Running in ~30 s
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
Template · Image generation · CUDA 12.4
Run SwarmUI on a cloud GPU, in 30 seconds
A ComfyUI-backed UI that scales generation across multiple GPUs. SwarmUI (formerly StableSwarmUI) is a friendly front end over a ComfyUI backend that can drive several GPUs at once. One machine with 4× or 8× cards becomes a small generation farm with a single UI and API. From $0.131/hr on an interruptible RTX 4090.
Template is free
You pay the GPU price only: SwarmUI on a RTX 4090 is $0.262/hr on-demand, $0.131/hr interruptible, billed per second.
Volumes for state
Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.
Private by default
Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — Jupyter and SSH behind your own credentials.
Best GPUs for SwarmUI
Three price points that run this template well — Good, Better, Best. Every model in the catalogue works; these are the value picks.
| Tier | GPU | VRAM | On-demand | Interruptible | Why this card | Action |
|---|---|---|---|---|---|---|
| Good | RTX 4090 | 24 GB | $0.262 | $0.131 | Multi-GPU 4090 machines are the natural Swarm host. | Deploy |
| Better | RTX 5090 | 32 GB | $0.318 | $0.159 | 32 GB per card for Flux and video pipelines across the swarm. | Deploy |
| Best | L40S | 48 GB | $0.466 | $0.233 | 48 GB datacenter cards for an always-on generation service. | Deploy |
Need more VRAM? The full catalogue lists all 76 models with live availability; the VRAM guide sizes models to cards.
Deploy SwarmUI from the console, CLI or API
Pick the template in the console deploy bar, or script it:
- Console — filter by GPU, choose SwarmUI in the template picker, set disk and env, deploy.
- CLI — pip install powergpu, then the command on the right. CLI reference.
- API — POST /v1/instances with "template": "swarmui". REST reference.
- Own image — any OCI reference works too; we inject the NVIDIA runtime. Template docs.
$ powergpu launch --gpu rtx-4090 --template swarmui \
--disk 100 --volume models:/workspace/models
✓ instance i-7a41c0e2 running (27.9s)
# SwarmUI · RTX 4090 · $0.262/hr · per second
# https://i-7a41c0e2.powergpu.io:8888 (TLS)
$ powergpu stop i-7a41c0e2 # billing ends this secondWhat is inside the SwarmUI template
| Image | powergpu/swarmui |
|---|---|
| CUDA | CUDA 12.4 |
| Access | SSH shell · JupyterLab on a mapped port |
| Category | Image generation |
| Storage | Instance NVMe disk (sized at deploy) + optional network volumes |
| Billing | GPU price only, per second — no template fee, no setup fee |
Other image generation templates
ComfyUI on a cloud GPU — Node-based image and video workflows with ComfyUI-Manager pre-installed.
InvokeAI on a cloud GPU — A polished Stable Diffusion studio — canvas, layers and workflow nodes.
SD WebUI Forge on a cloud GPU — The Forge fork of the SD WebUI — faster attention, lower VRAM, same extensions.- SD WebUI A1111 on a cloud GPU — The classic AUTOMATIC1111 Stable Diffusion WebUI with the full extension ecosystem.
Fooocus on a cloud GPU — Prompt-and-go image generation — Midjourney-style simplicity on SDXL.- All 37 templates
SwarmUI on a cloud GPU: FAQ
Environment variables, ports and custom images are covered in the template docs.
How much does it cost to run SwarmUI on a cloud GPU?
Only the GPU price — the template is free. From $0.131/hr on an interruptible RTX 4090, $0.262/hr on-demand on a RTX 4090. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month.
How long does SwarmUI take to start?
About 30 seconds from the deploy click: the image is pre-cached on hosts, ports are mapped and TLS is terminated for you. Restarting a stopped instance is faster, and your disk is exactly as you left it.
Can I keep my models and outputs between sessions?
Yes — attach a volume at deploy. Everything on the volume survives instance destruction and mounts on the next instance in the region in seconds, at $0.08/GB/month. The instance disk itself survives stop/start but not destroy.
Does it really use all GPUs on the machine?
Yes — Swarm launches one ComfyUI backend per GPU and distributes queued generations across them automatically.