228 lines
12 KiB
JSON
228 lines
12 KiB
JSON
{
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"Dreambooth": "Dreambooth",
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"Load Settings": "設定の読み込み",
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"Save Settings": "設定を保存",
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"Generate Ckpt": "Ckptを生成",
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"Save Weights": "重みを保存",
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"Generate Samples": "サンプルを生成",
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"Cancel": "取消",
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"Select or create a model to begin.": "開始するモデルを選択または作成する。",
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"Model": "モデル",
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"Select": "選択",
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"Create": "作成",
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"Snapshot to Resume": "スナップショットから再開する",
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"Lora Model": "LoRA モデル",
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"Loaded Model:": "ロードされたモデル:",
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"Model Revision:": "モデルリビジョン:",
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"Model Epoch:": "モデルのエポック数",
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"V2 Model:": "V2 モデル:",
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"Has EMA:": "Has EMA:",
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"Source Checkpoint:": "ソースのチェックポイント:",
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"Create Model": "モデル作成",
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"Create From Hub": "ハブから作成",
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"512x Model": "512x モデル",
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"Model Path": "モデルのパス",
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"HuggingFace Token": "HuggingFace Token",
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"Source Checkpoint": "ソースのチェックポイント",
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"Extract EMA Weights": "EMAウェイトを抽出",
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"Unfreeze Model": "モデルを凍結解除",
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"Input": "入力",
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"Concepts": "コンセプト",
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"Saving": "保存中",
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"Testing": "テスト中",
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"Performance Wizard (WIP)": "パフォーマンスウィザード (WIP)",
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"Basic": "基本",
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"General": "一般",
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"Use LORA": "LORAを使う",
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"Use Lora Extended": "LoRA 拡張を使用",
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"Train Imagic Only": "画像のみでトレーニング",
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"Train Inpainting Model": "ンペインティングモデルのトレーニング",
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"Generate Classification Images Using txt2img": "txt2imgを使用して分類画像を生成する。",
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"Intervals": "間隔",
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"Training Steps Per Image (Epochs)": "1つの画像あたりのトレーニングステップ数（エポック数）",
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"Pause After N Epochs": "N エポック後に一時停止",
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"Amount of time to pause between Epochs (s)": "エポック間で一時停止する時間(秒)",
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"Save Model Frequency (Epochs)": "モデルの保存頻度（エポック数）",
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"Save Preview(s) Frequency (Epochs)": "プレビュー保存頻度 (エポック数)",
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"Batching": "バッチ処理",
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"Batch Size": "バッチサイズ",
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"Gradient Accumulation Steps": "勾配蓄積ステップ",
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"Class Batch Size": "クラスのバッチサイズ",
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"Set Gradients to None When Zeroing": "勾配をゼロにするときにNoneに設定する",
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"Gradient Checkpointing": "チェックポイントの傾度",
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"Learning Rate": "学習率",
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"Learning Rate Scheduler": "学習率スケジューラ",
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"linear_with_warmup": "linear_with_warmup",
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"cosine": "コサイン",
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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": "cosine_with_restarts",
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"polynomial": "多項式",
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"constant": "定数",
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"constant_with_warmup": "constant_with_warmup",
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"Min Learning Rate": "最低学習率",
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"Number of Hard Resets": "ハードリセット数",
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"Constant/Linear Starting Factor": "定数/線形開始係数",
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"Polynomial Power": "多項式累乗",
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"Scale Position": "スケールの位置",
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"Lora UNET Learning Rate": "LoRA UNET 学習率",
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"Lora Text Encoder Learning Rate": "LoRAテキストエンコーダの学習率",
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"Learning Rate Warmup Steps": "学習率ウォームアップのステップ",
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"Image Processing": "画像処理",
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"Max Resolution": "最大解像度",
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"Apply Horizontal Flip": "水平方向に反転を適用",
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"Sanity Sample Prompt": "正常性確認用サンプルのプロンプト",
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"Sanity Sample Negative Prompt": "正常性確認用サンプルのネガティブプロンプト",
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"Sanity Sample Seed": "正常性確認用サンプルのシード値",
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"Miscellaneous": "その他",
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"Pretrained VAE Name or Path": "事前訓練済みのVAE名またはパス",
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"Use Concepts List": "コンセプトリストを使用",
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"Concepts List": "コンセプトリスト",
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"API Key": "API キー",
