comfyui-docs

Retrieve official ComfyUI documentation for nodes, workflows, and custom node development.

7|2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/wenerme/ai --skill comfyui-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comfyui-docs
Source: https://github.com/wenerme/ai/tree/main/skills/comfyui-docs
Command: npx skills add https://github.com/wenerme/ai --skill comfyui-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you quickly answer questions about ComfyUI’s nodes, workflows, and setup by grounding responses in the official documentation, so you don’t have to search through large, scattered references.

Core Features & Use Cases

  • Node documentation lookup: Covers built-in nodes (loaders, samplers, conditioning, controlnet, LoRA/IPAdapter-related workflows, and more) including inputs/outputs/parameters.
  • Workflow guidance: Provides step-by-step tutorials for common pipelines like text-to-image, inpainting, ControlNet, LoRA, SDXL/Flux, upscaling, video/audio, and 3D.
  • Custom node development & registry: Explains how to build custom nodes (Python API, UI widgets, backend extensions) and how to publish/version them via the Registry.
  • Install & troubleshoot: Helps with installation options (Desktop/manual/Docker), API usage, Comfy CLI, Manager (ComfyUI Manager), cloud deployment, and troubleshooting.

Quick Start

Use the comfyui-docs skill to answer “How do I configure a ControlNet + LoRA workflow for SDXL, and what nodes do I need?”

Frequently Asked Questions about comfyui-docs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a ControlNet and LoRA workflow for SDXL in ComfyUI?

To configure a ControlNet and LoRA workflow for SDXL in ComfyUI, you connect the SDXL checkpoint loader, LoRA loader, and ControlNet conditioning nodes to the sampler. This Skill retrieves step-by-step pipeline tutorials and node parameter details directly from the official ComfyUI documentation.

What ComfyUI nodes do I need for a text-to-image pipeline?

A basic text-to-image pipeline in ComfyUI requires a checkpoint loader, CLIP text encode nodes for prompts, a KSampler, and a VAE decode node. You can find exact input and output specifications for these built-in nodes through the ComfyUI documentation lookup.

How do I build and publish custom nodes to the ComfyUI Registry?

To build and publish custom nodes to the ComfyUI Registry, you use the Python API for backend extensions, define UI widgets, and utilize the Registry for versioning and publishing. This Skill provides the official documentation covering the custom node development and publishing process.

Does ComfyUI support Docker installation and API usage for cloud deployment?

Yes, ComfyUI supports Docker installation, API usage, and cloud deployment alongside Desktop and manual installation options. The official documentation retrieved by this Skill details how to configure the environment and use the Comfy CLI for deployment.

Why is my Stable Diffusion workflow not working in ComfyUI?

If your Stable Diffusion workflow is not working in ComfyUI, you need to verify node connections, check sampler parameters, and ensure correct model loading. Use this Skill to retrieve troubleshooting guidance and instruction-level details for node behavior from the official documentation.