comfyui-workflow

Build and debug ComfyUI image-generation workflows with node graphs.

9|4|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/marduk191/qwen3_mcp --skill comfyui-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comfyui-workflow
Source: https://github.com/marduk191/qwen3_mcp/tree/main/skills/comfyui-workflow
Command: npx skills add https://github.com/marduk191/qwen3_mcp --skill comfyui-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds and debugs ComfyUI image-generation workflows end-to-end, reducing setup time and integration errors.

Core Features & Use Cases

  • Guides assembly of txt2img, img2img, inpainting, and multi-stage pipelines.
  • Covers conditioning strategies (ControlNet, LoRA, IPAdapter) and model loading.
  • Real-world example: quickly wire a basic 1024x1024 text-to-image workflow with a simple conditioning chain.

Quick Start

Describe the desired ComfyUI workflow and I will generate a ready-to-run node graph.

Frequently Asked Questions about comfyui-workflow

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

FAQPage Schema
How do I build a ComfyUI workflow for text-to-image generation?

ComfyUI workflows support txt2img, img2img, inpainting, and multi-stage pipelines. They cover conditioning strategies like ControlNet, LoRA, and IPAdapter, along with model loading and node connections for modular assembly.

How do I debug ComfyUI pipeline node connections and misconfigurations?

Debugging ComfyUI pipelines requires validating inputs and outputs to resolve integration errors. The workflow enforces modular assembly validation and provides fallback guidance to handle common misconfigurations.

Can I use ControlNet and LoRA together in a ComfyUI conditioning chain?

Yes, ControlNet and LoRA can be used together in a ComfyUI conditioning chain. Workflows support combining multiple conditioning strategies within multi-stage pipelines for image generation.

What is the best way to structure multi-stage pipelines in ComfyUI?

The best way to structure multi-stage pipelines in ComfyUI is through modular workflow assembly. This enforces input and output validation at each stage, reducing integration errors across the image-generation pipeline.

Why does my ComfyUI workflow fail when loading models or connecting nodes?

ComfyUI workflows fail during model loading or node connections due to misconfigurations. Modular assembly validation checks inputs and outputs, while fallback guidance helps resolve common integration errors.