爆更API 接口文档

import time, json, urllib.request

BASE  = "https://api.baogeng.vip"
TOKEN = "sk-你的令牌"

def call(method, path, body=None):
    data = json.dumps(body).encode() if body else None
    req = urllib.request.Request(
        BASE + path, data=data, method=method,
        headers={"Authorization": f"Bearer {TOKEN}",
                 "Content-Type": "application/json"})
    with urllib.request.urlopen(req, timeout=60) as r:
        return json.loads(r.read())

# 1) 提交任务
task = call("POST", "/v1/videos", {
    "model": "qs-hp-wan3-720p",
    "input": {"prompt": "一只橘猫在窗台上看雨，电影感，浅景深"},
    "parameters": {"resolution": "720P", "ratio": "16:9", "duration": 5},
})
task_id = task.get("id") or task.get("task_id")
print("任务已提交:", task_id)

# 2) 轮询直到完成
while True:
    time.sleep(5)
    r = call("GET", f"/v1/videos/{task_id}")
    status = r.get("status")
    if status in ("completed", "succeeded"):
        print("成片地址:", r.get("video_url"))
        break
    if status in ("failed", "error"):
        print("生成失败:", r.get("error"))
        break
    print("处理中…", r.get("progress", 0))

# 1) 提交任务
curl -X POST https://api.baogeng.vip/v1/videos \
  -H "Authorization: Bearer sk-你的令牌" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qs-hp-wan3-720p",
    "input": { "prompt": "一只橘猫在窗台上看雨，电影感，浅景深" },
    "parameters": { "resolution": "720P", "ratio": "16:9", "duration": 5 }
  }'

# 返回 {"id":"task_xxx","status":"processing",...}

# 2) 轮询（每 5 秒一次，直到 status 变成 completed）
curl https://api.baogeng.vip/v1/videos/task_xxx \
  -H "Authorization: Bearer sk-你的令牌"

const BASE = 'https://api.baogeng.vip'
const TOKEN = 'sk-你的令牌'
const H = { 'Authorization': `Bearer ${TOKEN}`, 'Content-Type': 'application/json' }

// 1) 提交
const task = await fetch(BASE + '/v1/videos', {
  method: 'POST', headers: H,
  body: JSON.stringify({
    model: 'qs-hp-wan3-720p',
    input: { prompt: '一只橘猫在窗台上看雨，电影感，浅景深' },
    parameters: { resolution: '720P', ratio: '16:9', duration: 5 },
  }),
}).then(r => r.json())

// 2) 轮询
let res
do {
  await new Promise(r => setTimeout(r, 5000))
  res = await fetch(`${BASE}/v1/videos/${task.id}`, { headers: H }).then(r => r.json())
} while (!['completed', 'failed'].includes(res.status))

console.log(res.status === 'completed' ? res.video_url : res.error)

Authorization: Bearer sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

curl https://api.baogeng.vip/v1/models \
  -H "Authorization: Bearer sk-你的令牌"

import json, urllib.request

req = urllib.request.Request("https://api.baogeng.vip/v1/models",
    headers={"Authorization": "Bearer sk-你的令牌"})
models = json.load(urllib.request.urlopen(req))["data"]
for m in models:
    print(m["id"], m.get("supported_endpoint_types"))

{
  "data": [
    {
      "id": "qs-hp-wan3-720p",
      "object": "model",
      "created": 1626777600,
      "owned_by": "task plugin",
      "supported_endpoint_types": ["openai"]
    },
    {
      "id": "gpt-image-2",
      "object": "model",
      "created": 1626777600,
      "owned_by": "openai",
      "supported_endpoint_types": ["image-generation", "openai"]
    }
  ]
}

{
  "id": "task_8f3a1c9e2b",
  "task_id": "task_8f3a1c9e2b",
  "status": "processing",
  "progress": 0,
  "created_at": 1767225600
}

{
  "id": "task_8f3a1c9e2b",
  "status": "processing",
  "progress": 45
}

{
  "id": "task_8f3a1c9e2b",
  "status": "completed",
  "progress": 100,
  "video_url": "https://video.example.com/xxx.mp4",
  "duration": 5,
  "resolution": "720p"
}

curl -L https://api.baogeng.vip/v1/videos/task_8f3a1c9e2b/content \
  -H "Authorization: Bearer sk-你的令牌" \
  -o out.mp4

{
  "model": "qs-hp-wan3-720p",
  "input": {
    "prompt": "让画面里的人转身微笑",
    "media": [
      { "type": "reference_image", "url": "https://cdn.example.com/a.jpg" },
      { "type": "first_frame",       "url": "https://cdn.example.com/first.jpg" },
      { "type": "last_frame",        "url": "https://cdn.example.com/last.jpg" },
      { "type": "reference_video", "url": "https://cdn.example.com/ref.mp4" },
      { "type": "reference_audio", "url": "https://cdn.example.com/voice.mp3" }
    ]
  },
  "parameters": { "duration": 5, "resolution": "720P" }
}

curl -X POST https://api.baogeng.vip/v1/images/generations \
  -H "Authorization: Bearer sk-你的令牌" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "赛博朋克风格的城市夜景，霓虹雨夜，电影构图",
    "size": "1024x1024",
    "quality": "high",
    "n": 1
  }'

import json, urllib.request

body = json.dumps({
    "model": "gpt-image-2",
    "prompt": "赛博朋克风格的城市夜景，霓虹雨夜，电影构图",
    "size": "1024x1024",
    "quality": "high",
    "n": 1,
}).encode()

req = urllib.request.Request("https://api.baogeng.vip/v1/images/generations",
    data=body, method="POST",
    headers={"Authorization": "Bearer sk-你的令牌",
             "Content-Type": "application/json"})

res = json.load(urllib.request.urlopen(req, timeout=180))
for item in res["data"]:
    print(item.get("url") or item.get("b64_json")[:40] + "…")

{
  "created": 1767225600,
  "data": [
    { "url": "https://.../image.png" }
  ]
}

{
  "error": {
    "code": "model_not_found",
    "message": "No available channel for model xxx under group default (request id: ...)",
    "type": "new_api_error"
  }
}