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"Discord Webhook": "DiscordをWebフォーク",
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"Save and Test Webhook": "Webフォークの保存とテスト",
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"Advanced": "高度な設定",
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"Tuning": "チューニング",
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"Use EMA": "EMAを使用",
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"Optimizer": "オプティマイザー",
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"8Bit Adam": "8Bit Adam",
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"Lion": "Lion",
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"Mixed Precision": "混合された精度",
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"no": "no",
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"fp16": "fp16",
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"Memory Attention": "Memory Attention",
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"default": "初期値",
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"xformers": "xformers",
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"Cache Latents": "履歴のキャッシュ",
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"Train UNET": "UNETでトレーニングする",
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"Step Ratio of Text Encoder Training": "テキストエンコーダトレーニングのステップ比率",
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"Offset Noise": "オフセットノイズ",
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"Freeze CLIP Normalization Layers": "CLIP正規化レイヤーを固定",
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"Clip Skip": "Clip Skip",
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"AdamW Weight Decay": "AdamW Weight の減衰",
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"Pad Tokens": "パッドトークン",
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"Strict Tokens": "厳密なトークン",
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"Shuffle Tags": "タグをシャッフル",
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"Max Token Length": "最大トークンの長さ",
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"Prior Loss": "正則化の損失",
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"Scale Prior Loss": "Scale Prior Loss",
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"Prior Loss Weight": "正則化の損失の重み",
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"Prior Loss Target": "正則化の損失の対象",
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"Minimum Prior Loss Weight": "最小の正則化の損失の重み",
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"Training Wizard (Person)": "トレーニングウィザード (人)",
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"Training Wizard (Object/Style)": "トレーニングウィザード (オブジェクト/スタイル)",
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"Concept 1": "コンセプト 1",
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"Concept 2": "コンセプト 2",
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"Concept 3": "コンセプト 3",
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"Concept 4": "コンセプト 4",
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"Directories": "Directories",
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"Dataset Directory": "Dataset Directory",
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"Classification Dataset Directory": "Classification Dataset Directory",
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"Filewords": "Filewords",
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"Instance Token": "Instance Token",
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"Class Token": "Class Token",
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"Prompts": "プロンプト",
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"Instance Prompt": "Instance Prompt",
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"Class Prompt": "Class Prompt",
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"Sample Image Prompt": "Sample Image Prompt",
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"Classification Image Negative Prompt": "Classification Image Negative Prompt",
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"Sample Prompt Template File": "Sample Prompt Template File",
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"Sample Negative Prompt": "Sample Negative Prompt",
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"Image Generation": "Image Generation",
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"Class Images Per Instance Image": "Class Images Per Instance Image",
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"Classification CFG Scale": "Classification CFG Scale",
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"Classification Steps": "Classification Steps",
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"Number of Samples to Generate": "Number of Samples to Generate",
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"Sample Seed": "Sample Seed",
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"Sample CFG Scale": "Sample CFG Scale",
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"Sample Steps": "Sample Steps",
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"Custom Model Name": "Custom Model Name",
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"Save in .safetensors format": "Save in .safetensors format",
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"Save EMA Weights to Generated Models": "Save EMA Weights to Generated Models",
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"Use EMA Weights for Inference": "Use EMA Weights for Inference",
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"Checkpoints": "Checkpoints",
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"Half Model": "Half Model",
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"Save Checkpoint to Subdirectory": "Save Checkpoint to Subdirectory",
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"Generate a .ckpt file when saving during training.": "Generate a .ckpt file when saving during training.",
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"Generate a .ckpt file when training completes.": "Generate a .ckpt file when training completes.",
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"Generate a .ckpt file when training is canceled.": "Generate a .ckpt file when training is canceled.",
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"Lora UNET Rank": "Lora UNET Rank",
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"Lora Text Encoder Rank": "Lora Text Encoder Rank",
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"Lora Weight": "Lora Weight",
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"Lora Text Weight": "Lora Text Weight",
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"Generate lora weights when saving during training.": "Generate lora weights when saving during training.",
