Kling Omni Video O3 is Kuaishou's advanced unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Supports audio generation. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Idle
$0.56per run·~17 / $10
A glamorous woman in an elegant sparkling evening gown slowly walking down a grand staircase at a high-society gala. Camera flashes pop around her from the paparazzi. She holds her head high with confidence. Cinematic lighting, rich colors.
Kling Video O3 Pro is Kuaishou's flagship text-to-video model, delivering cinematic-quality video generation from natural language prompts. It combines physics-aware motion simulation, high temporal consistency, and optional synchronized audio generation to produce professional-grade video content from detailed text descriptions.
Cinematic-quality output Produces richly detailed, visually coherent video with professional-grade lighting, composition, and motion rendering.
Physics-aware motion Understands real-world dynamics — fluid movement, fabric, hair, and object interactions behave naturally and believably.
Synchronized audio generation Enable the sound option to generate matching ambient audio, sound effects, and atmosphere alongside your video.
Multi-prompt support Chain multiple prompt segments to guide scene transitions and narrative flow within a single generation.
Element list control Reference specific visual elements to maintain consistency in characters, objects, or stylistic details across the clip.
Flexible aspect ratios Supports multiple orientations including 16:9, 9:16, and 1:1 for social, cinematic, and square formats.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the scene, action, camera style, lighting, and mood. |
| aspect_ratio | No | Output aspect ratio. Options: 16:9, 9:16, 1:1. |
| duration | No | Clip length in seconds. Options: 5, 10. |
| sound | No | Whether to generate synchronized audio for the video. Default: off. |
| shot_type | No | Editing mode: intelligent (default, auto-determines scope) or customize. |
| multi_prompt | No | Additional prompt segments to guide scene progression and transitions. |
| element_list | No | List of specific visual elements to maintain across the generation. |
| Duration | Without Sound | With Sound |
|---|---|---|
| 5s | $0.56 | $0.70 |
| 10s | $1.12 | $1.40 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-pro/text-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 Video O3 Pro Text To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-pro/text-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 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-video-o3-pro/text-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 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-video-o3-pro/text-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"sound": false,
"shot_type": "customize"
}
)
print(output["outputs"][0]) # → URL of the generated outputKling Video O3 Pro Text To Video is a Kuaishou model for video generation, exposed as a REST API on WaveSpeedAI. Kling Omni Video O3 is Kuaishou's advanced unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Supports audio generation. Ready-to-use REST 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-video-o3-pro-text-to-video.
Kling Video O3 Pro Text To Video starts at $0.56 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`, `aspect_ratio`, `duration`, `element_list`, `multi_prompt`, `shot_type`. 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-video-o3-pro-text-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.