Cloud API 参考

export COMFY_CLOUD_API_KEY="your-api-key"
export BASE_URL="https://cloud.comfy.org"

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

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

function getHeaders(): HeadersInit {
  return {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json",
  };
}

import os
import requests
import json
import time
import asyncio
import aiohttp

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

def get_headers():
    return {
        "X-API-Key": API_KEY,
        "Content-Type": "application/json"
    }

curl -X GET "$BASE_URL/api/object_info" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY"

async function getObjectInfo(): Promise<Record<string, any>> {
  const response = await fetch(`${BASE_URL}/api/object_info`, {
    headers: getHeaders(),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  return response.json();
}

const objectInfo = await getObjectInfo();
console.log(`Available nodes: ${Object.keys(objectInfo).length}`);

const ksampler = objectInfo["KSampler"] ?? {};
console.log(`KSampler inputs: ${Object.keys(ksampler.input?.required ?? {})}`);

def get_object_info():
    """Fetch all available node definitions from cloud."""
    response = requests.get(
        f"{BASE_URL}/api/object_info",
        headers=get_headers()
    )
    response.raise_for_status()
    return response.json()

# Get all nodes
object_info = get_object_info()
print(f"Available nodes: {len(object_info)}")

# Get a specific node's definition
ksampler = object_info.get("KSampler", {})
inputs = list(ksampler.get('input', {}).get('required', {}).keys())
print(f"KSampler inputs: {inputs}")

curl -X POST "$BASE_URL/api/upload/image" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY" \
  -F "image=@my_image.png" \
  -F "type=input" \
  -F "overwrite=true"

async function uploadInput(
  filePath: string,
  inputType: string = "input"
): Promise<{ name: string; subfolder: string }> {
  const file = await readFile(filePath);
  const formData = new FormData();
  formData.append("image", new Blob([file]), filePath.split("/").pop());
  formData.append("type", inputType);
  formData.append("overwrite", "true");

  const response = await fetch(`${BASE_URL}/api/upload/image`, {
    method: "POST",
    headers: { "X-API-Key": API_KEY },
    body: formData,
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  return response.json();
}

const result = await uploadInput("my_image.png");
console.log(`Uploaded: ${result.name} to ${result.subfolder}`);

def upload_input(file_path: str, input_type: str = "input") -> dict:
    """Upload a file directly to cloud.
    
    Args:
        file_path: Path to the file to upload
        input_type: "input" for images, "temp" for temporary files
        
    Returns:
        Upload response with filename and subfolder
    """
    with open(file_path, "rb") as f:
        files = {"image": f}
        data = {"type": input_type, "overwrite": "true"}
        
        response = requests.post(
            f"{BASE_URL}/api/upload/image",
            headers={"X-API-Key": API_KEY},  # No Content-Type for multipart
            files=files,
            data=data
        )
    response.raise_for_status()
    return response.json()

# Upload an image
result = upload_input("my_image.png")
print(f"Uploaded: {result['name']} to {result['subfolder']}")

curl -X POST "$BASE_URL/api/upload/mask" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY" \
  -F "image=@mask.png" \
  -F "type=input" \
  -F "subfolder=clipspace" \
  -F 'original_ref={"filename":"my_image.png","subfolder":"","type":"input"}'

async function uploadMask(
  filePath: string,
  originalRef: { filename: string; subfolder: string; type: string }
): Promise<{ name: string; subfolder: string }> {
  const file = await readFile(filePath);
  const formData = new FormData();
  formData.append("image", new Blob([file]), filePath.split("/").pop());
  formData.append("type", "input");
  formData.append("subfolder", "clipspace");
  formData.append("original_ref", JSON.stringify(originalRef));

  const response = await fetch(`${BASE_URL}/api/upload/mask`, {
    method: "POST",
    headers: { "X-API-Key": API_KEY },
    body: formData,
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  return response.json();
}

const maskResult = await uploadMask("mask.png", {
  filename: "my_image.png",
  subfolder: "",
  type: "input",
});
console.log(`Uploaded mask: ${maskResult.name}`);

def upload_mask(file_path: str, original_ref: dict) -> dict:
    """Upload a mask associated with an original image.
    
