Video
AI Influencer Video Generator
Design, generate, and scale your own AI influencers on Martini. Pin a character reference in Nano Banana 2, clone the voice in ElevenLabs, animate with Kling Avatar and Vidu, and ship daily TikTok, Reels, and Shorts content from one canvas. The character holds. The voice holds. The pipeline reruns.
What this feature solves
Building an AI influencer is not a one-shot generation problem — it is a content production pipeline. The face has to stay identical across hundreds of posts, the voice has to sound the same in every clip, the lighting and wardrobe have to feel like one persona, and new content has to ship daily or the algorithm de-ranks the account. Most creators stitch together five or six tools per video — character generator, image edit, voice cloner, lip-sync, video model, editor — and the resulting workflow is too brittle to scale beyond a single test.
Identity drift is the silent killer. Run a face through different image and video models in different tabs and the cheekbones shift, the hair changes length, the voice gets a different accent, and the audience notices within three posts. Without a canvas that pins the character reference and feeds it into every downstream model — every voice take, every lip-sync, every scene — the influencer becomes a parade of slightly-different lookalikes and the brand never lands.
Then there is volume. UGC creators on TikTok ship multiple videos per day. Brand accounts running an influencer persona ship dozens per week. The economics only work if a single workflow can run on autopilot, swap the script and the scene, and produce a finished cut without rebuilding the chain. Tab-based tools cannot deliver that. The whole production has to live on one surface that re-runs.
Why Martini is different
Martini turns the AI influencer into a chained pipeline you build once and run forever. Pin the character in a Nano Banana 2 image node — the canonical face, wardrobe, and lighting reference. Wire it into Kling Avatar and Vidu for talking-head video, into ElevenLabs for the cloned voice, and into a sequence builder for the cut. Every node reads the same character reference, so the face, voice, and style stay locked across every post. Identity drift disappears because the source of truth never moves.
Multi-model chaining is the unlock for daily content. Different scene types want different models — Vidu for reference-locked indoor scenes, Kling Avatar for talking-head vlogs, Nano Banana 2 for new outfit and location stills that feed back into video. The canvas lets each shot pick its strongest engine while sharing the same character anchor. Voice work runs in parallel — ElevenLabs handles the persona's voice, fanned across every script, lip-synced into every video. One workflow, many videos, same persona.
The pipeline is saveable. Build the influencer canvas once — character ref, voice ref, video chain, sequence, export — and save it as a template. Daily content production becomes: open the template, drop in the day's script and scene direction, re-run, ship. UGC creators move from one video per day to ten. Brand accounts ship a week of content in an afternoon. That is what a real production canvas unlocks for AI influencer work.
Common use cases
Daily TikTok and Reels content for an AI persona
Open the saved canvas, drop in the day's script, and ship a vertical video with the locked character, voice, and brand look in under an hour.
YouTube Shorts series with consistent host
Run an episodic Shorts channel where the same AI host introduces, narrates, and signs off every video — identical face and voice across the series.
Branded UGC for product launches
Build a branded AI creator who reviews, demos, and recommends product drops — same persona, every campaign, no talent fees.
Multilingual influencer expansion
Fan one script into multiple ElevenLabs language voices, chain each into a localized lip-sync, and ship the same persona across global markets.
Character-driven content for newsletters and launches
Use the AI persona as a recurring host for product updates, newsletter intros, and launch videos — consistent face that audiences recognize.
A/B testing creative direction at character scale
Test different scenes, wardrobes, and scripts while keeping the persona locked, so the only variable is the creative — not the identity.
Recommended model stack
nano-banana-2
imageReference-locked image model for the canonical character — face, wardrobe, lighting.
kling-avatar
videoIndustry-leading lip-sync and talking-head video for the persona.
elevenlabs
audioVoice cloning for a consistent persona voice across every video.
vidu
videoReference-controlled video for scene shots that hold the character.
seedance-2
videoReference-strong scene shots when the persona needs to interact with products or environments.
omnihuman
videoFull-body talking-character video for vlog-style and walking-and-talking shots.
How the workflow works in Martini
- 1
1. Generate the canonical character
Use Nano Banana 2 to design the persona — face, wardrobe, signature look. Generate three to five reference angles and pick the strongest. This image becomes the reference anchor for every video downstream.
- 2
2. Clone the persona voice
Wire a 30-second reference recording into an ElevenLabs voice-clone node. The cloned voice ID becomes the persona's voice across every script. Save it.
- 3
3. Build the talking-head pipeline
Drop a script into a text node, wire it into ElevenLabs with the cloned voice ID, then chain into Kling Avatar with the character reference. Mouth shapes drive from audio, identity holds from the reference.
- 4
4. Add scene shots with reference video models
For non-talking shots — lifestyle, b-roll, product hold-ups — use Vidu or Seedance 2 with the same character reference so the persona stays consistent in non-dialogue moments.
