From 29c43935fb110d2a329b31ec9bc7bbe344e7a8e2 Mon Sep 17 00:00:00 2001 From: dtlnor Date: Thu, 3 Nov 2022 11:17:44 +0900 Subject: [PATCH] unify translation style --- localizations/zh_CN.json | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/localizations/zh_CN.json b/localizations/zh_CN.json index 04e63c79..7f8f4ba3 100644 --- a/localizations/zh_CN.json +++ b/localizations/zh_CN.json @@ -37,8 +37,8 @@ "Image": "图像", "Check progress": "查看进度", "Check progress (first)": "(首次)查看进度", - "Sampling Steps": "采样迭代步数", - "Sampling method": "采样方法", + "Sampling Steps": "采样迭代步数 (Steps)", + "Sampling method": "采样方法 (Sampler)", "Euler a": "Euler a", "Euler": "Euler", "LMS": "LMS", @@ -101,8 +101,8 @@ "Prompt order": "提示词顺序", "Sampler": "采样器", "Checkpoint name": "模型(ckpt)名", - "Hypernet str.": "Hypernetwork 强度", "Hypernetwork": "超网络(Hypernetwork)", + "Hypernet str.": "超网络(Hypernetwork) 强度", "Sigma Churn": "Sigma Churn", "Sigma min": "最小 Sigma", "Sigma max": "最大 Sigma", @@ -260,10 +260,10 @@ "threshold": "阈值", "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "选择初始化层权重的方案. 类relu - Kaiming, 类sigmoid - Xavier 都是比较推荐的选项", "Normal": "正态", - "KaimingUniform": "Kaiming均匀", - "KaimingNormal": "Kaiming正态", - "XavierUniform": "Xavier均匀", - "XavierNormal": "Xavier正态", + "KaimingUniform": "Kaiming 均匀", + "KaimingNormal": "Kaiming 正态", + "XavierUniform": "Xavier 均匀", + "XavierNormal": "Xavier 正态", "Add layer normalization": "添加层标准化", "Use dropout": "采用 dropout 防止过拟合", "Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork", @@ -395,7 +395,7 @@ "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器 批量生成与生成单个图像时，产出相同的图像", "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填补来提高一致性", "Filter NSFW content": "过滤成人内容(NSFW)", - "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下", + "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下 (Clip skip)", "Interrogate Options": "反推提示词选项", "Interrogate: keep models in VRAM": "反推: 将模型保存在显存(VRAM)中", "Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的艺术家", @@ -416,7 +416,7 @@ "Do not show any images in results for web": "不在网页的结果中显示任何图像", "Add model hash to generation information": "将模型的哈希值添加到生成信息", "Add model name to generation information": "将模型名称添加到生成信息", - "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "从文本读取生成参数到 UI（从 PNG 图片信息或粘贴文本）时，不要更改选定的模型(ckpt)", + "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "从文本读取生成参数到用户界面（从 PNG 图片信息或粘贴文本）时，不要更改选定的模型(ckpt)", "Send seed when sending prompt or image to other interface": "将提示词或者图片发送到 >> 其他界面时，把随机种子也传送过去", "Font for image grids that have text": "有文字的宫格图使用的字体", "Enable full page image viewer": "启用整页图像查看器", @@ -434,7 +434,7 @@ "sigma churn": "sigma churn", "sigma tmin": "最小(tmin) sigma", "sigma noise": "sigma 噪声", - "Eta noise seed delta": "Eta 噪声种子偏移(noise seed delta)", + "Eta noise seed delta": "Eta 噪声种子偏移(ENSD - Eta noise seed delta)", "Images Browser": "图库浏览器", "Preload images at startup": "在启动时预加载图像", "Number of columns on the page": "每页列数", @@ -444,7 +444,7 @@ "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", "Download localization template": "下载本地化模板", - "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体（无 ui 更新，无重启）", + "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）", "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）", "Installed": "已安装", "Available": "可用", @@ -557,7 +557,7 @@ "Start drawing": "开始绘制", "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", "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)": "用竖线分隔符(|)将提示词分成若干部分，脚本将为它们的每一个组合创建一幅图片（除了被分割的第一部分，所有的组合都会包含这部分）", - "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "选择哪些Real-ESRGAN模型显示在用户界面。(需要重新启动)", + "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)", "Face restoration model": "面部修复模型", "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", "Move to favorites": "移动到收藏夹(保存)",