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Ultimate RunPod Tutorial for Stable Diffusion - Data Transfers, Extensions, CivitAI

Offered By: Software Engineering Courses - SE Courses via YouTube

Tags

Stable Diffusion Courses Cloud Computing Courses ControlNet Courses File Transfer Courses DreamBooth Courses

Course Description

Overview

Master the intricacies of running Stable Diffusion via Web UI on RunPod cloud services in this comprehensive tutorial. Learn to register, deploy pods, and manage credits on RunPod.io. Explore deployment templates, disk management, and credit spending. Discover how to connect to pods, use Jupyter Lab, and modify Automatic1111 Web UI settings. Install extensions like DreamBooth and ControlNet, and learn file transfer techniques using runpodctl. Dive into DreamBooth and Textual Inversion training, including best practices for SD 1.5 and 2.1. Understand xformers usage, runtime disk expansion, and fine-tuning techniques. Explore Kohya GUI installation and cloud syncing for efficient data management. Perfect for both beginners and advanced users seeking to optimize their Stable Diffusion workflow on RunPod.

Syllabus

Intro
How to register RunPod.io and charge your credits
How to deploy a pod - start a server for Stable Diffusion 1.5 Automatic1111 Web UI
How to select deployment template for Stable Diffusion Web UI in RunPod
Explanation of temporary disk and persistent volume
Explanation of credit spending per minute for storage usage in RunPod
My Pods section
Connect to the started Pod
Start SD 2.1 Version Web UI Pod
Why pick a lesser used Pod
Bidding system of RunPod.io
Where and how to see scheduled maintenance
Stop Pod vs Terminate delete Pod
Where to see logs to debug and understand errors
Connect your Pod via a Jupyter Lab interface
How to change Automatic1111 Web UI command line arguments and restart it
First prompt in RunPod Automatic1111 Web UI
Where to see logs, find error logs, debug them
How to install DreamBooth extension of Automatic1111 Web UI
Where the generated images are saved
How to download generated images
How to update installed extensions
How to notice port error and fix it
How to install runpodctl latest version to transfer files very quickly between Pods and PC
How to download a ckpt file very fast from Hugging Face repo
Start DreamBooth training with best model and settings
How to upload your training dataset images
How to upload thousands of images big data from your computer to RunPod via runpodctl
How to install RunPodCTL on your Windows computer
How to send files from your PC to RunPod via runpodctl
Where to find generated checkpoints and sample images during DreamBooth training
How to delete non-empty folder
Even though xformers not selected during training, still breaks training and how to fix it
How to download a folder from RunPod to your PC via runpodctl very quickly
How to add runpodctl to environment path to use from every folder
How to continue/resume DreamBooth training
Test all training checkpoints with x/y plot to find best one
How to set correct command line arguments for SD 2.1
Where to see currently spent credits per hour
How to do DreamBooth training on SD 2.1 - 768 pixel version with best possible settings
How to generate classification images manually very fast
Why SD 1.5 is superior to 2.1
How to download custom models very fast from CivitAI
How to do Textual Inversion training with some optimal settings
Where Textual Inversion training samples and checkpoints are saved
How to use Textual Inversion check points
Move generated SD 2.1 classification images into correct folder
How to install and run ControlNet extension on RunPod IO
How to download your trained model files ckpt into your PC very fast via runpodctl
How to upgrade xformers to 0.0.17 for DreamBooth SD 2.1 training
How to expand runtime disk space
Best settings for SD 2.1 with xformers
What is Stable Diffusion fine tuning and how to do fine tuning with DreamBooth
Best settings quick recap for SD 2.1 for 24 GB VRAM
How to install and run Kohya GUI on RunPod
How to enable public Gradio link for Kohya GUI
How to start RunPods without GPU
Cloud snyching your Pod data / content


Taught by

Software Engineering Courses - SE Courses

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