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Screenshot of SwarmUI

// official site: github.com ↗

AI / LLM · PRO TIER

SwarmUIpro

SwarmUI (formerly StableSwarmUI) is a multi-backend Stable Diffusion orchestrator by mcmonkey (Stability AI alumnus) — combines ComfyUI as a backend with a polished, A1111-style frontend, adding multi-GPU support, batch automation, model management, and account system. Production-grade by design.

🤖 AI / LLM Min 8192 MB RAM Port 7801 (http) Tier pro
// What it is

A closer look.

SwarmUI (formerly StableSwarmUI) is a multi-backend Stable Diffusion orchestrator by mcmonkey (Stability AI alumnus) — combines ComfyUI as a backend with a polished, A1111-style frontend, adding multi-GPU support, batch automation, model management, and account system. Production-grade by design.

The answer for teams that want "ComfyUI power without ComfyUI's learning curve".

// Use cases

What it's for.

Concrete scenarios where teams pick SwarmUI over the SaaS alternative.

Modern unified UI

better than raw ComfyUI for browse/batch

Multi-GPU automatic load balancing

queue jobs across GPUs

Batch generation

image grids, parameter sweeps

Workflows tab

full ComfyUI accessible underneath

Model Manager

visual install/download

Account system

+ per-user quotas

API-ready

REST endpoints for automation

// Who it's for

Built for these teams.

If your team profile matches one of these, SwarmUI is a strong fit out of the box.

Profile A

Production teams

needing ComfyUI power + A1111 UX

Profile B

Multi-user environments

(studios, agencies, hosting providers)

Profile C

Multi-GPU setups

wanting automatic distribution

Profile D

Workflows authors

wanting one platform for design + production

Profile E

Hosting providers

selling self-hosted SD with account management

// Differentiators

Why teams pick SwarmUI.

When evaluating self-hosted options for this category, here are the dimensions on which SwarmUI consistently lands above the alternatives.

  • MIT licensed — fully open
  • ComfyUI under the hood — full node power when you need it
  • Modern UI — fast SPA, much nicer than vanilla ComfyUI
  • Multi-GPU built-in — load balance automatically
  • Account system day one — quotas, user separation
  • mcmonkey backing — Stability AI alumnus, deep SD knowledge
  • Generated workflows reusable — same JSON loads in raw ComfyUI
// Integrations

Connects to.

The stack you'll plug SwarmUI into — services, protocols, and adjacent apps in the BluixApps catalog.

ComfyUI backend
every ComfyUI workflow runs here
Multi-backend
ComfyUI + A1111 simultaneously
API
REST endpoints (different from A1111 / ComfyUI native API)
OIDC / OAuth
via reverse proxy for SSO
Multi-GPU
automatic round-robin or priority assignment
CivitAI
direct browser + download
HuggingFace
model search + install
Reverse proxy
for production HTTPS
// Adoption & deployment

Notable users & community

  • 1.5k+ GitHub stars (newer, growing fast)
  • Backed by Stability AI ecosystem
  • Production deployments in design studios
  • Active Discord
  • Stability AI internal teams use it for prototype/demo workflows

What we ship

  • Cloned mcmonkeyprojects/SwarmUI repo
  • .NET 8.0 base image with Python + git + wget pre-installed
  • launch-linux.sh with --host 0.0.0.0 --port 7801
  • Persistent volumes: repo, Models (checkpoints/LoRA/VAE/ControlNet), Output
  • Install report at /root/bluixapps/stableswarmui.txt
  • GPU pre-flight check via bluixapps_ensure_nvidia_runtime
  • Backup hook covers Models + Output + accounts DB
  • Best-fit positioning for multi-user setups in install report
// Tips & operations

Run it properly.

Operational guidance from running this in production — what to lock down, what surprises people.

// PERFORMANCE
Boot time
8-12 min first run (downloads .NET + ComfyUI bootstrap)
// SECURITY
Account creation
first user is admin, set username/password
// OPERATIONS
Models path
/SwarmUI/Models organized by type (Stable-Diffusion, LoRA, VAE, ControlNet)
// RELIABILITY
Multi-GPU
automatic; configure priority in Settings
// DEPLOYMENT
Workflows
build in Generate tab, save, batch via API
// SCALING
Production
reverse proxy + HTTPS, account quotas enforced
8192
// min ram (MB)
30
// min disk (GB)
7801
// access port
http
// protocol
pro
// bluixapps tier

Project resources

Official sitegithub.com ↗