diff --git a/README.adoc b/README.adoc
index 22e0913..5c0c7d4 100644
--- a/README.adoc
+++ b/README.adoc
@@ -35,7 +35,6 @@ that download model files on the first run (may cause freezing for users with ba
 == How to Use
 
 1. Only NVIDIA GPUs are supported, preferably with the latest drivers installed.
-** AMD GPUs may __possibly__ work with ZLUDA after installing the HIP SDK, and this requires modifying startup parameters, among other things.
 
 2. Download the package files from the release page:
 ** https://github.com/YanWenKun/ComfyUI-Windows-Portable/releases
@@ -49,7 +48,8 @@ that download model files on the first run (may cause freezing for users with ba
 ** If you don't want the browser to open automatically, add `--disable-auto-launch` to the startup arguments.
 
 ** If you're using 40/Ada series or newer GPU, you can try adding `--fast` to the startup arguments.
-https://github.com/comfyanonymous/ComfyUI/commit/9953f22fce0ba899da0676a0b374e5d1f72bf259[It has magic].
+It has
+https://github.com/comfyanonymous/ComfyUI/commit/9953f22fce0ba899da0676a0b374e5d1f72bf259[magic].
 
 
 5. After starting, the program will automatically open a browser, or you can visit: http://localhost:8188/
@@ -59,13 +59,15 @@ https://github.com/comfyanonymous/ComfyUI/commit/9953f22fce0ba899da0676a0b374e5d
 Few steps before running Comfy3D:
 
 1. Install
-https://visualstudio.microsoft.com/downloads/?q=build+tools[Visual Studio Build Tools 2022]
-with "Desktop development with C++" workload.
-Its compiler will be needed (for some JIT code).
+https://visualstudio.microsoft.com/downloads/?q=build+tools[Visual Studio Build Tools 2022].
+In the installer window, in "Individual components" tab, search and check "C++ core features".
+Its C++ compiler will be needed (for some JIT code).
 
 2. Install
 https://developer.nvidia.com/cuda-12-4-1-download-archive?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_network[CUDA Toolkit 12.4.1].
-Only link:docs/cuda-toolkit-install-selection.webp[Libraries and Compilers] are needed.
+Only
+https://github.com/YanWenKun/ComfyUI-Windows-Portable/raw/refs/heads/main/docs/cuda-toolkit-install-selection.webp[Libraries and Compilers]
+are needed.
 
 3. Edit `run_nvidia_gpu.bat`, reduce `TORCH_CUDA_ARCH_LIST` according to your
 https://github.com/ashawkey/stable-dreamfusion/issues/360#issuecomment-2292510049[GPU arch],
diff --git a/README.zh.adoc b/README.zh.adoc
index 63d391f..54c51f9 100644
--- a/README.zh.adoc
+++ b/README.zh.adoc
@@ -33,7 +33,6 @@ https://github.com/ltdrdata/ComfyUI-Impact-Pack[Impact Pack]
 ## 如何使用
 
 1. 仅支持 NVIDIA 显卡，最好先装好最新驱动
-** AMD 显卡在安装 HIP SDK 后 __也许__ 能用 ZLUDA 启动，需要修改启动参数等
 
 2. 在发布页面下载整合包：
 ** https://github.com/YanWenKun/ComfyUI-Windows-Portable/releases
@@ -57,13 +56,16 @@ https://github.com/comfyanonymous/ComfyUI/commit/9953f22fce0ba899da0676a0b374e5d
 == 运行 3D-Pack 前置条件
 
 1. 安装
-https://visualstudio.microsoft.com/downloads/?q=build+tools[Visual Studio 2022 生成工具]
-（选择安装“桌面C++开发”），其他版本 VS + CPP 亦可。
+https://visualstudio.microsoft.com/downloads/?q=build+tools[Visual Studio 2022 生成工具]，
+安装时选择“单个组件”，搜索并勾选“C++ 核心功能”，其他不需要。
+如已安装其他版本 VS + CPP，可以略过此步骤。
 一些 PyTorch 的 CPP 扩展需要 JIT 编译。
 
 2. 安装
 https://developer.nvidia.com/cuda-12-4-1-download-archive?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_network[CUDA Toolkit 12.4.1]，
-只需安装 link:docs/cuda-toolkit-install-selection.webp[Libraries 与 Compilers]。
+只需安装
+https://github.com/YanWenKun/ComfyUI-Windows-Portable/raw/refs/heads/main/docs/cuda-toolkit-install-selection.webp[Libraries 与 Compilers]
+。
 
 3. 编辑 `run_nvidia_gpu.bat`，根据你的
 https://github.com/ashawkey/stable-dreamfusion/issues/360#issuecomment-2292510049[GPU 架构]
diff --git "a/attachments/\344\270\255\346\226\207\350\204\232\346\234\254/run_cn.bat" "b/attachments/\344\270\255\346\226\207\350\204\232\346\234\254/run_cn.bat"
index 9809f23..3cb122a 100644
--- "a/attachments/\344\270\255\346\226\207\350\204\232\346\234\254/run_cn.bat"
+++ "b/attachments/\344\270\255\346\226\207\350\204\232\346\234\254/run_cn.bat"
@@ -32,7 +32,7 @@ set TORCH_CUDA_ARCH_LIST=5.2+PTX;6.0;6.1+PTX;7.5;8.0;8.6;8.9+PTX
 @REM 该行命令会配置 PATH 环境变量。
 set PATH=%PATH%;%~dp0\python_embeded\Scripts
 
-@REM 该行命令会使 .pyc 文件集中保存在一处。
+@REM 该行命令会使 .pyc 缓存文件集中保存在一处。
 set PYTHONPYCACHEPREFIX=%~dp0\pycache
 
 @REM 该命令会复制 u2net.onnx 到用户主目录下，以免启动时还需下载。