Comments (1)
@Revo-Future
The font style is represented by its style embedding. You need first, gather data for all 27 fonts. The model will initialize the style embedding, and concat it with the character during training.
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Related Issues (20)
- Re-train the dataset with even more fonts HOT 9
- what's the parser? HOT 1
- How to carry out to keep training from lastest checkpoint
- about font2image.py HOT 1
- how to pretrain
- 如何训练 HOT 4
- 兄弟 你训练了多久 我这16g+1080ti+i7 训练了30个小时了还没出结果
- const_loss is large! 训练时const_loss太大怎么办。。。 HOT 1
- Interpolate problems HOT 1
- d_loss_real and d_loss_fake near 0 after training for some step.d_loss_real 和d_loss_fake在几次训练后都变成0 不动了 HOT 3
- category_loss is always 0
- What does the src_font and dst_font each represent?
- ask for advice HOT 1
- 有哪位大神复现了zi2zi模型,链接分享下 HOT 2
- Color Only Black ?
- why font2image fail some?
- all loss is nan
- IndexError: index out of range in self
- 报错:ValueError: cannot determine region size; use 4-item box
- font2img problems
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