From 7e09d35f57f3331baa14b64b5e55831bb36e9cbf Mon Sep 17 00:00:00 2001
From: City <125218114+city96@users.noreply.github.com>
Date: Fri, 16 Aug 2024 17:01:12 +0200
Subject: [PATCH] Update README.md

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index cb5a24a..6892d2e 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,9 @@ This is currently very much WIP. These custom nodes provide support for model fi
 
 While quantization wasn't feasible for regular UNET models (conv2d), transformer/DiT models such as flux seem less affected by quantization. This allows running it in much lower bits per weight variable bitrate quants on low-end GPUs.
 
-![Comfy_Flux1_dev_Q4_0_GGUF_1024](https://github.com/user-attachments/assets/23150750-bcb6-49ef-a78f-9c814528a640)
+![Comfy_Flux1_dev_Q4_0_GGUF_1024](https://github.com/user-attachments/assets/70d16d97-c522-4ef4-9435-633f128644c8)
+
+Note: The "Force/Set CLIP Device" is **NOT** part of this node pack. Do not install it if you only have one GPU. Do not set it to cuda:0 then complain about OOM errors if you do not undestand what it is for. There is not need to copy the workflow above, just use your own workflow and replace the stock "Load Diffusion Model" with the "Unet Loader (GGUF)" node.
 
 ## Installation