241 lines
12 KiB
JSON
241 lines
12 KiB
JSON
{
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"Dreambooth": "Dreambooth",
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"Load Settings": "載入設定",
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"Save Settings": "儲存設定",
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"Generate Ckpt": "產生 Ckpt",
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"Save Weights": "儲存權重",
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"Generate Samples": "產生樣本",
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"Cancel": "取消",
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"Select or create a model to begin.": "選擇或建立一個模型",
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"Model": "模型",
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"Select": "選擇模型",
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"Create": "建立",
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"Snapshot to Resume": "從 Snapshot 恢復",
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"Lora Model": "LoRA 模型",
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"Loaded Model:": "載入模型：",
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"Model Revision:": "模型修正：",
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"Model Epoch:": "模型訓練週期：",
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"V2 Model:": "V2 模型：",
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"Has EMA:": "有 EMA：",
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"Source Checkpoint:": "來源模型權重存檔點：",
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"Create Model": "建立模型",
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"Name": "名稱",
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"Create From Hub": "從 huggingface 建立",
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"512x Model": "512x 模型",
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"Model Path": "模型路徑",
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"HuggingFace Token": "HuggingFace 標記",
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"Source Checkpoint": "源模型權重存檔點",
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"Extract EMA Weights": "提取 EMA 權重",
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"Unfreeze Model": "解凍模型",
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"Resources": "Resources",
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"Beginners guide": "Beginners guide",
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"Release notes": "發布說明",
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"Input": "輸入",
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"Concepts": "概念",
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"Saving": "儲存",
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"Testing": "測試",
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"Performance Wizard (WIP)": "效能嚮導（半成品）",
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"Basic": "基本設定",
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"General": "一般的",
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"Use LORA": "使用 LoRA",
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"Use Lora Extended": "使用 LoRA 擴充功能（Locon）",
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"Train Imagic Only": "僅意象訓練",
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"Train Inpainting Model": "訓練局部重繪模型",
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"Intervals": "訓練週期 / 間隔",
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"Training Steps Per Image (Epochs)": "每張圖像的訓練步數（訓練週期）",
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"Pause After N Epochs": "N 階段後暫停",
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"Amount of time to pause between Epochs (s)": "每訓練週期之間暫停的時間（秒）",
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"Save Model Frequency (Epochs)": "儲存模型頻率（訓練週期）",
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"Save Preview(s) Frequency (Epochs)": "儲存預覽頻率（訓練週期）",
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"Batching": "批次",
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"Batch Size": "每批數量",
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"Gradient Accumulation Steps": "梯度累積疊代步數",
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"Class Batch Size": "類別每批數量",
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"Set Gradients to None When Zeroing": "將梯度設定為 0 的時候設定為無",
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"Gradient Checkpointing": "梯度進度記錄",
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"Learning Rate": "學習率",
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"Lora UNET Learning Rate": "LoRA UNET 學習率",
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"Lora Text Encoder Learning Rate": "LoRA Text Encoder 學習率",
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"Learning Rate Scheduler": "學習率調度器",
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"linear": "線性（linear）",
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"linear_with_warmup": "linear_with_warmup",
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"cosine": "餘弦（cosine）",
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"cosine_annealing": "cosine_annealing",
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"cosine_annealing_with_restarts": "cosine_annealing_with_restarts",
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"cosine_with_restarts": "含重啟的餘弦（cosine）",
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"polynomial": "多項式（polynomial）",
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"constant": "常數（constant）",
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"constant_with_warmup": "含預熱的常數（constant）",
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"Min Learning Rate": "最小學習率",
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"Number of Hard Resets": "硬重置數量",
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"Constant/Linear Starting Factor": "常數/線性起始因子",
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"Polynomial Power": "多項式功率",
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"Scale Position": "比例位置",
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"Learning Rate Warmup Steps": "學習率預熱步數",
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"Image Processing": "圖像處理",
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"Max Resolution": "最高解析度",
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"Apply Horizontal Flip": "套用水平翻轉",
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"Tuning": "調整",
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"Use EMA": "使用 EMA",
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"Optimizer": "優化器",
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"Torch AdamW": "Torch AdamW",
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"8bit AdamW": "8bit AdamW",
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"Lion": "Lion",
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"Mixed Precision": "混合精度",
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"no": "否",
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"fp16": "fp16",
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"Memory Attention": "記憶體注意力",
