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Kling V1.6 T2V Standard

kwaivgi /

Kling v1.6 boosts image-to-video quality by 195% over v1.5, with improved prompt understanding and richer physics-driven visual effects. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-video
Input

Idle

$0.225per run·~44 / $10

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ExamplesView all

An ancient mage in flowing robes walking alone through a vast desert, holding a glowing staff. The sun sets behind him, long shadows, sand swirling around. Magical realism, solemn and mystical tone

A man running across a dystopian city rooftop, low-angle shots, drones flying overhead, wind blowing, cinematic tension rising

A serene yoga instructor, gracefully holding a challenging pose on a cliff overlooking a calm, misty ocean at sunrise, seagulls circling above.

A wise old storyteller, with a twinkle in their eye, gesturing animatedly as they recount a captivating tale to a group of children around a campfire.

A spirit fox resting in a glowing mossy glade, bioluminescent plants pulsing gently, fog drifting between twisted roots, the fox’s fur shimmering with starlight

A stoic medieval knight, standing guard on a windswept castle battlement, their armor glinting under a dramatic, cloudy sky.

A vampire lady reading by candlelight in a gothic library, flickering shadows dancing across her pale face, long black lace dress gently swaying with her breath

A determined astronaut, gazing out the window of a spacecraft at the swirling blue and white marble of Earth, a sense of awe on their face.

A realistic medium shot of the same young woman, now standing confidently, looking directly at the viewer with a knowing expression, city lights blurring in the background, a slight evening breeze tousling her hair, strong backlight, professional portrait photography, 8K, cinematic.

A talented street musician, playing a soulful melody on a saxophone in a busy urban square, passersby pausing to listen.

A young witch standing in a forest clearing, her hair gently blowing in the wind, soft golden sunlight filtering through the trees, small glowing orbs floating around her

A shy scientist in a lab coat, making a groundbreaking discovery in a bustling, high-tech laboratory, surrounded by blinking machines.

Time-lapse of a bustling Tokyo street, fast-moving crowds, night turning into day, camera transitions to aerial view, dynamic rhythm

a portrait photo of a woman underwater with flowing hair

A grizzled cowboy riding a horse across a vast, sun-baked desert at sunset, dust kicking up behind them.

A majestic fantasy hero in full, ornate armor, standing on a cliff overlooking a vast, fantastical kingdom, with a dragon circling in the distant sky.

A cyberpunk girl walking through neon-lit alleyways, rain falling, close-up of her eyes, camera pans to her silhouette, smoke in the background, futuristic music vibe

A lone figure in a neon-lit, futuristic city, walking through bustling streets filled with holographic advertisements and flying vehicles. Rain reflects the vibrant lights.

A young adventurer in pixel art style, equipped with a sword and shield, standing on a grassy hill overlooking a pixelated castle. The wind gently rustles their pixelated cape.

A stoic Roman centurion, clad in detailed legionary armor, stands guard overlooking a bustling ancient marketplace, observing the crowd intently.

A mysterious figure in a trench coat and fedora walks silhouetted against a neon-lit alleyway, the rain reflecting off the wet pavement.

A mischievous fox character with exaggerated features and a sly grin tip-toes through a moonlit, enchanted forest, its tail swishing playfully.

A young woman with a thoughtful expression, her eyes gazing slightly off-camera, wearing a soft cashmere sweater. The light gently illuminates her face from the side, creating subtle shadows and highlighting the texture of her skin. Set against a blurred, warm-toned interior, perhaps a sunlit window in the background. Cinematic, shallow depth of field, natural light, 4K, realistic, emotional, quiet atmosphere.

A stylish man in a trench coat walks briskly down a bustling city street at dusk, reflections of neon lights shimmering on the wet pavement. He looks determined, with a slight smile playing on his lips. Dynamic camera following him from behind, then panning to a side profile. The scene is full of movement and energy, with blurred background elements suggesting speed. Cinematic, low light, urban, film grain, rain-slicked, energetic, vibrant, 8K.

