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comfyui-runninghubcomfyui 跑步中心

Agent Skill

comfyui-runninghub 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,048

周安装

252

GitHub Stars

公开资料未说明

下载量

2,016
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:comfyui-runninghub(comfyui 跑步中心)
来源仓库:https://github.com/uiueux/comfyui-runninghub
安装命令:
openclaw skills install comfyui-runninghub
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install comfyui-runninghub

简介

comfyui-runninghub 通过 API 在 RunningHub 云平台执行 ComfyUI 工作流。

  • 适用于需要弹性算力或远程运行复杂图像/视频生成任务的场景。
  • 支持提交任务、查询进度并获取输出结果,无需本地部署完整环境。
  • 使用受限于 RunningHub 账户权限与配额,需提前开通服务。
  • 建议测试基础工作流以确保 API 连通性与参数传递正确性。

SKILL.md

name
runninghub-comfyui
description
Execute RunningHub ComfyUI workflows via API. Use when you need to run ComfyUI workflows on RunningHub cloud platform, submit tasks, query status, and retrieve results.

RunningHub ComfyUI Workflow Runner

This skill provides tools to execute ComfyUI workflows on the RunningHub cloud platform via API.

Prerequisites

  1. RunningHub Account - Register at https://www.runninghub.ai/?inviteCode=kol01-rh124
  2. API Access - Basic membership or above (free users cannot use API)
  3. API Key - Get your 32-character API KEY from the API Console
  4. Workflow ID - The workflow must have been successfully run manually at least once

Getting API Key

  1. Login to RunningHub
  2. Click your avatar in the top-right corner
  3. Go to "API Console"
  4. Copy your API KEY (keep it secure!)

Getting Workflow ID

  1. Open the target workflow page
  2. Get the ID from the URL: https://www.runninghub.ai/#/workflow/WORKFLOW_ID
  3. Example: ID is 1987728214757978114

Setup API Key

Option 1: Save to Config File (Recommended)

cd /root/.openclaw/workspace/skills/runninghub-comfyui
python3 scripts/runninghub_client.py --save-key YOUR_API_KEY

The API key will be saved to config.json and automatically loaded for future runs.

Option 2: Environment Variable

export RUNNINGHUB_API_KEY=YOUR_API_KEY

Option 3: Command Line (Each Time)

python3 scripts/runninghub_client.py --api-key YOUR_API_KEY ...

Usage

Submit Workflow Task (Default Configuration)

For workflows using default configuration:

cd /root/.openclaw/workspace/skills/runninghub-comfyui

python3 scripts/runninghub_client.py \
  --workflow-id 1987728214757978114 \
  --action submit

Run Workflow with Custom Image (NEW!)

Upload an image and run the workflow with it:

python3 scripts/runninghub_client.py \
  --workflow-id 1987728214757978114 \
  --action run-with-image \
  --image /path/to/your/image.png \
  --node-id 107 \
  --field-name image

Parameters:

  • --image: Path to the local image file
  • --node-id: The node ID for image input (default: 107)
  • --field-name: The field name for image input (default: image)

Query Task Status

python3 scripts/runninghub_client.py \
  --task-id TASK_ID \
  --action query

Wait for Completion

python3 scripts/runninghub_client.py \
  --task-id TASK_ID \
  --action wait \
  --poll-interval 5 \
  --max-attempts 60

Python API Usage

from runninghub_client import RunningHubClient, load_config, get_api_key

# Get API key from config
api_key = get_api_key()

# Initialize client
client = RunningHubClient(api_key)

# Upload image and get URL
image_url = client.upload_image("/path/to/image.png")
print(f"Image URL: {image_url}")

# Submit workflow with custom image
result = client.submit_workflow_with_image(
    workflow_id="1987728214757978114",
    node_id="107",
    field_name="image",
    image_url=image_url
)

task_id = result["taskId"]

# Wait for completion
final_result = client.wait_for_completion(task_id)

# Get output URLs
if final_result.get("status") == "SUCCESS":
    for item in final_result.get("results", []):
        print(f"Output: {item.get('url')}")

API Reference

RunningHubClient Class

__init__(api_key: str)

Initialize the client with your API KEY.

upload_image(image_path: str) -> Optional[str]

Upload an image file to RunningHub and get the URL.

