ComfyUI overview

2025-12-03 11:43 UTC gpt-5-1 Open in ChatGPT ↗

ComfyUI is a node-based, visual interface for creating and running Stable Diffusion workflows. Instead of writing code or relying on a single prompt box, you build AI image-generation pipelines by connecting blocks (“nodes”) that each perform a specific function.

image_group{“query”:[“ComfyUI workflow”,“ComfyUI interface”,“ComfyUI nodes stable diffusion”]}

🔧 What it’s used for

AI image generation (Stable Diffusion 1.5, SDXL, Flux, etc.)
Image-to-image editing
ControlNet (pose, depth, edge control)
Custom models, LoRAs, VAE management
Complex pipelines like animation, upscale, in/out-painting

🧩 How it works

You drag nodes into a canvas and connect them:

Load model → Sampler → VAE → Save image
Because everything is exposed as nodes, you can:
Swap models on the fly
Insert ControlNets
Branch multiple outputs
Customize samplers, schedulers, latent operations, etc.

💡 Why people like it

Extremely flexible — you can build any SD pipeline you want
Fast — GPU-optimized, low overhead
Modular — huge library of community custom nodes
Reproducible — workflows can be saved & shared

📦 How to install

Windows: Download a release or use portable builds (like ComfyUI Portable).
Mac/Linux: Install via GitHub + Python + dependencies.
Web: Some cloud services offer hosted ComfyUI (RunComfy, Vanguard, etc.).

If you want, I can also provide: ✅ A simple beginner workflow
✅ A tutorial on installing ComfyUI
✅ A recommended set of models / custom nodes
Which would you like?

Short answer: ComfyUI is primarily for image generation (Stable Diffusion), not audio.
BUT—there are some community experimental nodes that allow limited audio/text workflows, and you can integrate external tools like ElevenLabs into ComfyUI with custom nodes or API calls.

Let me break it down clearly.

🎨 What ComfyUI is built for

ComfyUI’s core engine is designed around:

Stable Diffusion image generation
Latent/tensor operations
Image-to-image pipelines
Video (via extensions)

Audio is not part of the official core.

🔊 Can ComfyUI handle audio?

✔️ Yes, but only through community add-ons—not natively.

There are:

Custom nodes for audio processing, such as
- ComfyUI-AudioNodes
- ComfyUI-SDXL-TextToAudio (rare, experimental)
- Basic audio playback/output nodes
Python Call nodes that let you call an API (like ElevenLabs) from within ComfyUI

However:

These nodes are not mainstream,
They may be unstable or limited,
They are not officially supported by the ComfyUI developers.

So ComfyUI can interact with audio, but it is not designed as an audio workflow engine (like AudioCraft, RVC, Bark, etc.).

🗣️ Using ElevenLabs with ComfyUI

If your goal is text-to-speech or voice generation, you can integrate ElevenLabs by:

Option A — Using a custom “Python Execute Node”

This node can call the ElevenLabs API from inside a ComfyUI workflow.
Flow example:

Prompt → Python Node → ElevenLabs API → Audio File Output Node

Option B — Installing community nodes that call APIs

Some custom nodes allow external API calls directly, but quality varies.

Option C — Keep ComfyUI for images, use ElevenLabs separately

Most creators do this:
Use ComfyUI for visuals → ElevenLabs for voice → Edit together in a video editor.

🎬 If your goal is: “Make videos with images + AI voice-over”

This is a common setup:

image_group{“query”:[“ElevenLabs UI”,“ComfyUI interface workflow”,“stable diffusion video editor AI”],“num_per_query”:1}

ComfyUI → creates images or animation
ElevenLabs → generates the voice-over
DaVinci Resolve / Premiere / CapCut → combines them

This workflow gives much better control than forcing ComfyUI to handle audio.

✅ If you want, I can help you with:

Setting up a ComfyUI → ElevenLabs workflow
Step-by-step code for a Python node that generates speech via ElevenLabs
Recommended nodes for audio
A complete pipeline for AI video + narration

Just tell me what you’re aiming to build!

ComfyUI can work with LLMs, but only through add-ons or custom nodes—it is not designed as a native LLM interface.

Here’s the full picture:

🧠 Does ComfyUI support LLMs?

✔️ Yes — but only via community extensions or custom Python nodes

✖️ No — ComfyUI does not have built-in LLM tools

By default, ComfyUI is focused on:

Stable Diffusion image generation
Image/video workflows
Latent processing

LLMs are outside its core design.

However, the community has created tools to add LLM functionality.

🔌 How LLMs can be used with ComfyUI

1. ComfyUI-LLM or ComfyUI Language Models (community nodes)

Several projects add nodes that let you:

Run small local LLMs (via llama.cpp, exLlama, etc.)
Use an external API (OpenAI, Claude, Groq, etc.)
Use LLMs for prompt generation, captioning, or storyboards

These nodes typically provide:

Text input → LLM → Text output
Then the text gets fed into the image-generation nodes.

These are great for:

Automatic prompt creation
Scene description → image
Story generation for videos

2. Python Executor Node + LLM API

You can write a tiny Python snippet inside ComfyUI that sends a request to:

OpenAI (ChatGPT)
Anthropic (Claude)
Google Gemini
Groq
Ollama (local)
LM Studio (local)
etc.

Example pipeline:

User prompt → Python Node → LLM API → Text Output → Stable Diffusion

This works reliably and integrates ANY LLM with ComfyUI.

3. External LLMs controlling ComfyUI

Many people run:

A local LLM (Ollama, LM Studio, GPT4All)
A script or plugin that instructs ComfyUI via API

In this setup:

The LLM writes or modifies a ComfyUI workflow
ComfyUI executes it
Results go back to the LLM

This is used for automation and agent-style workflows.

⭐ What LLMs are good for inside ComfyUI

🖼 1. Prompt generation

Auto-create:

Detailed Stable Diffusion prompts
Character descriptions
Scene variations
Negative prompts

📝 2. Image captioning + image understanding

If you add nodes for CLIP/LLaVA/BLIP, an LLM can:

Describe images
Generate storyboards
Summarize scenes

🎬 3. Video or comic creation

LLMs generate:

Scripts
Narration
Scene breakdowns
Then ComfyUI handles the visuals.

🤖 4. Agent pipelines

A workflow where:

LLM decides what images to generate
ComfyUI produces them
LLM analyzes results
This is emerging but growing fast.

🥇 Summary: Can ComfyUI handle LLMs?

Feature	Supported?	How
Native LLM support	❌ No	Not in core ComfyUI
Run local LLMs	✔️ Yes	Custom community nodes
Use LLM APIs	✔️ Yes	Python nodes / API call nodes
LLMs generating prompts	✔️ Very common	Multiple extensions
Full conversational LLM UI	⚠️ Limited	Not the goal of ComfyUI

If you want…

I can help you with:

✅ Setting up AI pipeline: LLM → ComfyUI → ElevenLabs → Video
✅ Instructions for adding LLM nodes to ComfyUI
✅ A Python node that calls ChatGPT/Claude/Groq/Ollama from inside ComfyUI
✅ Recommendations for the best LLM prompt-generation workflow

What would you like to build?