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Comfy-Org
ComfyUI
Python2023–2026
Comfy-Org / ComfyUI

ComfyUI

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.

27Distinct people
29Mentions
1Explicit recommenders
146.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

Highly recommended: https://github.com/comfyanonymous/ComfyUI

WithinReason used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:01:32 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year29 dated mentions

Observed mentions: 2023-01-27 08:28:03 UTC to 2026-07-13 08:07:22 UTC.

0369122023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 12 mentions; 5 submissions, 7 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 10 mentions; 1 submissions, 9 comments20242025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC1257
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC1019
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC404

What Hacker News says

3 sources
i have been testing this on my Framework Desktop. ComfyUI generally causes an amdgpu kernel fault after about 40 steps (across multiple prompts), so i spent a few hours building a workaround here https://github.com/comfyanonymous/ComfyUI/pull/11143 overall it's fun and impressive. decent results using LoRA. you can achieve good looking results with as few as 8 inference steps, which takes 15-20 seconds on a Strix Halo. i also created a llama.cpp inherence custom node for prompt enhancement which has been helping with overall output quality.
In Z-Image: Powerful and highly efficient image generation model with 6B parameters
It's very likely worth trying ComfyUI on it too: https://github.com/comfyanonymous/ComfyUI Installation instructions: https://github.com/comfyanonymous/ComfyUI#nvidia It's a webUI that'll let you try a bunch of different, super powerful things, including easily doing image and video generation in lots of different ways. It was really useful to me when benching stuff at work on various gear. ie L4 vs A40 vs H100 vs 5th gen EPYC cpus, etc.
In Nvidia DGX Spark: great hardware, early days for the ecosystem
https://github.com/comfyanonymous/ComfyUI I only use it on Windows with Nvidia GPU, but it should work both on Windows and Linux with CPU only and with Intel GPUs, as well as on Linux only with AMD. Though skimming the README some more, I also see Apple Silicon section, and one called "DirectML (AMD Cards on Windows)", so maybe AMD+Win works too. As for use: you install ComfyUI from the link above, and then this: https://github.com/ltdrdata/ComfyUI-Manager to have UI for searching and downloading custom nodes (instead of having to install them by hand), and you're good to go.
In How to Train an AI Image Model on Yourself

MAKE YOURSELF AT HOME

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