SkyReels V3 Standard Multi Avatar is a fast 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.
Idle
$0.08per run·~12 / $1
Let the people speak.
Skywork AI SkyReels V3 Standard 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 dialogue scenes, interviews, presenter pairs, and other multi-character speaking workflows where each speaker is driven by their own audio input.
Two-speaker avatar generation Animate two speakers from a single scene image with separate audio tracks for each side.
Independent left/right audio control Upload different audio clips for the left and right speakers to drive each character separately.
Prompt-guided scene behavior Use a text prompt to guide mood, speaking style, scene setup, or camera feel.
Speaker detection control
Choose whether speaker detection is based on body or face.
Simple workflow Upload one image, upload two audio clips, write a prompt, and generate the final conversation video.
Production-ready API Suitable for conversations, interviews, presenter scenes, and short-form multi-character avatar content.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text prompt describing the scene, action, camera, or avatar behavior. |
| first_frame_image | Yes | Input image used as the first frame and visual source for the two-speaker scene. |
| left_audio | Yes | Audio for the speaker on the left side of the image. |
| right_audio | Yes | Audio for the speaker on the right side of the image. |
| bboxes_type | No | Bounding box target type for speaker detection. Supported values: body or face. Default: body. |
body or face depending on how you want the model to identify each speaker.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 is based on the combined duration of both audio tracks.
prompt, first_frame_image, and bboxes_type do not affect pricing| Left Audio | Right Audio | Total Billed Duration | Cost |
|---|---|---|---|
| 5s | 5s | 10s | $0.80 |
| 8s | 6s | 14s | $1.12 |
| 10s | 10s | 20s | $1.60 |
| 12s | 15s | 27s | $2.16 |
face when facial positioning is more reliable than full-body placement.body when the characters are farther from the camera or their full pose matters.prompt, first_frame_image, left_audio, and right_audio are required.bboxes_type defaults to body.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v3-standard/multi-avatar with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Skyreels v3 Standard Multi Avatar below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"first_frame_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"left_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"right_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"bboxes_type": "body"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v3-standard/multi-avatar" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v3-standard/multi-avatar";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"first_frame_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"left_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"right_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"bboxes_type": "body"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"first_frame_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"left_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"right_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"bboxes_type": "body"
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/skywork-ai/skyreels-v3-standard/multi-avatar", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Skyreels v3 Standard Multi Avatar is a Skywork Ai model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. SkyReels V3 Standard Multi Avatar is a fast 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/skywork-ai/skywork-ai-skyreels-v3-standard-multi-avatar.
Skyreels v3 Standard Multi Avatar starts at $0.080 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `bboxes_type`, `first_frame_image`, `left_audio`, `right_audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/skywork-ai/skywork-ai-skyreels-v3-standard-multi-avatar.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (Skywork Ai). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.