From 59df7a0d1b8e222da2a8cfaf2d0e9f7b394f45ca Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 5 Sep 2022 01:43:37 +0300
Subject: [PATCH] readme

---
 README.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 27abbb05..3bf90551 100644
--- a/README.md
+++ b/README.md
@@ -148,7 +148,8 @@ Open the URL in browser, and you are good to go.
 
 ### What options to use for low VRAM videocardsd?
 - If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use `--medvram`.
-- If you have 4GB VRAM and want to make 512x512 images, but you get an out of memory error with `--medvram`, use `--lowvram --always-batch-cond-uncond` instead.
+- If you have 4GB VRAM and want to make 512x512 images, but you get an out of memory error with `--medvram`, use `--opt-split-attention` instead.
+- If you have 4GB VRAM and want to make 512x512 images, and you still get an out of memory error, use `--lowvram --always-batch-cond-uncond` instead.
 - If you have 4GB VRAM and want to make images larger than you can with `--medvram`, use `--lowvram`.
 - If you have more VRAM and want to make larger images than you can usually make, use `--medvram`. You can use `--lowvram`
 also but the effect will likely be barely noticeable.
@@ -163,7 +164,7 @@ and the model will take much more space in VRAM.
 - k-diffusion - https://github.com/crowsonkb/k-diffusion.git
 - GFPGAN - https://github.com/TencentARC/GFPGAN.git
 - ESRGAN - https://github.com/xinntao/ESRGAN
-- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
+- Ideas for optimizations and some code (from users) - https://github.com/basujindal/stable-diffusion
 - Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
 - Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
 - (You)