diff --git a/examples/workflow_flux.png b/examples/workflow_flux.png
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Binary files a/examples/workflow_flux.png and b/examples/workflow_flux.png differ
diff --git a/readme.md b/readme.md
index 50e082b..4d30127 100644
--- a/readme.md
+++ b/readme.md
@@ -1,3 +1,5 @@
+# JoyCaptionAlpha Two for ComfyUI
+[English](./readme_us.md) | 中文
 
 ## Recent changes 
 * [2024-10-12] v0.0.1: 基本完成[JoyCaptionAlpha Two](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two)到ComfyUI的实现
@@ -38,14 +40,17 @@ pip install -r ComfyUI_SLK_joy_caption_two\requirements.txt
 
 支持两个版本：bnb-4bit是小显存的福音，我是使用这个版本的，原版的我没有测试过，可自行测试。程序会自动下载，可自行下载。
 
-2.1 [unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)
+2.1 unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
 
-国内可以从镜像网站下载[hf/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://hf-mirror.com/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)
+国外：[unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)
+
+国内：[hf/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://hf-mirror.com/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)
 
 把整个文件夹内的内容复制到 `models\LLM\Meta-Llama-3.1-8B-Instruct-bnb-4bit` 下
 
+国外:[meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
 
-国内:[meta-llama/Meta-Llama-3.1-8B](https://hf-mirror.com/meta-llama/Llama-3.1-8B)
+国内:[hf/meta-llama/Meta-Llama-3.1-8B](https://hf-mirror.com/meta-llama/Llama-3.1-8B)
 
 把下载后的整个文件夹的内容复制到`models\LLM\Meta-Llama-3.1-8B`下
 ![image](./examples/Llama3.1-8b.png)
diff --git a/readme_us.md b/readme_us.md
new file mode 100644
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+++ b/readme_us.md
@@ -0,0 +1,80 @@
+# JoyCaptionAlpha Two for ComfyUI
+English | [中文](./readme.md)
+## Recent changes
+* [2024-10-12] v0.0.1: Basic implementation of [JoyCaptionAlpha Two](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two) on ComfyUI is completed.
+
+
+## Implementation of JoyCaptionAlpha Two on ComfyUI
+
+Referred to [Comfyui_CXH_joy_caption](https://github.com/StartHua/Comfyui_CXH_joy_caption) and [JoyCaptionAlpha Two](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two).
+
+Refer to the example workflow in examples/workflow.png:
+![image](./examples/workflow.png)
+
+### Dependency Installation
+
+1. Download and clone the repository to the custom_nodes subfolder.
+```
+cd custom_nodes
+git clone https://github.com/EvilBT/ComfyUI_SLK_joy_caption_two.git
+```
+2. Install related dependencies:
+```
+pip install -r ComfyUI_SLK_joy_caption_two\requirements.txt
+```
+3. Download related models.
+4. Restart ComfyUI.
+
+### Downloading Related Models
+The following "models" directory refers to the models folder under the ComfyUI root directory.
+
+#### 1. google/siglip-so400m-patch14-384:
+
+International: [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384)
+
+China: [hf/google/siglip-so400m-patch14-384](https://hf-mirror.com/google/siglip-so400m-patch14-384)
+
+It will be downloaded automatically. You can also manually download the entire repository and copy all files inside siglip-so400m-patch14-384 to `models/clip/siglip-so400m-patch14-384`.
+![image](./examples/clip.png)
+
+#### 2. Llama 3.1-8B Model Download
+
+Two versions are supported:
+
+* **unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit:** This version utilizes 4-bit quantization (bnb) and is ideal for users with limited VRAM. This is the version I personally use and recommend, especially for 8GB VRAM environments. 
+
+* **meta-llama/Meta-Llama-3.1-8B:** This is the standard, unquantized version of the model. I have not tested it extensively, but you are welcome to try it out.
+
+Both versions will be downloaded automatically by the program if they are not found, but you can also download them manually from the links below:
+
+**2.1 unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit**
+
+* **International:** [unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)
+* **China:** [hf/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://hf-mirror.com/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)
+
+After downloading, copy the entire contents of the folder to `models\LLM\Meta-Llama-3.1-8B-Instruct-bnb-4bit`.
+
+**2.2 meta-llama/Meta-Llama-3.1-8B**
+
+* **International:** [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
+* **China:** [hf/meta-llama/Meta-Llama-3.1-8B](https://hf-mirror.com/meta-llama/Llama-3.1-8B)
+
+After downloading, copy the entire contents of the folder to `models\LLM\Meta-Llama-3.1-8B`.
+
+![image](./examples/Llama3.1-8b.png)
+
+#### 3. Joy-Caption-alpha-two Model Download (must be downloaded manually)
+
+Download and copy all the contents of the `cgrkzexw-599808` folder under [Joy-Caption-alpha-two](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two/tree/main) to `models/Joy_caption_two`.
+![image](./examples/joy_caption.png)
+
+### After restarting ComfyUI, you can add and use it. Refer to the following images for details:
+![image](./examples/workflow.png)
+![image](./examples/workflow_flux.png)
+
+### Others
+
+If you have installed the [AIGODLIKE-ComfyUI-Translation](https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Translation) language pack plugin, you can copy the Chinese translation under the `translation` folder to the corresponding language pack path, and restart to use the Chinese version.
+Copy `translation/zh-CN/Nodes/Comfyui_SLK_joy_caption_two.json` to the directory: `AIGODLIKE-ComfyUI-Translation\zh-CN\Nodes`.
+
+You can open an issue to ask me if you have any questions. It has not been fully tested, I am using an 8G VRAM environment.
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