Скачать с ютуб FLUX Full Fine-Tuning / DreamBooth Training Master Tutorial for Windows, RunPod & Massed Compute в хорошем качестве

FLUX Full Fine-Tuning / DreamBooth Training Master Tutorial for Windows, RunPod & Massed Compute

If you want to train FLUX with maximum possible quality, this is the tutorial looking for. In this comprehensive tutorial, you will learn how to install Kohya GUI and use it to fully Fine-Tune / DreamBooth FLUX model. After that how to use SwarmUI to compare generated checkpoints / models and find the very best one to generate most amazing images ever. Moreover, this tutorial will work on training everything such as training a person, an art style, a pet, an item, an object, or general Fine-Tuning (the post will be updated for this later). 🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial) ⤵️ ▶️   / click-to-open-post-used-in-tutorial-112099700   The tutorial shows how to train 100% privately on Windows locally and also on the very best cheapest Cloud providers RunPod and Massed Compute same as in your local computer. Moreover the tutorial shows auxiliary tools like Ultimate Preprocessing APP for preparing training images dataset, ultra fast uploading and downloading models to Hugging Face Jupyter notebook, SUPIR upscaler to enhance images to next level and so on. Still fixing video subtitles / captions as well Video Chapters (still writing them) 0:00 Introduction 0:22 Why Fine-Tuning / DreamBooth is better than LoRA training and what is the difference 3:39 How long preparation of this tutorial taken and how i prepared it 4:09 How much time each training takes and what are the training speeds and VRAM usages of the configs 5:38 The list of things that you are going to learn from this tutorial 10:47 Technical difference between LoRA and Full Fine-Tuning / DreamBooth 12:33 Windows (private local training) part of the tutorial starts with how to install Kohya GUI for FLUX training 14:15 How to install Kohya GUI on Windows accurately 17:46 Picking the accurate configuration 22:52 Using Image Cropper 25:15 Using Image Resizer 26:42 Kohhya Workflow 27:27 Downloading Models 28:50 Changing Output Directory 30:57 Destination Path 31:32 Clikcing Prepare Training Data 34:30 Starting Training 1:13:49 Massed Compute (cheap private cloud training) part of the tutorial starts with how to install Kohya GUI for FLUX training 1:32:02 How to increase empty storage on Massed Compute and how many checkpoints you can save 2:01:41 RunPod (cheap private cloud training) part of the tutorial starts with how to install Kohya GUI for FLUX training