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

Lecture 15 : How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod – Easy Tutorial

icarus November 10, 2023

Updated for SDXL 1.0. Our beloved #Automatic1111 Web UI is now supporting Stable Diffusion X-Large (#SDXL). In this video I will show you how to install and use SDXL in Automatic1111 Web UI on #RunPod. Moreover, I will show how to do proper high resolution fix (Hires. fix) workflow. Furthermore, I will test the speed of Automatic1111 with SDXL on a cheap RunPod RTX 3090 GPU.

Source GitHub Readme File ⤵️

1 Click Auto RunPod Installer For SDXL and Automatic1111 Web UI ⤵️

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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 ⤵️

0:00 How to install and use SDXL with Automatic1111 on RunPod tutorial intro
0:27 How to use Stable Diffusion XL (SDXL) if you don’t have a GPU or a PC
0:55 How to login your RunPod account
1:11 Select which RunPod machine and template for SDXL
1:22 How to increase RunPod disk size / volume size
1:40 Where to see logs of the Pods
1:50 How to connect the Pod JupyterLab interface
2:04 The first thing you need to do is editing file
2:46 How to install SDXL on RunPod with 1 click auto installer
3:24 Continuing with manual installation
4:32 GitHub branches are explained
5:04 How to update your Automatic1111 Web UI to the latest version via git pull
5:50 How to download SDXL models to the RunPod
6:34 How to download Hugging Face models with token and authentication via wget
7:58 How to start Automatic1111 instance on RunPod after installation
8:44 Amazing Stable Diffusion prompts,
9:56 Sometimes pods may be broken so move to another new pod
10:15 Speed testing SDXL on RTX 3090 having pod
10:51 High resolution fix testing with SDXL (Hires. fix)
11:04 Hires. fix steps image generation speed results
11:41 How many steps do Hires. fix use
11:55 Amazing details of hires fix generated image with SDXL
12:24 The correct workflow of generating amazing hires. fix applied images
14:41 Base image vs high resolution fix applied image comparison
15:19 If you don’t know how to use Automatic1111 web UI

In this video, the presenter demonstrates how to use Stable Diffusion X-Large (SDXL) on RunPod with the Automatic1111 SD Web UI to generate high-quality images with high-resolution fix. The video also includes a speed test using a cheap GPU like the RTX 3090, which costs only 29 cents per hour to operate.

The video starts with the presenter introducing the topics they will cover. They mention that they have prepared a detailed GitHub readme file containing all the necessary instructions and commands, which will be regularly updated in the future based on viewer feedback. The link to this file is provided in the video’s description and comment section.

The first step demonstrated is how to log in to RunPod, and the option to register is also mentioned for those without an account. The presenter proceeds to show the audience how to start two instances of RunPod, one for automatic installation and the other for manual installation. They use the Stable Diffusion template and specify the volume disk size, choosing 100 GB in this case.

The presenter emphasizes the importance of modifying the file in Stable Diffusion web UI to enable proper functioning and killing of the initially started web UI instance. This step is necessary for both automatic and manual installations. They also show how to use their one-click installer for automatic installation, which streamlines the process.

For the manual installation, the presenter walks through the steps in detail. They explain the concept of branches in the Automatic1111 web UI repository and how to update the web UI to the latest version. They then proceed to download SDXL models from Hugging Face using tokens generated from the user’s Hugging Face account.

Once everything is set up, the presenter demonstrates how to generate images using the Automatic1111 web UI. They provide example prompts and show how to generate images using both low-resolution and high-resolution fix settings. During the process, they encounter some issues with the pod and restart it to continue the demonstration.

After generating images, the presenter compares the results and emphasizes the high-quality output of SDXL, surpassing SD 1.5. They also show how to use the high-resolution fix to upscale images and improve their quality.