From 4f6211566a9bc1ca066dde488586bb32921cd7d8 Mon Sep 17 00:00:00 2001
From: Jay <61973036+wootwootwootwoot@users.noreply.github.com>
Date: Mon, 22 Jul 2024 04:43:54 +0700
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index dbe823f..ca7c80d 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ ComfyUI Manager Menu > Install via Git URL > https://github.com/wootwootwootwoot
 ### Manual installation
 > From `ComfyUI/custom_nodes` and ComfyUI virtual environment
 ```
-git pull https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler.git
+git clone https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler.git
 pip install torchode
 ```
 
@@ -147,4 +147,4 @@ Tested on `RTX3090`, `SDXL`, `896x1152`, `CFG=30`, `ae_bosh3 (ComfyUI-RK-Sampler
 
 The Runge-Kutta methods are a family of methods used for solving approximate solutions of ODEs by iterative discretization (or, if in diffusion terms, by sampling).
 
-Runge-Kutta methods generally have less discretization error than standard diffusion sampling methods, allowing for the use of high CFG scales (within practical limits) to create high-quality results without artifacts.
\ No newline at end of file
+Runge-Kutta methods generally have less discretization error than standard diffusion sampling methods, allowing for the use of high CFG scales (within practical limits) to create high-quality results without artifacts.