WaveSpeedAI APIKwaivgiKwaivgi Kling V2.5 Turbo Pro Text To Video

Kwaivgi Kling V2.5 Turbo Pro Text To Video

Kwaivgi Kling V2.5 Turbo Pro Text To Video

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Kling 2.5 Turbo Pro: A cutting-edge solution for text-to-video generation, delivering unmatched motion fluidity, cinematic-grade visuals, and remarkable prompt precision. With its enhanced dynamic effect processing and upgraded text-to-motion responsiveness, it ensures seamless transitions while maintaining exceptional aesthetic fidelity across all styles.

Features

Kling 2.5 Turbo Pro (Text-to-Video)

Kling 2.5 Turbo Pro is an advanced text-to-video model that produces ultra-smooth motion, cinematic visuals, and accurate prompt adherence.

Its improved dynamic processing and text-to-motion control allow for seamless transitions while maintaining style fidelity across various looks.

What makes it different?

  • Enhanced multi-step instruction understanding A new text-and-timing controller processes multi-step prompts to transform static inputs into coherent, controllable narrative scenes.

  • High-motion quality and stability Better training and data balance create realistic dynamics, enabling quick and complex movements with fewer artifacts like jitter, tearing, or frame drops.

  • Faster inference Optimized pipelines reduce end-to-end delay, providing faster delivery of high-quality results without compromising visual fidelity.

  • Consistent style Enhanced style conditioning preserves the reference look (palette, lighting, brushwork, mood), ensuring frames stay consistent - even during dynamic scenes.

Designed for

  • Marketing & Brand Teams – Produce style-consistent ads, feature demos, and campaign assets fast.
  • Content Creators / YouTubers / Short-form Teams – Improve watch-through with stronger narrative flow and motion.
  • Film/Animation Studios – Use for previz, technique exploration, and style studies with reliable dynamic consistency.
  • Training & Education – Turn documents into clear, high-resolution explainer videos for scalable distribution.

Pricing

DurationPrice
5s$0.35
10s$0.70

Billing Rules

  • Minimum charge: 5 seconds
  • Per-second rate = (price per 5 seconds) ÷ 5
  • Billed duration = video length in seconds (rounded up), with a 5-second minimum
  • Total cost = billed duration × per-second rate (by output resolution)

How to use

  1. Write the prompt – Specify subject, scene, actions, camera movement, and style keywords; include multi-step/causal logic if needed.

  2. Choose aspect – Match output to your channel and quality targets.

  3. Set duration – Help models understand how long of the result.

  4. Set guidance_scale – Controls how strongly the model follows your prompt. The higher the value, the less creative freedom the model has.

  5. Generate – Leverage accelerated inference to get a first pass quickly.

  6. Review & iterate – Refine timing, angles, or style strength and re-render for final delivery (Set the seed).

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-v2.5-turbo-pro/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "16:9",
    "duration": 5,
    "guidance_scale": 0.5
}'

# 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.
negative_promptstringNo-The negative prompt for the generation.
aspect_ratiostringNo16:91:1, 9:16, 16:9The aspect ratio of the generated media.
durationintegerNo55, 10The duration of the generated media in seconds.
guidance_scalenumberNo0.50.00 ~ 1.00The guidance scale to use for the generation.

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

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