Kling 3.0 Standard delivers high-quality image-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle
$0.42per run·~23 / $10
The young man in the denim shirt focuses intently on his notebook, his right hand moving steadily as he writes line by line with a black pen. His fingers grip the pen with slight natural adjustments. He occasionally pauses briefly, tilting his head slightly as if thinking, then resumes writing. The pages of the spiral notebook shift subtly with the pressure of his hand. In the blurred background, other students are also quietly studying, with minimal movement — turning a page, shifting posture. Soft, natural classroom lighting with gentle ambient sounds. Smooth, realistic motion, cinematic shallow depth of field. 4K, 24fps.
Kling V3.0 Standard Image-to-Video is Kuaishou's cost-efficient image-to-video model, animating still images into dynamic video at accessible pricing. Upload a reference image and describe the motion — the model generates smooth, cinematic video with optional start-to-end frame guidance and synchronized sound. Supports flexible duration from 3 to 15 seconds.
V3.0 quality at Standard pricing Strong visual quality and motion coherence at a fraction of Pro tier cost.
Flexible duration Generate videos from 3 to 15 seconds to match your scene needs.
Start-end frame guidance Optional end image for controlled transitions between two frames.
Sound generation Optional synchronized sound effects generated alongside the video.
Negative prompt support Specify what you don't want in the video for more precise control over the output.
Multi-prompt and element list support Chain prompt segments for scene transitions and lock in specific visual elements for consistency.
Prompt Enhancer Built-in tool to automatically improve your motion descriptions.
| 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. Range: 3–15. Default: 5. |
| cfg_scale | No | Prompt guidance strength. Default: 0.5. |
| sound | No | Generate synchronized sound alongside the video. Default: disabled. |
| shot_type | No | Editing mode: intelligent (default, auto-determines scope) or customize. |
| multi_prompt | No | Additional prompts for complex scene compositions. |
| element_list | No | List of visual elements to maintain consistency throughout the clip. |
| Duration | Without Sound | With Sound |
|---|---|---|
| 3s | $0.252 | $0.378 |
| 5s | $0.420 | $0.630 |
| 10s | $0.840 | $1.260 |
| 15s | $1.260 | $1.890 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-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 v3.0 Std Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-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",
"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-std/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-std/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 Std Image To Video is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling 3.0 Standard delivers high-quality image-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. 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-std-image-to-video.
Kling v3.0 Std Image To Video starts at $0.42 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-std-image-to-video.
Average end-to-end generation time on WaveSpeedAI is around 3347 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.