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"default": "default",
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"Cache Latents": "快取潛在變數",
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"Train UNET": "訓練 UNET",
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"Step Ratio of Text Encoder Training": "文字編碼器訓練步驟比率",
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"Offset Noise": "噪聲偏移",
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"Freeze CLIP Normalization Layers": "凍結 CLIP 正規化層",
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"Clip Skip": "Clip 跳過層",
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"Weight Decay": "權重衰減",
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"Pad Tokens": "填充標記",
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"Strict Tokens": "嚴格的標記",
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"Shuffle Tags": "洗牌標籤",
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"Max Token Length": "最大標記長度",
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"Prior Loss": "先前的損失",
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"Scale Prior Loss": "縮放先前的損失",
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"Prior Loss Weight": "先前損失權重",
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"Prior Loss Target": "先前損失目標",
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"Minimum Prior Loss Weight": "最小先前損失權重",
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"Advanced": "進階的",
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"Sanity Sample Prompt": "樣本提示詞",
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"Sanity Sample Negative Prompt": "樣本反向提示詞",
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"Sanity Sample Seed": "樣本種子",
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"Miscellaneous": "雜項",
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"Pretrained VAE Name or Path": "預訓練 VAE 名稱或路徑",
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"Use Concepts List": "使用概念列表",
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"Concepts List": "概念列表",
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"API Key": "API 金鑰",
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"Discord Webhook": "Discord Webhook",
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"Save and Test Webhook": "儲存並測試 Webhook",
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"Training Wizard (Person)": "訓練嚮導（人物）",
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"Training Wizard (Object/Style)": "訓練嚮導（物件 / 樣式）",
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"Concept 1": "概念 1",
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"Concept 2": "概念 2",
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"Concept 3": "概念 3",
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"Concept 4": "概念 4",
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"Directories": "目錄",
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"Dataset Directory": "實例圖像數據目錄",
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"Classification Dataset Directory": "類別/正則數據集目錄",
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"Filewords": "風格 / 物品名稱",
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"Instance Token": "實例名稱",
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"Class Token": "類別/正則名稱",
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"Training Prompts": "訓練提示詞",
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"Instance Prompt": "實例提示詞",
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"Class Prompt": "類別/正則提示詞",
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"Classification Image Negative Prompt": "類別(正則) 圖像反向提示詞",
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"Sample Prompts": "樣本提示詞",
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"Sample Image Prompt": "樣本圖像提示詞",
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"Sample Negative Prompt": "樣本反向提示詞",
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"Sample Prompt Template File": "樣本提示詞範本檔案",
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"Class Image Generation": "生成類別(正則) 圖像",
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"Class Images Per Instance Image": "每個實例圖像的類別(正則) 圖片數量",
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"Classification CFG Scale": "類別(正則) CFG比例",
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"Classification Steps": "類別(正則) 步驟",
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"Sample Image Generation": "生成樣本圖像",
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"Number of Samples to Generate": "產生樣本的數量",
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"Sample Seed": "樣本種子",
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"Sample CFG Scale": "樣本CFG比例",
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"Sample Steps": "樣本步數",
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"Custom Model Name": "自定義模型名稱",
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"Save in .safetensors format": "以 .safetensors 格式保存",
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"Save EMA Weights to Generated Models": "將 EMA 權重儲存到產生的模型中",
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"Use EMA Weights for Inference": "使用EMA權重進行推論",
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"Half Model": "半精度模型",
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"Save Checkpoint to Subdirectory": "保存檢查點到子目錄",
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"Generate a .ckpt file when saving during training.": "在訓練期間儲存時產生 .ckpt 文件。",
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"Generate a .ckpt file when training completes.": "在訓練完成時產生 .ckpt 文件。",
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"Generate a .ckpt file when training is canceled.": "在訓練取消時產生 .ckpt 文件。",
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"Lora UNET Rank": "LoRA UNET等級",
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"Lora Text Encoder Rank": "LoRA 文字編碼器等級",
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"Lora Weight": "LoRA 權重",
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"Lora Text Weight": "LoRA 文本權重",
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"Generate lora weights when saving during training.": "在訓練期間儲存時產生 LoRA。",
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"Generate lora weights when training completes.": "在訓練完成時產生 LoRA。",
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"Generate lora weights when training is canceled.": "在訓練取消時產生 LoRA。",
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"Generate lora weights for extra networks.": "產生附加網路的 LoRA。（警告：如有使用 LoCon功能，需先安裝擴充。）",
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"Diffusion Weights (training snapshots)": "Diffusion Weights (training snapshots)",
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"Save separate diffusers snapshots when saving during training.": "在訓練期間保存獨立的模型。",
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"Save separate diffusers snapshots when training completes.": "訓練完成後保存獨立的模型。",
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"Save separate diffusers snapshots when training is canceled.": "當訓練被取消時保存獨立的模型。",
