How to Run Stable-Diffusion using TensorRT and ComfyUI

Follow Along: https://console.brev.dev/launchable/deploy/now?userID=xswf1irzo&orgID=ejmrvoj8m&name=comfyUI-tensorRT-carter&instance=RTX+A6000%40NVIDIA-RTX+A6000-48Gi-PCIe-1x&diskStorage=500&cloudID=akash-brev-wg&baseImage=nvcr.io%2Fnvidia%2Ftensorrt%3A24.05-py3&ports=comfyui%3A8188&file=https%3A%2F%2Fgithub.com%2Fbrevdev%2Fnotebooks%2Fblob%2Fmain%2Ftensorrt-comfyui.ipynb&launchableID=env-2hU1R3hVyeFKQVnrmS8KPUiAUe2 Join Our Discord: https://discord.com/invite/NVDyv7TUgJ NVIDIA LinkedIn Post featuring Brev!: https://www.linkedin.com/posts/nvidia-ai_tensorrt-rtx-activity-7203849252198895617-diBa Blog Post Explaining TensorRT: https://brev.dev/blog/run-comfyui-with-tensorrt In this guide, we demonstrate the power of TensorRT, developed by Nvidia, to dramatically increase the inference speeds of stable diffusion using comfyUI . TensorRT automatically detects the hardware (RTX GPU) and creates an engine to have the most efficient inference possible. We are using our platform, brev.dev to package this demo into a launchable so you can follow along! Please leave any future guides you would like made below!