此嵌入專注於修正手指數量與形狀問題，可能導致模型風格改變

• v5:

  • negative_hand-neg訓練於10張圖像而成。

• v22

  • 使用75個vector，訓練資料使用v5與其他負面嵌入產生的兩百張圖像。

• v49

  • 使用32個vector，訓練資料使用不同風格模型與其他負面嵌入產生的六百張圖像。

Translated by ChatGPT

This embedding focuses on correcting issues related to the number and shape of fingers, which may result in a change in the model's style.

• v5:

  • negative_hand-neg is trained on 10 images.

• v22:

  • Utilizing 75 vectors, the training data consists of 200 images generated from v5 and other negative embeddings.

• v49

  • Utilizing 32 vectors, the training data consists of 600 images generated from different style models and other negative embeddings.

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