    Args:
        file_path: Path to the mask file
        original_ref: Reference to the original image {"filename": "...", "subfolder": "...", "type": "..."}
    """
    with open(file_path, "rb") as f:
        files = {"image": f}
        data = {
            "type": "input",
            "subfolder": "clipspace",
            "original_ref": json.dumps(original_ref)
        }
        
        response = requests.post(
            f"{BASE_URL}/api/upload/mask",
            headers={"X-API-Key": API_KEY},
            files=files,
            data=data
        )
    response.raise_for_status()
    return response.json()

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

async function submitWorkflow(workflow: Record<string, any>): Promise<string> {
  const response = await fetch(`${BASE_URL}/api/prompt`, {
    method: "POST",
    headers: getHeaders(),
    body: JSON.stringify({ prompt: workflow }),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  const result = await response.json();

  if (result.error) {
    throw new Error(`Workflow error: ${result.error}`);
  }
  return result.prompt_id;
}

const workflow = JSON.parse(await readFile("workflow_api.json", "utf-8"));
const promptId = await submitWorkflow(workflow);
console.log(`Submitted job: ${promptId}`);

def submit_workflow(workflow: dict) -> str:
    """Submit a workflow and return the prompt_id (job ID).
    
    Args:
        workflow: ComfyUI workflow in API format
        
    Returns:
        prompt_id for tracking the job
    """
    response = requests.post(
        f"{BASE_URL}/api/prompt",
        headers=get_headers(),
        json={"prompt": workflow}
    )
    response.raise_for_status()
    result = response.json()
    
    if "error" in result:
        raise ValueError(f"Workflow error: {result['error']}")
    
    return result["prompt_id"]

# Load and submit a workflow
with open("workflow_api.json") as f:
    workflow = json.load(f)

prompt_id = submit_workflow(workflow)
print(f"Submitted job: {prompt_id}")

curl -X POST "$BASE_URL/api/prompt" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": '"$(cat workflow_api.json)"',
    "extra_data": {
      "api_key_comfy_org": "your-comfy-api-key"
    }
  }'

async function submitWorkflowWithPartnerNodes(
  workflow: Record<string, any>,
  apiKey: string
): Promise<string> {
  const response = await fetch(`${BASE_URL}/api/prompt`, {
    method: "POST",
    headers: getHeaders(),
    body: JSON.stringify({
      prompt: workflow,
      extra_data: {
        api_key_comfy_org: apiKey,
      },
    }),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  const result = await response.json();
  return result.prompt_id;
}

// 当工作流包含合作伙伴节点时使用（例如 Flux Pro、Ideogram 等）
const promptId = await submitWorkflowWithPartnerNodes(workflow, API_KEY);

def submit_workflow_with_partner_nodes(workflow: dict, api_key: str) -> str:
    """提交使用合作伙伴节点的工作流。
    
    Args:
        workflow: API 格式的 ComfyUI 工作流
        api_key: 来自 platform.comfy.org 的 API 密钥
        
    Returns:
        用于跟踪任务的 prompt_id
    """
    response = requests.post(
        f"{BASE_URL}/api/prompt",
        headers=get_headers(),
        json={
            "prompt": workflow,
            "extra_data": {
                "api_key_comfy_org": api_key
            }
        }
    )
    response.raise_for_status()
    return response.json()["prompt_id"]

# 当工作流包含合作伙伴节点时使用
prompt_id = submit_workflow_with_partner_nodes(workflow, API_KEY)

function setWorkflowInput(
  workflow: Record<string, any>,
  nodeId: string,
  inputName: string,
  value: any
): Record<string, any> {
  if (workflow[nodeId]) {
    workflow[nodeId].inputs[inputName] = value;
  }
  return workflow;
}

// Example: Set seed and prompt
let workflow = JSON.parse(await readFile("workflow_api.json", "utf-8"));
workflow = setWorkflowInput(workflow, "3", "seed", 12345);
workflow = setWorkflowInput(workflow, "6", "text", "a beautiful landscape");

def set_workflow_input(workflow: dict, node_id: str, input_name: str, value) -> dict:
    """Modify a workflow input value.
    
