FontDiffuser

FontDiffuser copied to clipboard

when ”Combined with InstructPix2Pix “ releasing ？

shiyongde

Whether the model can be applied with handwriting generation?

4

Thank you very much for your work, I am very interested in this, but I would like to ask whether there are experiments to prove that this model can be...

CyberAI-XDU

训练出错

1

在训练的时候默认开启了数据并行导致保存DistributedDataParallel，模型model没有unt这个参数导致出错，如何从并行模型提取需要模型参数

yang-chenyu104

用Git Bash 2.46.0.windows.1运行**D:\FontDiffuser-main\train_phase_1.sh**的时候报出如下错误: > l257737602 MINGW64 /d/FontDiffuser-main > $ sh train_phase_1.sh > D:\Users\limin\AppData\Local\Programs\Python\Python312\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. > @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32) > D:\Users\limin\AppData\Local\Programs\Python\Python312\Lib\site-packages\accelerate\accelerator.py:406: UserWarning: `log_with=tensorboard` was passed...

l257737602

https://github.com/yeungchenwa/FontDiffuser?tab=readme-ov-file#training---phase-2 > **After the phase 2 training**, you should put the trained checkpoint files (unet.pth, content_encoder.pth, and style_encoder.pth) to the directory phase_1_ckpt. During phase 2, these parameters will be resumed....

l257737602

About InstructPix2Pix

2

Hello @yeungchenwa , Thank you for your excellent work on the FontDiffuser project! I am very curious about how you combined FontDiffuser and InstructPix2Pix. I have tried different text prompts...

Mactor2018

First, thanks for open soucing your amazing work. Two weeks ago, I commented below an [existing issue](https://github.com/yeungchenwa/FontDiffuser/issues/40#issuecomment-2235240970) requesting for the script, but you might have missed my comment. It's been...

AlienKevin

InfoNCE

1

您好，我想询问一下关于第二阶段的对比损失InfoNCE具体代码是怎么样的，感谢

gfdbm

关于数据集的问题

1

你好，你们的工作很棒，但是我作为一个初学者对于这个领域的了解没有很深，尤其是这个领域现存有哪些开源数据集可以使用。请问你们的数据集是怎么、从何构建的呢，可以给一个可供参考的开源数据集的链接吗？非常感谢

hmppt

关于训练的几个问题

4

作者大佬们好，非常感谢你们的工作！ 关于训练我有两个问题。 1、假如说有草书、楷书两个主要风格的笔记训练，我将他们混合到一起进行训练效果好，还是说进行分类后再单独生产效果好呢？ 2、训练时loss值有推荐的区间不

vszyylll