Kling V3.0 4K delivers top-tier 4K image-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and optional audio. Supports start/end frame control, multi-prompt, and element references. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
待機中
$2.11回あたり
rain falling, slight breathing motion, subtle head movement camera slow dolly in neon reflections shimmering
Kling V3.0 4K Image-to-Video is Kuaishou's premium image animation model delivering 4K output. Upload a reference image and describe the motion — the model generates cinematic video with superior detail, optional start-to-end frame guidance, and synchronized sound.
4K quality The highest visual fidelity and motion realism in the Kling V3.0 family.
Flexible duration Generate videos from 3 to 15 seconds.
Start-end frame guidance Optional end image for controlled transitions between two frames.
Sound generation Optional synchronized sound effects generated alongside the video.
Multi-prompt and element list support Chain prompt segments for scene transitions and lock in specific visual elements for consistency.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Start frame image to animate (URL or upload). |
| prompt | Yes | Text description of the desired motion and action. |
| negative_prompt | No | Elements to exclude from the video. |
| end_image | No | End frame image for guided transitions. |
| duration | No | Video length in seconds (3-15, default: 5). |
| cfg_scale | No | Prompt guidance strength (0-1, default: 0.5). |
| sound | No | Generate synchronized sound alongside the video. Default: disabled. |
| shot_type | No | Editing mode: customize (default) or intelligent. |
| multi_prompt | No | Additional prompts for complex scene compositions. |
| element_list | No | List of visual elements to maintain consistency throughout the clip. |
$0.42 per second of video, regardless of whether audio is on or off.
| Duration | Cost |
|---|---|
| 3s | $1.26 |
| 5s | $2.10 |
| 10s | $4.20 |
| 15s | $6.30 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-4k/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 v3.0 4k Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-4k/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",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"cfg_scale": 0.5,
"sound": false,
"shot_type": "customize"
}'
# 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-v3.0-4k/image-to-video", {
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"cfg_scale": 0.5,
"sound": false,
"shot_type": "customize"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"kwaivgi/kling-v3.0-4k/image-to-video",
{
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"cfg_scale": 0.5,
"sound": false,
"shot_type": "customize"
}
)
print(output["outputs"][0]) # → URL of the generated outputKling v3.0 4k Image To Video is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling V3.0 4K delivers top-tier 4K image-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and optional audio. Supports start/end frame control, multi-prompt, and element references. Ready-to-use REST inference API, best performance, no cold starts, 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-v3.0-4k-image-to-video.
Kling v3.0 4k Image To Video starts at $2.10 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`, `negative_prompt`, `cfg_scale`, `element_list`. 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-v3.0-4k-image-to-video.
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.
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.