Kling Video O1 Std Video Edit | AI Video Enhancement API

Kling Omni Video O1 (Standard) — Video Edit

Kling Omni Video O1 is Kuaishou's groundbreaking unified multi-modal video model. The Video-Edit mode revolutionizes video editing through natural language — simply describe what you want to change, and the AI performs pixel-level semantic reconstruction.

Key Capabilities

Conversational Editing

Edit videos with simple text commands:

"Remove the pedestrians from the background"
"Change daytime to dusk"
"Replace the character's clothing with a red dress"
"Add snow falling in the scene"

Comprehensive Modification

The model supports editing:

Content — Add, remove, or modify objects and people
Angles & Perspectives — Adjust camera viewpoints
Backgrounds — Replace or modify scene environments
Local Elements — Edit specific parts of the frame
Styles & Colors — Apply artistic transformations
Weather & Lighting — Change atmospheric conditions

Semantic Understanding

The MVL system interprets your intent and performs:

Pixel-level semantic reconstruction
Context-aware modifications
Coherent multi-frame changes
Natural blending of edits

Core Features

Natural Language Control — Describe edits in plain text
Object Removal — Clean removal without artifacts
Style Transfer — Apply artistic and visual styles
Scene Modification — Change environments and settings
Element Replacement — Swap objects, clothing, and more

Price

Duration (s)	Total Price ($)
3	0.378
4	0.504
5	0.630
6	0.756
7	0.882
8	1.008
9	1.134
10	1.260

How to Use

Upload Your Video Provide the source video you want to edit.
Upload images (Optional) Including reference images of the element, scene, style, etc. Max 10 images
Describe Your Edit Write a natural language command for the modification.

Example: "Remove all cars from the street and change the time to golden hour"

Set Parameters Choose whether to keep original sound.
Generate Receive your edited video with seamless modifications.

Pro Tips

Be specific about what to change and how
Use clear spatial terms ("left side," "background," "foreground")
Combine multiple edits in one prompt when related
For complex edits, break them into sequential steps

Example Commands

Command	Effect
"Remove the logo"	Cleans branded elements
"Make it night time"	Adjusts lighting and atmosphere
"Add rain effects"	Inserts weather elements
"Change hair color to blonde"	Modifies character appearance
"Replace background with beach"	Swaps environment

Kling O1 series models

kwaivgi/kling-video-o1-std — Reference to Video — Generate new videos guided by a reference video to preserve motion, style, and scene consistency, ideal for controlled variations and iterative content creation.
kwaivgi/kling-video-o1-std — Image to Video — Turn a single image into a smooth, high-quality video with coherent motion and cinematic continuity, perfect for ads, social content, and rapid creative prototyping.

Kling Video O1 Std Video Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1-std/video-edit with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Kling Video O1 Std Video Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1-std/video-edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "keep_original_sound": true
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("kwaivgi/kling-video-o1-std/video-edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "keep_original_sound": true
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-video-o1-std/video-edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "keep_original_sound": true
}
)

print(output["outputs"][0])  # → URL of the generated output

Kling Video O1 Std Video Edit API — Frequently asked questions

What is the Kling Video O1 Std Video Edit API?

Kling Video O1 Std Video Edit is a Kuaishou model for video editing, exposed as a REST API on WaveSpeedAI. Kling Omni Video O1 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 O1 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-video-o1-std-video-edit.

How much does Kling Video O1 Std Video Edit cost per run?

Kling Video O1 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 O1 Std Video Edit accept?

Key inputs: `prompt`, `images`, `video`, `keep_original_sound`. 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-o1-std-video-edit.

How long does Kling Video O1 Std Video Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 582 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Kling Video O1 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.

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