Update zh-hans.json
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1 changed files with 47 additions and 28 deletions
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@ -8,15 +8,17 @@
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"view": "查看",
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"api": "api",
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"•": "•",
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"built with gradio": "基于 Gradio 库编译",
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"built with gradio": "基于 Gradio 构建",
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"Stable Diffusion checkpoint": "Stable Diffusion 模型(ckpt)",
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"txt2img": "文转图",
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"img2img": "图转图",
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"Extras": "后处理",
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"PNG Info": "PNG 信息",
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"Image Browser": "图库浏览器",
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"History": "历史记录",
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"Checkpoint Merger": "模型(ckpt)合并工具",
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"Train": "训练",
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"Create aesthetic embedding": "生成美术风格 embedding",
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"Settings": "设置",
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"Prompt": "提示词",
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"Negative prompt": "否定提示词",
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@ -67,15 +69,15 @@
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"Variation strength": "差异强度",
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"Resize seed from width": "自宽度缩放种子",
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"Resize seed from height": "自高度缩放种子",
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"Open for Clip Aesthetic!": "打开美学Clip!",
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"Open for Clip Aesthetic!": "打开美术风格 Clip!",
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"▼": "▼",
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"Aesthetic weight": "美学权重",
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"Aesthetic steps": "美学迭代步数",
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"Aesthetic learning rate": "美学学习率",
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"Aesthetic weight": "美术风格权重",
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"Aesthetic steps": "美术风格迭代步数",
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"Aesthetic learning rate": "美术风格学习率",
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"Slerp interpolation": "Slerp 插值",
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"Aesthetic imgs embedding": "美学图片 embedding",
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"Aesthetic imgs embedding": "美术风格图像 embedding",
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"None": "无",
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"Aesthetic text for imgs": "描述图片的美学文字",
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"Aesthetic text for imgs": "描述图像的美术风格文字",
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"Slerp angle": "Slerp 角度",
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"Is negative text": "是否定类文字",
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"Script": "脚本",
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@ -134,8 +136,8 @@
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"Masked content": "蒙版蒙住的内容",
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"fill": "填空",
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"original": "原图",
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"latent noise": "latent noise",
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"latent nothing": "latent nothing",
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"latent noise": "潜空间噪声",
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"latent nothing": "潜空间数值零",
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"Inpaint at full resolution": "以完整分辨率进行内补绘制",
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"Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填空像素",
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"Process images in a directory on the same machine where the server is running.": "在服务器主机上的目录中处理图像",
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@ -151,7 +153,7 @@
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"Loopback": "回送",
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"Outpainting mk2": "外补绘制第二版",
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"Poor man's outpainting": "Poor man 的外补绘制",
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"SD upscale": "SD 超采样",
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"SD upscale": "使用 SD 放大(SD upscale)",
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"should be 2 or lower.": "必须小于等于2",
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"Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为这样做设计的)",
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"Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `原始提示词`?(包括`否定提示词`)",
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@ -167,7 +169,7 @@
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"Denoising strength change factor": "降噪强度的调整因数",
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"Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置:采样迭代步数:80-100,采样器:Euler a,降噪强度:0.8",
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"Pixels to expand": "拓展的像素",
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"Outpainting direction": "外填充的方向",
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"Outpainting direction": "外补绘制的方向",
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"left": "左",
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"right": "右",
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"up": "上",
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@ -205,6 +207,12 @@
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"img2img history": "图转图历史记录",
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"extras history": "后处理历史记录",
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"Renew Page": "刷新页面",
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"extras": "后处理",
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"favorites": "我的收藏",
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"Load": "载入",
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"Images directory": "图像路径",
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"Prev batch": "上一批",
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"Next batch": "下一批",
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"First Page": "第一页",
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"Prev Page": "上一页",
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"Page Index": "页数",
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@ -214,7 +222,12 @@
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"Delete": "删除",
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"Generate Info": "生成信息",
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"File Name": "文件名",
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"Collect": "收藏",
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"Refresh page": "刷新页面",
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"Date to": "日期至",
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"Number": "数量",
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"set_index": "设置索引",
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"Checkbox": "勾选框",
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"A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的",
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"checkpoint": "模型(ckpt)",
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"directory.": "目录",
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@ -229,21 +242,20 @@
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"Save as float16": "以 float16 储存",
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"See": "查看",
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"wiki": "wiki",
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"for detailed explanation.": "想看详细解释的话",
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"for detailed explanation.": "以了解详细说明",
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"Create embedding": "生成 embedding",
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"Create aesthetic images embedding": "生成美学图片 embedding",
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"Create aesthetic images embedding": "生成美术风格图像 embedding",
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"Create hypernetwork": "生成 hypernetwork",
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"Preprocess images": "图像预处理",
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"Name": "名称",
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"Initialization text": "初始化文字",
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"Number of vectors per token": "每个令牌(token)的向量数",
