"Train an embedding; must specify a directory with a set of 1:1 ratio images":"训练 embedding； 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",
"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",
"[wiki]":"[帮助]",
"[wiki]":"[帮助]",
"Embedding":"Embedding",
"Embedding":"Embedding",
"Embedding Learning rate":"Embedding 学习率",
"Embedding Learning rate":"Embedding 学习率",
"Hypernetwork Learning rate":"Hypernetwork 学习率",
"Hypernetwork Learning rate":"Hypernetwork 学习率",
"Learning rate":"学习率",
"Dataset directory":"数据集目录",
"Dataset directory":"数据集目录",
"Log directory":"日志目录",
"Log directory":"日志目录",
"Prompt template file":"提示词模版文件",
"Prompt template file":"提示词模版文件",
...
@@ -314,25 +303,15 @@
...
@@ -314,25 +303,15 @@
"Train Embedding":"训练 Embedding",
"Train Embedding":"训练 Embedding",
"Create an aesthetic embedding out of any number of images":"从任意数量的图像中创建美术风格 embedding",
"Create an aesthetic embedding out of any number of images":"从任意数量的图像中创建美术风格 embedding",
"Create images embedding":"生成图集 embedding",
"Create images embedding":"生成图集 embedding",
"txt2img history":"文生图历史记录",
"Favorites":"已保存",
"img2img history":"图生图历史记录",
"Others":"其他",
"extras history":"更多选项卡的历史记录",
"Renew Page":"刷新页面",
"extras":"更多",
"favorites":"已保存",
"others":"其他",
"custom fold":"自定义文件夹",
"Load":"载入",
"Images directory":"图像目录",
"Images directory":"图像目录",
"Dropdown":"下拉列表",
"Dropdown":"下拉列表",
"Prev batch":"上一批",
"Next batch":"下一批",
"First Page":"首页",
"First Page":"首页",
"Prev Page":"上一页",
"Prev Page":"上一页",
"Page Index":"页数",
"Page Index":"页数",
"Next Page":"下一页",
"Next Page":"下一页",
"End Page":"尾页",
"End Page":"尾页",
"number of images to delete consecutively next":"接下来要连续删除的图像数",
"delete next":"删除下一张",
"delete next":"删除下一张",
"Delete":"删除",
"Delete":"删除",
"sort by":"排序方式",
"sort by":"排序方式",
...
@@ -341,9 +320,8 @@
...
@@ -341,9 +320,8 @@
"keyword":"搜索",
"keyword":"搜索",
"Generate Info":"生成信息",
"Generate Info":"生成信息",
"File Name":"文件名",
"File Name":"文件名",
"Collect":"保存",
"Move to favorites":"移动到已保存",
"Refresh page":"刷新页面",
"Renew Page":"刷新页面",
"Date to":"日期至",
"Number":"数量",
"Number":"数量",
"set_index":"设置索引",
"set_index":"设置索引",
"load_switch":"载入开关",
"load_switch":"载入开关",
...
@@ -400,7 +378,6 @@
...
@@ -400,7 +378,6 @@
"Always print all generation info to standard output":"始终将所有生成信息输出到 standard output (一般为控制台)",
"Always print all generation info to standard output":"始终将所有生成信息输出到 standard output (一般为控制台)",
"Add a second progress bar to the console that shows progress for an entire job.":"向控制台添加第二个进度条，显示整个作业的进度",
"Add a second progress bar to the console that shows progress for an entire job.":"向控制台添加第二个进度条，显示整个作业的进度",
"Training":"训练",
"Training":"训练",
"Unload VAE and CLIP from VRAM when training":"训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.":"训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.":"训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
"Filename word regex":"文件名用词的正则表达式",
"Filename word regex":"文件名用词的正则表达式",
"Filename join string":"文件名连接用字符串",
"Filename join string":"文件名连接用字符串",
...
@@ -463,9 +440,7 @@
...