    Args:
        workflow: The workflow dict
        node_id: ID of the node to modify
        input_name: Name of the input field
        value: New value
        
    Returns:
        Modified workflow
    """
    if node_id in workflow:
        workflow[node_id]["inputs"][input_name] = value
    return workflow

# Example: Set seed and prompt
workflow = set_workflow_input(workflow, "3", "seed", 12345)
workflow = set_workflow_input(workflow, "6", "text", "a beautiful landscape")

# 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

interface JobStatus {
  status: string;
}

async function getJobStatus(promptId: string): Promise<JobStatus> {
  const response = await fetch(`${BASE_URL}/api/job/${promptId}/status`, {
    headers: getHeaders(),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  return response.json();
}

async function pollForCompletion(
  promptId: string,
  timeout: number = 300,
  pollInterval: number = 2000
): Promise<void> {
  const startTime = Date.now();

  while (Date.now() - startTime < timeout * 1000) {
    const { status } = await getJobStatus(promptId);

    if (status === "completed") {
      return;
    } else if (["failed", "cancelled"].includes(status)) {
      throw new Error(`任务失败，状态：${status}`);
    }

    await new Promise((resolve) => setTimeout(resolve, pollInterval));
  }

  throw new Error(`任务 ${promptId} 在 ${timeout}s 内未完成`);
}

await pollForCompletion(promptId);
console.log("任务已完成！");

def get_job_status(prompt_id: str) -> str:
    """获取任务的当前状态。"""
    response = requests.get(
        f"{BASE_URL}/api/job/{prompt_id}/status",
        headers=get_headers()
    )
    response.raise_for_status()
    return response.json()["status"]

def poll_for_completion(prompt_id: str, timeout: int = 300, poll_interval: float = 2.0) -> None:
    """轮询直到任务完成或超时。"""
    start_time = time.time()

    while time.time() - start_time < timeout:
        status = get_job_status(prompt_id)

        if status == "completed":
            return
        elif status in ("failed", "cancelled"):
            raise RuntimeError(f"任务失败，状态：{status}")

        time.sleep(poll_interval)

    raise TimeoutError(f"任务 {prompt_id} 在 {timeout}s 内未完成")

poll_for_completion(prompt_id)
print("任务已完成！")

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);

import asyncio
import aiohttp
import json
import uuid

async def listen_for_completion(prompt_id: str, timeout: float = 300.0) -> dict:
    """连接到 WebSocket 并监听任务完成。

    Returns:
        任务的最终输出
    """
    ws_url = BASE_URL.replace("https://", "wss://")
    client_id = str(uuid.uuid4())
    ws_url = f"{ws_url}/ws?clientId={client_id}&token={API_KEY}"

    outputs = {}

    async with aiohttp.ClientSession() as session:
        async with session.ws_connect(ws_url) as ws:
            async def receive_messages():
                async for msg in ws:
                    if msg.type == aiohttp.WSMsgType.TEXT:
                        data = json.loads(msg.data)
                        msg_type = data.get("type")
                        msg_data = data.get("data", {})

                        # 过滤我们的任务
                        if msg_data.get("prompt_id") != prompt_id:
                            continue

                        if msg_type == "executing":
                            node = msg_data.get("node")
                            if node:
                                print(f"正在执行节点：{node}")

                        elif msg_type == "progress":
                            value = msg_data.get("value", 0)
                            max_val = msg_data.get("max", 100)
                            print(f"进度：{value}/{max_val}")

                        elif msg_type == "executed":
                            node_id = msg_data.get("node")
                            output = msg_data.get("output", {})
                            if output:
                                outputs[node_id] = output

                        elif msg_type == "execution_success":
                            print("任务成功完成！")
                            return outputs

