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Skyreels V3 Talking Avatar

Skyreels V3 Talking Avatar

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SkyReels V3 Talking Avatar is a 19B-parameter multimodal model that generates talking avatars from portrait and audio with precise lip sync, supporting up to 20 seconds at 720p resolution. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

SkyReels V3 Talking Avatar

SkyReels V3 Talking Avatar generates realistic talking head videos by combining a portrait image with audio. Upload a face image and audio clip — the model creates a lip-synced video with natural facial movements and expressions that match the speech.


Why Choose This?

  • Realistic lip-sync Generates accurate lip movements synchronized to the audio input.

  • Natural expressions Creates realistic facial movements and expressions during speech.

  • Flexible duration Support for audio clips up to 20 seconds.

  • Resolution options Choose between standard and 720p output quality.

  • Simple workflow Just upload an image and audio — no complex setup required.

  • Prompt Enhancer Optional prompt to guide the generation style.


Parameters

ParameterRequiredDescription
imageYesPortrait image for the avatar (URL or upload)
audioYesAudio clip for lip-sync (URL or upload, max: 20s)
promptNoOptional text to guide generation style
resolutionNoOutput resolution: 720p (default) or lower
seedNoRandom seed for reproducibility (-1 for random)

How to Use

  1. Upload your image — provide a clear portrait image with visible face.
  2. Upload your audio — add the audio clip you want the avatar to speak (up to 20 seconds).
  3. Add prompt (optional) — describe any specific style or expression preferences.
  4. Select resolution — choose 720p for higher quality or lower for faster processing.
  5. Run — submit and download your talking avatar video.

Pricing

Duration720pStandard
≤5 s$0.30$0.15
10 s$0.60$0.30
15 s$0.90$0.45
20 s$1.20$0.60

Billing Rules

  • Minimum charge: 5 seconds
  • Maximum duration: 20 seconds
  • 720p rate: 2× standard rate
  • Standard rate: $0.15 per 5 seconds

Best Use Cases

  • Digital Presenters — Create talking avatars for video presentations and tutorials.
  • Social Media Content — Generate engaging talking head videos for TikTok, Reels, and Shorts.
  • Marketing & Ads — Produce spokesperson videos without filming.
  • E-learning — Create instructor avatars for educational content.
  • Localization — Generate lip-synced videos in different languages from the same avatar.

Pro Tips

  • Use clear, front-facing portrait images with good lighting for best results.
  • Ensure the face is clearly visible and not obscured by hair or accessories.
  • Use high-quality audio with clear speech for accurate lip-sync.
  • Keep audio clips within 15 seconds for optimal results.
  • Set a specific seed for reproducible results across multiple generations.

Notes

  • Both image and audio are required fields.
  • Maximum audio duration: 20 seconds.
  • Minimum charge: 5 seconds (shorter clips billed as 5 seconds).
  • 720p resolution costs 2× the standard rate.
  • Ensure uploaded file URLs are publicly accessible.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/skyreels-v3/talking-avatar" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "resolution": "720p",
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringNo-Text description of the avatar behavior, emotion, and camera style (e.g., 'confident and joyful, static shot')
imagestringYes-Portrait image for avatar generation (supports jpg, png, gif, bmp)
audiostringYes--Audio file to drive the talking avatar with lip sync (supports mp3, wav, up to 15 seconds)
resolutionstringNo720p480p, 720pOutput video resolution (480p or 720p)
seedintegerNo-1-1 ~ 2147483647Random seed for reproducible generation

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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