Production AI Runtime for ComfyUI on RunPod

Your Workflows.
Your API.
Your Cost Control.

Run production-ready ComfyUI workflows in your own RunPod account — with full control over infrastructure, data and operating costs.

Comfy Rail production route A closed railway loop moves from a workflow or application through a one-time technical switch and runtime deployment, then continuously generates and returns outputs. SETUP / FIRST RUN 01Your Workflow / App WORKFLOW · PROMPT · API INPUT / APP 02Technical Fit SET ONCE · BEFORE FIRST RUN 03Deploy Runtime VERSIONED · VERIFIED · MAINTAINED GENEDITSCALE SERVERLESS RUN LOOP 04Generate WORKFLOW · GPU · RESULT 05Return Output YOUR APP · API · WEB SERVICE APP / API
01

Your Workflow / App

WORKFLOW · PROMPT · API

02

Technical Fit

SET ONCE · BEFORE FIRST RUN

03

Deploy Runtime

VERSIONED · VERIFIED · MAINTAINED

04

Generate

WORKFLOW · GPU · RESULT

05

Return Output

YOUR APP · API · WEB SERVICE

Production value

01

Ready to deploy

Start with a maintained runtime built around working production workflows.

02

Maintained over time

Receive versioned releases, documented changes and a stable integration contract.

03

Stable in production

Run verified runtime images in infrastructure and data paths you control.

Three specialised runtimes.

Bring the workflows your product already depends on. Comfy Rail packages the production runtime around them.

A workflow rail feeding a runtime and an architectural generated output

01 · GENERATE

Generate at Speed

Run production-ready ComfyUI generation workflows without rebuilding your infrastructure.

A sculptural object with marked original frame, edit region and reconstructed output

02 · EDIT

Edit Without Limits

Deploy advanced editing workflows with the models and custom nodes your product depends on.

A source detail enlarged into a production output with recovered surface detail

03 · UPSCALE

Upscale for Production

Process demanding, high-resolution outputs with a runtime built for production workloads.

Scale when needed.
Stop when idle.

Deploy Comfy Rail as a RunPod Serverless endpoint in your own account. Flex workers can scale to zero when idle, while you choose the supported deployment location and keep control of the endpoint configuration and billing.

RunPod bills Flex workers per second while they initialize and run. Configured idle timeout and storage are billed separately. See how Serverless billing works.

01

Scale to Zero

Flex workers can scale down completely when idle.

02

Pay Per Second

Compute is billed while workers initialize and run.

03

Choose Location

Select from supported RunPod data centers for your endpoint.

04

Direct Data Path

Your app calls the endpoint in your RunPod account, without a Comfy Rail-hosted inference proxy.

RunPod remains the cloud provider and data processor. Data protection depends on your selected location, storage, DPA and application configuration.

From working workflow
to production runtime.

  1. 01

    Bring your workflows

    Start with existing ComfyUI workflows that already produce the result your product needs.

  2. 02

    Deploy the runtime

    Launch the maintained runtime in your own RunPod account.

  3. 03

    Connect your API

    Integrate the documented contract with your SaaS, storage and product backend.

  4. 04

    Scale on demand

    Use Flex workers that can scale down completely when idle.

For teams already building with ComfyUI.

A strong fit

Working workflows, a SaaS or API product, a technical owner, and a preference for infrastructure, data and cost control.

Not the product

General workflow creation, basic installation help, a managed black-box API, or redistribution of runtime images.

What stays in your control?

Do you host the API for us?

No. You deploy in your own RunPod account and connect the documented API to your own product.

Do we need working ComfyUI workflows?

Yes. Comfy Rail productionises existing workflows; it is not a general workflow-development service.

What is included?

Generate, Edit and Upscale runtimes, versioned releases, deployment documentation, API Contract v1, reference integration material and onboarding within the defined support boundary.

Who pays for the GPU infrastructure?

RunPod bills your account directly. Flex workers are billed per second while they initialize and run; configured idle timeout, storage, hardware choice and usage also affect the total cost.

Bring your workflows.
We will show you the path.

No workflow files or secrets are required for the first conversation.

Request a Demo