The Basic Process
Photo in, voice and script in, video out
Choose a character (a generated persona or a photo, depending on the use case), input a script or audio, select a voice and language, and let the model render a video where the character lip-syncs and gestures naturally. For a typical 60-second clip, the whole workflow takes well under 15 minutes end to end.
That speed is exactly what makes a talking avatar practical for a consistent AI presenter or brand character: a full week of talking-head content is realistically a single afternoon's work once the character and voice are established once.
Photo Quality: What Actually Matters
Resolution, lighting, and angle, in that order
Use a high-resolution reference photo, at least 1920x1080, well-lit, with the subject looking straight at the camera. A single reference image can produce inconsistent results; multiple reference images (different angles, expressions) generally give a more robust base to animate from.
This matters more than any setting inside the generation tool itself. A soft, poorly lit, or angled source photo caps the ceiling on output quality no matter how the rest of the workflow is tuned.
Framing Requirements
Face size and format
The face should occupy slightly more than 50% of the frame for accurate lip-sync and gesture detection; a wide shot with the face as a small part of the frame degrades tracking accuracy noticeably. MP4 or WebM are the standard formats for video-based avatar workflows.
For a character generated specifically to become a talking avatar (rather than an existing photo repurposed for this), framing this tightly from the start, rather than cropping in afterward, produces a cleaner result.
Writing the Script
What makes a script animate well
Write for how the character actually speaks (see how to create a personality for an AI influencer for establishing that voice first), not generic narration. A script with natural pauses, varied sentence length, and no run-on clauses gives the model clearer places to breathe and gesture, which reads as more natural than a dense, uniform block of text.
Voice speed and tone are usually adjustable after the fact; get the content and pacing of the script right first, then tune delivery in a second pass rather than rewriting the script to fix a delivery problem.
Turn a Character Into a Talking Avatar
Generate a consistent AI character, then produce talking-head video content in minutes. Free to start.
Start Free TrialThe Iteration Loop
The first generation is a draft, not the final cut
Generate, review, adjust the script or voice speed, and regenerate until the avatar feels natural. Watching the full clip (not just the first few seconds) catches most issues: a pacing problem that reads fine at the start often surfaces at a longer sentence further into the script.
Two to three iterations is typical for a script of any real length; expecting the first generation to be publish-ready is the most common source of frustration with this workflow.
Common Mistakes
What produces an obviously artificial avatar
Using a low-resolution or poorly lit source photo. This caps output quality more than any other single factor; fix the source before generating.
Framing the face too small in the source image. Lip-sync and gesture detection both degrade when the face is a small part of the frame.
Publishing the first generation without review. Most talking avatars improve noticeably on a second pass after reviewing pacing and delivery.
Writing generic script copy instead of the character's own voice. A script that does not sound like the established persona breaks the illusion even when the lip-sync itself is technically accurate.