Returns:

  • Image URL on success
  • None on failure

submit_workflow(workflow_id: str, node_info_list: Optional[list]) -> Dict

Submit a workflow task for execution.

Parameters:

  • workflow_id: The workflow ID from RunningHub
  • node_info_list: Node configuration list (optional)

Important: Use fieldValue (not value) in node_info_list:

node_info_list = [
    {
        "nodeId": "107",
        "fieldName": "image",
        "fieldValue": "https://..."  # ✅ Use fieldValue, not value
    }
]

Returns:

{
  "taskId": "TASK_ID",
  "status": "RUNNING",
  "clientId": "CLIENT_ID"
}

submit_workflow_with_image(workflow_id: str, node_id: str, field_name: str, image_url: str) -> Dict

Submit a workflow with an image input (convenience method).

Example:

result = client.submit_workflow_with_image(
    "1987728214757978114",  # workflow_id
    "107",                   # node_id
    "image",                 # field_name
    "https://..."            # image_url
)

query_task(task_id: str) -> Dict

Query the status of a submitted task.

Returns:

{
  "status": "RUNNING|SUCCESS|FAILED",
  "results": [
    {"url": "https://...", "filename": "..."}
  ]
}

wait_for_completion(task_id: str, poll_interval: int, max_attempts: int) -> Dict

Wait for a task to complete by polling status.

Image Upload

Endpoint: POST /openapi/v2/media/upload/binary

Headers:

  • Authorization: Bearer <api_key>

Body:

  • Multipart form-data with file field

Response:

{
  "code": 0,
  "msg": "success",
  "data": {
    "type": "image",
    "download_url": "https://...",
    "fileName": "openapi/...",
    "size": "3490"
  }
}

Submit Workflow with Custom Input

Endpoint: POST /openapi/v2/run/workflow/{workflow_id}

Headers:

  • Authorization: Bearer <api_key>
  • Content-Type: application/json

Request Body:

{
  "apiKey": "your-api-key",
  "workflowId": "1987728214757978114",
  "addMetadata": true,
  "nodeInfoList": [
    {
      "nodeId": "107",
      "fieldName": "image",
      "fieldValue": "https://..."  // ✅ Use fieldValue, not value
    }
  ],
  "instanceType": "default",
  "usePersonalQueue": "false"
}

Important: Use fieldValue not value for node input values!

Important Notes

  1. Use fieldValue not value: When passing node input values via API, always use fieldValue:
   {"nodeId": "107", "fieldName": "image", "fieldValue": "..."}  // ✅ Correct
   {"nodeId": "107", "fieldName": "image", "value": "..."}       // ❌ Wrong
  1. Rate Limiting: Basic members have concurrency limits (usually 1 task at a time)
  1. Error 421: "API queue limit reached" - Wait for previous tasks to complete
  1. Authentication: Uses Authorization: Bearer <api_key> header
  1. API Endpoints:

- Submit: POST /openapi/v2/run/workflow/{workflow_id} - Query: POST /openapi/v2/query - Upload: POST /openapi/v2/media/upload/binary

Troubleshooting

"Invalid node info" (Error 803)

  • Check that you're using fieldValue not value
  • Verify the nodeId and fieldName match the workflow configuration
  • Use the workflow's getJsonApiFormat endpoint to check available nodes

"API queue limit reached" (Error 421)

  • Wait 2-3 minutes and retry
  • Check RunningHub web console for running tasks
  • Cancel tasks from web console if needed

"TOKEN_INVALID" (Error 412)

  • Verify your API KEY is correct (32 characters)
  • Check if your membership is active
  • Try regenerating the API KEY from console

Task stuck in "RUNNING"

  • Large workflows may take several minutes
  • Check RunningHub web console for actual progress
  • Contact support if task runs too long

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.73%
按下载量换算1,507

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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