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Zero To Hero Generative AI - Become A Master

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  1. Lecture 1 : How To Install Python, Setup Virtual Environment VENV, Set Default Python System Path & Install Git
  2. Lecture 2 : Essential AI Tools and Libraries: A Guide to Python, Git, C++ Compile Tools, FFmpeg, CUDA, PyTorch
  3. Lecture 3 : Zero to Hero ControlNet Tutorial: Stable Diffusion Web UI Extension | Complete Feature Guide
  4. Lecture 4 : How To Find Best Stable Diffusion Generated Images By Using DeepFace AI - DreamBooth / LoRA Training
  5. Lecture 5 : Generate Studio Quality Realistic Photos By Kohya LoRA Stable Diffusion Training - Full Tutorial
  6. Lecture 6 : The END of Photography - Use AI to Make Your Own Studio Photos, FREE Via DreamBooth Training
  7. Lecture 7 : How To Use Stable Diffusion X-Large (SDXL) On Google Colab For Free
  8. Lecture 8 : Stable Diffusion XL (SDXL) Locally On Your PC - 8GB VRAM - Easy Tutorial With Automatic Installer
  9. Lecture 9 : Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI
  10. Lecture 10 : How To Use SDXL On RunPod Tutorial. Auto Installer & Refiner & Amazing Native Diffusers Based Gradio
  11. Lecture 11 : ComfyUI Tutorial - How to Install ComfyUI on Windows, RunPod & Google Colab | Stable Diffusion SDXL
  12. Lecture 12 : First Ever SDXL Training With Kohya LoRA - Stable Diffusion XL Training Will Replace Older Models
  13. Lecture 13 : How To Use SDXL in Automatic1111 Web UI - SD Web UI vs ComfyUI - Easy Local Install Tutorial / Guide
  14. Lecture 14 : Mind-Blowing Deepfake Tutorial: Turn Anyone into Your Favorite Movie Star! PC & Google Colab - roop
  15. Lecture 15 : How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod - Easy Tutorial
  16. Lecture 16 : Become A Master Of SDXL Training With Kohya SS LoRAs - Combine Power Of Automatic1111 & SDXL LoRAs
  17. Lecture 17 : How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI
  18. Lecture 18 : How to Do SDXL Training For FREE with Kohya LoRA - Kaggle - NO GPU Required - Pwns Google Colab
  19. Lecture 19 : How Use Stable Diffusion, SDXL, ControlNet, LoRAs For FREE Without A GPU On Kaggle Like Google Colab
  20. Lecture 20 : Turn Videos Into Animation With Just 1 Click - ReRender A Video Tutorial
  21. Lecture 21 : Turn Videos Into Animation / 3D Just 1 Click - ReRender A Video Tutorial - Installer For RunPod
  22. Lecture 22 : Double Your Stable Diffusion Inference Speed with RTX Acceleration TensorRT: A Comprehensive Guide
  23. Lecture 23 : How to Install & Run TensorRT on RunPod, Unix, Linux for 2x Faster Stable Diffusion Inference Speed
  24. Lecture 24 : SOTA Image PreProcessing Scripts For Stable Diffusion Training - Auto Subject Crop & Face Focus
  25. Lecture 25 : Fooocus Stable Diffusion Web UI - Use SDXL Like You Are Using Midjourney - Easy To Use High Quality
  26. Lecture 26 : How To Do Stable Diffusion XL (SDXL) DreamBooth Training For Free - Utilizing Kaggle - Easy Tutorial
  27. Lecture 27 : Essential AI Tools and Libraries: A Guide to Python, Git, C++ Compile Tools, FFmpeg, CUDA, PyTorch
Lesson 12 of 27
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Lecture 12 : First Ever SDXL Training With Kohya LoRA – Stable Diffusion XL Training Will Replace Older Models


Updated for SDXL 1.0. How to install #Kohya SS GUI trainer and do #LoRA training with Stable Diffusion XL (#SDXL) this is the video you are looking for. I have shown how to install Kohya from scratch. The best parameters to do LoRA training with SDXL. How to use Kohya SDXL LoRAs with ComfyUI. How to do checkpoint comparison with SDXL LoRAs and many more cool stuff.

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Technology & Science: News, Tips, Tutorials, Tricks, Best Applications, Guides, Reviews ⤵️

Playlist of #StableDiffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img ⤵️

Learn step-by-step how to install Kohya GUI and do SDXL Stable Diffusion X-Large training from scratch. See example images of raw Stable Diffusion X-Large outputs after LoRA training. Find out how to optimize parameters, do checkpoint comparisons, generate hundreds of images, and use DeepFace AI to sort images by similarity. See how to leverage inpainting to boost image quality. Discover techniques to create stylized images with a realistic base. Get solutions to train on low VRAM GPUs or even CPUs. Resources include model links, prompt examples, parameter settings, workflows, and more. Whether experienced with AI image generation or just starting out, this in-depth tutorial will help take your Stable Diffusion skills to the next level.

Learn every step to install Kohya GUI from scratch and train the new Stable Diffusion X-Large (SDXL) model for state-of-the-art image generation. This in-depth tutorial will guide you to set up repositories, prepare datasets, optimize training parameters, and leverage techniques like LoRA and inpainting to achieve photorealistic results.

See examples of raw SDXL model outputs after custom training using real photos. Find out how to tune settings like learning rate, optimizers, batch size, and network rank to improve image quality and training speed. Learn to generate hundreds of samples and automatically sort them by similarity using DeepFace AI to easily cherrypick the best images.

Get solutions to train SDXL even with limited VRAM – use gradient checkpointing or offload training to Google Colab or RunPod. See how to create stylized images while retaining a photorealistic face using strength tuning and prompt engineering.

Whether you’re experienced with AI image generation or just starting out, this extensive tutorial will take your Stable Diffusion abilities to the next level.

0:00 Introduction to SDXL LoRA training tutorial
2:50 How to install Kohya GUI trainer
4:58 How to start Kohya GUI trainer after the installation
5:35 Beginning to show all SDXL LoRA training setup and parameters on Kohya trainer
5:51 How to download SDXL model to use as a base training model
6:20 How to prepare training data with Kohya GUI
7:06 What is repeating parameter of Kohya training
7:42 How to set classification images and use which images as regularization images
8:52 How to prepare training dataset folders for Kohya LoRA / DreamBooth training
9:35 What are ohwx rare token and man class token
10:02 Why I am using real images as classification images for realism
10:35 Don’t forget copy folders info
11:06 Best parameters for SDXL Kohya LoRA training
14:45 Explanation of Network Rank Dimension for LoRA
15:31 What is Network Alpha for LoRA training
16:18 How to save settings / configuration in Kohya GUI trainer
16:46 The importance and usage of print training command button
18:05 Why did I get out of VRAM error (OOM)
19:02 What does it / second means you see in Kohya trainer or on SD web UIs
19:55 Where to see number of steps it will take
20:35 Where I shared my training command and how you can use it
20:46 How you can do training with my settings
21:40 How to use trained SDXL LoRA models with ComfyUI
23:00 How to do checkpoint comparison with Kohya LoRA SDXL in ComfyUI
27:05 How to generate amazing images after finding best training checkpoint
28:03 How to utilize AI to find best generated images very easily
31:42 How to find best images in certain looking direction / pose
32:03 How to inpaint generated image to improve quality and similarity
34:18 How to do SDXL LoRA training if you don’t have a strong GPU
35:10 How to get stylized images such as GTA5 style images of yourself
39:00 Please help me. Thank you so much