Video Tutorial Is Here : https://youtu.be/XFUZof6Skkw

This video offers a comprehensive guide on installing and utilizing #SwarmUI on various cloud platforms. It's particularly beneficial for those without access to high-powered GPUs or seeking additional GPU capabilities. The tutorial covers the implementation of SwarmUI, a leading Generative AI interface, on Massed Compute, RunPod, and Kaggle (which provides free dual T4 GPU access for 30 hours weekly). You'll discover how to seamlessly operate SwarmUI on cloud GPU providers, mirroring the experience of using it on a local PC. Additionally, the video demonstrates the use of Stable Diffusion 3 (#SD3) in cloud environments. It's worth noting that SwarmUI employs a #ComfyUI backend.

🔗 Access the Video's Public Post (no login required) with All Links ➡️ https://www.patreon.com/posts/stableswarmui-3-106135985

🔗 Windows Tutorial for SwarmUI Usage ➡️ https://youtu.be/HKX8_F1Er_w

🔗 Guide for Rapid Model Downloads to Massed Compute, RunPod, Kaggle, and Swift Model Uploads to Hugging Face ➡️ https://youtu.be/X5WVZ0NMaTg

🔗 Join SECourses Discord ➡️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388

🔗 Stable Diffusion GitHub Repository (Consider Starring, Forking, and Watching) ➡️ https://github.com/FurkanGozukara/Stable-Diffusion

Promotional Code for Massed Compute: SECourses
Applicable to Alt Config RTX A6000 and RTX A6000 GPUs

0:00 Introduction to the SwarmUI cloud services tutorial (Massed Compute, RunPod & Kaggle)
3:18 SwarmUI installation and usage on Massed Compute virtual Ubuntu machines
4:52 ThinLinc client synchronization folder setup for Massed Compute virtual machine access
6:34 Connecting to and initiating use of Massed Compute virtual machine post-initialization
7:05 One-click SwarmUI update on Massed Compute prior to usage
7:46 Configuring multiple GPUs on SwarmUI backend for simultaneous image generation
7:57 Monitoring GPU status via nvitop command
8:43 Pre-installed Stable Diffusion models on Massed Compute
9:53 Model download speed on Massed Compute
10:44 Identifying GPU backend setup errors in 4-GPU configuration
11:42 Monitoring status of all 4 active GPUs
12:22 Image generation and step speed for SD3 on RTX A6000 (Massed Compute)
12:50 CivitAI API key setup for accessing gated models
13:55 Rapid image download from Massed Compute
15:22 Latest SwarmUI installation on RunPod with proper template selection
16:50 Port configuration for SwarmUI connection post-installation
17:50 RunPod SwarmUI installer sh file download and execution
19:47 Pod restart to resolve backend loading issues
20:22 Reinitiating SwarmUI on RunPod
21:14 Stable Diffusion 3 (SD3) download and implementation on RunPod
22:01 Multi-GPU backend system configuration on RunPod
23:22 Generation speed on RTX 4090 (SD3 step speed)
24:04 Quick image download from RunPod to local device
24:50 SwarmUI and Stable Diffusion 3 installation and usage on free Kaggle accounts
28:39 Modifying model root folder path in SwarmUI on Kaggle for temporary disk space utilization
29:21 Adding a second backend to utilize the second T4 GPU on Kaggle
29:32 Cancelling and restarting SwarmUI runs
31:39 Stable Diffusion 3 model usage and image generation on Kaggle
33:06 Resolving out-of-RAM errors on Kaggle
33:45 Disabling one backend to prevent RAM errors with dual T5 XXL text encoder usage
34:04 Stable Diffusion 3 image generation speed on Kaggle's T4 GPU
34:35 Batch image download from Kaggle to local device

How to Use SwarmUI & Stable Diffusion 3 on Cloud Services Kaggle (free), Massed Compute & RunPod

Hello everyone. I am Dr. Furkan Gözükara. I have PhD in Computer Engineering.

I have been specializing in Generative AI since 2022. In this space, I will share all my knowledge regarding the Generative AI and Tech. Make sure to follow our space and open notifications.

In this space I will share the very best tutorials for: Stable Diffusion, Stable Diffusion XL (SDXL), Stable Diffusion 3, PixArt, Stable Cascade, Large Language Models (LLMs), Text to Speech, Speech to Text, ChatGPT, GPT-4, Image to Video Animation, Video to Video Animation, Deep Fakes, SwarmUI, ComfyUI, Fooocus, SUPIR, V-Express, InstantId, ControlNet, IP Adapters, RunPod, Massed Compute, Cloud, Kaggle, Google Colab, Automatic1111 SD Web UI, TensorRT, DreamBooth, LoRA, Training, Fine Tuning, Kohya, OneTrainer, Text to 3D, Image to 3D, Upscale, Inpainting, Outpainting, Superscale, AI-assisted Digital Art Generation, Super-Resolution, Image Enhancement, Image Restoration, Video Restoration, Synthetic Voice, Voice Training, Speech Synthesis, Zero-shot Generation, Virtual Characters, Image Generation, Text Generation, Music Generation, Video Generation, Deepfakes and Face Swapping, Style Transfer, 3D Model Generation, Text-to-Speech (TTS), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Text Summarization, Machine Translation, Synthetic Data Generation, DALL-E, Midjourney, Whisper, Image Captioning, Dataset Generation, Dataset Preparation, Dataset Preprocessing, Image Processing, RunwayML and many more.

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