API Seedance 2.0 Fast de referencia a video con soporte para humanos reales

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Ejemplos de API

Ejemplo de envio

// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model_name: 'seedance-v2.0-fast-reference-to-video',
    prompt: 'Use image one for the subject, follow the movement from video one, and use audio one for the atmosphere',
    resolution: '720p',
    duration: 8,
    aspect_ratio: '9:16',
    sound: true,
    images: ['https://example.com/subject-reference.jpg'],
    videos: ['https://example.com/motion-reference.mp4'],
    audios: ['https://example.com/atmosphere-reference.mp3']
  })
});

const { data } = await response.json();
const taskId = data.task_id;

// Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
// Placeholder numbering is 1-based for each media array:
// <<<image_1>>> = images[0], <<<image_2>>> = images[1]
// <<<video_1>>> = videos[0], <<<audio_1>>> = audios[0]
const mediaReferenceResponse = await fetch('https://api.flaq.ai/api/v1/video/task', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model_name: 'seedance-v2.0-fast-reference-to-video',
    prompt: 'Have the dancer from <<<image_1>>> perform the movement from <<<video_1>>> on the stage in <<<image_2>>>, using the rhythm from <<<audio_1>>>',
    resolution: '720p',
    duration: 10,
    aspect_ratio: '9:16',
    sound: true,
    images: [
      'https://example.com/dancer-reference.jpg',
      'https://example.com/stage-reference.jpg'
    ],
    videos: ['https://example.com/dance-movement-reference.mp4'],
    audios: ['https://example.com/rhythm-reference.mp3']
  })
});

const { data: mediaReferenceData } = await mediaReferenceResponse.json();
const mediaReferenceTaskId = mediaReferenceData.task_id;

Ejemplo de sondeo

// Step 2: Poll for results
const taskId = data.task_id;

const pollResult = async (taskId) => {
  const res = await fetch(`https://api.flaq.ai/api/v1/video/${taskId}`, {
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
  });
  return res.json();
};

while (true) {
  const pollResultData = await pollResult(taskId);
  const status = pollResultData.data.task_status;

  if (status === 'succeed') {
    console.log(pollResultData.data.task_result.videos[].);
    ;
  }

   (status === ) {
    .(pollResultData..);
    ;
  }

    ( (resolve, ));
}

Ejemplo de envio

# Step 1: Submit generation request
import requests

response = requests.post(
    'https://api.flaq.ai/api/v1/video/task',
    headers={
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
    },
    json={
        'model_name': ,
        : ,
        : ,
        : ,
        : ,
        : ,
        : [],
        : [],
        : []
    }
)

result = response.json()
task_id = result[][]





media_reference_response = requests.post(
    ,
    headers={
        : ,
        : 
    },
    json={
        : ,
        : ,
        : ,
        : ,
        : ,
        : ,
        : [
            ,
            
        ],
        : [],
        : []
    }
)

media_reference_result = media_reference_response.json()
media_reference_task_id = media_reference_result[][]

Ejemplo de envio

# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/video/task \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model_name": "seedance-v2.0-fast-reference-to-video",
    "prompt": "Use image one for the subject, follow the movement from video one, and use audio one for the atmosphere",
    "resolution": "720p",
    "duration": 8,
    "aspect_ratio": "9:16",
    "sound": true,
    "images": ["https://example.com/subject-reference.jpg"],
    "videos": ["https://example.com/motion-reference.mp4"],
    "audios": ["https://example.com/atmosphere-reference.mp3"]
  }'

# Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
# Placeholder numbering is 1-based for each media array:


curl -X POST https://api.flaq.ai/api/v1/video/task \
  -H  \
  -H  \
  -d

Ejemplo de sondeo

# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/video/{task_id}"

while True:
    poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
    status = poll_result['data']['task_status']
    if status == 'succeed':
        print(poll_result['data']['task_result']['videos'][0]['url'])
        break
    if status == 'failed':
        print(poll_result['data']['task_status_msg'])
        break
    time.sleep(10)

Ejemplo de sondeo

# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/video/{task_id}" \
  -H "Authorization: Bearer YOUR_API_KEY"

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Cómo usar la API Seedance V2.0 Fast Reference-to-Video en Best Image AI

Mejores casos de uso para la integración de la API Seedance V2.0 Fast Reference-to-Video

Seedance V2.0 Fast Reference-to-Video frente a la competencia: análisis comparativo

Ejemplos de API

Ejemplo de envio

Ejemplo de sondeo

Ejemplo de envio

Ejemplo de envio

Ejemplo de sondeo

Ejemplo de sondeo

Más artículos sobre Seedance 2.0 Fast Reference to Video

Modelos Seedance 2.0 Fast relacionados

Modelos relacionados

API rápida y asequible de Seedance V2.0 Fast Reference-to-Video

Características principales de la API Seedance V2.0 Fast Reference-to-Video

Cómo usar la API Seedance V2.0 Fast Reference-to-Video en Best Image AI

Mejores casos de uso para la integración de la API Seedance V2.0 Fast Reference-to-Video

Seedance V2.0 Fast Reference-to-Video frente a la competencia: análisis comparativo

Ejemplos de API

Ejemplo de envio

Ejemplo de sondeo

Ejemplo de envio

Ejemplo de envio

Ejemplo de sondeo

Ejemplo de sondeo

Más artículos sobre Seedance 2.0 Fast Reference to Video