"Select activation function of hypernetwork":"选择 hypernetwork 的激活函数",
"linear":"linear",
"relu":"relu",
"leakyrelu":"leakyrelu",
"Destination directory":"目标目录",
"Existing Caption txt Action":"对已有说明文字的 txt 的行为",
"ignore":"无视",
"copy":"复制",
"prepend":"放前面",
"append":"放后面",
"Create flipped copies":"生成镜像副本",
"Split oversized images into two":"将过大的图像分为两份",
"Split oversized images":"分割过大的图像",
"Use BLIP for caption":"使用 BLIP 生成说明文字(自然语言描述)",
"Use deepbooru for caption":"使用 deepbooru 生成说明文字(tags)",
"Split image threshold":"图像分割阈值",
"Split image overlap ratio":"分割图像重叠的比率",
"Preprocess":"预处理",
"Train an embedding; must specify a directory with a set of 1:1 ratio images":"训练 embedding； 必须指定一组具有 1:1 比例图像的目录",
"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images":"训练 embedding 或者 hypernetwork； 必须指定一组具有 1:1 比例图像的目录",
"[wiki]":"[wiki]",
"Embedding":"Embedding",
"Embedding Learning rate":"Embedding 学习率",
"Hypernetwork Learning rate":"Hypernetwork 学习率",
"Learning rate":"学习率",
"Dataset directory":"数据集目录",
"Log directory":"日志目录",
"Prompt template file":"提示词模版文件",
"Max steps":"最大迭代步数",
"Save an image to log directory every N steps, 0 to disable":"每 N 步保存一个图像到日志目录，0 表示禁用",
"Save a copy of embedding to log directory every N steps, 0 to disable":"每 N 步将 embedding 的副本保存到日志目录，0 表示禁用",
"Move face restoration model from VRAM into RAM after processing":"人脸修复处理完成后将人脸修复模型从显存(VRAM)移至内存(RAM)",
"System":"系统",
"VRAM usage polls per second during generation. Set to 0 to disable.":"生成图像时每秒轮询显存(VRAM)使用情况的次数。 设置为 0 以禁用",
"Always print all generation info to standard output":"始终将所有生成信息输出到 standard output (一般为控制台)",
"Add a second progress bar to the console that shows progress for an entire job.":"向控制台添加第二个进度条，显示整个作业的进度",
"Training":"训练",
"Unload VAE and CLIP from VRAM when training":"训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.":"训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
"Filename word regex":"文件名用词的正则表达式",
"Filename join string":"文件名连接用字符",
"Number of repeats for a single input image per epoch; used only for displaying epoch number":"每个 epoch 中单个输入图像的重复次数； 仅用于显示 epoch 数",
"Save an csv containing the loss to log directory every N steps, 0 to disable":"每 N 步保存一个包含 loss 的 csv 到日志目录，0 表示禁用",
"Stable Diffusion":"Stable Diffusion",
"Checkpoints to cache in RAM":"缓存在内存(RAM)中的模型(ckpt)",
"Hypernetwork strength":"Hypernetwork 强度",
"Apply color correction to img2img results to match original colors.":"对图转图结果应用颜色校正以匹配原始颜色",
"Save a copy of image before applying color correction to img2img results":"在对图转图结果应用颜色校正之前保存图像副本",
"With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).":"在进行图转图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.":"在 K 采样器中启用量化以获得更清晰、更清晰的结果。 这可能会改变现有的种子。 需要重新启动才能应用",
"Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention":"强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
"Use old emphasis implementation. Can be useful to reproduce old seeds.":"使用旧的强调符实现。 可用于复现旧种子",
"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空来提高一致性",
"Stop At last layers of CLIP model":"在 CLIP 模型的最后哪一层停下",
"Interrogate Options":"逆向生成提示词选项",
"Interrogate: keep models in VRAM":"逆向生成: 将模型保存在显存(VRAM)中",
"Interrogate: use artists from artists.csv":"逆向生成: 使用 artists.csv 中的艺术家",
"Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).":"逆向生成: 在生成结果中包含与模型标签(tags)相匹配的等级（对基于生成自然语言描述的逆向生成没有影响）",
"Interrogate: num_beams for BLIP":"逆向生成: BLIP 的 num_beams",
"use spaces for tags in deepbooru":"在 deepbooru 中为标签使用空格",
"escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)":"在 deepbooru 中使用转义 (\\) 括号（因此它们用作文字括号而不是强调符号）",
"User interface":"用户界面",
"Show progressbar":"显示进度条",
"Show image creation progress every N sampling steps. Set 0 to disable.":"每 N 个采样迭代步数显示图像生成进度。 设置 0 禁用",
"Show grid in results for web":"在网页的结果中显示概览图",
"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.":"当从文本读取生成参数到 UI（从 PNG 信息或粘贴文本）时，不要更改选定的模型(ckpt)",
"Font for image grids that have text":"有文字的概览图使用的字体",
