Lip Sync
Maps speech audio to mouth movements at the phoneme level, producing natural and believable lip articulation synchronized to the provided audio track.
Kling AI Avatar Standard is an audio-driven talking-head model developed by Kling that animates a single still portrait image into a synchronized speaking video. It accepts a portrait photo and an audio track as inputs, then generates a video with phoneme-aligned lip movements, natural eye blinks, and subtle head motion while preserving the subject's identity throughout. The model supports both real voice recordings and text-to-speech generated audio, and an optional text prompt can influence background style or framing. Output duration is variable and determined by the length of the provided audio, up to a maximum of 10 minutes. Kling AI Avatar Standard is designed for everyday production workflows where reliable, clean avatar video is needed at scale. Typical use cases include explainer videos, customer support avatars, internal training materials, and product demonstrations. For best results, the model expects a clear, front-facing portrait with even lighting and at least 512px resolution, paired with a clean voice recording sampled at 16–48 kHz. It is available via API through WaveSpeed and is accessible on MindStudio without requiring separate API key management.
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Kling AI Avatar Standard is an audio-driven talking-head model developed by Kling that animates a single still portrait image into a synchronized speaking video. It accepts a portrait photo and an audio track as inputs, then generates a video with phoneme-aligned lip movements, natural eye blinks, and subtle head motion while preserving the subject's identity throughout. The model supports both real voice recordings and text-to-speech generated audio, and an optional text prompt can influence background style or framing. Output duration is variable and determined by the length of the provided audio, up to a maximum of 10 minutes.
Kling AI Avatar Standard is designed for everyday production workflows where reliable, clean avatar video is needed at scale. Typical use cases include explainer videos, customer support avatars, internal training materials, and product demonstrations. For best results, the model expects a clear, front-facing portrait with even lighting and at least 512px resolution, paired with a clean voice recording sampled at 16–48 kHz. It is available via API through WaveSpeed and is accessible on MindStudio without requiring separate API key management.
Maps speech audio to mouth movements at the phoneme level, producing natural and believable lip articulation synchronized to the provided audio track.
Animates a single still portrait image into a talking-head video, adding natural eye blinks and subtle head motion while preserving the subject's identity.
Accepts a portrait image via URL as the visual source; recommended minimum resolution is 512px with a clear, front-facing composition and even lighting.
Accepts a voice recording or TTS-generated audio file via URL; optimal results use clean audio at 16–48 kHz without heavy reverb or background music.
An optional text prompt can be supplied to influence background style, mood, or framing of the generated video output.
Accepts a seed value as input, allowing reproducible outputs when the same portrait, audio, and prompt combination is used across multiple runs.
Output video duration is determined by the length of the provided audio track, supporting clips up to a maximum of 10 minutes.
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Places where this model is available, based on the synced detail-page metadata.
The configurable options currently documented for this model.
Image to be lip synced.
Audio to be lip synced.
Optional prompt to guide the lip sync.
The resolution of the output video.
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The model requires two primary inputs: a portrait image URL and an audio URL. A text prompt and a seed value are optional. The portrait should be a clear, front-facing image at 512px resolution or higher, and the audio should be a clean voice recording at 16–48 kHz.
Output duration is determined by the length of the provided audio track, up to a maximum of 10 minutes.
The model accepts real voice recordings or text-to-speech generated audio supplied via a URL. Clean audio at 16–48 kHz is recommended; heavy background music or reverb can reduce lip-sync accuracy.
The model has a context window of 50,000 tokens as listed in its metadata.
According to the metadata, the training date is listed as August 2025.
The model is available through the WaveSpeed API. Full API documentation is provided at the WaveSpeed docs page for this model. On MindStudio, no separate API key management is required.
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