kwaivgi/kling-video-o3-std/video-edit

video-to-video

Kling Omni Video O3 Video-Edit (Standard) enables natural-language video edits: remove or replace objects, change backgrounds, add effects, and more. Video duration limited to 10s.

INPUT

Loading parameter configuration...

OUTPUT

Idle

Your generated videos will appear here

Configure your settings and click Run to get started

Your request will cost 0.238 per run. For $10 you can run this model approximately 42 times.

Here's what you can do next:

Video Upscaler Video extend

1. Code Examples

2. Schema

3. LLM Prompt

4. Parameters

import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "kwaivgi/kling-video-o3-std/video-edit",
    "prompt": "A beautiful sunset over the ocean with gentle waves",
    "width": 512,
    "height": 512,
    "duration": 3,
    "fps": 24
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

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Kling Video O3 Std Video Edit

Kling Video O3 Standard Video Edit 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 and predictable performance.

Why Choose This?

Prompt-driven editing Describe your edits in plain language — 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.

Scene-level understanding The model recognizes objects, backgrounds, and context within the video to apply accurate, context-aware edits.

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

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the desired edit
video	Yes	Input video to edit (URL or upload)
images	No	Up to 4 reference images for element, scene, or style guidance
keep_original_sound	No	Whether to keep the original sound from the video (default: enabled)

How to Use

Run — submit and download the edited video.
Set audio preference — toggle keep_original_sound to preserve or remove original audio.
Add reference images (optional) — attach up to 4 images to steer the look of elements or styles.
Write your prompt — describe exactly what should change (e.g., "Change the beer to Cola.").
Upload your video — drag-and-drop, file upload, or paste a public URL.

Best Use Cases

Storytelling & Film — Adjust scene details, atmosphere, or objects to refine narrative visuals in post-production.
Creative Exploration — Experiment with style changes, scene swaps, and visual concepts on existing footage.
E-commerce — Edit product videos to showcase different variants, colors, or settings from a single source clip.
Brand & Marketing — Replace or update branded elements across video assets without reshooting.
Social Media Campaigns — Quickly swap products, backgrounds, or props in short-form videos.

Pro Tips

Ensure video URLs are publicly accessible — a preview thumbnail in the interface confirms the link works.
Test edits on shorter clips first, then apply to longer footage once satisfied.
Keep keep_original_sound enabled when audio continuity matters for your project.
Reference images work best when they clearly represent the target element or style.
Use clear, specific prompts describing exactly what should change for best results.

Notes

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

Kling Video O3 Std Text-to-Video — Generate videos from text prompts at Standard pricing.
Kling Video O3 Std Image-to-Video — Animate a single image into video at Standard pricing.
Kling Video O3 Pro Video Edit — Maximum quality video editing with O3 Pro tier.