Merge pull request #4 from dtlnor/add-updated-content-3
Add updated content 3
This commit is contained in:
batvbs
GitHub
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6f830f9346
1 changed files with 60 additions and 39 deletions
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@ -19,6 +19,7 @@
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"Create aesthetic embedding": "生成美术风格",
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"Image Browser": "图库浏览器",
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"Settings": "设置",
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"Extensions": "扩展",
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"Prompt": "提示词",
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"Negative prompt": "反向提示词",
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"Run": "运行",
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@ -36,8 +37,8 @@
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"Image": "图像",
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"Check progress": "查看进度",
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"Check progress (first)": "(首次)查看进度",
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"Sampling Steps": "采样迭代步数",
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"Sampling method": "采样方法",
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"Sampling Steps": "采样迭代步数 (Steps)",
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"Sampling method": "采样方法 (Sampler)",
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"Euler a": "Euler a",
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"Euler": "Euler",
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"LMS": "LMS",
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@ -89,6 +90,7 @@
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"Output directory": "输出目录",
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"Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
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"Iterate seed every line": "每行输入都换一个种子",
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"Use same random seed for all lines": "每行输入都使用同一个随机种子",
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"List of prompt inputs": "提示词输入列表",
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"Upload prompt inputs": "上传提示词输入文件",
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"X type": "X轴类型",
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@ -100,7 +102,8 @@
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"Prompt order": "提示词顺序",
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"Sampler": "采样器",
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"Checkpoint name": "模型(ckpt)名",
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"Hypernet str.": "Hypernetwork 强度",
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"Hypernetwork": "超网络(Hypernetwork)",
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"Hypernet str.": "超网络(Hypernetwork) 强度",
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"Sigma Churn": "Sigma Churn",
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"Sigma min": "最小 Sigma",
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"Sigma max": "最大 Sigma",
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@ -108,7 +111,7 @@
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"Eta": "Eta",
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"Clip skip": "Clip 跳过",
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"Denoising": "去噪",
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"Cond. Image Mask Weight": "自适应图像蒙版强度",
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"Cond. Image Mask Weight": "图像调节屏蔽度",
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"X values": "X轴数值",
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"Y type": "Y轴类型",
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"Y values": "Y轴数值",
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@ -143,8 +146,8 @@
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"latent nothing": "潜空间数值零",
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"Inpaint at full resolution": "全分辨率局部重绘",
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"Inpaint at full resolution padding, pixels": "填补像素",
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"Process images in a directory on the same machine where the server is running.": "使用服务器主机上的一个目录，作为输入目录处理图像。",
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"Use an empty output directory to save pictures normally instead of writing to the output directory.": "使用一个空的文件夹作为输出目录，而不是使用默认的 output 文件夹作为输出目录。",
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"Process images in a directory on the same machine where the server is running.": "使用服务器主机上的一个目录，作为输入目录处理图像",
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"Use an empty output directory to save pictures normally instead of writing to the output directory.": "使用一个空的文件夹作为输出目录，而不是使用默认的 output 文件夹作为输出目录",
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"Input directory": "输入目录",
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"Resize mode": "缩放模式",
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"Just resize": "拉伸",
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@ -258,10 +261,10 @@
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"threshold": "阈值",
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"Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "选择初始化层权重的方案. 类relu - Kaiming, 类sigmoid - Xavier 都是比较推荐的选项",
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"Normal": "正态",
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"KaimingUniform": "Kaiming均匀",
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"KaimingNormal": "Kaiming正态",
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"XavierUniform": "Xavier均匀",
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"XavierNormal": "Xavier正态",
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"KaimingUniform": "Kaiming 均匀",
