Kling Omni Video O3 Image-To-Video

kwaivgi/kling-video-o3/image-to-video

kwaivgi/kling-video-o3/image-to-video. Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

İlgili modeller

Kling Omni Video O3 Image-To-Video İlgili modeller 1

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Yapay zeka model API pazarıTek platformda her şeyEn popülerKoşullarGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
image *Imageimage_upload—0–1 items
last_imageEnd Imageimage_upload—0–1 items
promptPrompttextarea—≤ 5000 chars
resolutionGeneration Modeselect720P720P | 1080P | 4K
durationDurationselect53 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | …
soundSoundbooleanfalse—
multi_shotMulti Shotboolean——
shot_typeShot Typeselectintelligencecustomize | intelligence
multi_promptMulti Promptarray<object>——
↳durationDurationnumber5—
↳promptPrompttext——

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Daha fazla bilgiTek platformda her şeyGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
videosarray<string>

API

Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

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 belgeleri

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

ParameterDescriptionOptions/Defaults
Model ArchitectureMVL (Multi-modal Visual Language)-
Input FormatImage URL, Prompt, Optional End Image-
Output FormatVideo (with optional audio)-
DurationLength of the generated video in seconds3–15 seconds (default: 5)
ResolutionNative 720P 1080P 4K-
SoundOption to generate synchronized audioDisabled by default
LatencyLow latency, no cold starts-

Sample Prompts

  1. Prompt: "A serene forest scene with sunlight filtering through the trees, gentle camera pan."
  2. Prompt: "A futuristic cityscape at night with neon lights and flying vehicles."

💰 Pricing

Type720P1080P4K
Without Sound0.08400.11200.4200
With Sound0.11200.14000.4200

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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