"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",
"[wiki]":"[帮助]",
"Embedding":"Embedding",
"Embedding Learning rate":"Embedding 学习率",
"Hypernetwork Learning rate":"Hypernetwork 学习率",
"Learning rate":"学习率",
"Dataset directory":"数据集目录",
"Log directory":"日志目录",
"Prompt template file":"提示词模版文件",
@ -314,25 +302,15 @@
"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 images embedding":"生成图集 embedding",
"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",
"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",
"Dropdown":"下拉列表",
"Prev batch":"上一批",
"Next batch":"下一批",
"First Page":"首页",
"Prev Page":"上一页",
"Page Index":"页数",
"Next Page":"下一页",
"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":"删除",
"sort by":"排序方式",
@ -341,9 +319,8 @@
"keyword":"关键词",
"Generate Info":"生成信息",
"File Name":"文件名",
"Collect":"保存",
"Refresh page":"刷新页面",
"Date to":"日期至",
"Move to favorites":"Move to favorites",
"Renew Page":"刷新页面",
"Number":"数量",
"set_index":"设置索引",
"load_switch":"载入开关",
@ -400,7 +377,6 @@
"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)",
"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",
"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)",
"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",
@ -463,9 +439,7 @@
"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 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",
"Number of grids in each row":"每行显示多少格",
"Wildcards":"通配符",
"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",
@ -520,7 +494,6 @@
"Result = A * (1 - M) + B * M":"结果 = A * (1 - M) + B * 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'",
"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 where to write outputs":"进行输出的路径",
"Input images directory":"输入图像目录",
@ -537,5 +510,33 @@
"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",
"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"
dtlnor
3 years ago