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

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 on RunPod. The tutorial can be also used on other Unix systems and on local Linux Operating Systems.

#TensorRT #StableDiffusion #NVIDIA

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0:00 Introduction to speed increase of TensorRT - RTX Acceleration on RunPod & Unix
3:10 Image quality comparison of TensorRT on vs TensorRT off for Stable Diffusion XL (SDXL)
4:14 How to install TensorRT on RunPod and on local Unix operating systems
7:30 How to check your current Nvidia driver on RunPod and on Unix
8:10 Extra tips for TensorRT
8.45 How to connect / open your Automatic1111 Web UI on RunPod
9:27 How to enable quick selection drop down options for VAE and TensorRT UNET
10:09 How to generate your first TensorRT model
10:19 TensorRT engine generation speed and duration
10:55 How to reload last image generation settings quickly
11:44 The amount of speed increase on RTX 3090 on RunPod with TensorRT

[SECourses]

Automatic Installer Of Tutorial ⤵

Comprehensive TensorRT Main Tutorial ⤵

TensorRT Official GitHub Repo ⤵

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 ⤵

[chavle]

Amazing! Thanks! Seeing 180% speed increase with 3090 Runpod.

[kirax]

I can only imagine how fast images will be generated in 1 year, probably 60 images per second

[SECourses]

00:51 🚀 TensorRT on RunPod can significantly speed up Stable Diffusion image generation, reducing processing time by up to 66%.
04:04 🖥 The tutorial demonstrates how to install TensorRT on RunPod for Unix users, specifically on Ubuntu-based systems like RunPod.
06:19 📦 The tutorial provides detailed steps for downloading and installing TensorRT, including the necessary dependencies and adjustments for Stable Diffusion Web UI.
09:07 📊 After TensorRT installation, users can see a significant improvement in inference speed, allowing for faster image generation on GPUs.
11:30 ⚙ The tutorial also covers how to configure settings for TensorRT and generate images with improved speed and efficiency.
12:52 📢 The video concludes by encouraging viewers to explore TensorRT for faster image generation and provides links to additional resources.

[HO-cjut]

3060 graphics card gives error. Do you have a service or solution on this issue?

[DavidSegura]

Thank you Furkan great tutorial as usual

[zephilde]

Hi! Is it working for other UIs? Like ComfyUI, Invoke, ...

[boogieman]

So this isn't actually "1 click?" I click means just that. Click it, it runs I'm done.

[abigailjennings]

How to use hires fix with it? I keep getting error

[hubozr]

So the way to install is to buy the script? Or am i missing something?

[Steven-fkvx]

This TensorRT extension is supporting API call?

[sammcj]

Just FYI Linux isn’t Unix, two different things :)

[mr.entezaee]

In the last few tutorials, you were referring us all to Patreon. While we didn't have a subscription and couldn't follow the training as it is... that is, none of the last few trainings actually worked for us.Don't worry about training on Patreon... Let us without subscriptions also be able to have a share and not be confused.We are from an embargoed country called Iran, so we cannot buy such subscriptions ....But instead, we would like to be compensated in another way