Full tutorial video link : https://youtu.be/XFUZof6Skkw
In this video, I demonstrate how to install and use #SwarmUI on cloud services. If you lack a powerful GPU or wish to harness more GPU power, this video is essential. You'll learn how to install and utilize SwarmUI, one of the most powerful Generative AI interfaces, on Massed Compute, RunPod, and Kaggle (which offers free dual T4 GPU access for 30 hours weekly). This tutorial will enable you to use SwarmUI on cloud GPU providers as easily and efficiently as on your local PC. Moreover, I will show how to use Stable Diffusion 3 (#SD3) on cloud. SwarmUI uses #ComfyUI backend.
🔗 The Public Post (no login or account required) Shown In The Video With The Links ➡️ https://www.patreon.com/posts/stableswarmui-3-106135985
🔗 Windows Tutorial for Learn How to Use SwarmUI ➡️
🔗 How to download models very fast to Massed Compute, RunPod and Kaggle and how to upload models or files to Hugging Face very fast tutorial ➡️
🔗 SECourses Discord ➡️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
🔗 Stable Diffusion GitHub Repo (Please Star, Fork and Watch) ➡️ https://github.com/FurkanGozukara/Stable-Diffusion
Coupon Code for Massed Compute : SECourses
Coupon works on Alt Config RTX A6000 and also RTX A6000 GPUs
0:00 Introduction to SwarmUI on cloud services tutorial (Massed Compute, RunPod & Kaggle)
3:18 How to install (pre-installed we just 1-click update) and use SwarmUI on Massed Compute virtual Ubuntu machines like in your local PC
4:52 How to install and setup synchronization folder of ThinLinc client to access and use Massed Compute virtual machine
6:34 How to connect and start using Massed Compute virtual machine after it is initialized and status is running
7:05 How to 1-click update SwarmUI on Massed Compute before start using it
7:46 How to setup multiple GPUs on SwarmUI backend to generate images on each GPU at the same time with amazing queue system
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