"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",
"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",
