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Introduction to how to do amazing FREE training of Stable Diffusion XL without owning a GPU
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How to register Kaggle to get a free account to do free training
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How to verify your phone number in Kaggle to be able to use cloud GPUs for free
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How to generate a Kaggle notebook and start Stable Diffusion XL free Kohya SS LoRA training
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How to download and import SDXL LoRA training notebook
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How to properly with correct config start session on Kaggle to begin training
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How to enable GPU on Kaggle
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How to see how much GPU time you have used and how much you have left on Kaggle
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How to look at used resources in your Kaggle session such as disk space, GPU, CPU, RAM
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How to clone Kohya SS GUI and install it on a free Kaggle notebook
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How to understand and use pathing structure of Kaggle
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Where is our root / working directory in Kaggle
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How to know when the installation of Kohya SS GUI has been completed
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How to download ground truth regularization / classification images
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How to upload your regularization / classification images and use them
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How to use your previously uploaded images / datasets in your Kaggle training sessions
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How to start Kohya SS GUI on Kaggle notebook
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How to access started Kohya SS GUI instance via publicly given Gradio link
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Starting to setup Kohya SDXL LoRA training parameters and settings
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Which source model we need to use for SDXL training a free Kaggle notebook
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How to prepare training dataset easily with dataset preparation feature of Kohya SS GUI
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How to upload your training images and prepare them for SDXL training
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How get and set folder path of training and regularization / classification images
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Where to and how to save training results and how to generate training folders
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How to copy info to folders tab
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Setting up all training parameters
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Network Rank Dimension trade-off
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Continuing to setting up all training parameters
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How to start training after everything is set
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What is the formula of calculating number of training total steps
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How to execute training command
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How to calculate necessary number of classification / regularization images that you need
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Training started
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Why it shows total number of epochs double of the number we did set
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Where is our SDXL LoRA training checkpoints are saved and how to download them
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Why generated safetensor files, checkpoints are 228 MBs
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How to enable allow multiple files download in your browser to download generated LoRA checkpoints
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How to download all of the checkpoints as a single file - zip them all
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How to download LoRA safetensors folder entirely
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How to extract and open downloaded as zip LoRA checkpoints
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How to save your LoRA checkpoints on your Kaggle account to use later
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How to use your trained LoRA checkpoints in your Automatic1111 Web UI on your PC
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How to download and use 750 styles containing styles.csv file
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How to find best checkpoint of your Kohya SDXL LoRA training
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How to see used prompts and settings of generated images via png info tab of Automatic1111 Web UI
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How did I decide to use the certain checkpoint via x/y/z script of Automatic1111 Web UI
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How to use your LoRAs in Automatic1111 Web UI
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How to select your LoRA from the interface
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How to generate same batch with correct seed, how batch seed is determined
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How to install after detailer adetailer extension to improve faces in your generations automatically
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After detailer extension enabled comparison results
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How to get amazing likeness - realism having images of your trained subject,
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How to find best amazing among thousands of generated images by using DeepFace AI similarity script
Description:
Learn how to perform Stable Diffusion XL training for free using Kaggle and Kohya LoRA in this comprehensive 49-minute tutorial. Master the process of setting up a Kaggle account, utilizing free GPU resources, and implementing Kohya SS GUI for SDXL LoRA training. Discover techniques for preparing datasets, configuring training parameters, and optimizing results. Explore methods for downloading and using trained LoRA checkpoints in Automatic1111 Web UI, including tips for achieving realistic images and implementing useful extensions like after detailer. Gain insights into advanced topics such as calculating training steps, managing resources, and finding the best checkpoints among generated images.

How to Do SDXL Training with Kohya LoRA - Kaggle - No GPU Required

Software Engineering Courses - SE Courses
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#Computer Science #Deep Learning #Stable Diffusion #LoRA (Low-Rank Adaptation) #Artificial Intelligence #Computer Vision #Image Processing #Image Enhancement #Machine Learning #Kaggle
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Introduction to how to do amazing FREE training of Stable Diffusion XL without owning a GPU