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ModelPilot

Free workflow checker

Know what your
workflow needs.

Check your ComfyUI JSON for custom nodes, model files and estimated GPU memory before you start setting up.

No account requiredNo GPU startedFrontend & API JSON

01 / Your workflow

Frontend or API format

Paste below, drop a .json file, or browse your computer. The check analyzes dependencies; it does not start a GPU or run the workflow.

Export from ComfyUI: Menu → Save (API Format)

Before you deploy

What the report includes

Custom nodes

See which packages your workflow references, where resolved packages come from, and which nodes still need attention.

Model files

Find the checkpoints, LoRAs, VAEs and other model files you need. Review available download links and missing sources.

GPU requirements

Get a memory estimate and recommended GPU size. Your actual needs also depend on resolution, batch size and model versions.

Using the checker

Workflow checker questions

Where do I get my workflow JSON?

Export your workflow from ComfyUI using Menu → Save. The checker accepts frontend and API-format JSON. Paste it above, browse for the file, or drop it into the input area.

What happens when I check a workflow?

The workflow JSON is sent securely for server-side analysis and is not stored. You receive a report of recognized nodes, model references and estimated GPU requirements. The check does not execute your graph or start a paid deployment.

Does a successful check guarantee it will run?

A successful check is not an execution guarantee. Custom-node versions, model files, available memory and runtime settings can still affect execution. Use unresolved dependencies and warnings to decide what needs fixing before you deploy.

What if I don’t have a workflow yet?

Explore an existing workflow to start with a specific task and supported setup.

Explore workflows

Direct answer

What should I check before deploying a custom ComfyUI workflow?

Check its custom-node packages, model files and GPU memory requirements. ModelPilot’s free checker reads frontend or API-format workflow JSON and produces a dependency report before you choose a deployment.

Key facts

  • iNo signup is required for the compatibility check.
  • iFrontend and API-format ComfyUI workflow JSON are supported.
  • iA dependency check does not run the workflow.

Next step

  1. 1Review unresolved nodes, missing model sources and memory estimates.
  2. 2Resolve the remaining dependencies before opening a deployment.

Keep in mind

  • A successful check does not guarantee runtime compatibility.
  • Review the usage rights for your model and LoRA files.