curl -X GET "https://cloud.comfy.org/api/user" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY"

import os
import json
import asyncio
import aiohttp

BASE_URL = "https://cloud.comfy.org"
API_KEY = os.environ["COMFY_CLOUD_API_KEY"]

async def submit_workflow(session, workflow):
    """提交单个工作流并返回 prompt_id。"""
    async with session.post(
        f"{BASE_URL}/api/prompt",
        headers={"X-API-Key": API_KEY, "Content-Type": "application/json"},
        json={"prompt": workflow},
    ) as response:
        result = await response.json()
        return result["prompt_id"]

async def main():
    with open("workflow_api.json") as f:
        base_workflow = json.load(f)

    # 通过更改种子创建变体
    workflows = []
    for seed in [42, 123, 456]:
        workflow = json.loads(json.dumps(base_workflow))
        workflow["3"]["inputs"]["seed"] = seed
        workflows.append(workflow)

    # 并发提交所有工作流
    async with aiohttp.ClientSession() as session:
        prompt_ids = await asyncio.gather(
            *[submit_workflow(session, wf) for wf in workflows]
        )

    for pid in prompt_ids:
        print(f"Job submitted: {pid}")

    # 使用轮询或 WebSocket 监控每个任务...

asyncio.run(main())

curl -X POST "https://cloud.comfy.org/api/prompt" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": '"$(cat workflow_api.json)"'}'

# 轮询任务完成状态
curl -X GET "$BASE_URL/api/job/{prompt_id}/status" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY"

# 响应示例：
# {"status": "pending"}      - 任务已排队
# {"status": "in_progress"}  - 任务正在运行
# {"status": "completed"}    - 任务成功完成
# {"status": "failed"}       - 任务遇到错误
# {"status": "cancelled"}    - 任务被取消

async function listenForCompletion(
  promptId: string,
  timeout: number = 300000
): Promise<Record<string, any>> {
  const wsUrl = `wss://cloud.comfy.org/ws?clientId=${crypto.randomUUID()}&token=${API_KEY}`;
  const outputs: Record<string, any> = {};

  return new Promise((resolve, reject) => {
    const ws = new WebSocket(wsUrl);
    const timer = setTimeout(() => {
      ws.close();
      reject(new Error(`任务在 ${timeout / 1000}s 内未完成`));
    }, timeout);

    ws.onmessage = (event) => {
      const data = JSON.parse(event.data);
      const msgType = data.type;
      const msgData = data.data ?? {};

      // 过滤我们的任务
      if (msgData.prompt_id !== promptId) return;

      if (msgType === "executing") {
        const node = msgData.node;
        if (node) {
          console.log(`正在执行节点：${node}`);
        } else {
          console.log("执行完成");
        }
      } else if (msgType === "progress") {
        console.log(`进度：${msgData.value}/${msgData.max}`);
      } else if (msgType === "executed" && msgData.output) {
        outputs[msgData.node] = msgData.output;
      } else if (msgType === "execution_success") {
        console.log("任务成功完成！");
        clearTimeout(timer);
        ws.close();
        resolve(outputs);
      } else if (msgType === "execution_error") {
        const errorMsg = msgData.exception_message ?? "未知错误";
        clearTimeout(timer);
        ws.close();
        reject(new Error(`执行错误：${errorMsg}`));
      }
    };

    ws.onerror = (err) => {
      clearTimeout(timer);
      reject(err);
    };
  });
}

// 等待完成并收集输出
const outputs = await listenForCompletion(promptId);

# 下载单个输出文件（使用 -L 跟随 302 重定向）
curl -L "$BASE_URL/api/view?filename=output.png&subfolder=&type=output" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY" \
  -o output.png

import { readFile, writeFile } from "fs/promises";

const BASE_URL = "https://cloud.comfy.org";
const API_KEY = process.env.COMFY_CLOUD_API_KEY!;

async function main() {
  // 1. 加载并修改工作流
  const workflow = JSON.parse(await readFile("workflow_api.json", "utf-8"));
  workflow["3"].inputs.seed = 42;
  workflow["6"].inputs.text = "a beautiful sunset";

  // 2. 提交工作流
  const response = await fetch(`${BASE_URL}/api/prompt`, {
    method: "POST",
    headers: { "X-API-Key": API_KEY, "Content-Type": "application/json" },
    body: JSON.stringify({ prompt: workflow }),
  });
  const { prompt_id } = await response.json();
  console.log(`任务已提交：${prompt_id}`);

  // 3. 轮询完成状态
  while (true) {
    const statusRes = await fetch(`${BASE_URL}/api/job/${prompt_id}/status`, {
      headers: { "X-API-Key": API_KEY },
    });
    const { status } = await statusRes.json();

    if (status === "completed") break;
    if (["failed", "cancelled"].includes(status)) {
      throw new Error(`任务 ${status}`);
    }
    await new Promise((resolve) => setTimeout(resolve, 2000));
  }

  // 4. 通过任务详情端点获取输出
  const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, {
    headers: { "X-API-Key": API_KEY },
  });
  const job = await jobRes.json();
  const outputs = job.outputs;

  // 5. 下载输出文件
  for (const nodeOutputs of Object.values(outputs)) {
    for (const fileInfo of (nodeOutputs as any).images ?? []) {
      const params = new URLSearchParams({
        filename: fileInfo.filename,
        subfolder: fileInfo.subfolder ?? "",
        type: "output",
      });
      const viewRes = await fetch(`${BASE_URL}/api/view?${params}`, {
        headers: { "X-API-Key": API_KEY },
        redirect: "manual",
      });
      const signedUrl = viewRes.headers.get("location")!;
      const fileRes = await fetch(signedUrl);
      await writeFile(`./${fileInfo.filename}`, Buffer.from(await fileRes.arrayBuffer()));
      console.log(`已下载：${fileInfo.filename}`);
    }
  }
}

main();