https://github.com/toriato/stable-diffusion-webui-wd14-tagger
时间: 2025-01-15 11:12:07 浏览: 76
### GitHub stable-diffusion-webui-wd14-tagger 项目信息
#### 项目概述
`stable-diffusion-webui-wd14-tagger` 是一个用于 Stable Diffusion Web UI 的扩展插件,旨在提供图像标签功能。通过此工具,用户可以更方便地管理和应用图像标签,从而提高创作效率。
#### 获取方式
为了获取 `stable-diffusion-webui-wd14-tagger` 扩展,建议前往其官方 GitHub 页面进行克隆或下载压缩包[^1]。通常情况下,在 GitHub 上可以直接点击 "Code" 按钮来选择适合的方式获取源码。
#### 安装指南
在安装该扩展之前,请确认已经按照推荐配置完成了 Python 环境搭建并选择了适当版本,如 Python 3.10.6 版本。接着可以通过命令行进入 WebUI 插件目录执行 git clone 命令完成安装:
```bash
git clone https://github.com/yuvalkirstain/stable-diffusion-webui-wd14-tagger.git extensions/wd14-tagger
```
#### 使用说明
启动 WebUI 后,应该能够在界面上找到由 wd14-tagger 提供的新特性选项。这些新加入的功能可以帮助更好地处理和标注图片数据集。
相关问题
https://github.com/toriato/stable-diffusion-webui-wd14-tagger.git
The link you provided appears to be a Git repository URL for the "stable-diffusion-webui-wd14-tagger" project on GitHub. It seems to be related to a web interface (UI) for tagging images using a tool called Stable Diffusion, which might be an image recognition or annotation system.
Unfortunately, without downloading or accessing the code directly, I cannot provide a live demonstration of the application. However, if you want to explore this project yourself, you can follow these steps:
1. **Clone the repository**:
Clone the repository to your local machine using the command line:
```
git clone https://github.com/toriato/stable-diffusion-webui-wd14-tagger.git
```
2. **Install dependencies**:
Check the `requirements.txt` file in the root directory and install any necessary packages using `pip`, e.g., `pip install -r requirements.txt`.
3. **Run the server**:
Look for a script or instructions on how to start the web application server, typically a `.sh` or `start.sh` file.
4. **Access the web UI**:
Open your browser and navigate to `http://localhost:PORT` (replace PORT with the actual port number specified in the project), where you'll find the web interface for tagging images.
Please note that since I'm not able to access the contents of the repository, I cannot provide specific details about the features or functionality of the UI without examining the code.
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