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Kling Video O1 Video Edit Fast

kwaivgi /

Kling Omni Video O1 Video-Edit enables conversational video editing through natural language commands. Remove objects, change backgrounds, modify styles, adjust weather/lighting, and transform scenes with simple text instructions like 'remove pedestrians' or 'change daytime to dusk'. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.

video-to-video
Input

Trascina e rilascia o clicca per caricare

Select whether to keep the video original sound through the parameter

Inattivo

$0.45per esecuzione·~22 / $10

Successivo:

EsempiVedi tutto

Change the men's clothes to a red suit.

Use the input video as structure. Keep the exact composition, café interior, and subtle background motions. Add one person, at a table on the right, place a casually dressed person sitting and working on a laptop, with a coffee cup beside them.

Add a flying bird in the sky.

Use the input video as structure. Keep the person, their walking motion, and the camera movement the same, but restyle everything in a soft anime Tokyo evening style. Turn the buildings into detailed Japanese storefronts with subtle signs, warm window light, and distant billboards. Set the time to blue hour, with a gentle gradient sky and a few streetlights already on. Colors are pastel and slightly desaturated, lines are clean and stable, and there are no extra fast-moving elements, only the original walking motion and slow parallax.

Change the blue-black color tone to a red-black color tone.

Modelli correlati

README

Kling Omni Video O1 — 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

🚀 How to Use

  1. Upload Your Video Provide the source video you want to edit.

  2. 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"

  1. Set Parameters Choose output format and quality settings.

  2. Generate Receive your edited video with seamless modifications.

💰 Pricing

ItemValue
Per Second$0.09
Duration Range6-20 seconds

Supports video duration between 6 and 20 seconds. Videos shorter than 6s are billed at 6s; videos longer than 20s are billed at 20s.

💡 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

CommandEffect
"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
Accessibilità:Questo sito web utilizza modelli di intelligenza artificiale forniti da terze parti.

Kling Video O1 Video Edit Fast API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1/video-edit-fast 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 Video Edit Fast below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1/video-edit-fast" \
  -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,
    "aspect_ratio": "16:9"
}'

# 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/video-edit-fast", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "keep_original_sound": true,
        "aspect_ratio": "16:9"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-video-o1/video-edit-fast",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "keep_original_sound": true,
    "aspect_ratio": "16:9"
}
)

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

Kling Video O1 Video Edit Fast API — Frequently asked questions

What is the Kling Video O1 Video Edit Fast API?

Kling Video O1 Video Edit Fast is a Kuaishou model for video editing, exposed as a REST API on WaveSpeedAI. Kling Omni Video O1 Video-Edit enables conversational video editing through natural language commands. Remove objects, change backgrounds, modify styles, adjust weather/lighting, and transform scenes with simple text instructions like 'remove pedestrians' or 'change daytime to dusk'. Ready-to-use REST API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling Video O1 Video Edit Fast 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-video-edit-fast.

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

Kling Video O1 Video Edit Fast starts at $0.45 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 Video Edit Fast accept?

Key inputs: `prompt`, `images`, `video`, `aspect_ratio`, `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-video-edit-fast.

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

Average end-to-end generation time on WaveSpeedAI is around 274 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 Video Edit Fast 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.