Home Projects comfyui_HiDream-Sampler
comfyui_HiDream-Sampler
Python

comfyui_HiDream-Sampler

ComfyUI Wrapper for HiDream

by lum3on · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
ai-artcomfy-nodescomfyuiMITPython
View on GitHub
In plain words

Generate images using the HiDream model with a user-friendly interface for ComfyUI.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
comfyui_HiDream-Sampler — GitHub preview card
📈 Star history
480479
2026-07-202026-08-31
📈 Track comfyui_HiDream-Sampler

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

ComfyUI Wrapper for HiDream

comfyui_HiDream-Sampler has 479 stars on GitHub. It has been forked 37 times. comfyui_HiDream-Sampler is written mainly in Python. It has been in active development since 2025. comfyui_HiDream-Sampler is available under the MIT license. Its main topics are ai-art, comfy-nodes, comfyui, custom-node.

Frequently asked questions

What is comfyui_HiDream-Sampler?

ComfyUI Wrapper for HiDream

Is comfyui_HiDream-Sampler open source?

comfyui_HiDream-Sampler is an open-source project. It is released under the MIT license.

Is comfyui_HiDream-Sampler free?

Yes. comfyui_HiDream-Sampler is free and open source — you can use, modify and self-host it.

What license does comfyui_HiDream-Sampler use?

comfyui_HiDream-Sampler is available under the MIT license.

What language is comfyui_HiDream-Sampler written in?

comfyui_HiDream-Sampler is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — comfyui_HiDream-Sampler

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=lum3on-comfyui-hidream-sampler)](https://olud.ai/project/lum3on-comfyui-hidream-sampler.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.