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 can be a practical alternative when local VRAM, setup time, or long-running image and video workflows become the bottleneck. But the options are very different: some are managed ComfyUI products, while others are general GPU platforms that give you more control and more setup work.
What Even Is ComfyUI Cloud?
ComfyUI is an open-source, node-based interface for building image, video, and other generative AI workflows. Locally, the software is free, but your workload is limited by the hardware you own. Cloud options let you rent or consume GPU compute without buying a high-end GPU yourself.
The tradeoff is cost and setup time. Some platforms are one-click. Others expect you to know what a Docker image is.
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Quick Comparison: Top ComfyUI Cloud Platforms
| Platform | GPU / Compute | Current Pricing | Best For |
|---|---|---|---|
| Comfy Cloud (Official) | RTX PRO 6000 Blackwell, 96GB VRAM | 5 free runs; Standard $20/mo | Official hosted ComfyUI with minimal setup |
| RunComfy | 16GB–141GB VRAM; A6000, A100, H100, H200 and more | Pay as you go; from $0.99/hr for 16GB tier | Native ComfyUI, custom nodes, power users |
| ViewComfy | T4 through B200 | $0 platform fee + compute on Developer; T4 from $0.65/hr | Apps, APIs, teams, production workflows |
| RunPod | Varies by Pod and availability | Live GPU pricing; billed by usage | Developers who want infrastructure control |
| Comfy Deploy | Multiple GPU tiers | Usage-based, per-second GPU pricing | Teams and production deployments |
| ComfyICU | L4, A100, H100 | Free 5,000 credits; Basic from $10/mo | Serverless ComfyUI and API workflows |
| ThinkDiffusion | 16GB, 24GB, 48GB tiers | Hobby pay-as-you-go from $0.99/hr | Managed creative workspace with custom models/nodes |
| Google Colab | Accelerator availability varies | Free tier; Pro currently $9.99/mo | Notebook-based testing and experimentation |
| Vast.ai | Marketplace with many GPU types, including RTX 4090 | Live market pricing; rates fluctuate | Low-cost GPU rentals with manual setup |
| Kaggle Notebooks | Free P100 GPU access documented by Kaggle | Free, subject to weekly GPU quota | Experiments and light notebook use |
The Main Options, Actually Explained
1. Comfy Cloud (Official) — comfy.org/cloud
Comfy Cloud is the official hosted service from the organization behind ComfyUI. It runs in the browser with no local installation and currently uses NVIDIA RTX PRO 6000 Blackwell GPUs with 96GB VRAM. Comfy says the service includes 900+ pre-installed models and a curated set of supported custom nodes.
New users can currently try 5 GPU runs without a credit card. The Standard plan is $20/month ($16/month when billed yearly) and includes 4,200 monthly credits. Creator and Pro plans add features such as importing your own models and longer workflow runtimes. Credits are consumed by active GPU runtime and supported Partner Nodes rather than by time spent editing a workflow.
Official pricing: Comfy Cloud pricing
2. RunComfy — runcomfy.com
RunComfy provides a native ComfyUI environment in the browser, with support for custom models, LoRAs, custom nodes, saved workflow environments, and one-click serverless API deployment. Current GPU options span 16GB to 141GB VRAM.
Pricing is pay as you go and billed by the second. Current standard rates start at $0.99/hour for the 16GB tier, while an A100 80GB is listed at $4.99/hour and an H100 80GB at $7.49/hour. An optional Pro subscription provides discounted GPU rates and additional storage. These rates can change, so check the live pricing page before choosing a machine.
Official pricing: RunComfy pricing
3. ViewComfy — viewcomfy.com
ViewComfy is aimed at developers and teams that want to turn ComfyUI workflows into hosted apps or APIs. It supports custom ComfyUI environments, multiple GPU tiers, and per-second compute billing.
The Developer plan currently has no platform subscription fee: you pay only for compute. Published compute rates start at $0.65/hour for T4 and scale through higher-end GPUs such as A100, H100, H200, and B200. The Team plan is $30/month plus compute and includes $10 in monthly compute credits.
Official pricing: ViewComfy pricing
4. RunPod — runpod.io
RunPod is a general GPU cloud platform rather than a ComfyUI-specific product, but it publishes ComfyUI setup guides and supports community templates for running ComfyUI on GPU Pods. You get more infrastructure control than with a managed ComfyUI service, but you also take on more setup and environment management.
