AUTOMATIC1111 (stable-diffusion-webui)
The original SD power-user webUI.
OPEN SOURCE4–12 GB VRAM
VRAM fit4–12 GB
DATASHEET // COMFYUI
ComfyUI
The nodal workflow engine for serious diffusion.
OPEN SOURCE6–16 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKWorkflow Engine
Visit ComfyUIUPDATED 2026-05-19 · DIRECT LINK
HARDWARE REQUIREMENTS //
Runs locally · Mid GPU (12 GB)
Min VRAM
6 GB
Rec. VRAM
16 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
50 GB
GPU class
Mid GPU
CUDA 12.x (NVIDIA) or ROCm 6 (AMD) or MPS (Apple)Apple Silicon ✓GPU RequiredQuant: FP16, FP8, GGUF +1
SDXL needs ~8 GB VRAM. Flux dev FP8 fits in 12 GB. Hunyuan / Wan video want 24 GB+.
[ EDITORIAL PICK ]
Why we recommend ComfyUI
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if ComfyUI the company changes direction.
- Runs on 6 GB
Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.
- Apple Silicon
Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.
- Top-tier pick
Power-user score 98/100 — consistently rated highly by people who use this every day, not just benchmark chasers.
[ EVIDENCE NOTE ]
Documentation-led datasheet
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyAdvanced
It's a workflow engine — you'll be installing the host plus model files, custom nodes, and CUDA / PyTorch matching your card.
- Hardware comfortEntry-level
Fits on 6 GB cards — GTX 1660 / RTX 3050 territory.
- EcosystemHub
Other tools in our catalogue plug into ComfyUI — it's a workflow hub, not a leaf.
- VerificationRecent
Catalogue entry last updated 58 days ago — re-verification due soon.
[ COMMUNITY GUIDES & WORKFLOWS ]
Tutorials & deep-dives for ComfyUI
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
- YouTubeComfyUI Tutorial for Beginners — Complete Walkthroughyoutube.com
- YouTubeOlivio Sarikas — ComfyUI workflow deep-dives (channel)youtube.com
- Redditr/comfyui — workflow library & community helpreddit.com
- GitHubComfyUI Examples (official reference workflows)github.com
- ArticleCivitai — pre-built ComfyUI workflows you can drop incivitai.com
[ MORE IN THIS NICHE ]
Other heavy image generation tools we rate
Three picks across different tradeoffs — so you don't end up with three near-clones of ComfyUI.
LIGHTEST HARDWARE //
AUTOMATIC1111 (stable-diffusion-webui)
The original SD power-user webUI.
OPEN SOURCE4–12 GB VRAM
BEST FREE OPTION //
ComfyUI-Manager
Install, update, and govern ComfyUI custom nodes.
OPEN SOURCEVIA COMFYUI
TOP QUALITY //
InvokeAI
Production-leaning SD studio with canvas & batch.
OPEN SOURCE8–16 GB VRAM
What is ComfyUI?
ComfyUI is a node-based UI for Stable Diffusion / SDXL / Flux / SD3 / Hunyuan / Wan and everything in between. Every step of a pipeline — loader, sampler, conditioning, VAE, post — is a node you wire together. The de-facto platform for advanced image & video diffusion workflows.
Pros & cons
✓ PROS
- Most flexible diffusion pipeline anywhere
- Massive custom-node ecosystem
- First to support new models (Flux, SD3, Wan, Hunyuan)
- Workflows are JSON — share/version them in git
– CONS
- Steep learning curve — graph thinking required
- Workflows break when nodes update
- No first-class queue / multi-user out of the box
What's actually free?
Fully free and open source. You provide the hardware (or rent a GPU pod).
✓ Actually FreeNo SignupOpen SourceWatermark-Free
