API Seedance 2.0 Fast Reference-to-Video con supporto per esseri umani reali

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Esempi API

Esempio di invio

// 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;

Esempio di 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, ));
}

Esempio di invio

# 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[][]

Esempio di invio

# 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

Esempio di 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)

Esempio di 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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Esempi API

Esempio di invio

Esempio di polling

Esempio di invio

Esempio di invio

Esempio di polling

Esempio di polling

Altri articoli su Seedance 2.0 Fast Reference to Video

Modelli Seedance 2.0 Fast correlati

Modelli correlati

API Seedance V2.0 Fast Reference-to-Video veloce e conveniente

Funzionalità principali dell'API Seedance V2.0 Fast Reference-to-Video

Come usare l'API Seedance V2.0 Fast Reference-to-Video su Best Image AI

Migliori casi d'uso per l'integrazione dell'API Seedance V2.0 Fast Reference-to-Video

Seedance V2.0 Fast Reference-to-Video e concorrenti: analisi comparativa

Esempi API

Esempio di invio

Esempio di polling

Esempio di invio

Esempio di invio

Esempio di polling

Esempio di polling

Altri articoli su Seedance 2.0 Fast Reference to Video