Kling Omni Video O3 Image-To-Video

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

kwaivgi/kling-video-o3/image-to-video. Explore APIs de modelos de imagem, vídeo e troca de rosto. Teste qualquer modelo e integre-o por uma API REST unificada.

Modelos relacionados

Kling Omni Video O3 Image-To-Video Modelos relacionados 1

Referência completa de parâmetros, esquema de saída e preços atuais

Marketplace de APIs de modelos de IAUma plataforma para tudoMais popularTermosExplore APIs de modelos de imagem, vídeo e troca de rosto. Teste qualquer modelo e integre-o por uma API REST unificada.
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——

Referência completa de parâmetros, esquema de saída e preços atuais

Saiba maisUma plataforma para tudoExplore APIs de modelos de imagem, vídeo e troca de rosto. Teste qualquer modelo e integre-o por uma API REST unificada.
videosarray<string>

API

Explore APIs de modelos de imagem, vídeo e troca de rosto. Teste qualquer modelo e integre-o por uma API REST unificada.

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);

Documentação da API

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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