Kling Avatar V2
KwaiVGI · AI videoKling Avatar V2 (KwaiVGI) generates talking-head video from a portrait-style image and a speech audio clip: the model animates the face with lip sync and naturalistic expression while preserving the identity and framing of the source image. Optional text guidance can nudge performance style when the API exposes it.
Commercial hosts typically offer multiple quality or speed modes; exact enumerations and defaults vary by provider. Output duration generally tracks the length of the supplied audio—short clips are standard for social presenter and avatar use cases.
The model fits workflows where you already have a still avatar or scene plate and clean dialogue audio, and you need believable speech-driven motion without full 3D rigging.
Key features and benefits
Portrait image plus speech
You provide a clear portrait or talking-head frame and an audio track with dialogue. The model drives mouth shapes and facial motion to match the speech timing while keeping overall appearance consistent with the image.
Optional text guidance
Some implementations accept an optional text prompt to steer tone, energy, or subtle performance cues. Audio timing remains the primary driver for lip sync.
Talking-head focus
Kling Avatar V2 is optimized for presenter-style shots rather than full-body action or complex scene physics. It excels when the face is the focal point and the background is relatively stable.
Technical specifications
ProviderKwaiVGI (Kling Avatar)
Typical inputsPortrait image; speech audio file; optional text prompt
OutputVideo with lip-synced facial motion (duration follows audio on most APIs)
ModesProviders may list standard and higher-quality tiers; confirm on your host's schema
Use cases and applications
Virtual presenters, localized spokesperson clips, educational narrators, and social avatars where a single frame defines look and audio defines timing.
Rapid iteration when you have per-line dialogue audio and need matching facial performance without manual animation.
Why this model
Choose Kling Avatar V2 when your creative brief is talking-head delivery from a still image plus speech—not general open-world scene generation.
For broader scene motion, camera moves, or text-only video, compare full video generation models that target cinematic or physical simulation strengths.
What you should know
Does Kling Avatar need a portrait image?
Yes. The model is built around conditioning on a face-forward or presenter-style frame plus audio.
How long can clips be?
Length usually follows the audio file; providers may cap maximum duration or resolution—check their documentation.
Are there quality tiers?
Many APIs expose multiple modes trading fidelity for speed or cost. Select the tier that matches your delivery requirements.