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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 19 of 27
In Progress

Lecture 19 : How Use Stable Diffusion, SDXL, ControlNet, LoRAs For FREE Without A GPU On Kaggle Like Google Colab


You want to use Stable Diffusion, use image generative #AI models for free, but you can’t pay online services or you don’t have a strong computer. Then this is the tutorial you were looking for. By watching this tutorial, you will learn how to use Kaggle free cloud service with famous Stable Diffusion #Automatic1111 SD Web UI as easy as it is running on your local computer. I have prepared an amazing Kaggle notebook that even supports SDXL and ControlNet of SDXL and LoRAs and custom models of #SDXL. Of course it supports all of the Stable Diffusion SD 1.5 based models too.

Kaggle Automatic1111 Notebook File ⤵️

Tutorial GitHub Readme File ⤵️

0:00 Introduction to how to use Stable Diffusion for free without a computer or a GPU
2:44 How to register a Free Kaggle Account and activate it
3:28 How to create a new Notebook on Kaggle
3:42 The two very important steps that you need to make before start using Kaggle Notebook
3:52 How to set accelerator (select GPUs) and enable Internet
4:28 What is persistence and should you use it
4:45 How to write code on a Kaggle notebook and use the code shared in the GitHub readme file
4:55 How to manually setup your Stable Diffusion Automatic1111 Web UI notebook if you are not my Patreon supporter
5:08 How to download and import the Automatic1111 SD Web UI notebook used in this tutorial
6:20 Suggested resources before following this tutorial
7:28 How to start your Free Kaggle Dual GPU session
7:39 How to see how many resources you are using in your current session in a Kaggle notebook
8:04 How to install Automatic1111 on a Kaggle notebook
8:43 Explanation of the right section of the Kaggle notebook, working directory
9:00 How to clear the outputs of a Kaggle notebook session
9:10 How to download Stable Diffusion SD 1.5, LoRAs and SDXL models into the correct Kaggle directory
9:39 How to download models manually if you are not my Patreon supporter
10:14 An example of how to download a LoRA model from CivitAI
11:11 An example of how to download a full model checkpoint from CivitAI
11:48 How to start downloading all the model files
13:41 How to install ControlNet extension and download ControlNet models
15:50 How to use custom LoRAs from CivitAI or Hugging Face
16:29 How to start Automatic1111 Web UI instance with correct parameters and settings
18:42 How to understand installation of Automatic1111 Web UI has been completed and ready to use
19:09 First time model loading may be very slow
19:26 How to enable quick VAE selection drop down list
19:50 How to set correct folder scan path for ControlNet
20:29 How to reload UI for extensions and setting changes to be effective
20:51 Automatic1111 Web UI is ready to use on a Free Kaggle notebook
21:22 How to use embedded VAE of the models
21:48 Which image generation sampler is the best one
21:58 Why and how much first image generation is slower
22:57 How to install extensions (e.g. After Detailer) of Automatic1111 on a Free Kaggle notebook
23:35 You need to reload Web UI to see new extensions
23:55 How to use your downloaded LoRA models in Automatic1111 Web UI
25:17 First image generation with SDXL model
26:16 First time image generation speed vs consequent images generation on SDXL
26:54 First image generation with the custom LoRA model from CivitAI
27:20 Image generation speed of SDXL when using LoRA
27:41 How to use your own trained LoRAs, models or LoRAs, models from your computer
29:03 How to import your files, datasets in to your current session on Kaggle
29:21 How to use files imported as data set such as LoRAs or models that you have uploaded as dataset
30:23 How to restart Automatic1111 Web UI on a Kaggle notebook
31:06 How to prompt your own trained LoRA
31:32 How to enable After Detailer (adetailer) extension to improve faces of Stable Diffusion generated images
33:01 Where are the SD generated images are saved on a Kaggle notebook
33:45 SDXL with LoRA image generation speed
34:20 How to use Stable Diffusion XL (SDXL) ControlNet models in Automatic1111 Web UI on a free Kaggle
35:05 Where to download SDXL ControlNet models if you are not my Patreon supporter
36:13 Notebook crashes due to insufficient RAM when first time using SDXL ControlNet and how I fix it
37:39 First image generation results of SDXL ControlNet
39:21 SDXL ControlNet development discussion topic
40:22 Possible bug with ControlNet
41:10 How to use Stable Diffusion 1.5 version based ControlNet instead of SDXL ControlNet
43:29 What happens if you exceed your assigned disk space on a free Kaggle notebook
44:35 First time using SD 1.5 ControlNet model on a SD 1.5 based Realistic Vision 5.1 model
44:55 How to fix runtime error when changing SDXL to SD 1.5 based model
46:42 How to use PNG info to get the prompt
47:57 How to download all generated images