From fbf0a337c2b2a72006450e4b3366c2ad12b1f547 Mon Sep 17 00:00:00 2001 From: Sam Khoze <68170403+SamKhoze@users.noreply.github.com> Date: Fri, 21 Jun 2024 19:09:00 -0700 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4083c62..a29ca71 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# ๐Ÿ‘‰๐Ÿผ๐Ÿ‘‰๐Ÿผ๐Ÿ‘‰๐ŸผPlease take note of the following information: This repository is compatible and optimized for use with MAC CPU+MPS and Windows with CPU+CUDA. The installation process is not beginner-friendly for enabling CUDA [Toolkit==11.8] (https://developer.nvidia.com/cuda-11-8-0-download-archive) and [cuDNN] (https://developer.nvidia.com/cudnn-downloads?target_os=Windows&target_arch=x86_64&target_version=Agnostic&cuda_version=11) (CUDA Deep Neural Network). If you are unsure about installing CUDA, you can still use the CPU, and no CUDA installation will be necessary. However, if you are able to install CUDA correctly, the processing speed will increase significantly. +# ๐Ÿ‘‰๐Ÿผ๐Ÿ‘‰๐Ÿผ๐Ÿ‘‰๐ŸผPlease take note of the following information: This repository is compatible and optimized for use with MAC CPU+MPS and Windows with CPU+CUDA. The installation process is not beginner-friendly for enabling CUDA [Toolkit==11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive) and [cuDNN](https://developer.nvidia.com/cudnn-downloads?target_os=Windows&target_arch=x86_64&target_version=Agnostic&cuda_version=11) (CUDA Deep Neural Network). If you are unsure about installing CUDA, you can still use the CPU, and no CUDA installation will be necessary. However, if you are able to install CUDA correctly, the processing speed will increase significantly. # DeepFuze ### Watch the 4k Quality Video on [YOUTUBE](https://youtu.be/PTXMNz2xyVY) ![DeepFuze Lipsync](https://github.com/SamKhoze/ComfyUI-DeepFuze/blob/main/images/LipsyncDemo.gif)