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"KaimingNormal": "Kaiming 正态",
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"XavierUniform": "Xavier 均匀",
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"XavierNormal": "Xavier 正态",
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"Add layer normalization": "添加层标准化",
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"Use dropout": "采用 dropout 防止过拟合",
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"Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
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@ -303,10 +306,6 @@
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"Create images embedding": "生成图集 embedding",
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"Favorites": "收藏夹(已保存)",
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"Others": "其他",
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"Move to favorites": "移动到收藏夹(保存)",
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"favorites": "收藏夹(已保存)",
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"others": "其他",
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"Collect": "收藏(保存)",
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"Images directory": "图像目录",
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"Dropdown": "下拉列表",
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"First Page": "首页",
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@ -322,6 +321,7 @@
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"keyword": "搜索",
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"Generate Info": "生成信息",
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"File Name": "文件名",
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"Move to favorites": "移动到收藏夹(保存)",
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"Renew Page": "刷新页面",
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"Number": "数量",
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"set_index": "设置索引",
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@ -343,6 +343,8 @@
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"Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息，作为块保存到 png 图片文件中",
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"Create a text file next to every image with generation parameters.": "保存图像时，在每个图像旁边创建一个文本文件储存生成参数",
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"Save a copy of image before doing face restoration.": "在进行面部修复之前保存图像副本",
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"Save a copy of image before applying highres fix.": "在做高分辨率修复之前保存初始图像副本",
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"Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
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"Quality for saved jpeg images": "保存的 jpeg 图像的质量",
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"If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 图像大于 4MB 或宽高大于 4000，则缩小并保存副本为 JPG 图片",
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"Use original name for output filename during batch process in extras tab": "在更多选项卡中的批量处理过程中，使用原始名称作为输出文件名",
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@ -379,17 +381,19 @@
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"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)",
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"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",
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"Training": "训练",
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"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)",
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"Move VAE and CLIP to RAM when training if possible. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)如果可行的话，节省显存(VRAM)",
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"Filename word regex": "文件名用词的正则表达式",
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"Filename join string": "文件名连接用字符串",
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"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",
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"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 表格到日志目录，0 表示禁用",
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"Use cross attention optimizations while training": "训练时开启 cross attention 优化",
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"Stable Diffusion": "Stable Diffusion",
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"Checkpoints to cache in RAM": "缓存在内存(RAM)中的模型(ckpt)",
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"SD VAE": "模型的 VAE (SD VAE)",
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"auto": "自动",
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"Hypernetwork strength": "Hypernetwork 强度",
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"Inpainting conditioning mask strength": "局部重绘的自适应蒙版强度",
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"Inpainting conditioning mask strength": "局部重绘时图像调节的蒙版屏蔽强度",
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"Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色",
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"Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
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"With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情况下更弱的重绘幅度需要更少的迭代步数）",
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"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随机种子。需要重新启动才能应用",
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"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",
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@ -397,7 +401,7 @@
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"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",
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"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",
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"Filter NSFW content": "过滤成人内容(NSFW)",
