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RunComfy pricing, features, company info, and alternatives
A factual product page for RunComfy as a ComfyUI cloud platform with serverless deployment options.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for RunComfy, last verified Apr 25, 2026.
Pay as You Go
Usage-based
No subscription required; one shared balance covers Models, ComfyUI, and Trainer.
Pro
$19.99 / month
Billed $239.90/year on the yearly plan; monthly billing is also available.
What You Can Do With It
The main capabilities that shape how people use RunComfy today.
Runs native ComfyUI in the browser with no installation required and a fully configured cloud environment.
Lets you save workflows as reproducible cloud snapshots that bundle the workflow, OS, Python environment, ComfyUI, custom nodes, and models.
Turns any saved ComfyUI workflow into a serverless API with autoscaling, versioning, and live monitoring.
Supports hosted models, dedicated GPU machines, custom node installation, and model downloads from Civitai, Hugging Face, and Google Drive.
Best For
Who RunComfy is most clearly built for.
Creators who want to use ComfyUI in the cloud without local GPU setup.
Teams that need reproducible workflow environments they can share with collaborators.
Builders who want a ComfyUI workflow they can expose as a serverless API.
Platforms
Where you can use RunComfy today.
Web
API
Integrations
Notable connected tools and ecosystem hooks for RunComfy.
Civitai
Hugging Face
Google Drive
ComfyUI-Manager
Privacy Notes
Publicly stated data-handling notes that matter when evaluating RunComfy.
RunComfy says ComfyUI sessions and API deployments run in isolated instances dedicated to the account, and data, models, and outputs remain private.
The privacy page exposes Do Not Sell My Info and DSAR controls through Termly.
Access
How to integrate or build around RunComfy.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside RunComfy.
GPU cloud platform for training, inference, storage, and managed AI workloads.
Cloud API for running public and private AI models, training custom models, and deploying them on managed infrastructure.
Serverless AI infrastructure platform for inference, training, batch jobs, sandboxes, and notebooks.
Product Snapshot
RunComfy is a ComfyUI cloud platform for running workflows in the browser, saving reproducible cloud environments, and deploying those workflows as serverless APIs.
What You Can Do With It
- Run native ComfyUI in a fully configured browser environment without local installation.
- Save workflows as cloud snapshots that preserve the workflow, OS, Python environment, ComfyUI, custom nodes, and models.
- Turn a saved workflow into a serverless API with autoscaling, versioning, and live monitoring.
- Use hosted models, dedicated GPU machines, custom nodes, and model downloads from supported source libraries.
Why It Stands Out
RunComfy combines browser-based ComfyUI, reproducible workflow environments, and direct serverless deployment in one product. The public docs also split the platform into Model API, ComfyUI API, Trainer API, and MCP surfaces rather than a single monolithic interface.
Tradeoffs To Know
- Costs are usage-based, so total spend depends on GPU selection and workload.
- Pro changes pricing and storage, but it does not replace pay-as-you-go usage.
- The product is centered on ComfyUI workflows, so it is narrower than a general-purpose AI app builder.