Comments (4)
Hi there,
Thanks for your interest. The change could be quite simple. You could copy the diffusion.py
from our file to replace the original augment.py
and also replace the discriminator in StyleGAN3 with our discriminator. These are the two main steps for the move. You also need to modify some argument names and input timestep into the discriminator, but I think they can be easily debugged :).
from diffusion-gan.
Hi, I m looking to use your diffusion process to improve an existing GAN using the plugin approach . I don't see diffusion.py in the repo here? Perhaps it has a different name? Thanks
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https://github.com/Zhendong-Wang/Diffusion-GAN/blob/main/diffusion-stylegan2/training/diffusion.py
from diffusion-gan.
Hello there! Just wondering how to replace the discriminator in StyleGAN3 with your discriminator ? It would be grateful if you could tell me! Thx a lot!!!
from diffusion-gan.
Related Issues (20)
- No module named 'upfirdn2d_plugin' HOT 5
- AssertionError: Default process group is not initialized HOT 1
- RuntimeError: Both events must be recorded before calculating elapsed time. HOT 3
- ninja: build stopped: subcommand failed. HOT 5
- Error while running train.py HOT 3
- 'tuple' object is not callable HOT 1
- how to lower fid? HOT 2
- Use Diffusion-GAN in Other GAN Architecture HOT 2
- How to use Diffusion-GAN in GP-UNIT
- A tiny question in diffusion.py HOT 2
- FID discrepancy HOT 3
- Application HOT 1
- about the value of target HOT 1
- regarding the setting of the hyperparameter "ada_kimg" HOT 4
- grid_sampler_2d_backward() is missing value for argument 'output_mask'.
- How to modify discriminator to incorporate diffusion timestep t?
- Questions about adaptive diffusion. HOT 2
- About the dataset preprocessing HOT 1
- How to use in Our Model?
- Generation includes reverse process of Diffusion? HOT 3
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