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comfyui-apicomfyui API 文档

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

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16,049

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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

unknown

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-api(comfyui API 文档)
来源仓库:https://github.com/mckruz/comfyui-expert
仓库路径:skills/comfyui-api
安装命令:
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-api
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-api

简介

用于辅助 API 设计、接口文档和请求响应结构梳理。

  • 适合生成 OpenAPI 草稿、检查字段命名和整理错误码。
  • 使用时需确认真实业务语义、鉴权方式和分页规则。
  • 避免凭空补字段,最好从现有代码或接口样例中提取事实。
  • 涉及生产环境时应先确认最小权限与操作边界。comfyui-api 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

ComfyUI API Skill

Connect to ComfyUI's REST API to execute workflows, monitor progress, and retrieve outputs.

Configuration

  • Default URL: http://127.0.0.1:8188
  • Custom URL: Set in project manifest or pass as parameter
  • Timeout: 30s for API calls, no timeout for generation polling

Two Modes

Online Mode (ComfyUI Running)

Full API access. Preferred mode for interactive work.

  1. Test connection: GET /system_stats
  2. Discover capabilities: Use comfyui-inventory skill
  3. Queue workflow: POST /prompt
  4. Poll for results: GET /history/{prompt_id} every 5 seconds
  5. Retrieve outputs: GET /view?filename=...

Offline Mode (No Server)

Export workflow JSON for manual loading in ComfyUI.

  1. Generate workflow JSON following ComfyUI's format
  2. Save to projects/{project}/workflows/{name}.json
  3. Instruct user to drag-drop into ComfyUI

API Operations

Check Server Status

curl http://127.0.0.1:8188/system_stats

Response fields:

  • system.os: Operating system
  • system.comfyui_version: Version string
  • devices[0].name: GPU name
  • devices[0].vram_total: Total VRAM bytes
  • devices[0].vram_free: Free VRAM bytes

Queue a Workflow

curl -X POST http://127.0.0.1:8188/prompt \
  -H "Content-Type: application/json" \
  -d '{"prompt": WORKFLOW_JSON, "client_id": "video-agent"}'

WORKFLOW_JSON format:

{
  "1": {
    "class_type": "LoadCheckpoint",
    "inputs": {
      "ckpt_name": "flux1-dev.safetensors"
    }
  },
  "2": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "photorealistic portrait...",
      "clip": ["1", 1]
    }
  }
}

Each node is keyed by a string ID. Inputs reference other nodes as ["{node_id}", {output_index}].

Response:

{"prompt_id": "abc-123-def", "number": 1}

Poll for Completion

curl http://127.0.0.1:8188/history/abc-123-def

Incomplete: Returns {} (empty object) Complete: Returns execution data with outputs:

{
  "abc-123-def": {
    "outputs": {
      "9": {
        "images": [{"filename": "ComfyUI_00001.png", "subfolder": "", "type": "output"}]
      }
    },
    "status": {"completed": true}
  }
}

Retrieve Output Image

curl "http://127.0.0.1:8188/view?filename=ComfyUI_00001.png&subfolder=&type=output" -o output.png

Upload Reference Image

curl -X POST http://127.0.0.1:8188/upload/image \
  -F "image=@reference.png" \
  -F "subfolder=input" \
  -F "type=input"

Cancel Current Generation

curl -X POST http://127.0.0.1:8188/interrupt

Free VRAM

curl -X POST http://127.0.0.1:8188/free \
  -H "Content-Type: application/json" \
  -d '{"unload_models": true}'

Polling Strategy

ComfyUI doesn't support WebSocket in CLI context. Use REST polling:

  1. Queue workflow via POST /prompt → get prompt_id
  2. Poll GET /history/{prompt_id} every 5 seconds
  3. On empty response: generation in progress, continue polling
  4. On populated response: check status.completed
  5. If completed: true, extract outputs
  6. If error in status, route to comfyui-troubleshooter

Timeout: Warn user after 10 minutes of polling. Video generation (Wan 14B) can take 15-30 minutes.

Workflow Validation

Before queuing any workflow:

  1. Read state/inventory.json (via comfyui-inventory)
  2. For each node in workflow: verify class_type exists in installed nodes
  3. For each model reference: verify file exists in installed models
  4. Flag missing items with:

- Node: suggest ComfyUI-Manager install command - Model: provide download link from references/models.md - Version mismatch: suggest update

Error Handling

ErrorCauseAction
Connection refusedComfyUI not runningSwitch to offline mode, save JSON
400 Bad RequestInvalid workflow JSONValidate node connections
500 Internal ErrorComfyUI crashSuggest restart, check logs
Timeout (no response)Server overloadedWait and retry once

Reference

Full API documentation: foundation/api-quick-ref.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

按任务关键词查找相关 Skills

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

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

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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