DEDUPED Hot AI repos, turned into use cases Get 5 a day

What you can do with Comfy UI

ComfyUI is an open-source node graph GUI, API, and backend for running diffusion models locally or in the cloud to generate images, video, audio, and 3D.

Trending today

Comfy-Org/ComfyUI on GitHub

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

4 use cases

  • Generate images from ready-made template workflows

    Install the desktop app, open a template, and queue your first image from a visual node graph.

    View prompt
    Using the ComfyUI repo at https://github.com/Comfy-Org/ComfyUI, load the template workflow for <target image type> from comfy.org/workflows, set its prompt to <prompt text>, queue it, and save the result. Expected output: one generated image file and a saved workflow JSON. Verify that the output image opens and matches the prompt.

  • Run image and video generation fully offline

    Install Comfy UI locally, start it with --offline, and keep generation off external services.

    View prompt
    Using the ComfyUI repo at https://github.com/Comfy-Org/ComfyUI, start ComfyUI in offline mode on <target machine> and run the workflow <workflow file> with the model stored at <model path>. Expected output: generated media files saved locally with no network calls to paid API nodes. Verify that the server log shows offline mode and that no outbound requests were made during the run.

  • Turn a complex workflow into a simple app or API

    Use App Mode and the local API to run a saved workflow from a form or a production pipeline.

    View prompt
    Using the ComfyUI repo at https://github.com/Comfy-Org/ComfyUI, save the workflow <workflow name> as JSON, expose its prompt input through App Mode, and submit it to the local API with the prompt <prompt text>. Expected output: one generated file returned by the API and the saved workflow JSON. Verify the API response status and that the output matches the prompt.

  • Run large open-source models on a modest GPU

    Use Comfy UI's memory management and quantized model support to run bigger models on a small GPU.

    View prompt
    Using the ComfyUI repo at https://github.com/Comfy-Org/ComfyUI, load a quantized version of <model name> on a machine with <GPU VRAM> VRAM and generate <output description>. Expected output: one generated file and a log showing the peak VRAM used. Verify the run finishes without an out-of-memory error.

How to use Comfy UI

  1. Check you have what it needs: A Windows or macOS computer for the desktop app, or a Windows, Linux, or macOS machine with a supported GPU for the manual install; A GPU with enough VRAM for the model you pick (the README says large models can run on as little as 4GB VRAM with 8GB RAM); Disk space for the model files you choose to download.
  2. Open Comfy-Org/ComfyUI on GitHub and read the README and license.
  3. Download the Desktop Application from https://www.comfy.org/download (available on Windows and macOS).
  4. Open a template from https://comfy.org/workflows and load it in Comfy UI.
  5. Change the prompt text in the text input node and set the model loader to a model you have installed.
  6. Press Ctrl + Enter to queue the current graph for generation.

These steps come from our top use case, Generate images from ready-made template workflows, which also has a copy-paste agent prompt.

Comfy UI alternatives · Best AI repos for Content

About this repo

  • Who it is forCreators, artists, and production teams who need full control over models and outputs and want to run them on their own hardware.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/Comfy-Org/ComfyUI · Back to Hot repos

Requirements

  • A Windows or macOS computer for the desktop app, or a Windows, Linux, or macOS machine with a supported GPU for the manual install
  • A GPU with enough VRAM for the model you pick (the README says large models can run on as little as 4GB VRAM with 8GB RAM)
  • Disk space for the model files you choose to download
  • Optional: a Comfy Cloud account or partner node access for paid hosted models
Maintain Comfy UI? Add the Featured on Deduped badge

Paste this into your README:

[![Featured on Deduped](https://dedupedai.com/badge/comfy-org-comfyui.svg)](https://dedupedai.com/use-cases/comfy-org-comfyui/?ref=badge)

More badge styles and HTML

Questions about Comfy UI

What is Comfy UI?

ComfyUI is an open-source node graph GUI, API, and backend for running diffusion models locally or in the cloud to generate images, video, audio, and 3D. It is an open-source project on GitHub: https://github.com/Comfy-Org/ComfyUI.

Who is Comfy UI for?

Creators, artists, and production teams who need full control over models and outputs and want to run them on their own hardware.

What can I do with Comfy UI?

4 use cases so far, for example: Generate images from ready-made template workflows; Run image and video generation fully offline; Turn a complex workflow into a simple app or API. Each has steps and a copy-paste agent prompt.

What do I need to run Comfy UI?

A Windows or macOS computer for the desktop app, or a Windows, Linux, or macOS machine with a supported GPU for the manual install; A GPU with enough VRAM for the model you pick (the README says large models can run on as little as 4GB VRAM with 8GB RAM); Disk space for the model files you choose to download; Optional: a Comfy Cloud account or partner node access for paid hosted models.

What are alternatives to Comfy UI?

Other hot AI repos in Content: Voice Studio, Anatomy, Hyperframes, Earshot, Fish Audio Hermes.

Is Comfy UI safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.