Productionization handled for you

Your workflow works. We make the runtime ready.

A working ComfyUI workflow is the starting point. Comfy Rail turns its models, custom nodes and dependencies into a reproducible, tested and maintained RunPod Serverless runtime behind a documented API.

01 · What you bring

Start with the creative result you already proved.

Working workflow

You bring an existing ComfyUI workflow that already produces the result your product or customer project needs.

Product requirements

You identify the required models and custom nodes, expected inputs and outputs, image limits and the product scenario the runtime must support.

02 · What Comfy Rail handles

We take on the infrastructure project behind the workflow.

Runtime mapping

We map the agreed workflow contract, models, custom nodes, package dependencies and target GPU profile into a bounded runtime specification.

Reproducible build

We pin compatible revisions, package the agreed stack and record model and component provenance for the intended commercial use.

RunPod integration

We prepare the image, endpoint configuration, API behaviour, input and output paths, health checks and supported RunPod deployment profile.

Runtime verification

We test reference inputs, validation failures, cold and warm execution, resource use, timeout behaviour and the accepted serverless path.

03 · What you receive

Acceptance is based on evidence, not a container tag.

Verified delivery

You receive private access to the agreed runtime image, its immutable digest, deployment guidance, the documented API contract and reference-test results.

Release boundary

The release record identifies supported profiles, known issues, component and model inventory, documented changes and the rollback path.

Technical acceptance

Each used runtime profile is verified with the agreed workflow and at least one complete RunPod job before technical acceptance.

Maintained runtime

After acceptance, Comfy Rail maintains the agreed release boundary through compatible updates, release notes and runtime-defect support.

04 · Who owns what

Clear responsibility after deployment.

Comfy Rail

Runtime engineering, packaging, RunPod integration, verification, release evidence and maintenance of the accepted stack.

Your organisation

The creative workflow and target result, integration of the documented API, users, billing, customer experience and product operation.

RunPod

GPU capacity, platform availability, regions, storage, network services and direct infrastructure billing through your own provider account.

Bring the working workflow. We will map what it takes to ship and maintain its RunPod runtime.

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