If you've spent any time with ComfyUI locally, you know the drill. You queue up an AnimateDiff workflow, your fans start sounding like a jet engine, and you wait. Then your 8GB GPU runs out of VRAM and the whole thing crashes.
ComfyUI Cloud is the obvious fix. But the options are all over the place — some are polished products, some are raw GPU rentals where you're basically configuring Docker yourself. I've gone through the main ones, so you don't have to waste an afternoon figuring out which is which.
What Even Is ComfyUI Cloud?
ComfyUI is a node-based interface for running Stable Diffusion and other generative AI models. Locally, it's free but limited by your hardware. In the cloud, you get access to A100s, H100s, and other GPUs without buying any of them.
The tradeoff is cost and setup time. Some platforms are one-click. Others expect you to know what a Docker image is.
Quick Comparison: Top ComfyUI Cloud Platforms
| Platform | GPU | Starting Price | Best For |
|---|---|---|---|
| Comfy Cloud (Official) | A100 40GB | Pay-per-minute, free credits | No-setup beginners |
| RunComfy | A100 / H100 | $0.00065/sec | Workflow power users |
| ViewComfy | RTX → H100 | Free 1hr/day | Teams and API users |
| RunPod | A100 | $0.29/hr | Developers, SSH users |
| MOGE Comfy Cloud | A100 | $29/mo unlimited | Heavy daily users |
| ComfyICU | Varies | Free public / $0.50/hr | Community workflow sharing |
| ThinkDiffusion | RTX A6000 | $0.49/hr | Full Windows desktop experience |
| Google Colab | T4 | Free (Pro $10/mo) | Testing on a budget |
| Vast.ai | RTX 4090 | ~$0.20/hr | Cheapest option (manual setup) |
| Kaggle Notebooks | P100 | Free (20hr/week) | Light use, no budget |
The Main Options, Actually Explained
1. Comfy Cloud (Official) — comfy.org/cloud
This is the one built by the same people who make ComfyUI. It runs in your browser, has 200+ preloaded models and custom nodes, and uses A100 40GB GPUs. New users get free credits.
It's the easiest starting point if you're coming from local ComfyUI and just want to run your existing workflows without configuring anything. The pay-per-minute model is fair if you're not running jobs all day.
2. RunComfy — runcomfy.com
RunComfy is what most people land on once they outgrow Colab. One-click workflow loading, A100 and H100 options, and support for custom nodes. Persistent storage means your models stay between sessions.
Pricing is $0.00065 per second, which works out to roughly $2.34/hr. That's mid-range, but the convenience is worth it for most people.
3. ViewComfy — viewcomfy.com
ViewComfy is aimed at teams and developers rather than solo artists. It gives you API endpoints so you can trigger ComfyUI workflows programmatically — useful if you're building a product on top of it.
The free tier gives you one hour per day, which is actually enough for testing. Paid plans scale from RTX-class up to H100.
4. RunPod — runpod.io
RunPod isn't a ComfyUI product specifically — it's a GPU rental platform with ComfyUI templates. You spin up a pod, SSH in if you want, and run your workflows. More control, more setup.
A100 access starts at $0.29/hr, and spot pricing can drop that by 70%. If you're comfortable in a terminal, this is one of the better value options.
5. MOGE Comfy Cloud — moge.ai/product/comfy-cloud
MOGE stands out because it supports WAN 2.2 video generation, which most platforms don't handle cleanly. The $29/month unlimited plan makes sense if you're generating a lot — it's cheaper than pay-per-use once you hit a certain volume.
6. ComfyICU — comfy.icu
ComfyICU is more of a community platform. You can share workflows publicly for free, or run private ones at $0.50/hr. It supports popular custom node packs like Impact Pack, and you can upload your own models.
Good for finding what other people are building, less ideal as your main production environment.
7. ThinkDiffusion — thinkdiffusion.com
ThinkDiffusion gives you a full Windows desktop environment in the cloud, with ComfyUI and a bunch of other tools pre-installed. It's $0.49/hr on RTX A6000 GPUs.
This is for people who want everything set up exactly like their local machine — including a browser-based remote desktop. Persistent storage keeps your files between sessions.
8. Google Colab — colab.research.google.com
Free T4 GPUs, 12GB VRAM, sessions that time out if you're not actively using them. Colab is fine for testing a workflow before committing to a paid platform, but it's frustrating as a daily driver. The T4 can't handle larger SDXL or Flux workflows well.
Pro is $10/month and gets you faster GPUs and longer runtimes. Still not the smoothest ComfyUI experience, but it's hard to argue with the price.
9. Vast.ai — vast.ai
Peer-rented GPUs. RTX 4090 for around $0.20/hr is genuinely cheap. The catch is you're setting up Docker manually, which takes a bit of effort the first time. Once you have a template saved, repeat sessions are easier.
Not beginner-friendly. Very good value if you know what you're doing.
10. Kaggle Notebooks — kaggle.com/code
Free P100 GPUs, 20 hours per week, no credit card needed. ComfyUI notebooks exist in the community section. It's slow, and the interface isn't designed for this, but zero cost is zero cost.
FAQ: Things People Actually Ask
If You're Trying to Pick One
Here's the honest version:
- No tech knowledge, just want it to work: Comfy Cloud official
- Regular use, want to save money: RunComfy or MOGE ($29/mo)
- Building a product or API: ViewComfy
- Maximum control, comfortable with the command line: RunPod or Vast.ai
- Zero budget: Google Colab or Kaggle (with patience)
- Full desktop experience: ThinkDiffusion
The cloud ComfyUI space has gotten competitive enough that you don't have to compromise much. Pick one, try it for a week, and see if it fits how you actually work.