From c36b7236e65944ae7e76b6e586785fce7ee190f9 Mon Sep 17 00:00:00 2001
From: City <125218114+city96@users.noreply.github.com>
Date: Sun, 30 Mar 2025 18:46:09 +0200
Subject: [PATCH] Update README.md

---
 tools/README.md | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/tools/README.md b/tools/README.md
index 2bee67b..6d1ee90 100644
--- a/tools/README.md
+++ b/tools/README.md
@@ -29,14 +29,6 @@ git checkout tags/b3962
 git apply ..\lcpp.patch
 ```
 
-- To quantize **SD3** or **AuraFlow** models, you should use the patch  `lcpp_sd3.patch` and target `tags/b3962` instead.
-- There is a [WIP PR for other model architectures](https://github.com/city96/ComfyUI-GGUF/pull/216)
-```
-cd llama.cpp
-git checkout tags/b3962
-git apply ..\lcpp_sd3.patch
-```
-
 
 ## STEP 5 (Compile llama-quantize binary)
 
@@ -60,7 +52,7 @@ llama.cpp\build\bin\Debug\llama-quantize.exe E:\models\unet\flux1-dev-BF16.gguf
 You can extract the patch again with `git diff src\llama.cpp > lcpp.patch` if you wish to change something and contribute back.
 
 > [!WARNING] 
->For hunyuan video, you will have to uncomment the block in convert.py that deals with 5D tensors. This will save a **non functional** model to disk first, that you can quantize. After quantization, run `fix_5d_tensor.py` to add back the missing key that was saved by the conversion code. You will have to edit this file to set the correct paths/architecture. This may change in the future.
+>For hunyuan video/wan 2.1, you will have to uncomment the block in convert.py that deals with 5D tensors. This will save a **non functional** model to disk first, that you can quantize. After quantization, run `fix_5d_tensor.py` to add back the missing key that was saved by the conversion code. You will have to edit this file to set the correct paths/architecture. This may change in the future.
 
 
 > [!WARNING]