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"Generate lora weights when training completes.": "Generate lora weights when training completes.",
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"Generate lora weights when training is canceled.": "Generate lora weights when training is canceled.",
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"Generate lora weights for extra networks.": "Generate lora weights for extra networks.",
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"Diffusion Weights": "Diffusion Weights",
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"Save separate diffusers snapshots when saving during training.": "Save separate diffusers snapshots when saving during training.",
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"Save separate diffusers snapshots when training completes.": "トレーニング完了時に、ディフューザーのスナップショットを別々に保存します。",
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"Save separate diffusers snapshots when training is canceled.": "トレーニングのキャンセル時にディフューザーのスナップショットを個別に保存します。",
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"Generate Class Images": "クラス画像の生成",
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"Generate Graph": "グラフを作成する",
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"Graph Smoothing Steps": "グラフスムージングのステップ",
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"Debug Buckets": "バケットのデバッグ",
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"Epochs to Simulate": "シミュレートするエポック数",
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"Batch Size to Simulate": "シミュレートするバッチサイズ",
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"Generate Sample Images": "サンプル画像を生成",
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"Sample Prompt": "サンプルプロンプト:",
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"Sample Prompt File": "サンプルプロンプトファイル",
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"Sample Width": "サンプル幅",
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"Sample Height": "サンプル高さ",
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"Sample Batch Size": "サンプルのバッチサイズ",
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"Scheduler": "スケジューラー",
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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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"Swap Sample Faces": "サンプル面を入れ替え",
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"Swap Prompt": "プロンプトの入れ替え",
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"Swap Negative Prompt": "ネガティブプロンプトの入れ替え",
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"Swap Steps": "ステップの入れ替え",
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"Swap Batch": "バッチの入れ替え",
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"Use txt2img": "txt2img を使用",
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"Deterministic": "決定論的",
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"Use EMA for prediction.": "予測にEMAを使用します。",
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"Calculate Split Loss": "分割損失を計算する",
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"Use TensorFloat 32": "TensorFloat 32を使用する",
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"Use DEIS for noise scheduler": "ノイズスケジューラにDEISを使用する",
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"Update Extension and Restart": "拡張機能を更新して再起動",
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"Bucket Cropping": "バケットクロッピング",
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"Source Path": "ソースのパス",
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"Dest Path": "あて先のパス",
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"Max Res": "Max Res",
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"Bucket Steps": "バケットステップ",
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"Dry Run": "試運転",
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"Start Cropping": "クロッピングを開始",
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"Output": "出力",
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"Checkbox": "チェックボックス",
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"Image": "画像",
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"Check Progress": "進行状況を確認",
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"Update Parameters": "パラメーターを更新",
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"Changelog": "変更ログ",
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"X": "X",
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"Release notes": "Release notes",
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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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"A generic prompt used to generate a sample image to verify model fidelity.": "A generic prompt used to generate a sample image to verify model fidelity.",
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"A negative prompt for the generic sample image.": "A negative prompt for the generic sample image.",
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"Leave blank to use base model VAE.": "Leave blank to use base model VAE.",
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"Path to JSON file with concepts to train.": "Path to JSON file with concepts to train.",
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"https://discord.com/api/webhooks/XXX/XXXX": "https://discord.com/api/webhooks/XXX/XXXX",
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"(Optional) Path to directory with classification/regularization images": "(Optional) Path to directory with classification/regularization images",
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"When using [filewords], this is the subject to use when building prompts.": "When using [filewords], this is the subject to use when building prompts.",
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"When using [filewords], this is the class to use when building prompts.": "When using [filewords], this is the class to use when building prompts.",
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"Optionally use [filewords] to read image captions from files.": "Optionally use [filewords] to read image captions from files.",
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"Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.": "Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.",
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"Enter the path to a txt file containing sample prompts.": "Enter the path to a txt file containing sample prompts.",
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"Enter a model name for saving checkpoints and lora models.": "Enter a model name for saving checkpoints and lora models."
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}
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