35 lines
2.2 KiB
JSON
35 lines
2.2 KiB
JSON
{
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"DreamArtist": "夢想家（DreamArtist）",
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"DreamArtist Create embedding": "夢想家（DreamArtist）創建嵌入",
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"DreamArtist Train": "夢想家（DreamArtist）訓練",
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"Process Att-Map": "處理注意力圖（Att-Map）",
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"Initialization text (negative)": "初始化文本（反向）",
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"Number of negative vectors per token": "每個標記的反向向量數",
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"Unet Learning rate": "Unet 模型的學習率",
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"Train with DreamArtist": "使用夢想家（DreamArtist）訓練",
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"Train with reconstruction": "訓練時開啟重建",
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"Attention Map": "注意力圖（Att-Map）",
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"Train U-Net": "訓練 U-Net",
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"CFG scale (dynamic cfg: low,high:type e.g. 1.0-3.5:cos)": "提示詞相關性（動態 CFG：low,high:type，例如 1.0-3.5:cos）",
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"Reconstruction loss weight": "重建損失權重",
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"Negative lr weight": "反向的學習率權重",
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"Classifier path": "分類器（Classifier）的路徑",
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"Accumulation steps": "累加步數",
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"Prompt template file": "提示詞模版檔案",
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"Positive \"filewords\" only": "僅使用正向「詞彙」",
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"Experimental features (May be solve the problem of erratic training and difficult to reproduce [set EMA to 0.97])": "實驗性功能（可能解決訓練不穩定和難以重現的問題 [將 EMA 設定為 0.97]）",
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"EMA (positive)": "EMA (正)",
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"EMA replace steps (positive)": "EMA 替換步數 (正)",
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"EMA (nagetive)": "EMA (負)",
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"EMA replace steps (nagative)": "EMA 替換步數 (負)",
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"beta1": "β1",
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"beta2": "β2",
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"Since there is a self-attention operation in VAE, it may change the distribution of features. This processing will superimpose the attention map of self-attention on the original Att-Map.": "由於 VAE 中使用了自我注意力機制，這可能會改變特徵的分佈。這種處理會將自我注意力產生的注意力圖與原始的注意力圖疊加在一起。",
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"Data directory": "資料目錄",
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"Process": "行程, 程序",
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"Image": "映像檔",
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"DreamArtist-sd-webui-extension": "DreamArtist-sd-webui-extension",
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"Path to classifier ckpt, can be empty": "分類器的路徑，可以是空白",
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"https://github.com/7eu7d7/DreamArtist-sd-webui-extension.git": "https://github.com/7eu7d7/DreamArtist-sd-webui-extension.git"
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}
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