X AI Grok Imagine Video Video Extend API Documentation

X AI Grok Imagine Video Video Extend API Documentation

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X-AI Grok Imagine Video Extend turns short clips into longer videos with smooth motion continuity and natural scene extension. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Grok Imagine Video Extend is X-AI’s video extension model that seamlessly extends existing videos by generating additional frames. Upload a video clip and describe the continuation — the model generates smooth, coherent footage that naturally extends your original content by 6 or 10 seconds.


Why Choose This?

  • Seamless extension Generates new frames that naturally continue the motion and style of your original video.

  • Flexible duration Extend videos by 6 or 10 seconds based on your needs.

  • Prompt-guided generation Describe how the video should continue for precise control over the extension.

  • Automatic concatenation The extended footage is automatically merged with the original video for a seamless result.


Parameters

ParameterRequiredDescription
videoYesSource video to extend (URL or upload).
promptYesDescribe how the video should continue.
durationNoExtension length: 6 (default) or 10 seconds.

How to Use

  1. Upload your video — provide the source video you want to extend.
  2. Write your prompt — describe how the video should continue (motion, action, scene changes).
  3. Set duration — choose 6 or 10 seconds of extension.
  4. Run — submit and download your extended video.

Pricing

DurationCost
6s$0.30
10s$0.50

Billing Rules

  • Rate: $0.05 per second
  • Duration options: 6 or 10 seconds
  • Billing is based on the selected duration, not actual playback length

Best Use Cases

  • Content Extension — Extend short clips into longer sequences for storytelling.
  • Social Media — Transform brief moments into full-length videos for TikTok, Reels, or Shorts.
  • Film & Production — Extend establishing shots or B-roll footage.
  • Looping Content — Create extended versions of clips for backgrounds or displays.
  • Creative Projects — Continue scenes beyond their original capture.

Pro Tips

  • Use detailed prompts describing how the motion, camera, and scene should continue.
  • For best results, use source videos with clear motion direction that can be naturally continued.
  • Start with a 6-second extension to test your prompt before committing to 10 seconds.
  • Describe both motion and atmosphere in your prompt for richer results.

Notes

  • Both video and prompt are required fields.
  • Extension duration options: 6 or 10 seconds.
  • Ensure uploaded video URLs are publicly accessible.
  • The output includes the original video with the extension appended.

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'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
  "duration": 6
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video/video-extend" \
  -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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text description of how the video should continue.
videostringYes-URL of the input video to extend.
durationintegerNo66, 10Duration of the extension in seconds.

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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (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
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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