Kwaivgi Kling Video O1 Text To Video
Playground
Try it on WaveSpeedAI!Kling Omni Video O1 is Kuaishou’s first unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. 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, representing the world’s first AI system that seamlessly integrates text, images, videos, and subject references into a single creative engine. The Text-to-Video mode transforms natural language prompts into stunning, cinematic video content.
🌟 Why Kling Video O1 Stands Out
Universal Creative Engine
Unlike traditional single-task models, Video O1 unifies multiple video generation capabilities:
- Text-to-video generation
- Image-to-video transformation
- Reference-based video creation
- Video editing and modification
- Shot extension and scene continuation
Multi-Modal Visual Language (MVL)
The model interprets your instructions through a revolutionary MVL system that understands:
- Natural language descriptions
- Visual context and references
- Subject identity and characteristics
- Scene dynamics and physics
Subject Consistency
Maintains stable character, prop, and scene features across varying shots — similar to professional directing techniques used in film production.
🎬 Core Features
- Cinematic Quality — Film-grade visual output with natural lighting and realistic motion
- Physics Simulation — Accurate real-world physics for natural movement and dynamics
- Semantic Understanding — Deep comprehension of complex prompts and creative intent
- Flexible Outputs — Multiple resolution and duration options
🚀 How to Use
-
Write Your Prompt Describe the scene, action, camera movement, and mood you want. > Example: “A young woman walking through a neon-lit Tokyo street at night, rain reflecting city lights, cinematic tracking shot”
-
Set Parameters Choose your preferred duration, resolution, and aspect ratio.
-
Generate Submit your request and receive high-quality video output.
💰 Pricing
| Item | Price |
|---|---|
| Per Second | $0.112 |
Billed per second of output video duration.
💡 Pro Tips
- Use specific camera terms: “tracking shot,” “close-up,” “aerial view”
- Describe lighting conditions: “golden hour,” “neon-lit,” “soft diffused light”
- Include motion cues: “slowly walking,” “rapid zoom,” “gentle breeze”
- Specify mood and atmosphere for better results
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"aspect_ratio": "16:9",
"duration": 5
}
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/text-to-video" \
-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. | |
| aspect_ratio | string | No | 16:9 | 16:9, 9:16, 1:1 | The aspect ratio of the generated video. |
| duration | integer | No | 5 | 5, 10 | The duration of the generated media in seconds. |
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 |