Related Models

README

Kling V1.6 Text-to-Video Standard

Kling V1.6 Text-to-Video Standard is Kuaishou's reliable text-to-video generation model that creates high-quality videos from text descriptions. Generate smooth, cinematic videos with natural motion and excellent visual fidelity — perfect for content creators and marketers.

Why It Stands Out

  • High-quality generation: Produces detailed videos with natural motion and visual clarity.
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Negative prompt support: Exclude unwanted elements for cleaner 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.
  • Guidance control: Adjust how closely the output follows your prompt.

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 output.
guidance_scaleNoPrompt adherence strength (default: 0.5).
durationNoVideo length: 5 or 10 seconds (default: 5).

Supported Aspect Ratios

Aspect RatioBest For
16:9YouTube, widescreen displays
9:16TikTok, Instagram Stories, Reels
1:1Instagram posts, social media squares

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. Adjust guidance scale — higher values follow prompts more strictly.
  5. Set duration — choose 5 or 10 seconds.
  6. Click Run and wait for your video to generate.
  7. Preview and download the result.

Best Use Cases

  • Social Media Content — Create platform-optimized videos for TikTok, YouTube, Instagram.
  • Marketing & Advertising — Produce promotional videos and ad creatives.
  • Storytelling & Film — Generate cinematic scenes for short films and narratives.
  • Fantasy & Concept Art — Bring magical and fantastical scenes to life.
  • Music Videos — Create visual content for songs and audio tracks.

Pricing

DurationPrice
5 seconds$0.225
10 seconds$0.45

Pro Tips for Best Quality

  • Be detailed in your prompt — describe subject, action, environment, lighting, and mood.
  • Include style keywords like "magical realism," "cinematic," or "mystical tone."
  • Use negative prompts to reduce artifacts like blur or distortion.
  • Choose the right aspect ratio: 16:9 for widescreen, 9:16 for mobile, 1:1 for social squares.
  • Lower guidance scale (0.3–0.5) for more natural results, higher for strict prompt adherence.

Notes

  • Processing time varies based on duration and current queue load.
  • Please ensure your prompts comply with content guidelines.
Accessibility:This website uses AI models provided by third parties.

Kling v1.6 T2v Standard API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1.6-t2v-standard with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Kling v1.6 T2v Standard below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1.6-t2v-standard" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "16:9",
    "negative_prompt": "blurry, low quality, distorted",
    "guidance_scale": 0.5,
    "duration": 5
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("kwaivgi/kling-v1.6-t2v-standard", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "negative_prompt": "blurry, low quality, distorted",
        "guidance_scale": 0.5,
        "duration": 5
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-v1.6-t2v-standard",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "16:9",
    "negative_prompt": "blurry, low quality, distorted",
    "guidance_scale": 0.5,
    "duration": 5
}
)

print(output["outputs"][0])  # → URL of the generated output

Kling v1.6 T2v Standard API — Frequently asked questions

What is the Kling v1.6 T2v Standard API?

Kling v1.6 T2v Standard is a Kuaishou model for video generation, exposed as a REST API on WaveSpeedAI. Kling v1.6 boosts image-to-video quality by 195% over v1.5, with improved prompt understanding and richer physics-driven visual effects. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling v1.6 T2v Standard API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v1.6-t2v-standard.

How much does Kling v1.6 T2v Standard cost per run?

Kling v1.6 T2v Standard starts at $0.23 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Kling v1.6 T2v Standard accept?

Key inputs: `prompt`, `aspect_ratio`, `duration`, `guidance_scale`, `negative_prompt`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v1.6-t2v-standard.

How long does Kling v1.6 T2v Standard take to generate?

Average end-to-end generation time on WaveSpeedAI is around 308 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Kling v1.6 T2v Standard outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Kuaishou). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.