Kwaivgi Kling V2.5 Turbo Pro Text To Video
Playground
Try it on WavespeedAI!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?
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Enhanced multi-step instruction understanding A new text-and-timing controller processes multi-step prompts to transform static inputs into coherent, controllable narrative scenes.
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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.
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Faster inference Optimized pipelines reduce end-to-end delay, providing faster delivery of high-quality results without compromising visual fidelity.
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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
| Duration | Price |
|---|---|
| 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
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Write the prompt – Specify subject, scene, actions, camera movement, and style keywords; include multi-step/causal logic if needed.
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Choose aspect – Match output to your channel and quality targets.
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Set duration – Help models understand how long of the result.
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Set guidance_scale – Controls how strongly the model follows your prompt. The higher the value, the less creative freedom the model has.
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Generate – Leverage accelerated inference to get a first pass quickly.
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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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| aspect_ratio | string | No | 16:9 | 1:1, 9:16, 16:9 | The aspect ratio of the generated media. |
| duration | integer | No | 5 | 5, 10 | The duration of the generated media in seconds. |
| guidance_scale | number | No | 0.5 | 0.00 ~ 1.00 | The guidance scale to use for the generation. |
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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 |