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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 22 of 27
In Progress

Lecture 23 : How to Install & Run TensorRT on RunPod, Unix, Linux for 2x Faster Stable Diffusion Inference Speed

icarus November 10, 2023
Select languageDADENLENFRHIINITJANOPTESSVTHZH

Stable Diffusion Gets A Major Boost With RTX Acceleration. One of the most common ways to use Stable Diffusion, the popular Generative AI tool that allows users to produce images from simple text descriptions, is through the Stable Diffusion Web UI by Automatic1111. In today’s Game Ready Driver, NVIDIA added TensorRT acceleration for Stable Diffusion Web UI, which boosts GeForce RTX performance by up to 2X. In this tutorial video I will show you everything about this new Speed up via extension installation and TensorRT SD UNET generation.

#TensorRT #StableDiffusion #NVIDIA

Automatic Installer Of Tutorial ⤵️
https://www.patreon.com/posts/automatic-for-ui-86307255

Tutorial GitHub Readme File ⤵️
https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/Tutorial-Achieving-Significant-Stable-Diffusion-Speed-Improvement-With-RTX-Acceleration.md

0:00 Introduction to how to utilize RTX Acceleration / TensorRT for 2x inference speed
2:15 How to do a fresh installation of Automatic1111 SD Web UI
3:32 How to enable quick SD VAE and SD UNET selections from settings of Automatic1111 SD Web UI
4:38 How to install TensorRT extension to hugely speed up Stable Diffusion image generation
6:35 How to start / run Automatic1111 SD Web UI
7:19 How to install TensorRT extension manually via URL install
7:58 How to install TensorRT extension via git clone method
8:57 How to download and upgrade cuDNN files
11:23 Speed test of SD 1.5 model without TensorRT
11:56 How to generate a TensorRT for a model
12:47 Explanation of min, optimal, max settings when generating a TensorRT model
14:00 Where is ONNX file is exported
15:48 How to set command line arguments to not get any errors during TensorRT generation
16:55 How to get maximum performance when generating and using TensorRT
17:41 How to start using generated TensorRT for almost double speed
18:08 How to switch to dev branch of Automatic1111 SD Web UI for SDXL TensorRT usage
20:33 The comparison of image difference between TensoRT on and off
20:45 Speed test of TensorRT with multiple resolutions
21:32 Generating a TensorRT for Stable Diffusion XL (SDXL)
23:24 How to verify you have switched to dev branch of Automatic1111 Web UI to make SDXL TensorRT work
24:32 Generating images with SDXL TensorRT
25:00 How to generate TensorRT for your DreamBooth trained model
25:49 How to install After Detailer (ADetailer) extension and what does it do explanation
27:23 Starting generation of TensorRT for SDXL
28:06 Batch size vs batch count difference
29:00 How to train amazing SDXL DreamBooth model
29:10 How to get amazing prompt list for DreamBooth models and use them
30:25 The dataset I used for DreamBooth training myself and why it is deliberately low quality
30:46 How to generate TensorRT for LoRA models
33:30 Where and how to see TensorRT profiles you have for each model
36:57 Generating LoRA TensorRT for SD 1.5 and testing it
39:54 How to fix TensorRT LoRA not being effective bug