"Enable full page image viewer":"启用整页图像查看器",
"Show images zoomed in by default in full page image viewer":"在整页图像查看器中默认放大显示图像",
"Show generation progress in window title.":"在窗口标题中显示生成进度",
"Quicksettings list":"快速设置列表",
"Localization (requires restart)":"本地化（需要重新启动）",
"Sampler parameters":"采样器参数",
"Hide samplers in user interface (requires restart)":"在用户界面中隐藏采样器（需要重新启动）",
"eta (noise multiplier) for DDIM":"DDIM 的 eta (噪声倍增器) ",
"eta (noise multiplier) for ancestral samplers":"ancestral 采样器的 eta (噪声倍增器)",
"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help":"Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
"Denoising Diffusion Implicit Models - best at inpainting":"Denoising Diffusion Implicit models - 最擅长内补绘制",
"Produce an image that can be tiled.":"生成可以密铺的图像",
"Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition":"使用两步处理的时候以较小的分辨率生成初步图像、接着上采样，然后在不更改合成的情况下改进其中的细节",
"Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.":"决定算法对图像内容的影响程度。 设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。 值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
"How many batches of images to create":"创建多少批次的图像",
"How many image to create in a single batch":"每批创建多少图像",
"Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results":"Classifier Free Guidance Scale - 图像应在多大程度上服从提示词 - 较低的值会产生更有创意的结果",
"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result":"一个固定随机数生成器输出的值 - 以相同参数和种子生成的图像会得到相同的结果",
"Set seed to -1, which will cause a new random number to be used every time":"将种子设置为-1，则每次都会使用一个新的随机数",
"Reuse seed from last generation, mostly useful if it was randomed":"重用上一次使用的种子，如果它是随机的就有用",
"Seed of a different picture to be mixed into the generation.":"将要参与生成的另一张图的种子",
"How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).":"想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自偏差种子的图像（ancestral 采样器除外，你只是生成了一些东西）",
"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution":"尝试生成与在指定分辨率下使用相同种子生成的图像相似的图片",
"This text is used to rotate the feature space of the imgs embs":"此文本用于旋转图像 embeddings 的特征空间",
"In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.":"在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图像上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
"For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.":"对于 SD 超采样，图块之间应该有多少像素重叠。 图块需要重叠才可以让它们合并回一张图像时，没有清晰可见的接缝",
"A directory on the same machine where the server is running.":"与服务器主机上的目录",
"Leave blank to save images to the default path.":"留空以将图像保存到默认目录",
"Result = A * (1 - M) + B * M":"结果 = A * (1 - M) + B * M",
"Result = A + (B - C) * M":"结果 = A + (B - C) * M",
"1st and last digit must be 1. ex:'1, 2, 1'":"第一个和最后一个数字必须是 1。例:'1, 2, 1'",
"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",
"Path to directory with input images":"带有输入图像的目录",
"Path to directory where to write outputs":"进行输出的目录",
"Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.":"使用以下标签定义如何选择图像的文件名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
"If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.":"如果启用此选项，水印将不会添加到生成出来的图像中。 警告：如果你不添加水印，你的行为可能是不符合专业操守的",
"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.":"使用以下标签定义如何选择图像和概览图的子目录: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
"Restore low quality faces using GFPGAN neural network":"使用 GFPGAN 神经网络恢复低质量人脸",
"This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.":"此正则表达式将用于从文件名中提取单词，并将使用以下选项将它们接合到用于训练的标签文本中。 留空以保持文件名文本不变",
"This string will be used to join split words into a single line if the option above is enabled.":"如果启用了上述选项，则此处的字符会用于将拆分的单词接合为同一行",
"List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.":"设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。 有关设置名称，请参见 modules/shared.py。 需要重新启动才能应用",
"If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.":"如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
"Enable Autocomplete":"开启Tag补全",
"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",
