API Seedance 2.0 Fast Reference-to-Video com suporte a humanos reais

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Exemplos de API

Exemplo 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;

Exemplo de polling

// 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, ));
}

Exemplo 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[][]

Exemplo 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

Exemplo de polling

# 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)

Exemplo de polling

# 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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Exemplos de API

Exemplo de envio

Exemplo de polling

Exemplo de envio

Exemplo de envio

Exemplo de polling

Exemplo de polling

Mais artigos sobre Seedance 2.0 Fast Reference to Video

Modelos Seedance 2.0 Fast relacionados

Modelos relacionados

API rápida e acessível Seedance V2.0 Fast Reference-to-Video

Principais recursos da API Seedance V2.0 Fast Reference-to-Video

Como usar a API Seedance V2.0 Fast Reference-to-Video na Best Image AI

Melhores casos de uso da integração da API Seedance V2.0 Fast Reference-to-Video

Seedance V2.0 Fast Reference-to-Video vs. concorrentes: análise comparativa

Exemplos de API

Exemplo de envio

Exemplo de polling

Exemplo de envio

Exemplo de envio

Exemplo de polling

Exemplo de polling

Mais artigos sobre Seedance 2.0 Fast Reference to Video