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WAN 2.7 Video Extend extends existing videos with optional last frame control and audio support, supporting 720p/1080p output. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

video-extend
อินพุต

ว่าง

$0.5ต่อครั้ง·~20 / $10

ตัวอย่างดูทั้งหมด

The man was singing, and passersby applauded and gave him some change.

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README

Wan 2.7 Video Extend

Wan 2.7 Video Extend continues an existing video clip with new AI-generated footage, seamlessly picking up from where the original ends. Upload a source video, describe what should happen next, and optionally provide an audio track — the model generates a natural, motion-consistent extension at 720p or 1080p.

Why Choose This?

  • Seamless video continuation Extends your existing clip with new AI-generated footage that matches the original motion, style, and scene context.

  • Prompt-guided extension Describe what should happen next — direct the action, atmosphere, and narrative of the extended segment.

  • Audio input support Upload an audio track to guide the rhythm and pacing of the extended video.

  • Negative prompt support Specify what to avoid in the extension for more precise output control.

  • Prompt expansion Enable enable_prompt_expansion to let the model automatically enrich and optimize your prompt before generation.

  • Resolution options Generate extensions at 720p or 1080p to match your delivery requirements.

Parameters

ParameterRequiredDescription
videoYesSource video to extend (URL or file upload).
promptYesText description of the desired continuation.
audioNoAudio URL to guide generation.
negative_promptNoElements to exclude from the generated video.
resolutionNoOutput resolution: 720p (default) or 1080p.
durationNoTotal duration of the final output video in seconds (2–15s). Default: 5.
enable_prompt_expansionNoEnable automatic prompt optimization before generation. Default: off.
seedNoRandom seed for reproducible results. Use -1 for a random seed.

How to Use

  1. Upload your video — provide the source clip to extend via URL or drag-and-drop.
  2. Write your prompt — describe what should happen next in the scene. Use the Prompt Enhancer for better results.
  3. Upload audio (optional) — provide an audio URL to synchronize the extension.
  4. Add negative prompt (optional) — specify elements you want to exclude from the extended footage.
  5. Select resolution — 720p for standard output, 1080p for higher-quality results.
  6. Set duration — choose the total length of the output video in seconds (2–15s).
  7. Enable prompt expansion (optional) — let the model automatically enrich your prompt.
  8. Set seed (optional) — fix the seed to reproduce a specific result in future runs.
  9. Submit — generate, preview, and download your extended video.

Pricing

Duration720p1080p
5s$0.50$0.75
10s$1.00$1.50
15s$1.50$2.25

Billing Rules

  • 720p: $0.10 per second
  • 1080p: $0.15 per second (1.5× base rate)
  • Duration range: 2–15 seconds

Best Use Cases

  • Short Film & Narrative — Extend key scenes to develop story beats without reshooting.
  • Social Media Content — Lengthen clips to hit optimal duration for Reels, TikTok, and Shorts.
  • Marketing & Advertising — Extend product or campaign videos to fill longer ad slots.
  • Creative Exploration — Explore alternate continuations of the same source clip with different prompts.
  • Audio-Visual Projects — Synchronize extended footage to a music track or voiceover.

Pro Tips

  • Be specific about what should happen next — camera movement, subject action, and environmental changes.
  • Use negative_prompt to prevent the extension from repeating or contradicting the source footage.
  • Enable prompt expansion for shorter or less detailed prompts to get richer output automatically.
  • Use 720p to test your extension direction before committing to a 1080p final render.
  • Fix the seed once you find a direction you like to iterate consistently.

Notes

  • Both video and prompt are required fields; all other parameters are optional.
  • Duration range: 2–15 seconds for the total output video length.
  • Ensure video and audio URLs are publicly accessible if using links rather than direct uploads.
  • Please ensure your content complies with usage policies.

Related Models

หมายเหตุ:เว็บไซต์นี้ใช้โมเดล AI ที่จัดหาโดยบุคคลที่สาม ราคาในเอกสารใช้เพื่ออ้างอิงและอาจไม่เป็นปัจจุบัน ปุ่ม Generate แสดงราคาโดยประมาณ โดยยึดค่าบริการสุดท้ายของงานเป็นหลัก

Wan 2.7 Video Extend API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/video-extend 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 Wan 2.7 Video Extend below.

HTTP example
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",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "resolution": "720p",
    "duration": 5,
    "enable_prompt_expansion": false,
    "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/video-extend" \
  -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/alibaba/wan-2.7/video-extend";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "resolution": "720p",
        "duration": 5,
        "enable_prompt_expansion": false,
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "resolution": "720p",
    "duration": 5,
    "enable_prompt_expansion": False,
    "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/alibaba/wan-2.7/video-extend", 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)

Wan 2.7 Video Extend API — Frequently asked questions

What is the Wan 2.7 Video Extend API?

Wan 2.7 Video Extend is a Alibaba model for video extension, exposed as a REST API on WaveSpeedAI. WAN 2.7 Video Extend extends existing videos with optional last frame control and audio support, supporting 720p/1080p output. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Wan 2.7 Video Extend 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/alibaba/alibaba-wan-2.7-video-extend.

How much does Wan 2.7 Video Extend cost per run?

Wan 2.7 Video Extend starts at $0.50 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 Wan 2.7 Video Extend accept?

Key inputs: `prompt`, `video`, `audio`, `resolution`, `duration`, `seed`. 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/alibaba/alibaba-wan-2.7-video-extend.

How long does Wan 2.7 Video Extend take to generate?

Median end-to-end generation time on WaveSpeedAI is around 107 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 Wan 2.7 Video Extend outputs commercially?

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

Wan 2.7 Video Extend | AI Video Extension API on WaveSpeedAI