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stroke size controlling #5
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Hi, using the model trained with stroke perceptual loss can increase the stroke size to a certain extent. |
I understand. Would this be overcomeable with TINs of the TIN? so basically creating a pyramid? (By the way, URST is impressive, Congrats) |
Yes, URST can be adapted to stroke-controllable-fast-style-transfer. The only problem is that this code is TensorFlow, I don't know how to implement it immediately. |
Hi @czczup thanks for your work! You mentioned the following, so have you made any progress on it?
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Hello, thanks for your attention. I'm sorry I can't find the code implemented at that time. I can try to re-implement it, but it will take some time. |
It's okay. Thanks for reply. |
Hi, Multimodal Transfer is ready now. |
I'm gonna go back read that paper. Got distracted to stable diffusion buzz. Thanks for your hard work!! |
In your paper you mention changing the decoder of adain to change the stroke size.
what is the difference between the decoders e.g. "decoder_stroke_perceptual_loss_1.pth" ?
In my case, I would like to convert an ultra high resolution (8192x8192), but applying the same "huge" stroke size, as I would if I would resize the picture to 1024x1024
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