the best model for image-to-video on Sunra.
- Prompting for imagesA practical method for AI image prompts on Sunra: a reliable structure, weak-to-strong rewrites, the style and lighting vocabulary models understand, references, and fixes.