Kling 4.0 API 文档

ModelPort 视频接口

Kling 4.0

kling-4.0 · Kling · 可调用状态以模型目录为准

面向连续画面与运动控制的视频生成模型。

请求参数

参数可选值默认值
duration3–30(整数)5
resolution720p / 1080p720p
aspect_ratio16:9 / 9:16 / 1:1 / 21:9 / auto16:9
generate_audio开启开启
n11

prompt 最多 10000 个字符。

图像输入模式跟随素材比例,aspect_ratio 使用 auto。

关键帧与命名主体

使用 first_frame、按顺序排列的 keyframe 和可选的 last_frame。最多 8 个中间帧,全部帧合计最多为时长秒数加 1,且最多 10 帧。提示词可用 @first_frame、@keyframe_1 或 @last_frame。视频兼容接口可用 keyframe_file_ids。

参考生成可直接传图片和视频,或为同一主体的素材填相同 subject,在提示词中用 @Mia 等名称引用。主体用 2 至 4 张图片或一段视频,可附一段音频。独立音色使用带主体名的 reference_audio。关键帧与参考素材需分开提交。带参考视频时,先用实际素材报价。

查询关键帧任务报价

curl "https://api.apimodel.store/v1/quotes" \
  -H "Authorization: Bearer $MODELPORT_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{"model":"kling-4.0","prompt":"Move the camera from @first_frame through @keyframe_1 to @last_frame.","parameters":{"duration":5,"resolution":"720p","aspect_ratio":"auto"},"references":[{"role":"first_frame","file_id":"REPLACE_WITH_FRAME_1_ID"},{"role":"keyframe","file_id":"REPLACE_WITH_FRAME_2_ID"},{"role":"last_frame","file_id":"REPLACE_WITH_FRAME_3_ID"}]}'

参考素材

图像输入

每次 1–10 份素材。

请求角色数量时长限制
first_frame1—
keyframe0–8—
last_frame0–1—

多素材参考

每次 1–15 项,每个命名主体算一项。

请求角色数量时长限制
reference_image0–10—
reference_video0–5—

上传后将返回的文件 ID 放入 references[].file_id,并用 references[].role 指定角色。

上传参考文件

调用示例

先设置 MODELPORT_API_KEY。cURL 示例使用 Bash 和 jq,Python 使用标准库,Node.js 示例保存为 .mjs 文件。示例会先获取报价,再提交生成任务。

cURL (Bash)

cURL (Bash)

set -eu
: "${MODELPORT_API_KEY:?Set MODELPORT_API_KEY}"
base='https://api.apimodel.store'
request='{"model":"kling-4.0","prompt":"A slow dolly shot along a sunlit riverside path.","parameters":{"duration":5,"resolution":"720p","aspect_ratio":"16:9","generate_audio":true,"n":1}}'
request_id=${MODELPORT_REQUEST_ID:-modelport-example-$(date +%s)-$$}

quote=$(curl --fail-with-body --max-time 45 -sS 'https://api.apimodel.store/v1/quotes' \
  -H "Authorization: Bearer $MODELPORT_API_KEY" \
  -H "Content-Type: application/json" --data "$request")
quoted_cap=$(printf '%s' "$quote" | jq -er '.billing_price_usd | strings')
cap=${MODELPORT_MAX_PRICE_USD:-$quoted_cap}
printf 'Request ID: %s, maximum charge: %s USD\n' "$request_id" "$cap" >&2
payload=$(printf '%s' "$request" | jq -ce --arg cap "$cap" '. + {max_price_usd: $cap}')

job=$(curl --fail-with-body --max-time 45 -sS "$base/v1/jobs" \
  -H "Authorization: Bearer $MODELPORT_API_KEY" -H "Idempotency-Key: $request_id" \
  -H "Content-Type: application/json" --data "$payload")
job_id=$(printf '%s' "$job" | jq -er '.id | strings')
printf 'Job ID: %s\n' "$job_id" >&2

attempt=0
while [ "$attempt" -lt 90 ]; do
  status=$(printf '%s' "$job" | jq -er '.status')
  case "$status" in succeeded|failed) break ;; esac
  sleep 2
  job=$(curl --fail-with-body --max-time 45 -sS "$base/v1/jobs/$job_id" -H "Authorization: Bearer $MODELPORT_API_KEY")
  attempt=$((attempt + 1))
done
printf '%s\n' "$job"
Python