GPU prices vary by hardware, cloud type, and availability, so a fixed A100 price is not reliable over time. Use RunPod's current pricing page when estimating a workflow, and remember to include persistent storage costs if you need models and outputs to remain available between sessions.
Official sources: RunPod pricing · ComfyUI setup guide
5. Comfy Deploy — comfydeploy.com
Comfy Deploy is a managed ComfyUI platform focused on teams and deployment. It lets teams work from reproducible ComfyUI environments, install custom nodes and models, and deploy workflows using managed GPU infrastructure.
Pricing is usage-based, with GPU compute billed by the second. That makes it more appropriate to compare by the exact GPU and runtime you need rather than by a single flat monthly price. It is a better fit for collaborative or production workflows than for someone who only wants an occasional free notebook.
Official pricing: Comfy Deploy pricing
6. ComfyICU — comfy.icu
ComfyICU is a serverless ComfyUI platform that charges for GPU execution rather than idle editing time. It provides a browser workflow editor, preloaded models and nodes, and API deployment for ComfyUI workflows.
The current Free plan includes 5,000 credits per month. Paid plans start at $10/month, with L4, A100, and H100 access depending on the tier. Published GPU rates are credit-based and charged per second of execution, so it can be a useful option when your workloads are intermittent rather than continuously occupying a GPU.
Official pricing: ComfyICU pricing
7. ThinkDiffusion — thinkdiffusion.com
ThinkDiffusion provides managed cloud workspaces for ComfyUI and other generative-art interfaces. It supports uploading your own models, installing custom nodes and extensions, and keeping files in a private workspace.
The Hobby option has no subscription and uses pay-as-you-go machine rates. Current standard rates are $0.99/hour for 16GB VRAM, $1.75/hour for 24GB, and $2.50/hour for 48GB. New sign-ups currently include 15 free minutes. TD-Pro adds storage, monthly credits, and discounted machine rates.
Official pricing: ThinkDiffusion pricing
8. Google Colab — colab.research.google.com
Google Colab is a hosted notebook environment, not a dedicated ComfyUI cloud service. You can run community ComfyUI notebook setups, but accelerator type, availability, and runtime limits are not guaranteed on the free tier.
Colab currently has a free tier, while Colab Pro is listed at $9.99/month with 100 compute units per month. Treat Colab as a testing or notebook option rather than assuming a specific GPU such as a T4 will always be available.
Official pricing: Google Colab paid services
9. Vast.ai — vast.ai
Vast.ai is a GPU marketplace rather than a managed ComfyUI product. You choose an available machine, configure the environment, and pay according to the current marketplace rate. This can be cost-effective if you're comfortable with containers and troubleshooting.
Prices move with supply and demand. At the time of this verification, Vast.ai showed RTX 4090 offers starting around $0.13/hour, with a higher median rate. That number is only a snapshot, not a fixed price, so use the live marketplace before making a cost comparison.
Official pricing: Vast.ai live GPU pricing
10. Kaggle Notebooks — kaggle.com/code
Kaggle Notebooks provides free notebook compute with GPU access, including NVIDIA P100 GPUs according to Kaggle's current documentation. Community notebooks can be adapted for ComfyUI experiments, but Kaggle is not designed as a persistent ComfyUI hosting service.
Kaggle documents a weekly GPU quota of around 30 hours, sometimes higher depending on demand and available resources. Because quotas and accelerator availability can change, it is better suited to experimentation than to a production ComfyUI workflow that needs predictable uptime.
Official source: Kaggle GPU usage guidance
FAQ: Things People Actually Ask
What's the best ComfyUI cloud service overall?
Is there a free option?
Can I use my own custom models?
What about AnimateDiff or video workflows?
ComfyUI cloud vs. local — is it faster?
How do I move my local workflows to the cloud?
If You're Trying to Pick One
A practical shortlist based on the current product documentation:
- No tech knowledge, just want it to work: Comfy Cloud official
- Native ComfyUI with custom models and nodes: RunComfy
- Building a product or API: ViewComfy or Comfy Deploy
- Maximum control, comfortable with the command line: RunPod or Vast.ai
- Free testing: Comfy Cloud, ComfyICU, Google Colab, or Kaggle, subject to each service's limits
- Managed creative workspace: ThinkDiffusion
The best choice depends on whether you value convenience, custom-node freedom, predictable managed infrastructure, or the lowest available GPU price. Start with a small test workflow, confirm that all required models and custom nodes are supported, and compare the total cost for your actual usage before committing to a paid plan.