Skip to main content

www.nuvulabs.ai | Install missing models & custom nodes, production ready VFX & film subgraphs and workflows for secure offline generation, and dependency installations including SageAttention and Triton.

Project description

Nuvu-logo

Nuvu - Private AI Generation for ComfyUI

Usage License: Nuvu Labs grants you a limited license to run the Nuvu plugin inside ComfyUI for its intended functionality in commercial or non-commercial workflows. Any other commercial use—including copying, modifying, sublicensing, or redistributing this code or derivative works—requires prior written consent from Nuvu Labs.

Nuvu makes private AI generation in ComfyUI effortless — built for film and VFX artists who demand privacy, polish, and more time to create. A plug-in right in ComfyUI, which makes the newest, professional-level, workflows a click away.

About Nuvu Labs

Nuvu Labs is an agency that excels at implementing, scaling, and finetuning AI pipelines in the film and VFX industries. We focus on security and data because your content is your backbone, and uploading your content to any cloud AI service risks your content becoming training material in the future.

Quick Links to Official Documentation

For complete guides, tutorials, and feature documentation, visit our documentation site (external): docs.nuvulabs.ai

The Nuvu Advantage

The Nuvu Plug-in for ComfyUI gives you instant access to premium workflows specifically designed for production pipelines. The Nuvu difference is when you download a workflow, you get everything needed to run the workflow. No more searching for obscure custom nodes or models. On top of that, the workflows are condensed into easy-to-use subgraphs that can be searched just like any node. Let's walk through an example.

Let's install Z-Image-Turbo alt text

After clicking Install, all workflows, subgraphs, custom nodes, and models for running Z-Image-Turbo will install. alt text

Now let's restart ComfyUI, and check out what was installed for us!

This is the workflow that was downloaded. It contains a Z-Image-Turbo subgraph with documentation for what all of the inputs and outputs of the subgraph do. The models were already installed, so just click "Run" and as long as you have the VRAM to run the workflow, it will run immediately.

alt text

Here is the searchable subgraph. Search for it as you would any other node, and connect it into your favorite image-to-video workflow or anywhere else you'd like. alt text

Nuvu has created an extremely efficient pipeline for getting workflows into your hands quickly, so when a new model is released, Nuvu is committed to delivering the capability to you quickly and seamlessly.

Installing Nuvu

Nuvu Labs offers a variety of ways to install the Nuvu Plug-in into ComfyUI for optimal convenience. For detailed installation guides with screenshots, visit docs.nuvulabs.ai/installation.

Auto-Installers

Download the applicable script for your system from the Nuvu releases page.

Windows Install

  1. Install git through the instructions found on the GitHub website: GitHub Git install instructions
  2. Place the .bat file in the folder where you want to install ComfyUI-Nuvu
  3. Double-click the .bat file to start installation
  4. Inside the ComfyUI folder, double-click run_comfy.bat to launch
  5. Navigate to http://localhost:8188 in your browser

Full Windows installation guide

Linux Install

  1. Place the .sh file in the folder where you want to install ComfyUI-Nuvu
  2. Open a terminal and run: ./linux_install_nuvu_comfy.sh
  3. Inside the ComfyUI folder, run run_comfy.sh to launch
  4. Navigate to http://localhost:8188 in your browser

Full Linux installation guide

Comfy Manager

If you already have ComfyUI installed:

  1. Install and open ComfyUI-Manager
  2. Search for "Nuvu" and click Install
  3. Click Restart after installation completes
  4. Refresh your browser — you should see the Nuvu button in your toolbar

Full Comfy Manager installation guide

RunPod Template

Deploy ComfyUI with Nuvu in the cloud instantly:

  1. Sign up for RunPod: https://runpod.io?ref=ffbuz4zw
  2. Deploy the Nuvu template: Deploy on RunPod
  3. Set up network storage (500GB+ recommended)
  4. Select CUDA 12.8 or 12.9 and your preferred GPU
  5. Click Deploy On-Demand

Full RunPod installation guide

Docker

docker run -d \
  --name comfy-nuvu \
  --gpus all \
  -p 8188:8188 \
  -p 8888:8888 \
  -v /path/to/workspace:/workspace \
  docker.io/nuvulabs/comfyui-nuvu:latest

Full Docker installation guide

Next Steps

After installing Nuvu:

  1. Create an Account — Sign up for free
  2. Subscribe to Premium — Unlock 100+ workflows
  3. Explore Features — Workflow Installer, Subgraphs, Model Installer, and more

Support

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

comfyui_nuvu-1.0.72-cp39-abi3-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.9+Windows x86-64

comfyui_nuvu-1.0.72-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

File details

Details for the file comfyui_nuvu-1.0.72-cp39-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for comfyui_nuvu-1.0.72-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 c8f589bc04c71f0c59bb003cf985acbba731bc90f64c02c43e9834c1bee8958f
MD5 ad8e0253b8bbfffe7afda121debe8c40
BLAKE2b-256 f54b00ad6b163bbdaa33c0d808c425847a31fd52d0d3b60f39f71a20881dc8eb

See more details on using hashes here.

Provenance

The following attestation bundles were made for comfyui_nuvu-1.0.72-cp39-abi3-win_amd64.whl:

Publisher: build-and-deploy.yml on nuvulabs/ComfyUI-Nuvu-Packager

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file comfyui_nuvu-1.0.72-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for comfyui_nuvu-1.0.72-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 678dddf0b9ab1073e4ec1cc91c9b1862d063e9c1851d5207d52714ff081d199a
MD5 c5d2d5a160e8649e2c308b8847c01a2e
BLAKE2b-256 54f4f6c8c9d99992bda74addf8afa4d65dbb760bacd1dca63436db7896cf48c8

See more details on using hashes here.

Provenance

The following attestation bundles were made for comfyui_nuvu-1.0.72-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: build-and-deploy.yml on nuvulabs/ComfyUI-Nuvu-Packager

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page