How to Do SDXL LoRA Training on RunPod with Kohya SS GUI Trainer and Use LoRAs with Automatic1111 UI

Overview

Learn how to perform SDXL LoRA training on RunPod using Kohya SS GUI Trainer and utilize LoRAs with Automatic1111 UI in this comprehensive tutorial video. Discover how to leverage cloud GPU services for Stable Diffusion training and image generation, even without a powerful local GPU. Follow step-by-step instructions for setting up RunPod, installing Kohya, configuring training parameters, and using trained models. Explore techniques for improving face quality, prompt engineering, and efficiently managing resources. Gain insights into VRAM optimization, model downloading, and effective use of extensions like Adetailer. Perfect for those looking to overcome hardware limitations and dive into advanced Stable Diffusion workflows.

Syllabus

Introduction to easy tutorial of using RunPod to do SDXL training
How to start your RunPod machine for Stable Diffusion XL usage and training
How to install Kohya on RunPod with a single click installer
Important things about using SDXL on RunPod
Step by step installation of Kohya SS GUI trainer on RunPod
How to terminate automatically started Automatic1111 Instance to free up VRAM
How to change relauncher.py file to prevent infinite auto relaunch of Automatic1111 Web UI
Where do you need to download and put Stable Diffusion model and VAE files on RunPod
How to download Stable Diffusion models into RunPod
How to terminate previously started Automatic1111 Web UI instance to free up VRAM before training,
How to start Kohya GUI after installation
How to save and load Kohya training configuration on RunPod
How to upload and set your training images
How to install runpodctl
Why runpodctl is useful
How to configure Kohya LoRA training on RunPod for Stable Diffusion XL
What is the importance and effect of Network Rank Dimension
How to update Automatic1111 Web UI on RunPod
How to understand your Kohya training completed or not
How to start using your trained or downloaded SDXL LoRA models
Where the training checkpoint files are saved
How you should connect to Automatic1111 Web UI interface on RunPod for image generation
How to set best Stable Diffusion VAE file for best image quality
How to set full precision VAE on RunPod --no-half-vae
Where to find good Stable Diffusion prompts for SDXL and SD 1.5 models
How to activate your trained LoRA via appending to the prompt
How to improve faces / fix them via using Adetailer automatic inpainting extension
How to reload last used prompt and all settings with 1 click
How to enable and use adetailer extension
In which folder generated images saved and how to download them very fast on RunPod
How to test face quality and verify your trained LoRA or DreamBooth models / checkpoints
How to do prompt engineering to improve and fix faces
How to join our community helping Discord and where to contact to me

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