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Regarding the style generalization capability of the repo #41

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@Azer90

Question 1:
In the first stage of the project, is it true that using a large variety of font styles for training will result in better generalization? Will it negatively affect the results if some of the font samples have slightly similar styles?

Question 2:
Will it affect the training process if some fonts have incomplete character sets? For example, will it cause errors during training, lead to poor inference results later, or will it have no impact?

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