图片与视频生成

curl https://matrix.000328.xyz/v1/images/generations \
  -H "Authorization: Bearer sk-你的Token" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-image",
    "prompt": "A red apple on a white table",
    "n": 1,
    "response_format": "url"
  }'

{
  "created": 1781854966,
  "data": [
    { "url": "https://imgen.x.ai/xai-imgen/xai-tmp-imgen-xxxx.jpeg" }
  ],
  "usage": { "cost_in_usd_ticks": 200000000 }
}

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的Token",
    base_url="https://matrix.000328.xyz/v1"
)

result = client.images.generate(
    model="grok-imagine-image",
    prompt="A red apple on a white table",
    n=1,
    response_format="url"
)

print("图片地址:", result.data[0].url)

curl -X POST https://matrix.000328.xyz/v1/video/generations \
  -H "Authorization: Bearer sk-你的Token" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-video",
    "prompt": "Ocean waves crashing on rocks at sunset, cinematic slow motion",
    "seconds": "4"
  }'

{
  "task_id": "task_mrviW8iu7Y6ij9TKaJQoX5KWCCcgpomb",
  "id": "task_mrviW8iu7Y6ij9TKaJQoX5KWCCcgpomb",
  "object": "video",
  "model": "grok-imagine-video",
  "status": "queued",
  "seconds": "4",
  "size": "720x1280",
  "created_at": 1781857021
}

curl https://matrix.000328.xyz/v1/video/generations/{task_id} \
  -H "Authorization: Bearer sk-你的Token"

{
  "code": "success",
  "data": {
    "task_id": "task_mrviW8iu...",
    "status": "SUCCESS",
    "progress": "100%",
    "result_url": "https://vidgen.x.ai/xai-vidgen-bucket/xai-video-xxxx.mp4",
    "data": {
      "status": "done",
      "video": {
        "url": "https://vidgen.x.ai/xai-vidgen-bucket/xai-video-xxxx.mp4",
        "duration": 4
      }
    }
  }
}

import time
import requests

BASE = "https://matrix.000328.xyz"
HEADERS = {
    "Authorization": "Bearer sk-你的Token",
    "Content-Type": "application/json"
}

# 1. 提交
r = requests.post(f"{BASE}/v1/video/generations", headers=HEADERS,
                  json={"model": "grok-imagine-video",
                        "prompt": "a dog running on the beach",
                        "seconds": "4"})
task_id = r.json()["task_id"]
print(f"任务已提交: {task_id}")

# 2. 轮询
for _ in range(30):
    time.sleep(8)
    data = requests.get(f"{BASE}/v1/video/generations/{task_id}",
                        headers=HEADERS).json()["data"]
    status = data["status"]
    print(f"状态: {status}")
    if status == "SUCCESS":
        url = data["result_url"]
        print("视频地址:", url)
        # 3. 下载
        with open("output.mp4", "wb") as f:
            f.write(requests.get(url).content)
        print("已保存为 output.mp4")
        break
    elif status == "FAILURE":
        print("生成失败:", data.get("fail_reason"))
        break