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igniteenow
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comfyui

Generate images, video, and audio by executing ComfyUI diffusion workflows via REST and WebSocket APIs.

16|Updated Sep 22, 2026
Search Tags:#image generation#Flux#video generation#comfyui#Stable Diffusion#comfy-cli#diffusion workflow
One-click install
npx skills add https://github.com/igniteenow/robo --skill comfyui-igniteenow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comfyui
Source: https://github.com/igniteenow/robo/tree/main/skills/creative/comfyui
Command: npx skills add https://github.com/igniteenow/robo --skill comfyui-igniteenow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires comfy-cli, websocket-client, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve? Setting up and running ComfyUI diffusion workflows requires juggling hardware checks, model downloads, custom node installs, and low-level REST/WebSocket API calls, which is error-prone when done manually. ## Core Features & Use Cases - Guided Setup: Hardware probing decides between local install and Comfy Cloud, then comfy-cli automates installation, launch, and verification. - Workflow Execution: Inject prompts, seeds, and parameters into API-format workflow JSON, submit jobs, monitor progress over WebSocket, and download outputs. - Dependency Management: Detect missing custom nodes, models, and embeddings in a workflow and auto-install them via comfy-cli. - Use Case: Ask to generate eight variations of an SDXL image with random seeds; the skill checks dependencies, runs the batch in parallel, and returns the output file paths. ## Quick Start Use the comfyui skill to generate an image of a sunset over mountains with the SDXL text-to-image workflow.

Frequently Asked Questions about comfyui

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

FAQPage Schema
How do I run a ComfyUI workflow from the command line?▼

Use run_workflow.py with an API-format workflow JSON, passing parameters via --args and an output directory. The script injects your prompt and seed, submits the job to the server, monitors execution, and downloads the generated files.

What hardware do I need to run ComfyUI locally?▼

Local ComfyUI needs an NVIDIA GPU with at least 6 GB VRAM (8 GB for SDXL, 12 GB or more for Flux and video), an AMD GPU with ROCm on Linux, or an Apple Silicon Mac with 16 GB unified memory. Machines without a capable GPU should use Comfy Cloud instead.

Can I use ComfyUI without a GPU using Comfy Cloud?▼

Yes, Comfy Cloud hosts workflows on RTX 6000 Pro GPUs with common models preinstalled. Set the COMFY_CLOUD_API_KEY environment variable and pass --host https://cloud.comfy.org; note the free tier cannot run workflows via the API.

Why does my ComfyUI workflow fail with class_type not found?▼

This error means a required custom node is not installed on the server. Run check_deps.py to identify the missing package, then install it with comfy node install, or let auto_fix_deps.py perform the installation automatically.

What is the difference between editor format and API format workflows?▼

API format workflows have top-level node IDs each containing a class_type field and are directly executable via the REST API. Editor format has top-level nodes and links arrays and must be re-exported from the ComfyUI web UI using Export (API) before scripts can run it.

How do I generate multiple image variations with different seeds?▼

Use run_batch.py with --count for the number of variations and --randomize-seed for fresh seeds per run. The --parallel flag controls concurrent jobs, which should match your Comfy Cloud tier limit or local GPU capacity.

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