Python

import json
import os
import time
import uuid
from urllib.request import Request, urlopen

BASE = "https://api.apimodel.store"
KEY = os.environ["MODELPORT_API_KEY"]
request_id = os.getenv("MODELPORT_REQUEST_ID") or str(uuid.uuid4())
payload = json.loads("{\"model\":\"kling-4.0\",\"prompt\":\"A slow dolly shot along a sunlit riverside path.\",\"parameters\":{\"duration\":5,\"resolution\":\"720p\",\"aspect_ratio\":\"16:9\",\"generate_audio\":true,\"n\":1}}")

def api(path, data=None, request_key=None):
    headers = {"Authorization": f"Bearer {KEY}"}
    if data is not None:
        headers["Content-Type"] = "application/json"
    if request_key:
        headers["Idempotency-Key"] = request_key
    body = json.dumps(data).encode("utf-8") if data is not None else None
    with urlopen(Request(BASE + path, data=body, headers=headers), timeout=45) as response:
        return json.load(response)

quote = api("/v1/quotes", payload)
cap = os.getenv("MODELPORT_MAX_PRICE_USD") or quote["billing_price_usd"]
print(f"Request ID: {request_id}, maximum charge: {cap} USD", flush=True)
job = api("/v1/jobs", {**payload, "max_price_usd": cap}, request_id)
job_id = job["id"]
print("Job ID:", job_id, flush=True)
for _ in range(90):
    if job["status"] in ("succeeded", "failed"):
        break
    time.sleep(2)
    job = api(f"/v1/jobs/{job_id}")
print(json.dumps(job, indent=2, ensure_ascii=False))
Node.js

Node.js

import { randomUUID } from "node:crypto";
import { setTimeout as sleep } from "node:timers/promises";

const base = "https://api.apimodel.store";
const key = process.env.MODELPORT_API_KEY;
if (!key) throw new Error("Set MODELPORT_API_KEY");
const requestId = process.env.MODELPORT_REQUEST_ID || randomUUID();
const payload = {
  "model": "kling-4.0",
  "prompt": "A slow dolly shot along a sunlit riverside path.",
  "parameters": {
    "duration": 5,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "generate_audio": true,
    "n": 1
  }
};

async function api(path, data, requestKey) {
  const headers = { Authorization: `Bearer ${key}` };
  if (data) headers["Content-Type"] = "application/json";
  if (requestKey) headers["Idempotency-Key"] = requestKey;
  const response = await fetch(base + path, {
    method: data ? "POST" : "GET", headers,
    body: data && JSON.stringify(data), signal: AbortSignal.timeout(45_000),
  });
  if (!response.ok) throw new Error(`${response.status} ${await response.text()}`);
  return response.json();
}

const quote = await api("/v1/quotes", payload);
const cap = process.env.MODELPORT_MAX_PRICE_USD || quote.billing_price_usd;
console.log(`Request ID: ${requestId}, maximum charge: ${cap} USD`);
let job = await api("/v1/jobs", { ...payload, max_price_usd: cap }, requestId);
const jobId = job.id;
console.log("Job ID:", jobId);
for (let attempt = 0; attempt < 90 && !["succeeded", "failed"].includes(job.status); attempt++) {
  await sleep(2_000);
  job = await api(`/v1/jobs/${jobId}`);
}
console.log(JSON.stringify(job, null, 2));

重试同一次提交时,保持请求参数一致,并用首次输出的值设置 MODELPORT_REQUEST_ID 和 MODELPORT_MAX_PRICE_USD。

提交 POST /v1/jobs 时复用相同请求,按报价填写 max_price_usd 并附唯一 Idempotency-Key。用任务 ID 查询结果和费用。