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Kling V3 Turbo Standard Image to Video API

kwaivgi /

Kling V3 Turbo Standard Image to Video converts first-frame images and optional prompts into 720P videos, with single-prompt generation and multi-shot storyboard support. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
Entrée

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En attente

$0.112par exécution·~89 / $10

Suivant :

ExemplesTout voir

He lifts the noodles with chopsticks as steam curls around his face. Raindrops slide down the window, neon signs blink outside, and the camera shifts from the ramen bowl to his tired expression.

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README

Kling V3 Turbo Standard Image-to-Video

Kling V3 Turbo Standard Image-to-Video generates fast, affordable 720p videos from a first-frame reference image. It supports optional text guidance and multi-shot storyboard generation.

Why Choose This?

  • First-frame image animation
    Turn a still image into a video using the image as the starting frame.

  • Fast 720p output
    Use the standard model for efficient image-to-video generation.

  • Lower cost generation
    Create and iterate on image-driven videos at a lower per-second price.

  • Multi-shot storyboard support
    Use multi_prompt to define multiple prompted segments with separate durations.

  • Standard video output
    The generated video is returned as a URL in the standard WaveSpeed prediction response.

Parameters

ParameterRequiredDescription
imageYesFirst-frame reference image URL. JPG and PNG images work best.
promptNoOptional text prompt to guide the generated video. Mutually exclusive with multi_prompt.
multi_promptNoMulti-shot storyboard. Each item includes a prompt and duration. Mutually exclusive with prompt.
durationNoVideo duration in seconds for single-prompt generation. Options: 3 to 15. Default: 5.

How to Use

  1. Upload an image — Provide the first-frame reference image.
  2. Enter a prompt (optional) — Describe the desired motion, camera movement, or scene change.
  3. Or create a storyboard — Use multi_prompt to define multiple prompted segments.
  4. Set duration — Choose the video duration for single-prompt generation, or set durations per shot in multi_prompt.
  5. Submit — Generate the animated video output.

Output

Returns generated video URL(s) in the standard WaveSpeed prediction response.

The generated video is returned as MP4 video.

Pricing

Pricing is $0.112 per second.

WaveSpeed bills by the generated video duration. If multi_prompt is provided, billing uses the selected duration plus the sum of all segment durations.

Generated DurationPrice
3s$0.336
5s$0.56
10s$1.12
15s$1.68

Billing Rules

  • Billing is based on generated video duration.
  • Single-prompt requests use the duration parameter.
  • multi_prompt requests use duration plus the sum of all segment durations.
  • Each second costs $0.112.

Best Use Cases

  • Image animation — Animate still images into short video clips.
  • Affordable video drafts — Test image-to-video ideas at lower cost.
  • Product motion concepts — Create motion previews from product or object images.
  • Character and scene animation — Add movement to portraits, scenes, or illustrated frames.
  • Storyboard generation — Build multi-shot videos from one starting image.

Pro Tips

  • Use a sharp, high quality image with a clear subject.
  • Add motion and camera details in the prompt for stronger control.
  • Use multi_prompt when you want multiple guided segments.
  • Keep total multi_prompt duration within the model limit.
  • Make sure the image URL is publicly accessible.

Notes

  • image is required.
  • prompt is optional.
  • prompt and multi_prompt are mutually exclusive.
  • duration is used for single-prompt generation.
  • multi_prompt supports per-shot durations.
  • The total generated duration must not exceed 15 seconds.
Accessibilité :Ce site utilise des modèles d'IA fournis par des tiers.

Kling v3 Turbo Std Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3-turbo-std/image-to-video 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 v3 Turbo Std Image To Video below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3-turbo-std/image-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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-v3-turbo-std/image-to-video", {
        "image": "https://example.com/your-input.jpg",
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "duration": "5"
});

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

output = wavespeed.run(
    "kwaivgi/kling-v3-turbo-std/image-to-video",
    {
    "image": "https://example.com/your-input.jpg",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": "5"
}
)

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

Kling v3 Turbo Std Image To Video API — Frequently asked questions

What is the Kling v3 Turbo Std Image To Video API?

Kling v3 Turbo Std Image To Video is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling V3 Turbo Standard Image to Video converts first-frame images and optional prompts into 720P videos, with single-prompt generation and multi-shot storyboard support. 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 v3 Turbo Std Image To Video 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-v3-turbo-std-image-to-video.

How much does Kling v3 Turbo Std Image To Video cost per run?

Kling v3 Turbo Std Image To Video starts at $0.11 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 v3 Turbo Std Image To Video accept?

Key inputs: `prompt`, `image`, `duration`, `multi_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-v3-turbo-std-image-to-video.

How do I get started with the Kling v3 Turbo Std Image To Video API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Kling v3 Turbo Std Image To Video 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.