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Kling Video O3 Std Video Edit | AI Video Editing

kwaivgi/

Kling Omni Video O3 Video-Edit (Standard) enables natural-language video edits: remove or replace objects, swap backgrounds, restyle scenes, change weather/lighting, and apply localized 3-10s transformations with strong temporal consistency. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing.

video-to-video
輸入

就緒

$0.63每次運行·~15 / $10

下一步:

示例查看全部

Change the time to the night.

相關模型

README

Kling Video O3 Std Video Edit

Kling Video O3 Standard Video Edit is Kuaishou's cost-efficient video editing model in the O3 generation. Upload a video and describe the change you want — swap objects, shift time of day, alter scenes or styles — and get clean edited results with preserved motion and structure. Supports up to 4 reference images for precise visual guidance and optional original audio retention.

Why Choose This?

  • O3 editing at Standard pricing Prompt-driven video editing powered by the latest O3 architecture at a lower cost than Pro.

  • Natural-language edits Describe changes in plain text — no timeline, no masks, no manual keyframing required.

  • Reference image support Attach up to 4 reference images to guide the target element, scene, or style in the output.

  • Audio preservation Keep the original soundtrack intact with the keep_original_sound option.

  • Motion-consistent output Edits blend naturally across frames with strong temporal coherence — minimal flicker or ghosting.

Parameters

ParameterRequiredDescription
promptYesText description of the desired edit.
videoYesInput video to edit (URL or upload).
imagesNoUp to 4 reference images for element, scene, or style guidance.
keep_original_soundNoWhether to keep the original sound from the video. Default: enabled.
shot_typeNoEditing mode: intelligent (default, auto-determines edit scope) or customize.

How to Use

  1. Upload your video — drag-and-drop, file upload, or paste a public URL.
  2. Write your prompt — describe exactly what should change (e.g., "Turn the bouquet into a teddy bear").
  3. Add reference images (optional) — attach up to 4 images to steer the look of elements or styles.
  4. Set audio preference — toggle keep_original_sound to preserve or remove original audio.
  5. Select shot_type — use intelligent for automatic edit scope, or customize for manual control.
  6. Run — submit and download the edited video.

Pricing

DurationCost
3s$0.378
5s$0.630
10s$1.260

Billing Rules

  • Base price: $0.63 per 5 seconds ($0.126 per second)
  • Minimum billed duration: 3 seconds
  • Maximum billed duration: 10 seconds

Best Use Cases

  • Social Media Content — Quickly swap props, backgrounds, or lighting conditions in short-form videos.
  • Budget-Friendly Editing — Get O3-quality edits at Standard pricing for high-volume workflows.
  • Scene Adjustments — Change time of day, weather, or atmosphere without reshooting.
  • E-commerce — Edit product videos to showcase different settings or variants from a single source clip.
  • Rapid Iteration — Test multiple edit ideas at lower cost before committing to Pro-tier output.

Pro Tips

  • Use clear, specific prompts describing exactly what should change for best results.
  • Reference images work best when they clearly represent the target element or style.
  • Keep keep_original_sound enabled when audio continuity matters for your project.
  • For cost-sensitive workflows, use Std for iteration and reserve Pro for final renders.
  • Ensure video URLs are publicly accessible — a preview thumbnail in the interface confirms the link works.

Notes

  • Both prompt and video are required fields.
  • Billed duration is clamped between 3 and 10 seconds regardless of actual video length.
  • If using a URL, make sure it is publicly accessible.

Related Models

提示:本網站部分功能由第三方 AI 模型提供支援。

Kling Video O3 Std Video Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-std/video-edit 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 Kling Video O3 Std Video Edit 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",
    "keep_original_sound": true,
    "shot_type": "customize"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-std/video-edit" \
  -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/kwaivgi/kling-video-o3-std/video-edit";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "keep_original_sound": true,
        "shot_type": "customize"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "keep_original_sound": True,
    "shot_type": "customize"
}

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/kwaivgi/kling-video-o3-std/video-edit", 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)

Kling Video O3 Std Video Edit API — Frequently asked questions

What is the Kling Video O3 Std Video Edit API?

Kling Video O3 Std Video Edit is a Kuaishou model for video editing, exposed as a REST API on WaveSpeedAI. Kling Omni Video O3 Video-Edit (Standard) enables natural-language video edits: remove or replace objects, swap backgrounds, restyle scenes, change weather/lighting, and apply localized 3-10s transformations with strong temporal consistency. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling Video O3 Std Video Edit 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/kwaivgi/kwaivgi-kling-video-o3-std-video-edit.

How much does Kling Video O3 Std Video Edit cost per run?

Kling Video O3 Std Video Edit starts at $0.63 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 Kling Video O3 Std Video Edit accept?

Key inputs: `prompt`, `images`, `video`, `keep_original_sound`, `shot_type`. 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/kwaivgi/kwaivgi-kling-video-o3-std-video-edit.

How long does Kling Video O3 Std Video Edit take to generate?

Median end-to-end generation time on WaveSpeedAI is around 166 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 Kling Video O3 Std Video Edit outputs commercially?

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

Kling Video O3 Std Video Edit | AI Video Editing API on WaveSpeedAI