                        elif msg_type == "execution_error":
                            error_msg = msg_data.get("exception_message", "未知错误")
                            raise RuntimeError(f"执行错误：{error_msg}")

                    elif msg.type == aiohttp.WSMsgType.ERROR:
                        raise RuntimeError(f"WebSocket 错误：{ws.exception()}")

            try:
                return await asyncio.wait_for(receive_messages(), timeout=timeout)
            except asyncio.TimeoutError:
                raise TimeoutError(f"任务在 {timeout}s 内未完成")

# 等待完成并收集输出
outputs = await listen_for_completion(prompt_id)

# 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

async function downloadOutput(
  filename: string,
  subfolder: string = "",
  outputType: string = "output"
): Promise<ArrayBuffer> {
  const params = new URLSearchParams({ filename, subfolder, type: outputType });
  // 获取重定向 URL
  const response = await fetch(`${BASE_URL}/api/view?${params}`, {
    headers: { "X-API-Key": API_KEY },
    redirect: "manual",
  });
  if (response.status !== 302) throw new Error(`HTTP ${response.status}`);
  const signedUrl = response.headers.get("location")!;

  // 从签名 URL 获取文件
  const fileResponse = await fetch(signedUrl);
  if (!fileResponse.ok) throw new Error(`HTTP ${fileResponse.status}`);
  return fileResponse.arrayBuffer();
}

async function saveOutputs(
  outputs: Record<string, any>,
  outputDir: string = "."
): Promise<void> {
  for (const nodeOutputs of Object.values(outputs)) {
    for (const key of ["images", "video", "audio"]) {
      for (const fileInfo of (nodeOutputs as any)[key] ?? []) {
        const data = await downloadOutput(
          fileInfo.filename,
          fileInfo.subfolder ?? "",
          fileInfo.type ?? "output"
        );
        const path = `${outputDir}/${fileInfo.filename}`;
        await writeFile(path, Buffer.from(data));
        console.log(`已保存：${path}`);
      }
    }
  }
}

// 下载所有输出
await saveOutputs(outputs, "./my_outputs");

def download_output(filename: str, subfolder: str = "", output_type: str = "output") -> bytes:
    """下载输出文件。

    Args:
        filename: 文件名
        subfolder: 子文件夹路径（通常为空）
        output_type: "output" 表示最终输出，"temp" 表示预览

    Returns:
        文件字节
    """
    params = {
        "filename": filename,
        "subfolder": subfolder,
        "type": output_type
    }

    response = requests.get(
        f"{BASE_URL}/api/view",
        headers=get_headers(),
        params=params
    )
    response.raise_for_status()
    return response.content

def save_outputs(outputs: dict, output_dir: str = "."):
    """将任务的所有输出保存到磁盘。

    Args:
        outputs: 任务的输出字典（node_id -> output_data）
        output_dir: 保存文件的目录
    """
    import os
    os.makedirs(output_dir, exist_ok=True)

    for node_id, node_outputs in outputs.items():
        for key in ("images", "video", "audio"):
            for file_info in node_outputs.get(key, []):
                filename = file_info["filename"]
                subfolder = file_info.get("subfolder", "")
                output_type = file_info.get("type", "output")

                data = download_output(filename, subfolder, output_type)

                output_path = os.path.join(output_dir, filename)
                with open(output_path, "wb") as f:
                    f.write(data)
                print(f"已保存：{output_path}")

# 下载所有输出
save_outputs(outputs, "./my_outputs")

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

function getHeaders(): HeadersInit {
  return { "X-API-Key": API_KEY, "Content-Type": "application/json" };
}

async function submitWorkflow(workflow: Record<string, any>): Promise<string> {
  const response = await fetch(`${BASE_URL}/api/prompt`, {
    method: "POST",
    headers: getHeaders(),
    body: JSON.stringify({ prompt: workflow }),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  return (await response.json()).prompt_id;
}

async function waitForCompletion(
  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("Job timed out"));
    }, timeout);

    ws.onmessage = (event) => {
      const data = JSON.parse(event.data);
      if (data.data?.prompt_id !== promptId) return;

      const msgType = data.type;
      const msgData = data.data ?? {};

      if (msgType === "progress") {
        console.log(`Progress: ${msgData.value}/${msgData.max}`);
      } else if (msgType === "executed" && msgData.output) {
        outputs[msgData.node] = msgData.output;
      } else if (msgType === "execution_success") {
        clearTimeout(timer);
        ws.close();
        resolve(outputs);
      } else if (msgType === "execution_error") {
        clearTimeout(timer);
        ws.close();
        reject(new Error(msgData.exception_message ?? "Unknown error"));
      }
    };