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"Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下",
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"Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下 (Clip skip)",
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"Interrogate Options": "反推提示词选项",
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"Interrogate: keep models in VRAM": "反推: 将模型保存在显存(VRAM)中",
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"Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的艺术家",
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@ -418,7 +422,7 @@
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"Do not show any images in results for web": "不在网页的结果中显示任何图像",
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"Add model hash to generation information": "将模型的哈希值添加到生成信息",
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"Add model name to generation information": "将模型名称添加到生成信息",
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"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)",
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"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)",
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"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",
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"Font for image grids that have text": "有文字的宫格图使用的字体",
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"Enable full page image viewer": "启用整页图像查看器",
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@ -436,7 +440,7 @@
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"sigma churn": "sigma churn",
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"sigma tmin": "最小(tmin) sigma",
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"sigma noise": "sigma 噪声",
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"Eta noise seed delta": "Eta 噪声种子偏移(noise seed delta)",
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"Eta noise seed delta": "Eta 噪声种子偏移(ENSD - Eta noise seed delta)",
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"Images Browser": "图库浏览器",
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"Preload images at startup": "在启动时预加载图像",
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"Number of columns on the page": "每页列数",
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@ -446,8 +450,22 @@
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"Use same seed for all images": "为所有图像使用同一个随机种子",
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"Request browser notifications": "请求浏览器通知",
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"Download localization template": "下载本地化模板",
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"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）",
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"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）",
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"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）",
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"Installed": "已安装",
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"Available": "可用",
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"Install from URL": "从网址安装",
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"Apply and restart UI": "应用并重启用户界面",
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"Check for updates": "检查更新",
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"Extension": "扩展",
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"URL": "网址",
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"Update": "更新",
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"unknown": "未知",
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"Load from:": "加载自",
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"Extension index URL": "扩展列表链接",
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"URL for extension's git repository": "扩展的 git 仓库链接",
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"Local directory name": "本地路径名",
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"Install": "安装",
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"Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）\nPrompt",
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"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词（按 Ctrl+Enter 或 Alt+Enter 生成）\nNegative prompt",
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"Add a random artist to the prompt.": "随机添加一个艺术家到提示词中",
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@ -484,7 +502,7 @@
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"keep whatever was there originally": "保留原来的图像，不进行预处理",
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"fill it with latent space noise": "用潜空间的噪声填充它",
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"fill it with latent space zeroes": "用潜空间的零填充它",
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"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做局部重绘，缩小后粘贴到原始图像中。\n请注意，填补像素 仅对 全分辨率局部重绘 生效。",
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"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做局部重绘，缩小后粘贴到原始图像中。\n请注意，填补像素 仅对 全分辨率局部重绘 生效",
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"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比",
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"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
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"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
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@ -505,10 +523,10 @@
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"Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络修复低质量面部",
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"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",
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"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",
