Kling v2 · Text to Video

Video·kling-v2·by Kling

Kling v2 Text to Video transforms written text into smooth, well-structured videos, enhancing visual clarity while maintaining consistent pacing throughout.

Try it now →
API reference
Runtime (p50)
6m
Estimated price
$0.14 / unit
Call the API
prediction.sh
sh
curl -X POST \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
    "model": "kling-v2-text-to-video",
    "version": "0.0.1",
    "input": {
        "aspect_ratio": "16:9",
        "cfg_scale": 0.5,
        "duration": 5,
        "prompt": "At night, a futuristic city sprawls under a vibrant neon sky. Flying vehicles weave rapidly between towering skyscrapers bathed in electric blues, pinks, and purples. The camera dynamically follows a sleek, high-tech hovercar as it speeds through narrow aerial highways, dodging other vehicles and neon billboards. Reflections shimmer on glass surfaces, and holographic ads float in the misty air, adding layers of light and movement. The scene is fast-paced, cinematic, and deeply immersive."
    },
    "webhook_url": ""
}' \
  https://api.eachlabs.ai/v1/prediction/
Documentation8 sections
  • Overview

    kling-v2-text-to-video — Text to Video AI Model

    Developed by Kling as part of the kling-v2 family, kling-v2-text-to-video transforms detailed text prompts into smooth, cinematic videos with native audio generation, solving the challenge of creating high-quality audiovisual content without separate editing tools. This text-to-video AI model stands out by producing synchronized sound effects, ambient noise, and emotional tones alongside fluid motion in a single pass, delivering 1080p clips up to 10 seconds long at aspect ratios like 16:9. Ideal for creators seeking a Kling text-to-video solution with built-in audio, kling-v2-text-to-video offers 2x faster generation and 30% lower costs compared to prior versions, ensuring consistent character movement and visual realism.

  • Capabilities

    Generates animated video content from text instructions.

    Supports dynamic motion rendering based on descriptive language.

    Handles multiple scene types: nature, objects, actions, characters.

    Adaptable aspect ratios for different display needs.

    Can exclude unwanted elements via negative prompts.

    Balances prompt faithfulness and creative output with CFG scaling.

  • Use cases

    Use Cases for kling-v2-text-to-video

    Content creators producing social media reels can input a prompt like "A slow-motion pour of espresso into a white ceramic cup, steam rising gently, cafe ambient chatter and soft espresso machine hum in the background, cinematic 16:9" to generate a polished 1080p clip with native audio, ready for platforms like Instagram or TikTok without extra editing.

    Marketers developing ad prototypes leverage kling-v2-text-to-video's motion fidelity for product demos, such as animating a smartphone in dynamic lighting with synchronized whooshing transitions and upbeat ambient music, streamlining campaigns that demand quick, realistic visuals.

    Developers integrating a Kling text-to-video API into apps for storytelling tools use its first-frame conditioning and audio sync to build interactive narrative generators, where users describe scenes and receive consistent, voiced animations for educational or gaming content.

    Filmmakers experimenting with storyboards benefit from the model's 10-second clips at 1080p, crafting seamless loops with emotional tone matching, like dramatic character walks with footsteps and wind ambience, accelerating pre-production visualization.

  • Tips & tricks

    How to Use kling-v2-text-to-video on Eachlabs

    Access kling-v2-text-to-video seamlessly through Eachlabs Playground for instant testing, API for scalable integrations, or SDK for custom apps—simply provide a detailed text prompt, optional duration up to 10 seconds, aspect ratio like 16:9, and CFG scale for adherence. It outputs 1080p MP4 videos with native audio in about 60 seconds, ensuring high-quality, commercially viable results optimized for motion and realism.

    ---
  • Technical spec

    What Sets kling-v2-text-to-video Apart

    kling-v2-text-to-video excels in the competitive text-to-video landscape with native audio integration across T2V modes, generating voices, sound effects, and ambience synchronized to motion in one step. This enables creators to produce complete audiovisual scenes without post-production audio syncing, a feature that sets it apart from models lacking built-in sound.

    It supports up to 1080p resolution at 30fps with flexible aspect ratios including 16:9 and 9:16, alongside max durations of 10 seconds for short-form content and processing times around 60 seconds per clip. Users benefit from high-fidelity outputs suitable for social media or ads, with enhanced motion fluidity and temporal coherence not always matched in rivals.

    • Integrated audio-visual generation: Combines speech, effects, and scene pacing in a single pass, ideal for kling-v2-text-to-video API integrations needing ready-to-use clips.
    • Advanced motion engine: Delivers stable camera behavior and character consistency, enabling precise cinematic sequences from text prompts alone.
    • Efficient performance: 2x faster speeds at 7 credits per second, balancing quality and cost for high-volume text-to-video AI model workflows.
  • Things to be aware of

    Test the same prompt across different Aspect Ratios to see framing impact.

    Adjust CFG Scale incrementally to find the optimal creativity-control balance.

    Use Negative Prompts to block artifacts like “blurry faces” or “oversaturated colors.”

    Create action-based prompts (e.g. “a dog chasing a ball through a park”) for best motion results.

    Combine abstract and literal terms (e.g. “a dreamy floating city at sunset”) for cinematic outputs.

    Compare 5-second vs 10-second durations for pacing differences.

  • Key considerations

    Kling v2 Text to Video does not support uploading images or videos as input sources.

    Kling v2 Text to Video requires well-defined prompts for coherent motion sequences.

    Overly complex or abstract prompts may result in less predictable outputs.

    Video duration is strictly limited to either 5 or 10 seconds.

    Aspect Ratio changes significantly affect composition; test different ratios for best framing.

    CFG Scale influences creativity versus strict prompt fidelity — values above 0.8 can overly restrict motion diversity.


    Legal Information

    By using Kling v2 Text to Video model, you agree to:

  • Limitations

    No support for image or video input conditioning.

    Maximum video duration is capped at 10 seconds.

    Excessively detailed or long prompts might not translate well into coherent motion.

    Limited control over fine-grain frame-by-frame content.

    Higher CFG values may reduce creative variation.

    Outputs may occasionally differ in style or detail intensity based on prompt phrasing.

    Output Format: MP4

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* FAQ

About Kling v2 · Text to Video

01 / 03

What is Kling V2 Text-to-Video on eachlabs?

Kling V2 Text-to-Video is an AI video generation model on eachlabs from Kling's second generation, creating high-quality video clips from text prompts. The V2 generation introduced substantial improvements in motion dynamics, visual quality, and semantic understanding over V1 models, making it a relevant mid-generation option within eachlabs' Kling model catalog.