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PixVerse Motion Control Mimic API

pixverse/

PixVerse Motion Control Mimic is a fast AI motion transfer model that transfers motion from a reference video onto a target image to create natural character animation from a still image and motion clip. Ready-to-use REST inference API for character animation, pose transfer, reference motion videos, social media clips, advertising creatives, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.

motion-control
Input

Idle

$0.09per run·~11 / $1

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README

PixVerse Motion Control Mimic

PixVerse Motion Control Mimic transfers motion from a reference video onto a target image to generate an animated result. Upload a character or object image, provide a motion reference video, choose an output quality tier, and generate a video that follows the motion pattern of the source clip.

Why Choose This?

  • Motion transfer from video Use a real motion clip to drive the movement of a static character or subject image.

  • Simple two-input workflow Just provide one image and one motion reference video.

  • Multiple quality tiers Choose 360p, 540p, or 720p depending on your quality and budget needs.

  • Useful for stylized animation Great for turning character art, avatars, or stylized figures into motion-driven clips.

  • Production-ready API Suitable for character animation, social content, concept prototyping, and motion-transfer workflows.

Parameters

ParameterRequiredDescription
imageYesTarget image to animate.
videoYesMotion reference video used to drive the animation.
qualityNoOutput quality tier: 360p, 540p, or 720p. Default: 360p.

How to Use

  1. Upload your image — provide the character, object, or subject you want to animate.
  2. Upload your motion video — provide the reference clip whose movement should be mimicked.
  3. Choose quality — select 360p, 540p, or 720p.
  4. Submit — run the model and download the generated animation.

Example Use Case

Animate a stylized character image using the body movement from a dance or walking reference video.

Pricing

Pricing depends on quality and reference video duration.

QualityPrice per Billed Second
360p$0.090
540p$0.100
720p$0.120

Billing Rules

  • Billing is based on the uploaded reference video duration
  • Billed duration is rounded up to the next whole second
  • Minimum billed duration is 1 second
  • Maximum billed duration is 30 seconds
  • 360p costs $0.090 per billed second
  • 540p costs $0.100 per billed second
  • 720p costs $0.120 per billed second

Example Costs

Quality1s5s10s30s
360p$0.090$0.450$0.90$2.70
540p$0.100$0.500$1.00$3.00
720p$0.120$0.600$1.20$3.60

Best Use Cases

  • Character animation — Bring illustrated or stylized characters to life with real motion input.
  • Avatar motion transfer — Apply human movement to a custom avatar image.
  • Social media content — Create short animated clips from static artwork and motion footage.
  • Concept prototyping — Quickly test how a character or product might move.
  • Stylized performance clips — Combine real movement with a designed visual subject.

Pro Tips

  • Use a clean target image with a clearly visible full body or main subject.
  • Choose a motion reference video with clear, readable movement.
  • Start with shorter clips when testing motion quality.
  • Use 360p for quick experiments and 720p for better final output.
  • Keep the reference motion simple if you want more stable results.

Notes

  • Both image and video are required.
  • quality defaults to 360p.
  • Billing is based on the reference video duration, rounded up to the next whole second.
  • Videos longer than 30 seconds are billed as 30 seconds.
  • Pricing depends only on quality and billed video duration.
  • Reference videos must be no longer than 30 seconds. Pricing is capped at 30 seconds only if the platform enforces or trims the input to the supported 30-second limit.

Related Models

  • PixVerse Models — Useful when you want prompt-driven animation instead of motion transfer.
Note:This website uses AI models provided by third parties.

Motion Control Mimic API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pixverse/motion-control/mimic 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 Motion Control Mimic below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "quality": "360p"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/pixverse/motion-control/mimic" \
  -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/pixverse/motion-control/mimic";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "quality": "360p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "quality": "360p"
}

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/pixverse/motion-control/mimic", 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)

Motion Control Mimic API — Frequently asked questions

What is the Motion Control Mimic API?

Motion Control Mimic is a Pixverse model for pose / motion driven video, exposed as a REST API on WaveSpeedAI. PixVerse Motion Control Mimic is a fast AI motion transfer model that transfers motion from a reference video onto a target image to create natural character animation from a still image and motion clip. Ready-to-use REST inference API for character animation, pose transfer, reference motion videos, social media clips, advertising creatives, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Motion Control Mimic 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/pixverse/pixverse-motion-control-mimic.

How much does Motion Control Mimic cost per run?

Motion Control Mimic starts at $0.090 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 Motion Control Mimic accept?

Key inputs: `image`, `video`, `quality`. 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/pixverse/pixverse-motion-control-mimic.

How do I get started with the Motion Control Mimic API?

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.

Can I use Motion Control Mimic outputs commercially?

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

PixVerse Motion Control Mimic API on WaveSpeedAI