Browse ModelsSkywork AISkywork AI Skyreels V3 Pro Multi Avatar

Skywork Ai Skyreels V3 Pro Multi Avatar

Skywork Ai Skyreels V3 Pro Multi Avatar

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SkyReels V3 Pro Multi Avatar is a high-quality AI talking avatar video generation model that creates multi-speaker avatar videos from one image, multiple audio tracks, and bounding boxes. Ready-to-use REST inference API for group avatar videos, digital humans, virtual presenters, dialogue scenes, education content, marketing creatives, and professional multi-avatar video workflows with simple integration, no coldstarts, and affordable pricing.

Features

Skywork AI SkyReels V3 Pro Multi Avatar

Skywork AI SkyReels V3 Pro Multi Avatar generates a two-speaker avatar video from a single first-frame image plus separate left and right audio tracks. It is designed for higher-quality multi-character speaking scenes, with stronger realism, smoother facial animation, and more polished lip-sync than the Standard variant.


Why Choose This?

  • Two-speaker avatar generation Animate two speakers from a single scene image with separate audio tracks for each side.

  • Higher-quality multi-avatar performance The Pro variant is built for stronger realism, cleaner lip-sync, and more polished facial animation.

  • Separate left and right speaker control Upload different audio clips for the left and right speakers to drive each character independently.

  • Prompt-guided scene behavior Add a prompt to guide mood, scene setup, speaking style, or camera feel.

  • Speaker detection control Use bboxes_type to control whether speaker detection is based on body or face.

  • Production-ready workflow Suitable for conversations, interviews, presenter scenes, and other multi-character speaking video workflows.


Parameters

ParameterRequiredDescription
promptYesText prompt describing the scene, action, camera, or avatar behavior.
first_frame_imageYesInput image used as the first frame and visual source for the two-speaker scene.
left_audioYesAudio for the speaker on the left side of the image.
right_audioYesAudio for the speaker on the right side of the image.
bboxes_typeNoBounding box target type for speaker detection. Supported values: body or face. Default: body.

How to Use

  1. Upload the first-frame image — provide the scene image containing the two speakers.
  2. Upload left speaker audio — add the audio for the person on the left side of the image.
  3. Upload right speaker audio — add the audio for the person on the right side of the image.
  4. Write your prompt — describe the speaking behavior, mood, scene setup, or camera style.
  5. Choose speaker detection type (optional) — use body or face depending on how you want the model to identify each speaker.
  6. Submit — run the model and download the generated video.

Example Prompt

Let the two speakers talk naturally in a professional office setting, with subtle head movement, realistic facial expressions, and stable identity for both people.


Pricing

Pricing is based on the combined duration of both audio tracks.

Billing Rules

  • Base price is $0.12 per second
  • Total billed duration = left audio duration + right audio duration
  • Total price = $0.12 × (left audio duration + right audio duration)
  • prompt, first_frame_image, and bboxes_type do not affect pricing

Example Costs

Left AudioRight AudioTotal Billed DurationCost
5s5s10s$1.20
8s6s14s$1.68
10s10s20s$2.40
12s15s27s$3.24

Best Use Cases

  • Two-person conversations — Create dialogue scenes with separate speaking control for each person.
  • Interview videos — Animate interviewer and guest from a single scene image.
  • Presenter pairs — Generate two-host explainer or announcement videos.
  • Character conversations — Build short dialogue clips for storytelling or social content.
  • Virtual spokesperson scenes — Create multi-speaker brand or business communication videos.

Pro Tips

  • Use a clear image where the left and right speakers are visually distinct.
  • Upload clean audio for both sides to improve lip-sync and speaking clarity.
  • Use face when facial positioning is more reliable than full-body placement.
  • Use body when the characters are farther from the camera or their full pose matters.
  • Keep the prompt simple and focused on speaking behavior, mood, or scene intent.
  • Make sure the left and right audio assignments match the actual positions of the people in the image.

Notes

  • prompt, first_frame_image, left_audio, and right_audio are required.
  • bboxes_type defaults to body.
  • Pricing depends on the sum of both audio durations.
  • This workflow is intended for two-speaker avatar video generation from a single scene image.

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/skywork-ai/skyreels-v3-pro/multi-avatar" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "bboxes_type": "body"
}'

# 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
promptstringYes-Text prompt describing the scene, action, camera, or avatar behavior.
first_frame_imagestringYes--Input image URL.
left_audiostringYes--Audio for the speaker on the left side of the image.
right_audiostringYes--Audio for the speaker on the right side of the image.
bboxes_typestringNobodybody, faceBounding box target type for speaker detection.

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.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.
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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