- 5
5. Order the cut in a sequence builder
Assemble the talking-head, scene, and CTA shots into a vertical 9:16 sequence. Preview and adjust pacing before export.
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6. Save the canvas as a daily content template
Once the workflow ships a finished video, save the canvas. Tomorrow's content is a script swap and a re-run, not a rebuild.
Example workflow
A solo creator launches a beauty AI influencer for TikTok and Instagram Reels with a daily posting cadence. They generate the persona — early-twenties, signature red lipstick, soft warm lighting — in Nano Banana 2 and pick one reference image as the canonical face. They record 30 seconds of voice in their preferred timbre and clone it in ElevenLabs. They build the canvas: text script node, ElevenLabs voice node with the cloned ID, Kling Avatar lip-sync node with the persona reference, Vidu scene-shot node for product hold-ups, sequence builder, NLE export at 9:16. Daily production becomes thirty minutes — write the day's script, swap in the product image, re-run. Across thirty days the creator ships thirty videos with identical persona, identical voice, and a steadily growing follower count because the algorithm never sees a face change. The persona behaves like a real influencer because the pipeline holds her identity.
Tips and common mistakes
Tips
- Lock the character reference once and never re-generate it. Save the canonical image as the only source of truth across the canvas.
- Clone the voice from a clean recording. ElevenLabs voice quality is bounded by the source — use a good mic and 30 seconds of natural speech.
- Use Vidu or Seedance 2 for non-dialogue scene shots. Kling Avatar is built for talking heads, not lifestyle b-roll.
- Build a content calendar inside the canvas — duplicate the sequence node per upcoming post and pre-load scripts so a week of content runs in one batch.
- Match the persona voice to the visual brand. A polished editorial face with a casual TikTok voice creates dissonance the algorithm punishes.
Common mistakes
- Regenerating the character every session. The face will drift within a week and the audience will notice — pin the reference once.
- Mixing different voice models across videos. The audience identifies persona by voice almost as fast as by face — keep one cloned voice.
- Using a single model for every shot type. Talking heads, lifestyle b-roll, and product reviews each have a strongest model — chain them.
- Skipping the save-as-template step. Daily content production cannot work if every video is a rebuild.
- Cloning a voice that does not legally clear for the use case. Persona voices used commercially need consent — Martini supports the workflow but the policy is on you.
Related how-to guides
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AI Voiceover Generator — Narration That Plugs Into Video Workflows
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AI Avatar Video Generator — Talking Avatars from Image and Audio
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AI Image to Video — Animate Stills Into Production-Ready Shots
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AI Talking Head Video — Spokesperson, Course, and Narration
Produce spokesperson, course, and narration videos on Martini's canvas — Kling Avatar, OmniHuman, ElevenLabs, Fish Audio, locked identity end to end.
AI Video Reference Images — Preserve Subject and Style
Lock subject, character, and style across every video generation on Martini's canvas — Vidu, Kling O3, Seedance 2, Nano Banana 2 reference workflows.
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Related docs
Related reading
Comparisons
Frequently asked questions
How do I keep the AI influencer's face the same across videos?
Pin one canonical reference image in a Nano Banana 2 node and feed it into every downstream video and image node. The reference travels with the workflow, so Kling Avatar, Vidu, and Seedance 2 all read the same anchor — face, hair, and wardrobe stay locked across every post.
Can I clone a real person's voice for the persona?
Yes — ElevenLabs supports voice cloning from a 30-second reference recording. Use it with the consent of the person whose voice you are cloning. For purely synthetic personas, design a voice in ElevenLabs voice design and reuse the voice ID across every video.
How fast can I ship a finished influencer video?
Once the canvas is built and saved as a template, daily content takes 20-40 minutes — write the script, drop in any new scene reference, re-run. The first canvas takes a couple hours to set up; the hundredth video takes minutes.
Can I scale the persona to multiple languages?
Yes. Fan the script into multiple ElevenLabs voices — one per language — and chain each into its own Kling Avatar lip-sync node with the same character reference. The same persona ships in five languages from one canvas, with consistent identity across all of them.
Will the videos look real enough for TikTok and Reels?
Kling Avatar 2.0 is the current best-in-class for lip-synced talking-head video and ships at 1080p. For non-dialogue lifestyle shots, Vidu and Seedance 2 produce realistic motion with strong reference fidelity. The combination is what most successful AI personas on TikTok and Reels use today.
How do I handle product placements without breaking the character?
Generate the product hold-up shot in Vidu or Seedance 2 with both the character reference and the product image as inputs. The reference keeps the persona stable while the product stays accurate — no character drift just because you swapped what is in her hand.
Build it on the canvas
Open Martini and wire this workflow up in minutes. Free to start — no card required.