Kwaivgi Kling Video O1 Video Edit
Playground
Try it 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.
Features
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
-
Upload Your Video Provide the source video you want to edit.
-
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 output format and quality settings.
-
Generate Receive your edited video with seamless modifications.
💰 Pricing
| Item | Value |
|---|---|
| Per Second | $0.168 |
| Duration Range | 3-10 seconds |
Supports video duration between 3 and 10 seconds. Videos shorter than 3s are billed at 3s; videos longer than 10s are billed at 10s.
⚠️ Important Note (File Size Limit)
-
Maximum input file size: 200 MB
-
If you upload a video larger than 200 MB, the system may still return an output, but:
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The edit is very likely to fail or look severely degraded
-
Results may not follow your instructions reliably
-
For best results, please compress or trim your video so that the uploaded file is ≤ 200 MB.
💡 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 |
⚡ Looking for Faster Results?
If you need quicker turnaround times and more affordable pricing, check out Kling Video O1 Video-Edit Fast — a streamlined version optimized for speed and cost efficiency.
More Model to Try
-
WaveSpeedAI Video Face Swap AI video face swap model from WaveSpeedAI for realistic, frame-consistent identity replacement in short-form content, marketing videos, and UGC-style clips.
-
WaveSpeedAI Video Head Swap Full head swap model that preserves body motion and scene layout while replacing the performer’s head, ideal for digital avatars, commercials, and creative character videos.
-
WaveSpeedAI Video Eraser AI video object removal and background cleanup tool that erases people, logos, or unwanted items frame by frame, generating clean, professional-looking footage for editing and post-production.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"keep_original_sound": true
}
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-o1/video-edit" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| video | string | Yes | - | The video URL. | |
| images | array<string> | No | - | 0 ~ 4 items | Including reference images of the element, scene, style, etc. Max 4 |
| keep_original_sound | boolean | No | true | - | Select whether to keep the video original sound through the parameter |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |