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Introduction to Kohya LoRA Training and Studio Quality Realistic AI Photo Generation

How to download and install Kohya’s GUI to do Stable Diffusion training

How to install newer cuDNN dll files to increase training speed

How to upgrade to the latest version previously installed Kohya GUI

How to start Kohya GUI via cmd

How to set DreamBooth LoRA training parameters correctly

How to use previously downloaded models to do Kohya LoRA training

How to download Realistic Vision V2 model

How to do training with Stable Diffusion 2.1 512px and 768px versions

Instance / activation and class prompt settings

What kind of training dataset you should use

Explanation of number of repeats in Kohya DreamBooth LoRA training

How to set best VAE file for better image generation quality

How to generate classification / regularization images via Automatic1111 Web UI

How to prepare captions to images and when you do need image captions

What kind of regularization images I have used

How to set training folders

Best LoRA Training settings for minimum amount of VRAM having GPUs

How to save state of training and continue later

How to save and load Kohya Training settings

How to calculate 1 epoch step count when considering repeating count

How to decide how many epochs when repeating count considered

Explanation of command line parameters displayed during training

Caption extension changing

After when we will get a checkpoint and checkpoints will be saved where

How to use generated LoRA safetensors files in SD Automatic1111 Web UI

How to activate LoRA in Stable Diffusion web UI

How to do x/y/z checkpoint comparison of LoRA checkpoints to find best model

How to improve face quality of generated images with high res fix

18 Different training parameters experiments I have made and their results comparison

How to test 18 different LoRA checkpoints with x/y/z plot

How to properly set number of epochs and save checkpoints when reducing repeating count

How to use checkpoints of Kohya DyLora, LoCon, LyCORIS/LoCon, LoHa in Automatic1111 Web UI

How to install Torch 1.13 instead of 1.12 and newer xFormers compatible with this version

How to make Kohya scripts to use your second GPU instead of your primary GPU

Description:

Learn to generate professional studio-quality portrait images using Kohya LoRA Stable Diffusion training in this comprehensive 45-minute tutorial. Master the process of downloading and installing Kohya's GUI, setting up DreamBooth LoRA training parameters, and utilizing pre-downloaded models. Discover how to optimize training datasets, set VAE files for improved image quality, and generate classification images. Explore advanced techniques such as caption preparation, regularization image selection, and optimal LoRA training settings for GPUs with limited VRAM. Gain insights into saving and loading training states, calculating epoch step counts, and interpreting command line parameters. Apply your newly acquired skills to use generated LoRA safetensors files in Stable Diffusion web UI, perform checkpoint comparisons, and enhance face quality with high-res fixes. Experiment with various training parameters and learn to leverage different types of checkpoints in Automatic1111 Web UI. Conclude by mastering GPU selection for Kohya scripts and installing compatible software versions for optimal performance. Read more

Generate Studio Quality Realistic Photos With Kohya LoRA Stable Diffusion Training - Full Tutorial

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#Computer Science #Deep Learning #Stable Diffusion #Artificial Intelligence #Computer Vision #Image Processing #Generative AI #DreamBooth