SDKs y Ejemplos de Código

La Seedance 2.0 API utiliza una interfaz REST estándar. A continuación se presentan ejemplos completos de integración en lenguajes populares.

URL Base

https://api.evolink.ai

Python

import requests
import time

API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.evolink.ai"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# 1. Create a video generation task
response = requests.post(
    f"{BASE_URL}/v1/videos/generations",
    headers=headers,
    json={
        "model": "seedance-2.0",
        "prompt": "A sunset over the ocean, cinematic wide shot",
        "duration": 5,
        "quality": "1080p",
        "aspect_ratio": "16:9"
    }
)

task = response.json()
task_id = task["id"]
print(f"Task created: {task_id}")

# 2. Poll for completion
while True:
    status = requests.get(
        f"{BASE_URL}/v1/tasks/{task_id}",
        headers=headers
    )
    result = status.json()

    if result["status"] == "completed":
        print(f"Video URL: {result['results'][0]}")
        break
    elif result["status"] == "failed":
        print("Generation failed")
        break

    print(f"Progress: {result['progress']}%")
    time.sleep(5)

Node.js

const API_KEY = "YOUR_API_KEY";
const BASE_URL = "https://api.evolink.ai";

const headers = {
    "Authorization": `Bearer ${API_KEY}`,
    "Content-Type": "application/json"
};

// 1. Create a video generation task
const createRes = await fetch(`${BASE_URL}/v1/videos/generations`, {
    method: "POST",
    headers,
    body: JSON.stringify({
        model: "seedance-2.0",
        prompt: "A sunset over the ocean, cinematic wide shot",
        duration: 5,
        quality: "1080p",
        aspect_ratio: "16:9"
    })
});

const task = await createRes.json();
const taskId = task.id;
console.log(`Task created: ${taskId}`);

// 2. Poll for completion
const poll = async () => {
    while (true) {
        const statusRes = await fetch(`${BASE_URL}/v1/tasks/${taskId}`, { headers });
        const result = await statusRes.json();

        if (result.status === "completed") {
            console.log(`Video URL: ${result.results[0]}`);
            return;
        }
        if (result.status === "failed") {
            console.log("Generation failed");
            return;
        }

        console.log(`Progress: ${result.progress}%`);
        await new Promise(r => setTimeout(r, 5000));
    }
};

await poll();

cURL

# 1. Create a video generation task
curl -X POST https://api.evolink.ai/v1/videos/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2.0",
    "prompt": "A sunset over the ocean, cinematic wide shot",
    "duration": 5,
    "quality": "1080p"
  }'

# Response: {"id": "task-unified-...", "status": "pending", ...}

# 2. Check task status
curl https://api.evolink.ai/v1/tasks/TASK_ID \
  -H "Authorization: Bearer YOUR_API_KEY"

# When completed: {"status": "completed", "results": ["https://...mp4"], ...}

Ejemplo de Imagen-a-Video

# Animate a single image
response = requests.post(
    f"{BASE_URL}/v1/videos/generations",
    headers=headers,
    json={
        "model": "seedance-2.0",
        "prompt": "The woman turns her head slowly, hair flowing in the wind",
        "image_urls": ["https://example.com/portrait.jpg"],
        "duration": 5,
        "quality": "1080p"
    }
)

Ejemplo de Primer-Último-Fotograma

# Generate transition between two keyframes
response = requests.post(
    f"{BASE_URL}/v1/videos/generations",
    headers=headers,
    json={
        "model": "seedance-2.0",
        "prompt": "Smooth camera pan revealing the landscape",
        "image_urls": [
            "https://example.com/frame-start.jpg",
            "https://example.com/frame-end.jpg"
        ],
        "duration": 8,
        "quality": "1080p"
    }
)

Ejemplo Multimodal

# Combine image, video, and audio references with @tags
response = requests.post(
    f"{BASE_URL}/v1/videos/generations",
    headers=headers,
    json={
        "model": "seedance-2.0",
        "prompt": "@Image1 as first frame, replicate @Video1 camera movement, @Audio1 for BGM rhythm. A cinematic night cityscape.",
        "image_urls": ["https://example.com/scene.jpg"],
        "video_urls": ["https://example.com/camera-ref.mp4"],
        "audio_urls": ["https://example.com/bgm.mp3"],
        "duration": 10,
        "quality": "1080p"
    }
)

Con Callback URL

# Use callback_url instead of polling
response = requests.post(
    f"{BASE_URL}/v1/videos/generations",
    headers=headers,
    json={
        "model": "seedance-2.0",
        "prompt": "A cat playing piano",
        "callback_url": "https://yourapp.com/api/video-callback"
    }
)
# Your callback endpoint will receive the task result when complete

Compatible con OpenAI

La API sigue las convenciones compatibles con OpenAI. Puede utilizar las bibliotecas de cliente HTTP existentes — solo configure la URL base como https://api.evolink.ai.

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