Kling V2.1 I2V Pro Start End Frame

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Kling v2.1 I2V Pro Start-End Frame generates cinematic Image-to-Video clips with precise start/end frame control, enhanced visual fidelity, and dynamic camera motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video

Ввод

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Ожидание

$0.45за запуск·~22 / $10

ПримерыСмотреть всё

Pikachu turned around and put on a hat and sunglasses.

The dog ran forward, and finally turned into a Ghibli style.

The car is driving on the road, then changes color.

Camera pulls back，the beautiful woman shows a brilliant smile at the camera.

zoom in.

The girl turned around and handed her hand.

The girl is holding a camera.

Camera pulls back，the beautiful woman shows a brilliant smile at the camera.

Some butterflies suddenly flew around the girl.

The camera zooms out, and the boy puts on sunglasses.

README

Kling 2.1 Pro Start End Frame

Kling 2.1 Pro Start End Frame is a high-end extension of the Kling 2.1 image-to-video model, designed for professional creators seeking cinematic quality and control.

🎥 Key Features

Enhanced Visual Fidelity Delivers sharper details, refined lighting, and more realistic rendering.
Precise Camera Movements Supports complex tracking, dolly, pan, and zoom effects for narrative depth.
Dynamic Motion Control Allows fine-tuned control over character and object motion for high-impact storytelling.

🎬 Use Case

Perfect for creators, filmmakers, and studios aiming to generate cinematic sequences from images and prompts with a high degree of realism and directorial control.

Kling 2.1 Pro brings professional-grade visual storytelling to the next generation of generative video.

Доступность:Этот сайт использует модели ИИ, предоставляемые третьими лицами.

Kling v2.1 I2v Pro Start End Frame API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.1-i2v-pro/start-end-frame 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 v2.1 I2v Pro Start End Frame below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.1-i2v-pro/start-end-frame" \
  -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].

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-v2.1-i2v-pro/start-end-frame", {
        "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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-v2.1-i2v-pro/start-end-frame",
    {
    "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 output

Kling v2.1 I2v Pro Start End Frame API — Frequently asked questions

What is the Kling v2.1 I2v Pro Start End Frame API?

Kling v2.1 I2v Pro Start End Frame is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling v2.1 I2V Pro Start-End Frame generates cinematic Image-to-Video clips with precise start/end frame control, enhanced visual fidelity, and dynamic camera motion. 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 v2.1 I2v Pro Start End Frame 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-v2.1-i2v-pro-start-end-frame.

How much does Kling v2.1 I2v Pro Start End Frame cost per run?

Kling v2.1 I2v Pro Start End Frame starts at $0.45 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 v2.1 I2v Pro Start End Frame accept?

Key inputs: `prompt`, `image`, `duration`, `guidance_scale`, `negative_prompt`, `end_image`. 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-v2.1-i2v-pro-start-end-frame.

How long does Kling v2.1 I2v Pro Start End Frame take to generate?

Average end-to-end generation time on WaveSpeedAI is around 92 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 v2.1 I2v Pro Start End Frame 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.