WaveSpeedAI APIKwaivgiKwaivgi Kling Video O1 Std Image To Video

Kwaivgi Kling Video O1 Std Image To Video

Kwaivgi Kling Video O1 Std Image To Video

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Kling Omni Video O1 Image-to-Video (Standard) turns static images into dynamic, high-quality videos while preserving subject identity and visual/temporal consistency. It adds natural motion, realistic physics, and smooth scene dynamics, and supports flexible clip durations when reference frames are provided. Built for stable production use and cost efficiency with a ready-to-use REST API, fast response, no cold starts, and predictable pricing.

Features

Kling Omni Video O1 - Text-to-Video (Standard)

Kling Omni Video O1 (Standard) is Kuaishou’s unified multi-modal video generation model, optimized for cost efficiency and stable production use. The Text-to-Video mode transforms natural language prompts into high-quality videos with coherent motion, strong scene understanding, and cinematic results.


Key Capabilities

Intelligent Text-to-Video Generation

Generate videos directly from text descriptions:

  • Converts natural language into dynamic video scenes
  • Understands actions, environments, and visual styles
  • Produces smooth, temporally consistent motion

Scene and Motion Coherence

Advanced video reasoning ensures:

  • Logical object interactions and movement flow
  • Stable scene structure across frames
  • Consistent lighting, colors, and atmosphere

Multi-Modal Prompt Understanding

Use descriptive prompts to control:

  • Subject appearance and actions
  • Camera movement and framing
  • Mood, style, and scene dynamics

Core Features

  • Text-Driven Video Synthesis — From prompt to video in one step

  • Temporal Consistency — Stable visuals across the entire sequence

  • Cinematic Motion — Natural movement and camera dynamics

  • Standard Optimization — Balanced quality, speed, and cost

  • Adaptive Duration Control — Video length adapts based on input conditions

    • When last_image is provided, supports flexible durations from 3 to 10 seconds
    • Without last_image, generation is limited to 5s or 10s for optimal stability

How to Use

  1. Enter Your Text Prompt Describe the scene, subject, and actions in natural language.

  2. Refine with Details (Optional) Add style, camera motion, or environment cues.

    Example: “A futuristic city at night, neon lights reflecting on wet streets, slow cinematic camera pan”

  3. Set Parameters Choose video duration and whether to use start and end frames for generation.

  4. Generate Receive a coherent, dynamic video generated entirely from text.


Pricing

durationprice
per second$0.084

Pro Tips

  • Use clear, descriptive prompts for best results
  • Specify actions and camera movement for more dynamic videos
  • Combine environment and motion details for cinematic quality
  • Ideal for large-scale generation and cost-sensitive use cases

Kling O1 series models

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-std/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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.
imagestringYes-first_frame is the first frame
last_imagestringNo--last_frame is the last frame.
durationintegerNo53, 4, 5, 6, 7, 8, 9, 10The duration of the generated media. Only 5s or 10s are supported when last_image is not used.

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

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray 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.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
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