NewComfyUI on a Mac too

Hinode: ComfyUI in the cloud that keeps your nodes and models

Install ComfyUI in one click and render on a GPU with up to 96 GB of VRAM. Your custom nodes, models and LoRAs are still there next time. Open it in your own browser on a Mac or PC, and pay by the minute.

Machines from $1.75/hr · ComfyUI in one click
Pauses itself when idle

Sign up here. ComfyUI opens on your computer.

localhost:8188 · ComfyUI on comfy-48

KSamplerLATENT
seed1142
steps28
cfg3.5

18 / 28 steps

Save ImageIMAGE
comfy-48Running · 18m
VRAM
48 GB
RAM
64 GB
Rate
$3.96/hr

Opened with hinode open comfyui

Still here from yesterday14 nodes · 38 GB of models · 6 LoRAs

The problem

Rented GPUs forget everything

A pod is built to be thrown away. Your setup is not. The same evening, two ways.

Rented GPU pod
pod-7f3a · H100
$ rsync -r models/ loras/ pod-7f3a:
sent 31.4 GB · 22 min
$ python generate.py --batch 24
done · 24 images · 214 s
Terminating instance and cleaning up...
models/loras/outputs/

A pod is gone when you stop it. Models, custom nodes and outputs go with it. Tomorrow you upload 31 GB again.

Hinode
✓ resumed · same desktop
Files — ~/shared
models/
loras/
outputs/
ComfyUI — Image Generation
paused · $0.00/hr

Hinode pauses instead. The card stops billing, the disk keeps everything, and Resume brings back the same desktop.

From a Mac

Run ComfyUI on a Mac with a cloud GPU

ComfyUI runs on an NVIDIA card in the cloud, and your Mac shows it in a browser tab. The machine keeps your nodes and models between sessions.

  1. Install once · on the workspace

    ~ — zsh

    $ hinode apps install comfyui

    $ hinode env promote

    snapshot v4 saved

  2. Pick the card · for the model

    comfy-48Running

    L40S · 48 GB · $3.96/hr

    pauses itself after 15 idle min
  3. Open it · in your browser

    Your browser · localhost:8188

    ComfyUI in a tab on your Mac

    hinode open comfyuiforwards the machine's port to your computer and opens a tab. The port is never open to the internet.

Machines

Rent a GPU with 24, 48 or 96 GB of VRAM

Pick the VRAM and RAM the job needs. The machine starts with your apps on it and bills by the minute.

Rented GPU pod
pod-9c21 · L4 · 24 GB

$ comfy run flux_video.json

loading wan2.2 · 31.2 GB

CUDA out of memory

job killed · 11 min lost

VRAML4 · 24 GB

The job dies. The model needs more memory than the card has, and a bigger pod starts empty.

Hinode

Attach a machine

GPU memory

24 GB
L4
48 GB
L40S
96 GB
RTX PRO 6000

System RAM

64 GB
128 GB
256 GB
Snapshot v4 · currentComfyUI, PyTorch
Attach · $9.56/hr
comfy-96 · 96 GB

$ comfy run flux_video.json

loading wan2.2 · 31.2 GB

✓ loaded · 31.2 / 96 GB

rendering 81 frames ...

VRAMRTX PRO 6000 · 96 GB

Start the card the job needs. From $1.75 to $12.58 an hour. Pause it or delete it when the render is done.

Apps

ComfyUI, vLLM and Ollama, installed in one click

Install from the workspace screen. What an app needs comes with it. Save a snapshot, and the next machine starts with all of it.

ComfyUI

Installing · 64%

PyTorch

~3 GB

✓ Installed

JupyterLab

~50 MB

Queued · next

AI Toolkit

~8 GB

Install

+ 6 more in the catalog

2 apps are not in a snapshot yet

Save as v5
  • v4torch 2.5 and the new LoRA nodes

Shared folder

Write a checkpoint on one machine. Use it on the next.

Models, datasets and outputs live in one folder. The workspace and every machine read it at once, so there is nothing to copy and nothing lost when you delete a machine.

