Training a LoRA Model Using Kohya_ss

Starting your LoRA training:
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In this video, we walk you through the entire process of training a LoRA model using Kohya_ss. Whether you're new to LoRA models or looking for tips to improve your training results, this tutorial will cover everything from image preparation to setting up the training environment and monitoring the process.

Here’s what you’ll learn in this tutorial:

Image Preparation: How to select and prepare high-quality images for optimal training results.
Uploading Your Dataset: The best practices for organizing and uploading your image dataset.
Tagging Your Images: Using the WD14 captioning tool within Kohya_ss to properly tag your images for training.
Starting the LoRA Training: A complete guide to setting up your training environment and configuring paths in Kohya_ss.
Configuring Training Parameters: Learn how to set epochs, adjust training steps, and balance training speed with quality.
Monitoring Your Training Progress: Tips on how to track your model’s training status and ensure a smooth process.
By the end of this video, you’ll have all the tools and knowledge needed to train your own LoRA model for high-quality, custom results.

👉 Check out the official Kohya_ss LoRA Training Parameters Guide for a more in-depth look at the various training parameters: [Insert link here]

🎥 Watch now and start training your own LoRA models!

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[ManoMonikas]

I do not have that UI part where you uploading images. How to solve that? Thanks :)