Browse ModelsKwaivgiKwaivgi Kling V2.0 T2V Master

Kwaivgi Kling V2.0 T2V Master

Kwaivgi Kling V2.0 T2V Master

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Kling 2.0 Master is a Text-to-Video model featuring a Multi-Elements Editor, improved prompt understanding, and refined character motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Kling V2.0 Text-to-Video Master

Kling V2.0 Text-to-Video Master is Kuaishou’s flagship text-to-video generation model that delivers exceptional cinematic quality and realistic motion. Generate stunning videos from text descriptions with industry-leading visual fidelity and natural movement.


Why It Stands Out

  • Master-level quality: Top-tier output with exceptional detail, realism, and motion coherence.
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Negative prompt support: Exclude unwanted elements for cleaner, more controlled outputs.
  • Flexible aspect ratios: Choose from 16:9, 9:16, or 1:1 to fit any platform.
  • Flexible duration: Generate 5 or 10 second videos.

Parameters

ParameterRequiredDescription
promptYesText description of the video you want to generate.
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 1:1 (default: 16:9).
negative_promptNoElements to avoid in the generated video.
durationNoVideo length: 5 or 10 seconds (default: 5).

How to Use

  1. Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
  2. Select aspect ratio — choose the format that fits your platform.
  3. Add a negative prompt (optional) — specify elements to exclude.
  4. Set duration — choose 5 or 10 seconds.
  5. Click Run and wait for your video to generate.
  6. Preview and download the result.

Best Use Cases

  • Premium Content Creation — Generate broadcast-quality videos for professional projects.
  • Film & Storytelling — Create cinematic scenes with realistic motion and atmosphere.
  • Marketing & Advertising — Produce high-end promotional videos and commercials.
  • Music Videos — Generate visually stunning content for music releases.
  • Brand Content — Create premium visual assets for brand campaigns.

Pricing

DurationPrice
5 seconds$1.30
10 seconds$2.60

Pro Tips for Best Quality

  • Be detailed in your prompt — describe subject, action, environment, lighting, and mood.
  • Use negative prompts to exclude common artifacts like blur, distortion, or watermarks.
  • Include atmospheric details like “sunlight streaming through window” or “steam rising.”
  • Describe camera movements like “slow camera pan” or “tracking shot” for cinematic results.
  • Choose the right aspect ratio: 16:9 for widescreen, 9:16 for mobile, 1:1 for social squares.

Notes

  • Processing time varies based on duration and current queue load.
  • Please ensure your prompts comply with content guidelines.

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-v2.0-t2v-master" \
--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. max length 2500
aspect_ratiostringNo16:916:9, 9:16, 1:1The aspect ratio of the generated media.
negative_promptstringNo-The negative prompt for the generation.
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

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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