1train-48 finishes training and saves a LoRA

train-48 — terminal

$ python train_lora.py --steps 2000

step 2000/2000 · loss 0.041

saved → ~/shared/loras/

portrait-v3.safetensors

~/sharedone folder, every machine

2comfy-96 finds it in its LoRA list

ComfyUI — Load LoRA

lora_name

portrait-v2.safetensors
portrait-v3.safetensorsjust now
watercolor.safetensors

320 MB/s

reading one big model over four streams

653 MB/s

reading it again, from the machine’s cache

$0.11

per GB a month, only for what is in it

Local home

Python environments and git stay laptop-fast

Pricing

Cloud GPU pricing, by the minute

No plan and nothing up front. One bill at the end of the month, itemised by what ran.

WORKSPACE

$0.297/hr

A desktop on 1/8 of an NVIDIA L4, your files and your apps. Pauses itself when you leave.

Disk
$0.15 / GB-month written
Shared folder
$0.11 / GB-month
Traffic out
$0.10 / GB

MACHINE · 24 GB

from$1.75/hr

NVIDIA L4

Image generation, light fine-tuning, most ComfyUI work

32 GB RAM$1.7564 GB RAM$2.36128 GB RAM$2.73256 GB RAM$5.99

MACHINE · 48 GB

Popular

from$3.30/hr

NVIDIA L40S

Video models, bigger LoRAs, 30B-class inference

32 GB RAM$3.3064 GB RAM$3.96128 GB RAM$5.30256 GB RAM$7.97

MACHINE · 96 GB

from$8.05/hr

RTX PRO 6000 Blackwell

70B-class models, long video, what fits nowhere else

64 GB RAM$8.05128 GB RAM$9.56256 GB RAM$12.58

What a month costs

≈ $112/month

87 h of workspace $25.84 + 26 h on 48x32 $85.80. Disks and the shared folder are extra.

Create a workspace

These are the rates your invoice uses. The US and Europe cost the same.

Hinode vs RunPod

The same cards, with a computer around them

A 48 GB Hinode machine is the L40S RunPod rents, with a desktop, your apps and your files already on it.

HinodeRunPodVastLambdaHF Pro
GPUL40S · 48 GBL40S · 48 GBRTX A6000 · 48 GBA100 · 40 GBZeroGPU · shared
GPU accessDedicatedDedicatedDedicatedDedicatedQuota + queue
InterfaceDesktop, SSH, VS Code, AI assistantsSSH / JupyterSSH / JupyterSSH / JupyterSpaces (web)
When you stopPaused, files and apps keptLost on stopTied to one hostLost on terminateEphemeral
DevicesMac, Windows, Linux apps + ChromeBrowserBrowserBrowserBrowser

Swipe for Vast, Lambda and HF Pro →

FAQ

ComfyUI on Hinode: questions

Can I use my own custom nodes?

Yes. It is your machine: install nodes with ComfyUI-Manager or git clone, as on your own computer. Install them on the workspace and save a snapshot, and every new machine starts with them.

Does it work on a Mac?

Yes. ComfyUI runs on an NVIDIA GPU in the cloud, not on your Mac. hinode open comfyui opens it in your own browser, and the Hinode app for Mac can also show the machine's whole desktop.

Which GPU do I need?

24 GB runs image generation and most ComfyUI workflows. 48 GB fits video models and bigger LoRAs. 96 GB is for long video and models that fit nowhere else. You pick the card per machine, so each workflow can get its own.

Where do my models go?

In ~/shared/ComfyUI/models, in the shared folder every machine in the workspace reads. Download a model once and every machine you start has it. It costs $0.11 per GB-month for what is stored.

Can I train LoRAs too?

Yes. The AI Toolkit installs from the same catalog. Train on one machine, save the LoRA to the shared folder, and ComfyUI on the next machine finds it in its list.

How long does it take to start?

A paused machine resumes in a couple of minutes, and ComfyUI starts on it after that. Your nodes and models are already there, so nothing downloads again.

Can anyone else reach my ComfyUI?

No. Its port is never open to the internet. hinode open forwards it over SSH to your own computer only.

What does it cost?

A machine bills by the minute while it runs: from $1.75 an hour for 24 GB, $3.30 for 48 GB and $8.05 for 96 GB. It pauses itself after 15 idle minutes. There is no plan and nothing to cancel.

Install ComfyUI once. Open it from any computer.

Create a workspace, install ComfyUI in one click, and start a GPU when you render.

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