Is Beemm Vision a hosted ComfyUI?

It shares the nodal idea — a graph of steps wired together — without the install, the custom node compatibility, the weights on disk or the GPU. It is not a ComfyUI clone: the node set is our own and the models are routed to providers rather than run from local weights.

Can I import a ComfyUI workflow?

No. A ComfyUI graph depends on specific custom nodes and local weights, so importing the JSON would produce a graph that cannot execute. Rebuilding the chain with the node set here is usually quick, because the steps map closely.

No. Generation runs on the providers’ infrastructure and is billed in credits per generation, so there is no machine to rent and nothing to pay for while you are not generating.

It depends entirely on your load. Continuous heavy batches on a GPU you already own are hard to beat on price. Irregular or bursty work is usually cheaper per generation here, because you pay for what you run rather than for a machine that waits.

Compare · vs ComfyUI

Beemm Vision vs ComfyUI — the same nodal power, without a local install.

ComfyUI is the de-facto open-source nodal AI editor — extraordinary if you're comfortable with Python, GPUs, custom_nodes and weekly merges. Beemm Vision keeps the nodal philosophy but moves it to a managed cloud workspace: 145+ frontier models pre-wired, multiplayer canvas, Scale and App modes, no install. If you're a team and your time is worth more than tinkering, that's the trade.

TL;DR

Both are nodal editors. ComfyUI is open-source, runs locally on your GPU or on Comfy Cloud, infinitely customisable. Beemm is hosted, batteries-included, with frontier closed models you can't self-host.
Beemm gives you 145+ frontier models out of the box (GPT Image, MiniMax, Gemini, Nano Banana, FLUX, Seedance…) — many of which simply cannot be run locally. ComfyUI focuses on open weights you self-host, and reaches closed models through its Partner Nodes.
Pick ComfyUI if you want full control, custom code, and don't mind the setup of a local install. Pick Beemm if you want to ship a result today, with your team.

Beemm Vision vs ComfyUI — feature by feature

We've kept this comparison factual. Where ComfyUI is genuinely stronger, we say so.

Feature	Beemm Vision	ComfyUI
Setup & infrastructure
Install required	no — opens in the browser	locally yes — Python, models, GPU drivers, custom_nodes; no on Comfy Cloud
GPU required	no (cloud)	locally yes (24 GB VRAM recommended for SD3 / FLUX); no on Comfy Cloud
Time to first generation	< 60 seconds	locally 1–3 hours (downloads + setup); no install on Comfy Cloud
Maintenance	managed	locally yours to maintain (custom nodes, models); managed on Comfy Cloud
Model lineup
Frontier closed models (FLUX 2 Pro, GPT Image, MiniMax, Nano Banana, Seedance…) These cannot be self-hosted — they need provider routing.	yes (all wired in)	yes, through Partner Nodes (OpenAI, Kling, Luma…)
Open-weight models (SDXL, FLUX dev, AnimateDiff…)	Partial	yes (vast catalog via custom_nodes)
Total models pre-wired	145+	unlimited via custom_nodes (DIY)
Workflow features
Visual nodal editor	Yes	yes (the gold standard)
Branching, versioning, replay	Yes	partial (workflow versions on Comfy Cloud)
Batch runs over a spreadsheet	yes (Scale mode)	partial (lists and batches; spreadsheets not documented)
Run through a simplified form / app	yes (App mode)	yes — App mode (recent), apps in beta
Custom code / Python nodes	Partial	yes — fully programmable
Collaboration
Multiplayer canvas	Yes	not documented
Shared workspace / team accounts	Yes	yes on Comfy Cloud (team workspaces)
SSO, audit logs, DPA	yes (Enterprise)	not documented
Pricing & ownership
License	SaaS (no self-host)	Open source (GPL-3)
Cost	Free (100 credits) + Starter from €24 / month	Free software, but you pay GPU + infra
Outputs ownership	You own outputs	You own outputs

Where ComfyUI is genuinely better

ComfyUI is the most powerful open-source AI tool ever built. If you need Python control, custom samplers or research-grade tweaks, nothing beats it.
The custom_nodes ecosystem is enormous. Almost any new technique appears on GitHub before any SaaS catches up.
ComfyUI is free as in freedom — you can run it offline, on-prem, or for clients with strict data-residency rules. Beemm cannot match that.
If you're a researcher or a power user prototyping new pipelines, ComfyUI's flexibility is a clear win.

What the table cannot tell you about ComfyUI

The graph is the same idea. The maintenance is not.

Both tools think in nodes, and that is the right mental model. The difference is everything around it: local ComfyUI expects you to install it, keep custom nodes compatible, manage model weights on disk and find a GPU (Comfy Cloud removes that). A hosted canvas has none of that, and a graph that worked last month still works today.

Where the models come from

Local ComfyUI runs open weights you download, and reaches closed models such as OpenAI, Kling or Luma through its Partner Nodes. Beemm Vision routes every model to its provider, so nothing runs from local weights and there is no key to manage per vendor.

Collaboration and handover

Locally, a ComfyUI graph is a JSON file on one machine; Comfy Cloud adds team workspaces and App mode. Real-time co-editing of the same graph, which Beemm Vision has, is not documented for ComfyUI. Here a finished graph also publishes as an app with input fields for people who will never open the canvas.

What it costs to run

Local ComfyUI is free once you own the GPU; rented, you pay for the machine whether it is generating or idle. Credits are paid per generation instead, which is a worse deal at constant heavy load and a better one for the bursty, irregular work most teams actually do.

Which one to pick

Choose Beemm Vision when

You want the nodal model without installing, updating or babysitting anything.
Several people edit the same graph at the same time.
Your load is bursty and paying for an idle GPU makes no sense.
You want euro billing and a French publisher.

Choose ComfyUI when

You want full control over weights, samplers, LoRAs and every node in the chain.
You already own a GPU and run heavy, continuous batches.
You depend on community custom nodes with no hosted equivalent.
Your data must never leave your own machine.
You want to modify the pipeline code itself, not just its parameters.

Frequently asked questions

Is Beemm Vision a hosted ComfyUI?: It shares the nodal idea — a graph of steps wired together — without the install, the custom node compatibility, the weights on disk or the GPU. It is not a ComfyUI clone: the node set is our own and the models are routed to providers rather than run from local weights.
Can I import a ComfyUI workflow?: No. A ComfyUI graph depends on specific custom nodes and local weights, so importing the JSON would produce a graph that cannot execute. Rebuilding the chain with the node set here is usually quick, because the steps map closely.
Do I need a GPU?: No. Generation runs on the providers’ infrastructure and is billed in credits per generation, so there is no machine to rent and nothing to pay for while you are not generating.
Which is cheaper?: It depends entirely on your load. Continuous heavy batches on a GPU you already own are hard to beat on price. Irregular or bursty work is usually cheaper per generation here, because you pay for what you run rather than for a machine that waits.

One canvas. 145+ models. No license juggling.

Start free with 100 credits. No card, no API key, no setup.

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