Kling Omni Video O3 Image-To-Video
kwaivgi/kling-video-o3/image-to-video
kwaivgi/kling-video-o3/image-to-video. 이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다.
관련 모델
전체 매개변수, 출력 스키마 및 실시간 요금
| AI 모델 API 마켓 | 하나의 플랫폼, 모든 기능 | 가장 인기 | 이용약관 | 이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다. |
|---|---|---|---|---|
| image *Image | image_upload | — | 0–1 items | |
| last_imageEnd Image | image_upload | — | 0–1 items | |
| promptPrompt | textarea | — | ≤ 5000 chars | |
| resolutionGeneration Mode | select | 720P | 720P | 1080P | 4K | |
| durationDuration | select | 5 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | … | |
| soundSound | boolean | false | — | |
| multi_shotMulti Shot | boolean | — | — | |
| shot_typeShot Type | select | intelligence | customize | intelligence | |
| multi_promptMulti Prompt | array<object> | — | — | |
| ↳durationDuration | number | 5 | — | |
| ↳promptPrompt | text | — | — |
전체 매개변수, 출력 스키마 및 실시간 요금
| 자세히 보기 | 하나의 플랫폼, 모든 기능 | 이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다. |
|---|---|---|
| videos | array<string> |
API
이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-o3/image-to-video" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"image": [
"https://assets-public.namifusion.com/uploads/images/2026-04-14/5895345cd939.png"
],
"last_image": [
"https://assets-public.namifusion.com/uploads/images/2026-04-14/c98e7d7d7c2e.png"
],
"prompt": "Generate a dynamic video of a tranquil sunset scene transitioning into a starry night over the mountains, with realistic lighting and smooth motions.",
"resolution": "720P",
"duration": 5,
"sound": false,
"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-o3/image-to-video",
headers=HEADERS,
json={
"input": {
"image": [
"https://assets-public.namifusion.com/uploads/images/2026-04-14/5895345cd939.png"
],
"last_image": [
"https://assets-public.namifusion.com/uploads/images/2026-04-14/c98e7d7d7c2e.png"
],
"prompt": "Generate a dynamic video of a tranquil sunset scene transitioning into a starry night over the mountains, with realistic lighting and smooth motions.",
"resolution": "720P",
"duration": 5,
"sound": False,
"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-o3/image-to-video", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"image": [
"https://assets-public.namifusion.com/uploads/images/2026-04-14/5895345cd939.png"
],
"last_image": [
"https://assets-public.namifusion.com/uploads/images/2026-04-14/c98e7d7d7c2e.png"
],
"prompt": "Generate a dynamic video of a tranquil sunset scene transitioning into a starry night over the mountains, with realistic lighting and smooth motions.",
"resolution": "720P",
"duration": 5,
"sound": false,
"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);API 문서
Kling Omni Video O3 Image-To-Video
Transform static images into cinematic videos with natural motion and physics simulation.
Kling Omni Video O3 is a cutting-edge image-to-video model powered by MVL (Multi-modal Visual Language) technology. It generates dynamic, cinematic videos from static images, ensuring subject consistency while adding natural motion, physics-based dynamics, and seamless transitions. With optional audio generation and flexible durations, this model offers high-quality results at an affordable price point.
🚀 Key Features
- MVL Technology: Leverages Multi-modal Visual Language for realistic motion and scene dynamics.
- Subject Consistency: Ensures that the generated video maintains the integrity of the input image.
- Flexible Durations: Generate videos ranging from 3 to 15 seconds to suit your needs.
- Audio Support: Optionally generate synchronized sound effects for a more immersive experience.
- Start-to-End Frame Guidance: Use an optional end frame for controlled transitions between two states.
- Prompt Enhancer: Automatically refines motion descriptions for optimal results.
🛠️ Technical Specifications
| Parameter | Description | Options/Defaults |
|---|---|---|
| Model Architecture | MVL (Multi-modal Visual Language) | - |
| Input Format | Image URL, Prompt, Optional End Image | - |
| Output Format | Video (with optional audio) | - |
| Duration | Length of the generated video in seconds | 3–15 seconds (default: 5) |
| Resolution | Native 720P 1080P 4K | - |
| Sound | Option to generate synchronized audio | Disabled by default |
| Latency | Low latency, no cold starts | - |
Sample Prompts
- Prompt: "A serene forest scene with sunlight filtering through the trees, gentle camera pan."
- Prompt: "A futuristic cityscape at night with neon lights and flying vehicles."
💰 Pricing
| Type | 720P | 1080P | 4K |
|---|---|---|---|
| Without Sound | 0.0840 | 0.1120 | 0.4200 |
| With Sound | 0.1120 | 0.1400 | 0.4200 |
Billing Rules:
- Base Rate: Depends on resolution.
- Sound Surcharge: Approximately +33.3% premium for audio.
- Duration: 3–15 seconds.
💡 Best Use Cases
- Content Creation: Animate product shots, portraits, or concept art into engaging video clips.
- Social Media: Produce short-form animated content at scale without breaking the budget.
- Scene Transitions: Use start and end frames for smooth cinematic transitions.
- E-commerce: Bring product images to life with motion and environmental audio.
🔗 Related Models
- Kling Video O3 Pro Image-to-Video: Maximum visual quality with O3 Pro tier.
- Kling Video O3 Std Text-to-Video: Standard tier text-to-video generation.
- Kling Video O3 Pro Video Edit: Edit existing videos with natural-language instructions.
- Kling Video O3 Pro Reference-to-Video: Create videos guided by reference images for consistent character and style.
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