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更新 zh_CN.json
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@ -444,13 +444,11 @@
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"Number of columns on the page": "每页列数",
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"Number of rows on the page": "每页行数",
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"Minimum number of pages per load": "每次加载的最小页数",
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"Wildcards": "通配符",
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"Use same seed for all images": "为所有图像使用同一个随机种子",
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"Request browser notifications": "请求浏览器通知",
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"Download localization template": "下载本地化模板",
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"Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体(无用户界面更新,无重启)",
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"Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重启 Gradio 及刷新组件(仅限自定义脚本、ui.py、js 和 css)",
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"Installed": "已安装",
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"Available": "可用",
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"Install from URL": "从网址安装",
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"Apply and restart UI": "应用并重启用户界面",
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@ -463,7 +461,6 @@
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"Extension index URL": "扩展列表链接",
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"URL for extension's git repository": "扩展的 git 仓库链接",
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"Local directory name": "本地路径名",
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"Install": "安装",
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"Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词(按 Ctrl+Enter 或 Alt+Enter 生成)\nPrompt",
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"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词(按 Ctrl+Enter 或 Alt+Enter 生成)\nNegative prompt",
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"Stop processing current image and continue processing.": "停止处理当前图像,并继续处理下一个",
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@ -541,6 +538,20 @@
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"Uscale the image in latent space. Alternative is to produce the full image from latent representation, upscale that, and then move it back to latent space.": "放大潜空间中的图像。而另一种方法是,从潜变量表达中直接解码并生成完整的图像,接着放大它,然后再将其编码回潜空间",
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"Upscaler": "放大算法",
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"Start drawing": "开始绘制",
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"Description": "描述",
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"Action": "行动",
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"Aesthetic Gradients": "美术风格",
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"aesthetic-gradients": "美术风格",
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"Wildcards": "通配符",
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"stable-diffusion-webui-wildcards": "通配符",
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"Dynamic Prompts": "动态提示",
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"Image browser": "图库浏览器",
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"images-browser": "图库浏览器",
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"Inspiration": "灵感",
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"Deforum": "Deforum",
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"Artists to study": "艺术家图库",
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"Aesthetic Image Scorer": "美术风格评分",
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"Dataset Tag Editor": "数据集标签编辑器",
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"----无效----": "----以下内容无法被翻译,Bug----",
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@ -557,6 +568,9 @@
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"Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "选择哪些 Real-ESRGAN 模型显示在网页用户界面。(需要重新启动)",
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"Allowed categories for random artists selection when using the Roll button": "使用抽选艺术家按钮时将会随机的艺术家类别",
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"Face restoration model": "面部修复模型",
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"Install": "安装",
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"Installing...": "安装中...",
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"Installed": "已安装",
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"Style to apply; styles have components for both positive and negative prompts and apply to both": "要使用的模版风格; 模版风格包含正向和反向提示词,并应用于两者\n\ud83c\udfa8 随机添加一个艺术家到提示词中\n \u2199\ufe0f 从提示词中读取生成参数,如果提示词为空,则读取上一次的生成参数到用户界面\n\ud83d\udcbe 将当前的提示词保存为模版风格(保存在styles.csv)\n\ud83d\udccb 将所选模板风格,应用于当前提示词\n如果你在文本中添加{prompt}标记,并保存为模版风格\n那么将来你使用该模版风格时,你现有的提示词会替换模版风格中的{prompt}",
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"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和随机种子生成的图像会得到相同的结果\n\ud83c\udfb2 将随机种子设置为-1,则每次都会使用一个新的随机数\n\u267b\ufe0f 重用上一次使用的随机种子,如果想要固定输出结果就会很有用",
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