Pixverse Motion Control Mimic API Documentation
Playground
Try it 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.
Features
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, or720pdepending 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
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Target image to animate. |
| video | Yes | Motion reference video used to drive the animation. |
| quality | No | Output quality tier: 360p, 540p, or 720p. Default: 360p. |
How to Use
- Upload your image — provide the character, object, or subject you want to animate.
- Upload your motion video — provide the reference clip whose movement should be mimicked.
- Choose quality — select
360p,540p, or720p. - 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.
| Quality | Price per Billed Second |
|---|---|
| 360p | $0.090 |
| 540p | $0.100 |
| 720p | $0.120 |
Billing Rules
- Billing is based on the uploaded reference
videoduration - Billed duration is rounded up to the next whole second
- Minimum billed duration is 1 second
- Maximum billed duration is 30 seconds
360pcosts $0.090 per billed second540pcosts $0.100 per billed second720pcosts $0.120 per billed second
Example Costs
| Quality | 1s | 5s | 10s | 30s |
|---|---|---|---|---|
| 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 | $3.60 |
Best Use Cases
- Character animation — Bring illustrated or stylized characters to life with real motion input.
- Avatar motion transfer — Apply human movement to a custom avatar image.
- Social media content — Create short animated clips from static artwork and motion footage.
- Concept prototyping — Quickly test how a character or product might move.
- Stylized performance clips — Combine real movement with a designed visual subject.
Pro Tips
- Use a clean target image with a clearly visible full body or main subject.
- Choose a motion reference video with clear, readable movement.
- Start with shorter clips when testing motion quality.
- Use
360pfor quick experiments and720pfor better final output. - Keep the reference motion simple if you want more stable results.
Notes
- Both
imageandvideoare required. qualitydefaults to360p.- Billing is based on the reference video duration, rounded up to the next whole second.
- Videos longer than
30seconds are billed as30seconds. - Pricing depends only on
qualityand billed video duration. - Reference videos must be no longer than 30 seconds. Pricing is capped at 30 seconds only if the platform enforces or trims the input to the supported 30-second limit.
Related Models
- PixVerse Models — Useful when you want prompt-driven animation instead of motion transfer.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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 "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Target image whose subject will follow the reference video motion. | |
| video | string | Yes | - | Reference video containing the motion to mimic. | |
| quality | string | No | 360p | 360p, 540p, 720p | Video quality of the generated output. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |