"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images":"训练 embedding 或者 hypernetwork; 必须指定一组具有 1:1 比例图像的目录",
"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images":"训练 embedding 或者 hypernetwork; 必须指定一组具有 1:1 比例图像的目录",
"URL for extension's git repository":"扩展的 git 仓库链接",
"URL for extension's git repository":"扩展的 git 仓库链接",
...
@@ -486,8 +499,8 @@
...
@@ -486,8 +499,8 @@
"What to put inside the masked area before processing it with Stable Diffusion.":"在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么",
"What to put inside the masked area before processing it with Stable Diffusion.":"在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么",
"fill it with colors of the image":"用图像的颜色(高强度模糊)填充它",
"fill it with colors of the image":"用图像的颜色(高强度模糊)填充它",
"keep whatever was there originally":"保留原来的图像,不进行预处理",
"keep whatever was there originally":"保留原来的图像,不进行预处理",
"fill it with latent space noise":"用潜空间的噪声填充它",
"fill it with latent space noise":"于潜空间填充噪声",
"fill it with latent space zeroes":"用潜空间的零填充它",
"fill it with latent space zeroes":"于潜空间填零",
"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image":"将蒙版区域(包括预留像素长度的缓冲区域)放大到目标分辨率,进行局部重绘。\n然后缩小并粘贴回原始图像中",
"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image":"将蒙版区域(包括预留像素长度的缓冲区域)放大到目标分辨率,进行局部重绘。\n然后缩小并粘贴回原始图像中",
"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.":"将图像大小调整为目标分辨率。除非高度和宽度匹配,否则你将获得不正确的纵横比",
"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.":"将图像大小调整为目标分辨率。除非高度和宽度匹配,否则你将获得不正确的纵横比",
"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.":"调整图像大小,使整个目标分辨率都被图像填充。裁剪多出来的部分",
"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.":"调整图像大小,使整个目标分辨率都被图像填充。裁剪多出来的部分",
...
@@ -516,6 +529,8 @@
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@@ -516,6 +529,8 @@
"Autocomplete options":"自动补全选项",
"Autocomplete options":"自动补全选项",
"Enable Autocomplete":"开启Tag补全",
"Enable Autocomplete":"开启Tag补全",
"Append commas":"附加逗号",
"Append commas":"附加逗号",
"latest":"最新",
"behind":"落后",
"Roll three":"抽三位出来",
"Roll three":"抽三位出来",
"Generate forever":"无限生成",
"Generate forever":"无限生成",
"Cancel generate forever":"停止无限生成",
"Cancel generate forever":"停止无限生成",
...
@@ -536,15 +551,13 @@
...
@@ -536,15 +551,13 @@
"Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.":"在生成图像之前从模型(ckpt)中加载权重。你可以使用哈希值或文件名的一部分(如设置中所示)作为模型(ckpt)名称。建议用在Y轴上以减少过程中模型的切换",
"Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.":"在生成图像之前从模型(ckpt)中加载权重。你可以使用哈希值或文件名的一部分(如设置中所示)作为模型(ckpt)名称。建议用在Y轴上以减少过程中模型的切换",
"Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).":"Torch active: 在生成过程中,Torch使用的显存(VRAM)峰值,不包括缓存的数据。\nTorch reserved: Torch 分配的显存(VRAM)的峰值量,包括所有活动和缓存数据。\nSys VRAM: 所有应用程序分配的显存(VRAM)的峰值量 / GPU 的总显存(VRAM)(峰值利用率%)",
"Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).":"Torch active: 在生成过程中,Torch使用的显存(VRAM)峰值,不包括缓存的数据。\nTorch reserved: Torch 分配的显存(VRAM)的峰值量,包括所有活动和缓存数据。\nSys VRAM: 所有应用程序分配的显存(VRAM)的峰值量 / GPU 的总显存(VRAM)(峰值利用率%)",
"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",
"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",
"Upscaler":"放大算法",
"Start drawing":"开始绘制",
"Start drawing":"开始绘制",
"Description":"描述",
"Description":"描述",
"Action":"行动",
"Action":"行动",
"Aesthetic Gradients":"美术风格",
"Aesthetic Gradients":"美术风格梯度",
"aesthetic-gradients":"美术风格",
"aesthetic-gradients":"美术风格梯度",
"Wildcards":"通配符",
"Wildcards":"通配符",
"stable-diffusion-webui-wildcards":"通配符",
"Dynamic Prompts":"动态提示词",
"Dynamic Prompts":"动态提示",
"Image browser":"图库浏览器",
"Image browser":"图库浏览器",
"images-browser":"图库浏览器",
"images-browser":"图库浏览器",
"Inspiration":"灵感",
"Inspiration":"灵感",
...
@@ -554,7 +567,7 @@
...
@@ -554,7 +567,7 @@
"Dataset Tag Editor":"数据集标签编辑器",
"Dataset Tag Editor":"数据集标签编辑器",
"----无效----":"----以下内容无法被翻译,Bug----",
"----not work----":"----以下内容无法被翻译,Bug----",
"Add a random artist to the prompt.":"随机添加一个艺术家到提示词中",
"Add a random artist to the prompt.":"随机添加一个艺术家到提示词中",
"Read generation parameters from prompt or last generation if prompt is empty into user interface.":"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",
"Read generation parameters from prompt or last generation if prompt is empty into user interface.":"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",
"Save style":"储存为模版风格",
"Save style":"储存为模版风格",
...
@@ -574,10 +587,9 @@
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@@ -574,10 +587,9 @@
"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}",
"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}",
"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",
"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",