ci(update): synchronize from translation platform
wfjsw
parent
16414c7da8
commit
e44dd6157a
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@ -1778,6 +1778,7 @@
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"Enable perspective flip": "启用透视翻转",
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"Enable pixelization": "启用像素化",
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"Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作",
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"Enable profiling": "启用性能分析器",
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"Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。",
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@ -2484,6 +2485,7 @@
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"Include embeddings in normal tag results": "在普通标签结果中包含嵌入式模型 (embeddings)",
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"Include images in sub directories": "显示子目录中的图片",
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"Include metadata in saved images": "在保存的图片中嵌入元数据",
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"Include python stack": "包含 Python 堆栈",
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"Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级",
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"Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)",
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"Include watermark in saved images": "在保存的图片中嵌入水印",
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@ -3235,7 +3237,7 @@
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"Mov2Mov output path for video": "Mov2Mov 视频输出路径",
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"Move": "移动",
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"Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)",
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"Move File(s)": "移动文件",
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"Move Mode (X key)": "移动模式(X 键)",
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"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存，可节省显存",
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@ -3806,6 +3808,8 @@
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"Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像",
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"Process type": "处理类型",
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"Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像",
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"Profile memory": "分析内存用量",
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"Profiler": "性能分析器",
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"Progressbar and preview update period": "进度条/预览图更新周期",
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"Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)",
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"Project": "项目",
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@ -1778,6 +1778,7 @@
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"Enable perspective flip": "启用透视翻转",
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"Enable pixelization": "启用像素化",
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"Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作",
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"Enable profiling": "启用性能分析器",
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"Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。",
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@ -2484,6 +2485,7 @@
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"Include embeddings in normal tag results": "在普通标签结果中包含嵌入式模型 (embeddings)",
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"Include images in sub directories": "显示子目录中的图片",
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"Include metadata in saved images": "在保存的图片中嵌入元数据",
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"Include python stack": "包含 Python 堆栈",
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"Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级",
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"Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)",
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"Include watermark in saved images": "在保存的图片中嵌入水印",
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@ -3235,7 +3237,7 @@
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"Mov2Mov output path for video": "Mov2Mov 视频输出路径",
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"Move": "移动",
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"Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)",
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"Move File(s)": "移动文件",
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"Move Mode (X key)": "移动模式(X 键)",
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"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存，可节省显存",
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@ -3806,6 +3808,8 @@
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"Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像",
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"Process type": "处理类型",
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"Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像",
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"Profile memory": "分析内存用量",
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"Profiler": "性能分析器",
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"Progressbar and preview update period": "进度条/预览图更新周期",
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"Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)",
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"Project": "项目",
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@ -2028,6 +2028,7 @@
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"Enable perspective flip": "启用透视翻转",
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"Enable pixelization": "启用像素化",
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"Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作",
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"Enable profiling": "启用性能分析器",
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"Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。",
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@ -2825,6 +2826,7 @@
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"Include images in sub directories": "显示子目录中的图片",
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"Include meta tags in tag string": "在标签字串中包含属性标签",
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"Include metadata in saved images": "在保存的图片中嵌入元数据",
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"Include python stack": "包含 Python 堆栈",
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"Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级",
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"Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)",
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"Include sub images": "包含子图像",
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@ -3635,7 +3637,7 @@
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"Mov2Mov output path for video": "Mov2Mov 视频输出路径",
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"Move": "移动",
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"Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)",
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"Move File(s)": "移动文件",
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"Move Mode (X key)": "移动模式(X 键)",
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"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存，可节省显存",
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@ -4268,6 +4270,8 @@
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"Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像",
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"Process type": "处理类型",
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"Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像",
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"Profile memory": "分析内存用量",
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"Profiler": "性能分析器",
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"Progressbar and preview update period": "进度条/预览图更新周期",
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"Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)",
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"Project": "项目",
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@ -2028,6 +2028,7 @@
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"Enable perspective flip": "启用透视翻转",
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"Enable pixelization": "启用像素化",
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"Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作",
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"Enable profiling": "启用性能分析器",
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"Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子",
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"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。",
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@ -2825,6 +2826,7 @@
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"Include images in sub directories": "显示子目录中的图片",
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"Include meta tags in tag string": "在标签字串中包含属性标签",
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"Include metadata in saved images": "在保存的图片中嵌入元数据",
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"Include python stack": "包含 Python 堆栈",
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"Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级",
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"Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)",
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"Include sub images": "包含子图像",
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@ -3635,7 +3637,7 @@
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"Mov2Mov output path for video": "Mov2Mov 视频输出路径",
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"Move": "移动",
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"Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)",
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"Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)",
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"Move File(s)": "移动文件",
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"Move Mode (X key)": "移动模式(X 键)",
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"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存，可节省显存",
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@ -4268,6 +4270,8 @@
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"Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像",
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"Process type": "处理类型",
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"Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像",
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"Profile memory": "分析内存用量",
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"Profiler": "性能分析器",
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"Progressbar and preview update period": "进度条/预览图更新周期",
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"Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)",
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"Project": "项目",
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