Grok Video API 接入文档

Authorization: Bearer <YOUR_API_KEY>

curl -X GET "https://img.gpt88.cc/v1/models" \
  -H "Authorization: Bearer <YOUR_API_KEY>"

curl -X POST "https://img.gpt88.cc/v1/video/generations" \
  -H "Authorization: Bearer <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-image-video",
    "prompt": "A cinematic shot of a red sports car driving through rainy neon streets at night",
    "seconds": 6,
    "aspect_ratio": "16:9",
    "resolution": "720p"
  }'

curl -X POST "https://img.gpt88.cc/v1/video/generations" \
  -H "Authorization: Bearer <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-image-video",
    "prompt": "Animate the product with a slow rotating camera, soft studio light, premium commercial style",
    "seconds": 6,
    "aspect_ratio": "9:16",
    "resolution": "720p",
    "image_urls": [
      "https://example.com/product.png"
    ]
  }'

{
  "model": "grok-image-video",
  "prompt": "Animate the product with a slow rotating camera",
  "seconds": 6,
  "aspect_ratio": "9:16",
  "resolution": "720p",
  "input_reference": {
    "image_url": "https://example.com/product.png"
  }
}

curl -X POST "https://img.gpt88.cc/v1/video/generations" \
  -H "Authorization: Bearer <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-image-video",
    "prompt": "Create a smooth product showcase video using these references, luxury lighting, clean background",
    "seconds": 10,
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "image_urls": [
      "https://example.com/ref-1.png",
      "https://example.com/ref-2.png"
    ]
  }'

curl -X POST "https://img.gpt88.cc/v1/video/generations" \
  -H "Authorization: Bearer <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-video-1.5",
    "prompt": "Use the reference image as the main subject and create a smooth cinematic motion",
    "seconds": 4,
    "aspect_ratio": "16:9",
    "resolution": "480p",
    "image_urls": [
      "https://example.com/reference.png"
    ]
  }'

{
  "id": "task_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
  "task_id": "task_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
  "object": "video",
  "model": "grok-image-video",
  "status": "queued",
  "progress": 0,
  "created_at": 1780000000
}

curl -X GET "https://img.gpt88.cc/v1/video/generations/task_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
  -H "Authorization: Bearer <YOUR_API_KEY>"

{
  "code": "success",
  "message": "",
  "data": {
    "task_id": "task_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
    "status": "IN_PROGRESS",
    "progress": "30%",
    "result_url": "",
    "fail_reason": ""
  }
}

{
  "code": "success",
  "message": "",
  "data": {
    "task_id": "task_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
    "status": "SUCCESS",
    "progress": "100%",
    "result_url": "https://example.com/generated-video.mp4",
    "fail_reason": ""
  }
}

{
  "code": "success",
  "message": "",
  "data": {
    "task_id": "task_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
    "status": "FAILURE",
    "progress": "100%",
    "result_url": "",
    "fail_reason": "Image URL could not be fetched: Fetching image failed with HTTP status 400 Bad Request."
  }
}

const BASE_URL = 'https://img.gpt88.cc'
const API_KEY = process.env.NEWAPI_API_KEY

function sleep(ms) {
  return new Promise((resolve) => setTimeout(resolve, ms))
}

function validateVideoRequest({ model, imageUrls }) {
  if (model === 'grok-video-1.5' && imageUrls.length !== 1) {
    throw new Error('grok-video-1.5 only supports exactly one reference image.')
  }

  if (model === 'grok-image-video' && imageUrls.length > 7) {
    throw new Error('grok-image-video supports at most 7 reference images.')
  }
}

async function createVideo({
  model = 'grok-image-video',
  prompt,
  seconds = 4,
  aspectRatio = '16:9',
  resolution = '720p',
  imageUrls = [],
}) {
  validateVideoRequest({ model, imageUrls })

  const body = {
    model,
    prompt,
    seconds,
    aspect_ratio: aspectRatio,
    resolution,
  }

  if (imageUrls.length > 0) {
    body.image_urls = imageUrls
    if (imageUrls.length >= 2 && Number(body.seconds) > 10) {
      body.seconds = 10
    }
  }

  const createResponse = await fetch(\`\${BASE_URL}/v1/video/generations\`, {
    method: 'POST',
    headers: {
      Authorization: \`Bearer \${API_KEY}\`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify(body),
  })

  const created = await createResponse.json()
  if (!createResponse.ok) {
    throw new Error(\`Video request failed: \${JSON.stringify(created)}\`)
  }

  const taskId = created.task_id || created.id
  if (!taskId) {
    throw new Error(\`No task_id returned: \${JSON.stringify(created)}\`)
  }

  for (let i = 0; i < 60; i += 1) {
    await sleep(5000)

    const pollResponse = await fetch(\`\${BASE_URL}/v1/video/generations/\${taskId}\`, {
      headers: {
        Authorization: \`Bearer \${API_KEY}\`,
      },
    })

    const result = await pollResponse.json()
    if (!pollResponse.ok) {
      throw new Error(\`Video poll failed: \${JSON.stringify(result)}\`)
    }

    const task = result.data
    if (task?.status === 'SUCCESS' && task.result_url) {
      return {
        task_id: task.task_id,
        video_url: task.result_url,
        raw_response: result,
      }
    }

    if (task?.status === 'FAILURE') {
      throw new Error(\`Video generation failed: \${task.fail_reason || JSON.stringify(result)}\`)
    }
  }

  throw new Error(\`Video generation timeout: \${taskId}\`)
}