Complete guide to using AI Avatar Generator — Create Talking Digital Human Videos
Turn portraits or character images into talking digital humans, sync lips to uploaded audio, and generate preview-ready avatar videos with Kling Avatar 2.0.
Use PoYo to test Standard and Pro variants, preview generated MP4 videos, download outputs, and move approved image, audio, and prompt settings into your API workflow.
Turn images and uploaded voice tracks into talking digital human videos with lip sync, presenter motion, localization, and consent-aware handoff.
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Start with a face, presenter, or stylized character image and an audio file. The generator turns those inputs into an avatar video where the subject speaks with the uploaded voice track.
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Create videos with synchronized mouth shapes, subtle head movement, eye contact, and facial expression. Use prompts to guide framing, gestures, and presenter behavior when the selected variant supports it.
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Use different driving audio tracks to create localized presenter drafts for marketing, training, product explainers, and support videos. Review every language version before publishing.
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Work with images, voices, and likenesses you have the right to use. Preview the generated video, download the MP4, copy the URL or prompt, and move approved settings into your API workflow.
Create short presenter clips, product walkthroughs, founder messages, and UGC-style spokesperson videos from an image and voice track.
Turn course scripts, onboarding voiceovers, and internal training audio into presenter-led videos.
Pair localized voice tracks with the same presenter image to prototype regional ads, tutorials, and announcements.
Create virtual hosts for support explainers, assistant demos, help center videos, and guided product flows.
Generate social-ready avatar videos for creator posts, short ads, campaign variants, and rapid content tests.
Validate avatar prompts, image/audio inputs, video previews, and response URLs before integrating avatar generation into products.
1. Choose Standard or Pro. Use the model selector in the Input panel to pick the Kling Avatar 2.0 variant for your clip.
2. Add an avatar image. Upload or provide a clear portrait, presenter, or character image with the face visible.
3. Add the driving audio. Upload the voice track that the avatar should speak, then write an optional prompt for framing, expression, gesture, and scene behavior.
4. Generate and preview. Run the job, review the video in Output, download the MP4, and reuse the tested parameters in your API workflow.
PoYo Avatar Generator creates talking avatar videos from a reference image and a driving audio file. It is designed for presenter videos, virtual hosts, product explainers, training clips, and localized avatar drafts.
This page is for talking avatar video generation, not static profile icons, cartoon avatar makers, headshot tools, or avatar asset libraries.
You need a clear avatar image and an audio file. A prompt is optional but useful when you want to describe framing, expression, gesture, scene, or presenter behavior.
Choose Standard for direct talking avatar clips and faster experiments. Choose Pro when you need richer presenter direction, more expressive motion, or a more polished avatar video draft.
Lip-sync quality depends on the avatar image, face visibility, audio clarity, language, pacing, and selected model. Use clean speech, avoid noisy audio, and review output before publishing.
Only use images, voices, and likenesses that you have the right and consent to use. Do not create misleading, impersonation, or unauthorized celebrity/personality content.
The consumer gallery previews generated avatar videos in the browser and supports downloading the returned video file, typically MP4 depending on the provider response.
Runtime and credits vary by model variant, input media, duration, and provider processing. The Input footer shows the current cost. Commercial use depends on the selected provider terms and your rights to the image, voice, script, and likeness.
Use a dedicated talking avatar page instead of searching through every video model.
Preview generated avatar videos directly in the Output gallery and open them in the full preview dialog.
Keep the image, audio, prompt, Standard, and Pro controls attached to the avatar model.
Test avatar inputs visually before moving the same workflow into an API-backed product.
