Kling 1.6 is an Image-to-Video model with 195% improvement over 1.5, with improved prompt understanding, physics and visual effects. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.25per run·~40 / $10
The woman walks forward
Homem andando em direção à câmera
A woman is dancing
The woman is smiling
Children happily chase bubbles and try to pop them
The camera zooms in, the man naturally opens his arms, glasses gazing into the distance, high quality, 4k
A giant fox made of glowing crystals, running through a magical forest at night, leaving a trail of sparkling particles behind it. The plants in the forest also emit a soft glow, creating a mysterious and dreamlike atmosphere.
An ancient castle floating on a sea of clouds, with waterfalls pouring from the castle's edge into the clouds. A giant white dragon takes off from one of the castle's towers and soars upward. Use a wide-angle long shot, soft golden light, to create a serene and majestic atmosphere.
A child in a raincoat, stomping in puddles on a city street after the rain, splashing ripples in a circle. The reflection of streetlights shimmers on the wet pavement. Low-angle shot, neon lighting, creating a warm and nostalgic atmosphere.
A majestic white horse, galloping across a vast, snow-covered plain, its hooves kicking up flurries of snow. Tracking side view, soft overcast lighting, the scene presents a serene and mystical mood.
Massive colorful flowers hang overhead. Slowly panning camera, soft pastel-colored lighting, a lively and magical atmosphere.
A lonely lighthouse, standing firm against a furious ocean storm. Crashing waves engulf its base, and lightning flashes across the dark sky. Dramatic long shot, intense stormy lighting, powerful and isolated atmosphere.
A playful puppy, excitedly chasing a rolling ball across a lush green park. Its ears flap in the wind, and its tail wags furiously. Low-angle tracking shot, bright daylight, energetic and cheerful ambiance.
A whimsical hot air balloon, shaped like a friendly dragon, gracefully ascending over a vibrant, blooming valley. Sunlight bathes the scene, illuminating the intricate patterns of the dragon's scales. Wide panoramic shot, soft morning glow, fairytale-like atmosphere.
Kling V1.6 Image-to-Video Standard is Kuaishou's reliable image-to-video generation model that transforms static images into dynamic videos with smooth, natural motion. Upload an image, describe the action, and watch your photo come to life.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of desired motion and action. |
| image | Yes | Source image to animate (upload or public URL). |
| negative_prompt | No | Elements to avoid in the output. |
| guidance_scale | No | Prompt adherence strength (default: 0.5). |
| duration | No | Video length in seconds (default: 5). |
| Duration | Price |
|---|---|
| 5 seconds | $0.25 |
| 10 seconds | $0.50 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1.6-i2v-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 I2v Standard below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1.6-i2v-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",
"image": "https://example.com/your-input.jpg",
"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].// 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-i2v-standard", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"guidance_scale": 0.5,
"duration": 5
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"kwaivgi/kling-v1.6-i2v-standard",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"guidance_scale": 0.5,
"duration": 5
}
)
print(output["outputs"][0]) # → URL of the generated outputKling v1.6 I2v Standard is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling 1.6 is an Image-to-Video model with 195% improvement over 1.5, with improved prompt understanding, physics and 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.
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-i2v-standard.
Kling v1.6 I2v Standard starts at $0.25 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.
Key inputs: `prompt`, `image`, `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-i2v-standard.
Average end-to-end generation time on WaveSpeedAI is around 114 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.