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Training LoRA with Kohya (theory included!)

Learn how to train your own LoRA model using Kohya. In this tutorial, we will build a LoRA model using only a few images. We are going to understand the basic theory behind how neural network works, and will understand how to tweak the key parameters to achieve better results! Hope you enjoy :) 👀 Struggling to run Stable Diffusion locally? You can try DiffusionHub! 🤑Get 20% MORE DiffusionHub CREDIT using the link below or using the promo code LAURA20! Link: https://diffusionhub.io?fpr=laura17 💬 Social Media: [Discord]   / discord   [Patreon] https://patreon.com/IntelligentArt?ut... [Instagram]   / lacarnevali   [TikTok] https://www.tiktok.com/@lacarnevali?i... ____________________________________________________________________ 🤙🏻 Learn More:   / membership     / lauracarnevali   📰Article:   / how-to-fine-tuning-a-model-with-kohya   📌 Links: GitHub Kohya: https://github.com/bmaltais/kohya_ss CivitAI: https://civitai.com 00:33 What is a LoRA model 02:06 Build your database 02:48 Training images 04:22 Captioning (BLIP) 09:57 Regularization images 13:10 Choose your base model for training 16:09 Create folders to train the model 21:48 Theory: What is a Neural Network? 23:40 Theory: Batch 24:50 Theory: Epoch 25:20 Theory: Iterations, or Steps, or Repeat 26:00 Theory: Loss Function 26:49 Theory: Learning Rate 27:43 Set the key training parameters 32:12 How to use a LoRA model #aiart #stablediffusion #generativeart #lora