WaveSpeedAI APIKwaivgiKwaivgi Kling Video O1 Text To Video

Kwaivgi Kling Video O1 Text To Video

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 — Text-to-Video

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

  1. 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”

  2. Set Parameters Choose your preferred duration, resolution, and aspect ratio.

  3. Generate Submit your request and receive high-quality video output.


💰 Pricing

ItemPrice
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


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "16:9",
    "duration": 5
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
aspect_ratiostringNo16:916:9, 9:16, 1:1The aspect ratio of the generated video.
durationintegerNo55, 10The duration of the generated media in seconds.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

© 2025 WaveSpeedAI. All rights reserved.