将无法本地化的内容移到底部

localizations/zh_CN.json

@@ -100,7 +100,6 @@
     "Prompt order": "提示词顺序",
     "Sampler": "采样器",
     "Checkpoint name": "模型(ckpt)名",
-    "Hypernetwork": "Hypernetwork",
     "Hypernet str.": "Hypernetwork 强度",
     "Sigma Churn": "Sigma Churn",
     "Sigma min": "最小 Sigma",
@@ -198,7 +197,7 @@
     "Scale to": "指定尺寸缩放",
     "Resize": "缩放",
     "Crop to fit": "裁剪以适应",
-    "Upscaler 2 visibility": "放大算法 2 可见度",
+    "Upscaler 2 visibility": "放大算法 2 (Upscaler 2) 可见度",
     "GFPGAN visibility": "GFPGAN 可见度",
     "CodeFormer visibility": "CodeFormer 可见度",
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
@@ -510,7 +509,6 @@
     "Autocomplete options": "自动补全选项",
     "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",
     "Roll three": "抽三位出来",
     "Generate forever": "无限生成",
     "Cancel generate forever": "停止无限生成",
@@ -519,6 +517,7 @@
     "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",
+    "Upscaler": "放大算法",
     "Upscaler 1": "放大算法 1",
     "Upscaler 2": "放大算法 2",
     "Open output directory": "打开输出目录",
@@ -540,5 +539,10 @@
     "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"
+    "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)": "用垂直的管道字符 | 将提示语分成若干部分，脚本将为它们的每一个组合创建一幅图片（除了第一部分，所有的组合都会出现）",
+    "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)",
+    "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",
+    "Hypernetwork": "超网络(Hypernetwork)"
 }