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"Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "仅适用于局部重绘专用的模型。 决定了蒙版在局部重绘以及图生图中屏蔽原图内容的强度。 1.0 表示完全屏蔽，这是默认行为。 0.0 表示完全不屏蔽。 较低的值将有助于保持图像的整体构图，但很难遇到较大的变化。",
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"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",
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"Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "仅适用于局部重绘专用的模型（模型后缀为 inpainting.ckpt 的模型）。决定了蒙版在局部重绘以及图生图中屏蔽原图内容的强度。 1.0 表示完全屏蔽原图，这是默认行为。0.0 表示完全不屏蔽让原图进行图像调节。较低的值将有助于保持原图的整体构图，但很难遇到较大的变化",
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"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.": "设置项名称的列表，以逗号分隔，该设置会移动到顶部的快速访问栏，而不是默认的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
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"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",
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"Leave empty for auto": "留空时自动生成",
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"Autocomplete options": "自动补全选项",
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"Enable Autocomplete": "开启Tag补全",
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"Append commas": "附加逗号",
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@ -546,25 +564,28 @@
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"Start drawing": "开始绘制",
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"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",
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"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）",
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"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)",
|
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"Face restoration model": "面部修复模型",
|
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"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",
|
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"Hypernetwork": "超网络(Hypernetwork)",
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"favorites": "收藏夹(已保存)",
|
||||
"others": "其他",
|
||||
"Collect": "收藏(保存)",
|
||||
"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)",
|
||||
"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "迭代改进生成的图像多少次；更高的值需要更长的时间；非常低的值会产生不好的结果",
|
||||
"Draw a mask over an image, and the script will regenerate the masked area with content according to prompt": "在图像上画一个蒙版，脚本会根据提示重新生成蒙版区域的内容",
|
||||
"Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back": "正常提升图像，将结果分割成瓦片，用img2img改进每个瓦片，将整个图像合并回来",
|
||||
"Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back": "正常放大图像，将结果分割成图块（tiles），用图生图改进每个图块（tiles），最后将整个图像合并回来",
|
||||
"Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "创建一个网格，图像将有不同的参数。使用下面的输入来指定哪些参数将由列和行共享",
|
||||
"Run Python code. Advanced user only. Must run program with --allow-code for this to work": "运行Python代码。仅限高级用户。必须用 --allow-code 来运行程序，这样才能工作。",
|
||||
"Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "用逗号隔开一个单词列表，第一个单词将被用作关键词：脚本将在提示中搜索这个单词，并用其他单词替换它。",
|
||||
"Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order": "用逗号分开一个单词列表，脚本将用这些单词的每一个可能的顺序制作一个变体的提示。",
|
||||
"Reconstruct prompt from existing image and put it into the prompt field.": "从现有的图像中重构提示，并将其放入提示字段。",
|
||||
"Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle": "在[prompt_words]选项中设置要使用的最大字数；注意：如果字数太长，可能会超过系统可处理的文件路径的最大长度",
|
||||
"Process an image, use it as an input, repeat.": "处理一张图片，将其作为输入，重复。",
|
||||
"Insert selected styles into prompt fields": "在提示字段中插入选定的样式",
|
||||
"Save current prompts as a style. If you add the token {prompt} to the text, the style use that as placeholder for your prompt when you use the style in the future.": "将当前的提示语保存为样式。如果你在文本中添加标记{prompt}，当你将来使用该样式时，该样式会将其作为你的提示的占位符。",
|
||||
"Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.": "在制作图像之前从检查点加载权重。你可以使用哈希值或文件名的一部分（如设置中所示）作为检查点名称。建议与Y轴一起使用以减少切换。",
|
||||
"Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).": "Torch active: 在生成过程中，Torch使用的显存(VRAM)峰值，不包括缓存的数据。\nTorch reserved: Torch分配的显存(VRAM)的峰值量，包括所有活动和缓存数据。\nSys VRAM: 所有应用程序的显存(VRAM)分配的峰值量 / GPU的总显存(VRAM)（峰值利用率%）。",
|
||||
"Uscale the image in latent space. Alternative is to produce the full image from latent representation, upscale that, and then move it back to latent space.": "缩放潜在空间中的图像。另一种方法是，从潜在表示中产生完整的图像，提高其比例，然后再将其移回潜在空间。",
|
||||
"Run Python code. Advanced user only. Must run program with --allow-code for this to work": "运行 Python 代码。仅限老手使用。必须以 --allow-code 来开启程序，才能使其运行",
|
||||
"Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "以逗号分割的单词列表，第一个单词将被用作关键词：脚本将在提示词中搜索这个单词，并用其他单词替换它",
|
||||
"Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order": "以逗号分割的单词列表，脚本会排列出这些单词的所有排列方式，并加入提示词各生成一次",
|
||||
"Reconstruct prompt from existing image and put it into the prompt field.": "从现有的图像中重构出提示词，并将其放入提示词的输入文本框",
|
||||
"Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle": "设置在[prompt_words]选项中要使用的最大字数；注意：如果字数太长，可能会超过系统可处理的文件路径的最大长度",
|
||||
"Process an image, use it as an input, repeat.": "处理一张图像，将其作为输入，并重复",
|
||||
"Insert selected styles into prompt fields": "在提示词中插入选定的模版风格",
|
||||
"Save current prompts as a style. If you add the token {prompt} to the text, the style use that as placeholder for your prompt when you use the style in the future.": "将当前的提示词保存为模版风格。如果你在文本中添加{prompt}标记，那么将来你使用该模版风格时，你现有的提示词会替换模版风格中的{prompt}",
|
||||
"Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.": "在生成图像之前从模型(ckpt)中加载权重。你可以使用哈希值或文件名的一部分（如设置中所示）作为模型(ckpt)名称。建议用在Y轴上以减少过程中模型的切换",
|
||||
"Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).": "Torch active: 在生成过程中，Torch使用的显存(VRAM)峰值，不包括缓存的数据。\nTorch reserved: Torch 分配的显存(VRAM)的峰值量，包括所有活动和缓存数据。\nSys VRAM: 所有应用程序分配的显存(VRAM)的峰值量 / GPU 的总显存(VRAM)（峰值利用率%）",
|
||||
"Uscale the image in latent space. Alternative is to produce the full image from latent representation, upscale that, and then move it back to latent space.": "放大潜空间中的图像。而另一种方法是，从潜变量表达中直接解码并生成完整的图像，接着放大它，然后再将其编码回潜空间",
|
||||
|
||||
"----": "----"
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue