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  2. /Model
  3. /Kling
  4. /kling-v2.5-turbo-std / text-to-video
Kling
kling-v2.5-turbo-std / text-to-video
Documentation
Documentation
Kling 2.5 turbo video is a high-throughput cinematic model by Kuaishou. It excels in physical world simulation and human-object interaction, delivering 1080p clips at 60 FPS in under a minute via GPTProto's unified AI aggregation platform.

$ 0.168
$ 0.21

text

video

$ 0.168
$ 0.21

text

video

Playground
JSON
API

Input

Your browser does not support the video tag.
Your request will cost$0per run, for$100you can run this model approximately0times
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Kling 2.5 Turbo Video Key Features

Explore the technical advantages that make Kling the industry leader in cinematic AI video generation and temporal consistency.

Director-Level Camera Control

Kling supports granular API control for camera movements including Pan, Tilt, Zoom, and Dolly with sub-degree precision via structured JSON parameters for professional shots.

A contemporary dancer in translucent silk garments performing fluid, high-energy expressive movements and sharp contortions; the fabric trails through the air while disturbing floating dust motes in an abandoned industrial warehouse with rusted steel beams and cracked concrete floors. The camera executes a dynamic 360-degree orbiting tracking shot, circling the dancer at a medium distance. Lighting features dramatic volumetric God rays piercing through broken high windows, creating high-contrast chiaroscuro shadows. Visual style is cinematic 4K with a shallow depth of field, high-speed slow motion for motion clarity, and a gritty, atmospheric texture.

Prompt
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After

Director-Level Camera Control

Kling supports granular API control for camera movements including Pan, Tilt, Zoom, and Dolly with sub-degree precision via structured JSON parameters for professional shots.

High-Fidelity Audio-Visual Sync

Kling automatically generates synchronized environmental foley soundscapes that match the visual movement with an alignment error of less than 50ms for immersive results.

A professional contemporary dancer performing fluid, expressive movements and leaps through a cavernous, industrial abandoned warehouse. As they spin, dust particles swirl around their limbs and the minimalist fabric of their attire trails behind in slow motion. The camera executes a dynamic 360-degree orbital tracking shot, circling the performer from a low angle to emphasize height and grace. High-contrast volumetric "God rays" pierce through shattered high-altitude windows, illuminating the hazy atmosphere and airborne dust motes. Cinematic 4K, shallow depth of field with sharp focus on the dancer’s expressions, gritty industrial textures, and high dynamic range.

Prompt
arrow
After

High-Fidelity Audio-Visual Sync

Kling automatically generates synchronized environmental foley soundscapes that match the visual movement with an alignment error of less than 50ms for immersive results.

Sub-60s Turbo Inference

The Kling 2.5 turbo video architecture is engineered for high-concurrency environments, delivering 1080p clips in approximately 45 seconds under standard workloads.

Contemporary dancer in fluid garments performing explosive leaps and rhythmic floor work amidst plumes of suspended dust within a derelict industrial warehouse. The camera executes a dynamic 360-degree orbital tracking shot at a low angle, following the dancer's centrifugal motion. Lighting consists of high-contrast chiaroscuro with dramatic volumetric light rays piercing through shattered high-vaulted windows, casting elongated shadows on the cracked concrete floor. Cinematic 4K, high shutter speed for motion clarity, and a gritty, desaturated color palette with warm golden dust particles.

Prompt
arrow
After

Sub-60s Turbo Inference

The Kling 2.5 turbo video architecture is engineered for high-concurrency environments, delivering 1080p clips in approximately 45 seconds under standard workloads.

Advanced Temporal Stability

Kling achieves a 92% consistency score in background persistence across clips, significantly reducing the morphing artifacts often seen in competitive diffusion models.

In a sound-proofed home studio, a young ASMR artist closes her eyes in deep concentration, gently brushing a soft makeup brush against a high-fidelity binaural microphone. The room is warmly lit, creating a cozy and intimate atmosphere. She whispers softly into the mic: "You can hear the bristles, right? But now, listen to the audio processed with Wan2.5 from WaveSpeedAI... you can hear the texture of each individual fiber. The detail is unbelievable. Pure tingles." Extreme close-up shot on the microphone and brush, very shallow depth of field, warm, soft lighting, calm and immersive mood, cinematic 4K.

Prompt
arrow
After

Advanced Temporal Stability

Kling achieves a 92% consistency score in background persistence across clips, significantly reducing the morphing artifacts often seen in competitive diffusion models.

How to Get a kling-v2.5-turbo-std API Key

Getting a kling-v2.5-turbo-std API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.168 it's a cheaper kling-v2.5-turbo-std API key than going direct, and one key works across every model on the platform. Full kling-v2.5-turbo-std Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including kling-v2.5-turbo-std, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to kling-v2.5-turbo-std.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to kling-v2.5-turbo-std via GPT Proto and see instant AI-powered results.

Get API Key

Kling 2.5 Turbo Video: Essential FAQ

Learn how Kling 2.5 turbo video handles physics, API integration, and enterprise data privacy requirements on GPTProto.

How does Kling differ from the official Kuaishou API?

Kling 2.5 turbo video through GPTProto provides a unified USD-billing system, cross-region failover, and a standard OpenAI-compatible SDK. This setup removes the complexity of Kuaishou's native signature verification, making it easier for developers to integrate Kling into existing workflows without managing multiple regional accounts or complex authentication protocols.

Is data sent to Kling used for training?

No. As an aggregator, GPTProto enforces a strict zero-data-retention policy for model training on all Kling 2.5 turbo video requests. Your prompts, images, and generated video outputs remain private and are never used by Kuaishou or our platform to improve underlying models, ensuring enterprise-grade data security.

What is the typical inference time for Kling video?

The Kling 2.5 turbo video architecture is optimized for speed. Under standard load, a 5-second 1080p clip generates in approximately 45 seconds. This makes Kling one of the fastest cinematic-grade models available, significantly outperforming the standard generation times of Sora or earlier versions of Runway.

Does Kling support custom camera controls?

Yes. Kling supports granular API control for camera movements. Developers can specify parameters for Pan, Tilt, Zoom, and Dolly movements with sub-degree precision via structured JSON objects. This allows for director-level control over the Kling 2.5 turbo video output, ensuring the camera follows specific cinematic paths.

What resolutions does Kling 2.5 turbo support?

Kling supports native 1080p resolution at up to 60 FPS. It is trained to handle various aspect ratios including 16:9, 9:16, 1:1, and 21:9 without requiring post-inference cropping. This versatility ensures that Kling video content fits perfectly onto platforms ranging from IMAX screens to mobile social media feeds.

Can I migrate from Runway to Kling easily?

Migrating to Kling 2.5 turbo video is straightforward. Simply update your API base URL to GPTProto and change the model identifier to kling-v2.5-turbo-std. Most parameters, including aspect ratio and motion intensity, map directly to Kling's settings, allowing for a near-instant transition to Kling's superior physics engine.

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