unify translation style

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",
@@ -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)",