Kling Omni Video O1 Text-To-Video
kwaivgi/kling-video-o1/text-to-video
Kling Omni Video O1 is Kuaishou's first 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. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Examples
Parameters
| Name | Type | Default | Constraints | Description |
|---|---|---|---|---|
| prompt *Prompt | textarea | — | ≤ 5000 chars | The positive prompt for the generation. |
| resolutionGeneration Mode | select | 720P | 720P | 1080P | |
| aspect_ratioAspect Ratio | select | 16:9 | 16:9 | 9:16 | 1:1 | The aspect ratio of the generated video. |
| durationDuration | select | 5 | 5 | 10 | The duration of the generated media in seconds (3-15). |
| soundSound | boolean | false | — | Whether to generate audio for the video. |
| multi_shotMulti Shot | boolean | — | — | Whether to generate multi-shot video When true: the prompt parameter is invalid. When false: the shot_type and multi_prompt parameters are invalid |
| shot_typeShot Type | select | — | customize | intelligence | Shot type for the generation. |
| multi_promptMulti Prompt | array<object> | — | — | List of multi-prompt elements for the generation. |
| ↳durationDuration | number | 5 | — | The duration of this shot in seconds. |
| ↳promptPrompt | text | — | — | The prompt for this shot. |
API
Call this model through one unified REST API. Get a key on the API Keys page.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-o1/text-to-video" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"prompt": "A serene mountain landscape at sunrise, with golden light reflecting off the peaks and a gentle river flowing through the valley.",
"resolution": "720P",
"aspect_ratio": "16:9",
"duration": 10,
"sound": true,
"shot_type": "intelligence"
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-o1/text-to-video",
headers=HEADERS,
json={
"input": {
"prompt": "A serene mountain landscape at sunrise, with golden light reflecting off the peaks and a gentle river flowing through the valley.",
"resolution": "720P",
"aspect_ratio": "16:9",
"duration": 10,
"sound": True,
"shot_type": "intelligence"
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-o1/text-to-video", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"prompt": "A serene mountain landscape at sunrise, with golden light reflecting off the peaks and a gentle river flowing through the valley.",
"resolution": "720P",
"aspect_ratio": "16:9",
"duration": 10,
"sound": true,
"shot_type": "intelligence"
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);Documentation
Kling Video O1 Text-to-Video API
Cinematic Video Generation with Multi-modal Visual Language Technology
Kling Video O1 is Kuaishou's first unified multi-modal video model, powered by MVL (Multi-modal Visual Language) technology. This cutting-edge model transforms text prompts into cinematic-quality videos with subject consistency, natural physics simulation, and precise semantic understanding. With no cold starts and affordable pricing, Kling Video O1 is ready for seamless integration into your creative workflows.
🚀 Key Features
- Multi-modal Visual Language (MVL): Revolutionary technology that interprets text, images, and visual references to generate cohesive and dynamic video content.
- Cinematic Quality: Produces film-grade videos with realistic lighting, motion, and scene dynamics.
- Physics-aware Simulation: Ensures natural movement and accurate physical interactions within generated scenes.
- Subject Consistency: Maintains stable character, prop, and scene features across varying shots for professional-grade results.
- Flexible Outputs: Supports multiple aspect ratios (16:9, 9:16, 1:1) and durations (5 or 10 seconds).
🛠️ Technical Specifications
| Parameter | Type | Default | Options | Description |
|---|---|---|---|---|
| Prompt | String | - | - | The positive prompt for the generation. |
| Aspect Ratio | String | 16:9 | 16:9, 9:16, 1:1 | Aspect ratio of the generated video. |
| Duration | Integer | 5 | 5, 10 | Duration of the generated video in seconds. |
💰 Pricing
| Attribute | 720P | 1080P |
|---|---|---|
| No Reference Video | 0.0840 | 0.1120 |
| With Reference Video | 0.1260 | 0.1680 |
Billed per second of output video duration.
💡 Best Use Cases
- E-commerce: Create engaging product showcase videos with cinematic quality.
- Social Media: Generate eye-catching short videos tailored for platforms like Instagram and TikTok.
- Film Production: Rapidly prototype scenes or generate filler shots with professional-grade consistency.
- Advertising: Produce high-impact promotional content with precise semantic alignment to your campaign.
🔗 Related Models
- Kling Video O1 Video Edit: Ideal for modifying and enhancing existing video content.
- Kling Video O1 Std Video Edit: A streamlined version for basic editing tasks.
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