@@ -463,9 +440,7 @@
"Preload images at startup":"在启动时预加载图像",
"Preload images at startup":"在启动时预加载图像",
"Number of columns on the page":"每页列数",
"Number of columns on the page":"每页列数",
"Number of rows on the page":"每页行数",
"Number of rows on the page":"每页行数",
"Number of pictures displayed on each page":"每页显示的图像数量",
"Minimum number of pages per load":"每次加载的最小页数",
"Minimum number of pages per load":"每次加载的最小页数",
"Number of grids in each row":"每行显示多少格",
"Wildcards":"通配符",
"Wildcards":"通配符",
"Use same seed for all images":"为所有图像使用同一个随机种子",
"Use same seed for all images":"为所有图像使用同一个随机种子",
"Request browser notifications":"请求浏览器通知",
"Request browser notifications":"请求浏览器通知",
...
@@ -520,7 +495,6 @@
...
@@ -520,7 +495,6 @@
"Result = A * (1 - M) + B * M":"结果 = A * (1 - M) + B * M",
"Result = A * (1 - M) + B * M":"结果 = A * (1 - M) + B * M",
"Result = A + (B - C) * M":"结果 = A + (B - C) * M",
"Result = A + (B - C) * M":"结果 = A + (B - C) * M",
"1st and last digit must be 1. ex:'1, 2, 1'":"第一个和最后一个数字必须是 1。例:'1, 2, 1'",
"1st and last digit must be 1. ex:'1, 2, 1'":"第一个和最后一个数字必须是 1。例:'1, 2, 1'",
"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.":"训练应该多快。低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n 率1:步限1, 率2:步限2, ...\n\n如: 0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练",
"Path to directory with input images":"带有输入图像的路径",
"Path to directory with input images":"带有输入图像的路径",
"Path to directory where to write outputs":"进行输出的路径",
"Path to directory where to write outputs":"进行输出的路径",
"Input images directory":"输入图像目录",
"Input images directory":"输入图像目录",
...
@@ -533,9 +507,38 @@
...
@@ -533,9 +507,38 @@
"Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.":"仅适用于内补绘制专用的模型。 决定了蒙版在内补绘制以及图生图中屏蔽原图内容的强度。 1.0 表示完全屏蔽，这是默认行为。 0.0 表示完全不屏蔽。 较低的值将有助于保持图像的整体构图，但很难遇到较大的变化。",
"Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.":"仅适用于内补绘制专用的模型。 决定了蒙版在内补绘制以及图生图中屏蔽原图内容的强度。 1.0 表示完全屏蔽，这是默认行为。 0.0 表示完全不屏蔽。 较低的值将有助于保持图像的整体构图，但很难遇到较大的变化。",
"List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.":"设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
"List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.":"设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
"If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.":"如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声。你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
"If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.":"如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声。你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
"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",
"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",
"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",
"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",
}
"History":"历史记录",
"Show Textbox":"显示文本框",
"File with inputs":"含输入内容的文件",
"Prompts":"提示词",
"Disabled when launched with --hide-ui-dir-config.":"启动 --hide-ui-dir-config 时禁用",
"Train an embedding; must specify a directory with a set of 1:1 ratio images":"训练 embedding； 必须指定一组具有 1:1 比例图像的目录",
"Learning rate":"学习率",
"txt2img history":"文生图历史记录",
"img2img history":"图生图历史记录",
"extras history":"更多选项卡的历史记录",
"extras":"更多",
"custom fold":"自定义文件夹",
"Load":"载入",
"Prev batch":"上一批",
"Next batch":"下一批",
"number of images to delete consecutively next":"接下来要连续删除的图像数",
"Date to":"日期至",
"Refresh page":"刷新页面",
"Unload VAE and CLIP from VRAM when training":"训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
"Number of pictures displayed on each page":"每页显示的图像数量",
"Number of grids in each row":"每行显示多少格",
"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.":"训练应该多快。低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n 率1:步限1, 率2:步限2, ...\n\n如: 0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练"
