ViewComfy

The honest framing is that ViewComfy is a distribution layer, not a workflow builder. You bring the graph; it handles nodes, models, GPU and auth so other people can actually use what you made. That's a narrower promise than the no-code platforms, and a more useful one if your team already thinks in nodes. When to pick it: you have ComfyUI workflows that work, and the pain is sharing them. An AI engineer who needs an API endpoint without writing infrastructure glue. A studio where artists need to run workflows but not install anything. An agency running separate apps per client and wanting per-account usage numbers. The Developer tier at $0 + compute is a fair way to test whether the abstraction holds for your graph before paying for seats. When to pass: if nobody on the team has touched ComfyUI, this is the wrong door. It won't teach you nodes. Hobbyists should also look elsewhere — a long H100 or B200 job at $8.42 or $13.32 per hour racks up fast, and there's no clever trick around that arithmetic. And if SSO, white label or S3 output integration is a hard requirement now, budget for Enterprise rather than assuming Team or Studio will cover it. Versus the closest alternative: Comfy Cloud is the natural comparison point, and the split usually comes down to whether you want a managed ComfyUI experience or a deployment platform wrapping your own workflows. ViewComfy leans deployment, with GPU selection, concurrency caps per tier and API-first thinking. If you're migrating off a shutting-down hosted platform — Invoke's hosted services ended in October 2025 — the migration question is how much of your graph depends on custom nodes, since ViewComfy's private-node support is where that port either works or doesn't. In practice, the cold-start story matters more than the