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Infinitetalk Fast Video to Video Multi

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InfiniteTalk fast video-to-video multi converts a video and two audio inputs into multi-character talking or singing videos. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

digital-human
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$0.075por ejecución·~13 / $1

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README

InfiniteTalk Fast Video-to-Video Multi

InfiniteTalk Fast Video-to-Video Multi is the speed-optimized version of InfiniteTalk, creating lip-synced videos for multiple characters at half the cost. Upload a video with two characters and their audio tracks — the model generates accurate lip synchronization with fast processing, perfect for high-volume content production.

Why Choose This?

  • Fastest processing Speed-optimized for quick turnaround on multi-character lip sync projects.

  • Half the cost 50% cheaper than the standard version — ideal for high-volume production.

  • Multi-character lip sync Synchronizes lip motion precisely with audio for two characters simultaneously.

  • Flexible speaking order Choose meanwhile (simultaneous), left_right, or right_left speaking patterns.

  • Full-body coherence Captures head movements, facial expressions, and posture changes beyond the lips.

  • Long-form support Process videos up to 10 minutes in length.

Parameters

ParameterRequiredDescription
videoYesSource video with two visible characters
left_audioYesAudio track for the left character
right_audioYesAudio track for the right character
promptNoText prompt to guide scene or behavior
orderNoSpeaking order: meanwhile, left_right, or right_left
seedNoRandom seed for reproducibility (-1 for random)

How to Use

  1. Upload your video — provide a video clearly showing two people.
  2. Upload left audio — add audio file for the left character.
  3. Upload right audio — add audio file for the right character.
  4. Write prompt (optional) — guide scene, pose, or behavior.
  5. Select speaking order — choose meanwhile, left_right, or right_left.
  6. Run — submit and download your lip-synced video.

Pricing

DurationCost
5 s (min)$0.075
10 s$0.15
30 s$0.45
60 s$0.90
600 s (max)$9.00

Billing Rules

  • Rate: $0.015 per second ($0.075 per 5 seconds)
  • Minimum charge: 5 seconds ($0.075)
  • Maximum duration: 600 seconds (10 minutes)
  • Duration calculation:
  • Sequential (left_right / right_left): left_audio + right_audio
  • Simultaneous (meanwhile): max(left_audio, right_audio)

Best Use Cases

  • High-Volume Production — Cost-effective lip sync for large content libraries.
  • Dialogue Scenes — Create realistic conversations between two characters.
  • Social Media Content — Quick turnaround for multi-character videos.
  • Podcast Visuals — Add visual elements to two-person podcast recordings.
  • Rapid Prototyping — Test concepts before using the standard version.

Pro Tips

  • Use Fast version for iteration and testing, standard version for final quality.
  • Ensure both characters are clearly visible in the source video.
  • Use "meanwhile" for overlapping dialogue or simultaneous speech.
  • Use "left_right" or "right_left" for sequential conversation flow.
  • Mask only the regions you want to animate — full image masks result in black output.

Notes

  • Maximum video length: 10 minutes (600 seconds).
  • Processing time: faster than standard version.
  • Mask safety: Do not upload the full image as mask — only cover animatable regions.
  • Ensure uploaded file URLs are publicly accessible.

Related Models

Reference

Nota:Este sitio web utiliza modelos de IA proporcionados por terceros.

Infinitetalk Fast Video To Video Multi API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/infinitetalk-fast/video-to-video-multi 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 Infinitetalk Fast Video To Video Multi below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "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",
    "order": "meanwhile",
    "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/infinitetalk-fast/video-to-video-multi" \
  -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
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/infinitetalk-fast/video-to-video-multi";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "left_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
        "right_audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
        "order": "meanwhile",
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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));
}
Python example
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 = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "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",
    "order": "meanwhile",
    "seed": -1
}

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/wavespeed-ai/infinitetalk-fast/video-to-video-multi", 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)

Infinitetalk Fast Video To Video Multi API — Frequently asked questions

What is the Infinitetalk Fast Video To Video Multi API?

Infinitetalk Fast Video To Video Multi is a WaveSpeedAI model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. InfiniteTalk fast video-to-video multi converts a video and two audio inputs into multi-character talking or singing videos. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Infinitetalk Fast Video To Video Multi API?

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/wavespeed-ai/infinitetalk-fast-video-to-video-multi.

How much does Infinitetalk Fast Video To Video Multi cost per run?

Infinitetalk Fast Video To Video Multi starts at $0.075 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.

What inputs does Infinitetalk Fast Video To Video Multi accept?

Key inputs: `prompt`, `video`, `seed`, `left_audio`, `order`, `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/wavespeed-ai/infinitetalk-fast-video-to-video-multi.

How long does Infinitetalk Fast Video To Video Multi take to generate?

Median end-to-end generation time on WaveSpeedAI is around 56 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Infinitetalk Fast Video To Video Multi outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Infinitetalk Fast Video to Video Multi | AI Digital Human API | WaveSpeedAI