Add missing keys
parent
546732fe1c
commit
a4deb2c026
|
|
@ -378,6 +378,7 @@
|
|||
"Enable AA for Upscaling.": "放大时启用抗锯齿(AA)",
|
||||
"Enable Bilingual Localization": "启用双语对照翻译",
|
||||
"Enable CFG-Based guidance": "启用基于CFG的引导(CFG-Based guidance)(配合无提示词(prompt)模式使用时请删除所有提示词,推荐设置\"采样次数:50,CFG:3~5\",ControlNet将会自动识别输入的模式图)",
|
||||
"Enable Devtools Log": "启用开发工具日志",
|
||||
"Enable Dynamic Thresholding (CFG Scale Fix)": "启用动态阈值(提示词相关性修复 - CFG Scale Fix)",
|
||||
"Enable Jinja2 templates": "启用 Jinja2 模板",
|
||||
"Enable Maintenance tab": "启用 维护 选项卡",
|
||||
|
|
@ -388,6 +389,7 @@
|
|||
"Enable pixelization": "启用像素化",
|
||||
"Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后处理操作",
|
||||
"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需要保存设置并重启才能应用",
|
||||
"Enable tensorboard logging.": "启用 tensorboard 日志记录。",
|
||||
"Enabled": "启用",
|
||||
"Encoder Tile Size": "编码器图块尺寸(Encoder Tile Size)",
|
||||
"End Page": "尾页",
|
||||
|
|
@ -400,6 +402,7 @@
|
|||
"Eta noise seed delta": "Eta 噪声种子偏移(ENSD - Eta noise seed delta,建议值31337)",
|
||||
"Examples": "示例",
|
||||
"Exclude tags (split by comma)": "排除以下标签(逗号分隔)",
|
||||
"Extra text to add before <...> when adding extra network to prompt": "添加额外的网络进行提示时,<...> 前的额外文本",
|
||||
"Excudes (split by comma)": "排除项(逗号分隔)",
|
||||
"Existing Caption Action": "对已有的描述文本的行为",
|
||||
"Existing Caption txt Action": "对已有的 txt 描述文本的行为",
|
||||
|
|
@ -472,6 +475,7 @@
|
|||
"Help": "帮助",
|
||||
"Help for Jinja2 templates": "Jinja2 模板帮助",
|
||||
"Here, a random number between 1 and 3 words from adjective.txt will be chosen and joined together with the word 'and' instead of the default comma.": "此处,会从 adjective.txt 中选取随机 1 至 3 行,以 'and' (而不是默认的逗号)拼接",
|
||||
"Hidden UI tabs (requires restart)": "需要隐藏的选项卡 (需要重启)",
|
||||
"Hide annotator result": "隐藏预处理预览",
|
||||
"Hide extensions with tags": "隐藏含有以下标签的扩展",
|
||||
"Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样器(需要保存设置并重启)",
|
||||
|
|
@ -486,6 +490,7 @@
|
|||
"Horizontal Mirroring": "水平镜像",
|
||||
"Horizontal+Vertical Mirroring": "垂直+水平镜像",
|
||||
"How many results to load at once": "单次加载的结果数量",
|
||||
"How often, in seconds, to flush the pending tensorboard events and summaries to disk.": "将挂起的 tensorboard 事件和摘要刷新到磁盘的频率 (单位:秒)",
|
||||
"HuggingFace Token": "HuggingFace 令牌(Token)",
|
||||
"Hypernetwork": "超网络(Hypernetwork)",
|
||||
"Hypernetwork Learning rate": "超网络学习率",
|
||||
|
|
@ -903,6 +908,7 @@
|
|||
"Page Number": "页数",
|
||||
"Parse Recipe": "剖析配方",
|
||||
"Parse Result": "剖析结果",
|
||||
"Passing ControlNet parameters with \"Send to img2img\"": "使用“发送到图生图”传递ControlNet参数",
|
||||
"Path to JSON file with concepts to train.": "用于训练概念的 JSON 文件路径",
|
||||
"Path to classifier ckpt, can be empty": "分类器的路径,可留空",
|
||||
"Path to directory where to write outputs": "进行输出的目录路径",
|
||||
|
|
