Furkan Gözükara
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Hunyuan Image 2.1 by Tencent Full Tutorial and 1-Click to Install Ultra Advanced App to Use Locally
🕑 Added 2025-09-11 00:14:44 +0000 UTCTutorial video link : https://youtu.be/dNeA5mJ36hA
Hunyuan Image 2.1 just published by Tencent and I have been working on developing the very best app to let you use HunyuanImage-2.1 with easiest and most accurate way. In this tutorial video, I will show you how to literally 1-click to install this model and our app on Windows (locally), Massed Compute (cloud) and RunPod (cloud).
SECourses HunyuanImage 2.1 Pro link : https://www.patreon.com/posts/138531984
Comparison Slider : https://www.patreon.com/posts/133935178
Hugging Face upload / download tutorial : https://youtu.be/X5WVZ0NMaTg
Our Discord : https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
Our Reddit : https://www.reddit.com/r/SECourses/
My LinkedIn : https://www.linkedin.com/in/furkangozukara/
Video Chapters
Hunyuan Image 2.1 Gradio App Tutorial - Video Timestamps
Introduction & Overview
0:00 - Introduction to Hunyuan Image 2.1 Gradio App
0:50 - Detailed Application Feature Overview
1:20 - Seed, Image Count, Auto-Enhance & Refiner Features
1:57 - Aspect Ratio, Resolution & Advanced CFG Settings
2:30 - Config Management, Prompt Tools & Image Refinement
3:13 - Output Management: Saved Images & Metadata
3:43 - One-Click Installer & Robust Downloader Explained
Windows Installation
4:33 - Windows Installation Guide - Getting Started
5:41 - Windows - Fixing Model Downloads & Current Limitations
Massed Compute Setup
6:38 - Massed Compute Setup - Deploying an Instance
7:32 - Setting Up ThinLinc for Remote Desktop Access
8:33 - Connecting to Massed Compute & Transferring Files
9:56 - Massed Compute - Running the Installation Script
10:53 - Troubleshooting Model Downloads on Massed Compute
11:34 - Running the Application & First Image Generation
Features & Usage
13:52 - Improving Prompts with Auto-Enhance Feature
15:34 - Using the Refiner for Higher Quality Images
16:23 - Comparing Before & After Refiner Results
17:32 - How to Use Multi-Line Prompting
17:55 - Backing Up Your Generated Images from Massed Compute
19:59 - How to Properly Terminate Your Massed Compute Instance
RunPod Installation
20:20 - RunPod Installation Guide - Introduction
21:06 - Setting Up Your RunPod Instance (GPU & Template)
22:09 - Connecting to RunPod & Starting the Installation
23:53 - RunPod - Model Download & Troubleshooting
25:06 - Running the Application on RunPod
26:08 - How to Back Up Your Data from RunPod
27:43 - How to Properly Terminate Your RunPod Instance
Some App Screenshots
Some Images Generated With Hunyuan Image 2.1 - Raw 2560x1440 pixels and 8 Steps Refiner applied
This model native resolution is 2048x2048 pixels
Comments
cool1
I thinks so yes. On the other post about it it says "Requires 80 GB GPUs right now". I don't think there's any consumer GPUs with 80 GB VRAM. I don't know if it might work if it allows offloading to RAM if someone had enough, but if it did I assume it would be really, really slow. I think we'd need to wait till they create quantized versions of the models, that have lower VRAM requirements (and are safetensors format hopefully). If there's already a smaller model you're selecting on HuggingFace then you could check the hf page to see if it says what the requirements are.
EnjoyerOfAll
This looks like it's not usable on consumer GPUs. I put in place the smallest model on HF and still hit OOM with a 5090. Am I correct in that finding?