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

async function downloadOutputs(
  outputs: Record<string, any>,
  outputDir: string
): Promise<void> {
  for (const nodeOutputs of Object.values(outputs)) {
    for (const key of ["images", "video", "audio"]) {
      for (const fileInfo of (nodeOutputs as any)[key] ?? []) {
        const params = new URLSearchParams({
          filename: fileInfo.filename,
          subfolder: fileInfo.subfolder ?? "",
          type: fileInfo.type ?? "output",
        });
        // Get redirect URL (don't follow to avoid sending auth to storage)
        const response = await fetch(`${BASE_URL}/api/view?${params}`, {
          headers: { "X-API-Key": API_KEY },
          redirect: "manual",
        });
        if (response.status !== 302) throw new Error(`HTTP ${response.status}`);
        const signedUrl = response.headers.get("location")!;
        // Fetch from signed URL without auth headers
        const fileResponse = await fetch(signedUrl);
        if (!fileResponse.ok) throw new Error(`HTTP ${fileResponse.status}`);

        const path = `${outputDir}/${fileInfo.filename}`;
        await writeFile(path, Buffer.from(await fileResponse.arrayBuffer()));
        console.log(`Downloaded: ${path}`);
      }
    }
  }
}

async function main() {
  // 1. Load workflow
  const workflow = JSON.parse(await readFile("workflow_api.json", "utf-8"));

  // 2. Modify workflow parameters
  workflow["3"].inputs.seed = 42;
  workflow["6"].inputs.text = "a beautiful sunset over mountains";

  // 3. Submit workflow
  const promptId = await submitWorkflow(workflow);
  console.log(`Job submitted: ${promptId}`);

  // 4. Wait for completion with progress
  const outputs = await waitForCompletion(promptId);
  console.log(`Job completed! Found ${Object.keys(outputs).length} output nodes`);

  // 5. Download outputs
  await downloadOutputs(outputs, "./outputs");
  console.log("Done!");
}

main();

import os
import requests
import json
import asyncio
import aiohttp
import uuid

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

def get_headers():
    return {"X-API-Key": API_KEY, "Content-Type": "application/json"}

def upload_image(file_path: str) -> dict:
    """Upload an image and return the reference for use in workflows."""
    with open(file_path, "rb") as f:
        response = requests.post(
            f"{BASE_URL}/api/upload/image",
            headers={"X-API-Key": API_KEY},
            files={"image": f},
            data={"type": "input", "overwrite": "true"}
        )
    response.raise_for_status()
    return response.json()

def submit_workflow(workflow: dict) -> str:
    """Submit workflow and return prompt_id."""
    response = requests.post(
        f"{BASE_URL}/api/prompt",
        headers=get_headers(),
        json={"prompt": workflow}
    )
    response.raise_for_status()
    return response.json()["prompt_id"]

async def wait_for_completion(prompt_id: str, timeout: float = 300.0) -> dict:
    """Wait for job completion via WebSocket."""
    ws_url = BASE_URL.replace("https://", "wss://") + f"/ws?clientId={uuid.uuid4()}&token={API_KEY}"
    outputs = {}
    
    async with aiohttp.ClientSession() as session:
        async with session.ws_connect(ws_url) as ws:
            start = asyncio.get_event_loop().time()
            async for msg in ws:
                if asyncio.get_event_loop().time() - start > timeout:
                    raise TimeoutError("Job timed out")
                
                if msg.type != aiohttp.WSMsgType.TEXT:
                    continue
                    
                data = json.loads(msg.data)
                if data.get("data", {}).get("prompt_id") != prompt_id:
                    continue
                