@ -1037,10 +1043,12 @@
|
|||
"Save": "保存",
|
||||
"Save & Restart": "保存并重启",
|
||||
"Save Embedding": "保存 Embedding",
|
||||
"Save generated images within tensorboard.": "将生成的图像保存在 tensorboard中",
|
||||
"Save JSON": "储存为 JSON文件",
|
||||
"Save Metadata": "保存元数据",
|
||||
"Save PNG": "保存为 PNG图片",
|
||||
"Save Settings": "储存设置",
|
||||
"Save textual inversion and hypernet settings to a text file whenever training starts.": "训练开始时,将 textual inversion 和 hypernet 的设置保存到 txt 中",
|
||||
"Save Video Settings": "保存视频设置",
|
||||
"Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步将 Embedding 的副本保存到日志目录,0 表示禁用",
|
||||
"Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
|
||||
|
|
@ -1061,6 +1069,7 @@
|
|||
"Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息,作为块保存到 PNG 图片文件中(强烈建议开启)",
|
||||
"Save with JSON": "保存JSON文件",
|
||||
"Saved directories": "已保存的路径",
|
||||
"Saves Optimizer state as separate *.optim file. Training of embedding or HN can be resumed with the matching optim file.": "将优化器状态保存为单独的 *.optim 文件 (可以使用匹配的optim文件来恢复中断的embadding或HN模型的训练)",
|
||||
"Saving images/grids": "保存图像/宫格图",
|
||||
"Saving to a directory": "保存到目录",
|
||||
"Scale Factor": "缩放系数",
|
||||
|
|
@ -1243,12 +1252,17 @@
|
|||
"Transparent": "透明",
|
||||
"Travel mode": "变迁模式",
|
||||
"Travel steps between stages": "每个阶段变迁的迭代步数",
|
||||
"Turn on pin_memory for DataLoader. Makes training slightly faster but can increase memory usage.": "打开 DataLoader 的 pin_memeory (稍微加快训练速度,但会增加内存消耗)",
|
||||
"UI related": "UI界面相关",
|
||||
"UNet Weight 1": "UNet 权重 1",
|
||||
"UNet Weight 2": "UNet 权重 2",
|
||||
"UNet Weight 3": "UNet 权重 3",
|
||||
"UNet Weight 4": "UNet 权重 4",
|
||||
"UNet Weight 5": "UNet 权重 5",
|
||||
"UniPC lower order final": "在 UniPC 采样最后步骤中使用低阶解算器 (推荐小于15个推理步骤时开启,可以稳定解算器的采样)",
|
||||
"UniPC order (must be < sampling steps)": "UniPC 阶数 (推荐有提示词时使用2阶,无提示词使用3阶)",
|
||||
"UniPC skip type": "UniPC 采样跳过类型 (t_uniform适合512及更高分辨率;logSNR适合低分辨率,否则会出现不合理的细节;t_quadratic略好于logSNR)",
|
||||
"UniPC variant": "UniPC 变体 (bh1适合在无提示词且步数小于10情况下使用;vary_coeff同样在10步内效果最好;其余情况全部使用bh2)",
|
||||
"URL": "网址",
|
||||
"URL for extension's git repository": "扩展的 git 仓库网址",
|
||||
"Unlink seed from prompt": "将随机种子与提示词解绑",
|
||||
|
|
@ -1270,6 +1284,7 @@
|
|||
"Use Concepts List": "使用概念列表",
|
||||
"Use Lora in uc diffusion model": "在扩散模型降噪过程中对反向提示词也开启 LoRA(不建议开启)",
|
||||
"Use Lora in uc text model encoder": "在文字模型编码过程中对反向提示词也开启 LoRA(不建议开启)",
|
||||
"Use lossless compression for webp images": "对 webp 图像使用无损压缩",
|
||||
"Use an empty output directory to save pictures normally instead of writing to the output directory.": "输出图像到一个空目录,而非设置里指定的输出目录",
|
||||
"Use cross attention optimizations while training": "训练时开启 cross attention 优化",
|
||||
"Use deepbooru for caption": "使用 deepbooru 生成说明文字(tags)",
|
||||
|
|
|
|||
Loading…
Reference in New Issue