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"Class Generation Schedulers": "類別(正則) 圖像生成調度器",
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"Image Generation Library": "圖像生成",
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"A1111 txt2img (Euler a)": "A1111 txt2img (Euler a)",
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"Native Diffusers": "Native Diffusers",
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"Image Generation Scheduler": "圖像生成採樣方式",
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"DDPM": "DDPM",
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"PNDM": "PNDM",
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"LMSDiscrete": "LMSDiscrete",
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"EulerDiscrete": "EulerDiscrete",
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"HeunDiscrete": "HeunDiscrete",
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"EulerAncestralDiscrete": "EulerAncestralDiscrete",
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"DPMSolverMultistep": "DPMSolverMultistep",
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"DPMSolverSinglestep": "DPMSolverSinglestep",
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"KDPM2Discrete": "KDPM2Discrete",
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"KDPM2AncestralDiscrete": "KDPM2AncestralDiscrete",
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"DEISMultistep": "DEISMultistep",
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"UniPCMultistep": "UniPCMultistep",
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"Manual Class Generation": "Manual Class Generation",
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"Generate Class Images": "產生類別(正則) 圖片",
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"Generate Graph": "產生圖形",
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"Graph Smoothing Steps": "圖形平滑步驟",
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"Debug Buckets": "除錯",
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"Epochs to Simulate": "要模擬的訓練週期",
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"Batch Size to Simulate": "模擬的批量大小",
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"Generate Sample Images": "產生樣本圖像",
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"Sample Prompt": "樣本提示詞",
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"Sample Prompt File": "樣本提示文件",
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"Sample Width": "樣本寬度",
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"Sample Height": "樣本高度",
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"Sample Batch Size": "樣本批次大小",
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"Swap Sample Faces": "交換 Sample Faces",
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"Swap Prompt": "交換提示詞",
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"Swap Negative Prompt": "交換反向提示詞",
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"Swap Steps": "交換疊代步數",
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"Swap Batch": "交換批次",
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"Use txt2img": "使用文生圖",
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"Experimental Settings": "實驗性設定",
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"Deterministic": "確定性的訓練",
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"Use EMA for prediction": "使用 EMA 進行預測",
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"Calculate Split Loss": "計算分割損失",
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"Use TensorFloat 32": "使用TensorFloat 32",
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"Noise scheduler": "Noise scheduler",
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"DEIS": "DEIS",
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"Update Extension and Restart": "更新擴充並重新啟動",
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"Bucket Cropping": "批量裁剪",
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"Source Path": "來源路徑",
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"Dest Path": "目標路徑",
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"Max Res": "最大解析度",
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"Bucket Steps": "批量Steps",
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"Dry Run": "空運行",
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"Start Cropping": "開始裁剪",
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"Output": "輸出",
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"Checkbox": "核取方塊",
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"Image": "映像檔",
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"Check Progress": "查看進度",
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"Update Parameters": "更新參數",
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"Changelog": "更新紀錄",
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"X": "X",
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"sd_dreambooth_extension": "sd_dreambooth_extension",
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"https://github.com/d8ahazard/sd_dreambooth_extension.git": "https://github.com/d8ahazard/sd_dreambooth_extension.git",
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"runwayml/stable-diffusion-v1-5": "runwayml/stable-diffusion-v1-5",
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"A generic prompt used to generate a sample image to verify model fidelity.": "用於產生樣本圖像以驗證模型保真度的通用提示。",
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"A negative prompt for the generic sample image.": "通用圖像的反向提示詞。",
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"Leave blank to use base model VAE.": "留空以使用基本模型 VAE。",
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"Path to JSON file with concepts to train.": "帶有要訓練概念的 JSON 檔案的路徑。",
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"https://discord.com/api/webhooks/XXX/XXXX": "https://discord.com/api/webhooks/XXX/XXXX",
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"Path to directory with input images": "帶有輸入圖像的目錄路徑",
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"(Optional) Path to directory with classification/regularization images": "（可選）帶有類別(正則) 圖像的目錄路徑",
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"When using [filewords], this is the subject to use when building prompts.": "使用 [filewords] 時，構建提示時使用的主題。",
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"When using [filewords], this is the class to use when building prompts.": "使用 [filewords] 時，構建提示時使用的類別(正則)。",
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"Optionally use [filewords] to read image captions from files.": "可以選擇使用 [filewords] 從檔案中讀取圖像標題。",
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"Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.": "留空以使用實例提示。可以選擇使用 [filewords] 以實例圖像為基礎生成樣本標題。",
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"Enter the path to a txt file containing sample prompts.": "輸入包含樣本提示的 txt 檔案的路徑。",
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"Enter a model name for saving checkpoints and lora models.": "輸入模型名稱以保存檢查點和 lora 模型。"
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}
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