                msg_type = data.get("type")
                msg_data = data.get("data", {})
                
                if msg_type == "progress":
                    print(f"Progress: {msg_data.get('value')}/{msg_data.get('max')}")
                elif msg_type == "executed":
                    if output := msg_data.get("output"):
                        outputs[msg_data["node"]] = output
                elif msg_type == "execution_success":
                    return outputs
                elif msg_type == "execution_error":
                    raise RuntimeError(msg_data.get("exception_message", "Unknown error"))
    
    return outputs

def download_outputs(outputs: dict, output_dir: str):
    """Download all output files."""
    os.makedirs(output_dir, exist_ok=True)
    
    for node_outputs in outputs.values():
        for key in ["images", "video", "audio"]:
            for file_info in node_outputs.get(key, []):
                params = {
                    "filename": file_info["filename"],
                    "subfolder": file_info.get("subfolder", ""),
                    "type": file_info.get("type", "output")
                }
                response = requests.get(f"{BASE_URL}/api/view", headers=get_headers(), params=params)
                response.raise_for_status()
                
                path = os.path.join(output_dir, file_info["filename"])
                with open(path, "wb") as f:
                    f.write(response.content)
                print(f"Downloaded: {path}")

async def main():
    # 1. Load workflow
    with open("workflow_api.json") as f:
        workflow = json.load(f)
    
    # 2. Optionally upload input images
    # image_ref = upload_image("input.png")
    # workflow["1"]["inputs"]["image"] = image_ref["name"]
    
    # 3. Modify workflow parameters
    workflow["3"]["inputs"]["seed"] = 42
    workflow["6"]["inputs"]["text"] = "a beautiful sunset over mountains"
    
    # 4. Submit workflow
    prompt_id = submit_workflow(workflow)
    print(f"Job submitted: {prompt_id}")
    
    # 5. Wait for completion with progress
    outputs = await wait_for_completion(prompt_id)
    print(f"Job completed! Found {len(outputs)} output nodes")
    
    # 6. Download outputs
    download_outputs(outputs, "./outputs")
    print("Done!")

if __name__ == "__main__":
    asyncio.run(main())

curl -X GET "$BASE_URL/api/queue" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY"

async function getQueue(): Promise<{
  queue_running: any[];
  queue_pending: any[];
}> {
  const response = await fetch(`${BASE_URL}/api/queue`, {
    headers: getHeaders(),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
  return response.json();
}

const queue = await getQueue();
console.log(`Running: ${queue.queue_running.length}`);
console.log(`Pending: ${queue.queue_pending.length}`);

def get_queue():
    """Get current queue status."""
    response = requests.get(
        f"{BASE_URL}/api/queue",
        headers=get_headers()
    )
    response.raise_for_status()
    return response.json()

queue = get_queue()
print(f"Running: {len(queue.get('queue_running', []))}")
print(f"Pending: {len(queue.get('queue_pending', []))}")

curl -X POST "$BASE_URL/api/queue" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"delete": ["PROMPT_ID_HERE"]}'

async function cancelJob(promptId: string): Promise<void> {
  const response = await fetch(`${BASE_URL}/api/queue`, {
    method: "POST",
    headers: getHeaders(),
    body: JSON.stringify({ delete: [promptId] }),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
}

def cancel_job(prompt_id: str):
    """Cancel a pending or running job."""
    response = requests.post(
        f"{BASE_URL}/api/queue",
        headers=get_headers(),
        json={"delete": [prompt_id]}
    )
    response.raise_for_status()
    return response.json()

curl -X POST "$BASE_URL/api/interrupt" \
  -H "X-API-Key: $COMFY_CLOUD_API_KEY"

async function interrupt(): Promise<void> {
  const response = await fetch(`${BASE_URL}/api/interrupt`, {
    method: "POST",
    headers: getHeaders(),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
}

def interrupt():
    """Interrupt the currently running job."""
    response = requests.post(
        f"{BASE_URL}/api/interrupt",
        headers=get_headers()
    )
    response.raise_for_status()