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"Number of vectors per token": "每个 token 的向量数",
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"Overwrite Old Embedding": "覆写旧的 Embedding",
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"Source directory": "源目录",
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"Create images embedding": "生成 embedding 图片",
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"Modules": "模组",
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"Modules": "模块",
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"Enter hypernetwork layer structure": "输入 hypernetwork 层结构",
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"Add layer normalization": "添加层标准化",
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"Overwrite Old Hypernetwork": "Overwrite Old Hypernetwork",
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"Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
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"Select activation function of hypernetwork": "选择 hypernetwork 的激活函数",
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"linear": "linear",
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"relu": "relu",
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@ -275,10 +287,12 @@
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"Max steps": "最大迭代步数",
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"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",
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"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",
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"Save images with embedding in PNG chunks": "保存图像並在 PNG 文件中嵌入 embedding 文件",
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"Save images with embedding in PNG chunks": "保存图像并在 PNG 文件中嵌入 embedding 文件",
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"Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时从文转图选项卡中读取参数(提示词等)",
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"Train Hypernetwork": "训练 Hypernetwork",
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"Train Embedding": "训练 Embedding",
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"Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
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"Create images embedding": "生成 embedding 图像",
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"Apply settings": "保存设置",
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"Saving images/grids": "保存图像/概览图",
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"Always save all generated images": "始终保存所有生成的图像",
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"Tile overlap, in pixels for SwinIR. Low values = visible seam.": "密铺重叠,以 SwinIR 的像素为单位。 低值 = 可见接缝",
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"LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。 更低 = 更快",
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"Upscaler for img2img": "图转图的放大器",
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"Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大 latent 空间图像",
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"Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
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"Face restoration": "面部修复",
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"CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数; 0 = 最大效果; 1 = 最小效果",
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"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)",
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@ -345,7 +359,7 @@
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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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"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",
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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 个令牌(token)时,通过从 n 个令牌(token)中的最后一个逗号填空来提高一致性",
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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空来提高一致性",
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"Filter NSFW content": "过滤成人内容",
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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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"Interrogate Options": "逆向生成提示词选项",
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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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"Images Browser": "图库浏览器",
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"Preload images at startup": "在启动时预载图像",
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"Number of pictures displayed on each page": "每页显示的图像数量",
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"Minimum number of pages per load": "每次加载的最小页数",
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"Number of grids in each row": "每行显示多少格",
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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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"Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格; 模版风格包含正面和负面提示词,并应用于两者",
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"Do not do anything special": "并没有做什么特别的事情",
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"Which algorithm to use to produce the image": "使用哪种算法生成图像",
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"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片,将迭代步数设置为高于 30-40 不会有正面作用",
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"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",
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"Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
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"Produce an image that can be tiled.": "生成可以密铺的图像",
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"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",
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"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",
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"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",
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"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",
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"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片(ancestral 采样器除外,你只是生成了一些东西)",
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"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片相似的图片",
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"This text is used to rotate the feature space of the imgs embs": "此文本用于旋转imgs embs的特征空间",
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"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)",
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"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",
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"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",
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"Separate values for X axis using commas.": "使用逗号分隔 X 轴的值",
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"Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值",
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"Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录(默认 - log/images)并将生成参数写入 csv 文件",
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"What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么",
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"fill it with colors of the image": "用图像的颜色填充它",
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"keep whatever was there originally": "保留原来的东西",
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"fill it with latent space noise": "用 latent 空间的噪声填充它",
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"fill it with latent space zeroes": "用 latent 空间的零填充它",
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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,做内补绘制,缩小后粘贴到原始图像中",
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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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"How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
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"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片上。 >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",
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"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片时,没有清晰可见的接缝",
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"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",
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"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",
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"A directory on the same machine where the server is running.": "与服务器主机上的目录",
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"Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
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"Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
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