更新 zh_CN.json

localizations/zh_CN.json

@@ -304,6 +304,10 @@
     "Create images embedding": "生成图集 embedding",
     "Favorites": "收藏夹(已保存)",
     "Others": "其他",
+    "Move to favorites": "移动到收藏夹(保存)",
+    "favorites": "收藏夹(已保存)",
+    "others": "其他",
+    "Collect": "收藏(保存)",
     "Images directory": "图像目录",
     "Dropdown": "下拉列表",
     "First Page": "首页",
@@ -319,7 +323,6 @@
     "keyword": "搜索",
     "Generate Info": "生成信息",
     "File Name": "文件名",
-    "Move to favorites": "移动到收藏夹(保存)",
     "Renew Page": "刷新页面",
     "Number": "数量",
     "set_index": "设置索引",
@@ -539,6 +542,7 @@
     "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",
+    "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)",