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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 9 of 27
In Progress

Lecture 9 : Ultimate RunPod Tutorial For Stable Diffusion – Automatic1111 – Data Transfers, Extensions, CivitAI


Sign up RunPod: This is the Grand Master tutorial for running Stable Diffusion via Web UI on RunPod cloud services. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 🥰

SECourses Discord To Get Full Support ⤵️

#RunPod discord:

Colab Tutorial 1:

Colab Tutorial 2:

Automatic1111 Command Line:

Best DreamBooth Tutorial:

DreamBooth second tutorial:

RunPodCTL GitHub:

Pre-trained models repo link :

Web UI install tutorial on PC:

How To Use Different Models Automatic1111:

Textual Inversion Training Tutorial:

ControlNet Tutorial Video:

ControlNet extension:

ControlNet Model Files:

ControlNet Native Script:

Upgrade xformers Commands:

Kohya GUI:

Cloud sync:

0:00 Intro
1:32 How to register and charge your credits
2:34 How to deploy a pod – start a server for Stable Diffusion 1.5 Automatic1111 Web UI
3:30 How to select deployment template for Stable Diffusion Web UI in RunPod
4:00 Explanation of temporary disk and persistent volume
4:44 Explanation of credit spending per minute for storage usage in RunPod
8:10 My Pods section
8:30 Connect to the started Pod
8:41 Start SD 2.1 Version Web UI Pod
9:25 Why pick a lesser used Pod
10:53 Bidding system of
13:11 Where and how to see scheduled maintenance
13:31 Stop Pod vs Terminate (delete) Pod
14:24 Where to see logs to debug and understand errors
15:08 Connect your Pod via a Jupyter Lab interface
15:16 How to change Automatic1111 Web UI command line arguments and restart it
17:54 First prompt in RunPod Automatic1111 Web UI
18:45 Where to see logs, find error logs, debug them
19:35 How to install DreamBooth extension of Automatic1111 Web UI
20:58 Where the generated images are saved
21:10 How to download generated images
21:38 How to update installed extensions
21:55 How to notice port error and fix it
23:04 How to install runpodctl latest version to transfer files very quickly between Pods and PC
23:55 How to download a ckpt file very fast from Hugging Face repo
25:10 Start DreamBooth training with best model and settings
30:41 How to upload your training dataset images
34:15 How to upload thousands of images (big data) from your computer to RunPod via runpodctl
34:28 How to install RunPodCTL on your Windows computer
35:06 How to send files from your PC to RunPod via runpodctl
39:38 Where to find generated checkpoints and sample images during DreamBooth training
41:30 How to delete non-empty folder
41:51 Even though xformers not selected during training, still breaks training and how to fix it
42:29 How to download a folder from RunPod to your PC via runpodctl very quickly
43:09 How to add runpodctl to environment path to use from every folder
47:25 How to continue/resume DreamBooth training
48:20 Test all training checkpoints with x/y plot to find best one
52:09 How to set correct command line arguments for SD 2.1
52:55 Where to see currently spent credits per hour
54:05 How to do DreamBooth training on SD 2.1 – 768 pixel version with best possible settings
57:42 How to generate classification images manually very fast
1:00:26 Why SD 1.5 is superior to 2.1
1:04:34 How to download custom models very fast from CivitAI
1:08:45 How to do Textual Inversion training with some optimal settings
1:13:00 Where Textual Inversion training samples and checkpoints are saved
1:14:07 How to use Textual Inversion check points
1:15:55 Move generated SD 2.1 classification images into correct folder
1:19:26 How to install and run ControlNet extension on RunPod IO
1:21:11 How to download your trained model files (ckpt) into your PC very fast via runpodctl
1:25:00 How to upgrade xformers to 0.0.17 for DreamBooth SD 2.1 training
1:26:04 How to expand runtime disk space
1:27:21 Best settings for SD 2.1 with xformers
1:31:30 What is Stable Diffusion fine tuning and how to do fine tuning with DreamBooth
1:39:20 Best settings quick recap for SD 2.1 for 24 GB VRAM
1:40:34 How to install and run Kohya GUI on RunPod
1:44:16 How to enable public Gradio link for Kohya GUI
1:44:52 How to start RunPods without GPU
1:46:53 Cloud snyching your Pod data / content

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