mit-han-lab / anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
https://hanlab.mit.edu/projects/anycost-gan/
MIT License
776 stars 97 forks source link

checkpoint for mult-resolution training #17

Closed betterze closed 3 years ago

betterze commented 3 years ago

Dear anycost-gan team,

Thank you for sharing this great work, I really like it.

Would you minding sharing the intermedia checkpoint for mult-resolution step? To train anycost gan, we need to do 3 steps:

  1. Training the original StyleGAN2 on FFHQ
  2. Training Anycost GAN: mult-resolution
  3. Training Anycost GAN: adaptive-channel

You provide the checkpoint for 1st and 3rd steps. Would you minding aslo sharing the checkpoint for the second step? I understand that I can train it by myself, but 8 gpus for 5 days is really too heave resource for us.

Thank you for your help.

Best Wishes,

Alex

tonylins commented 3 years ago

Hi Alex,

Thanks for your interest in our work. You may find the checkpoint for the multi-resolution model here: https://hanlab.mit.edu/projects/anycost-gan/files/generator_multires-ffhq-config-f.pth.

Best, Ji

betterze commented 3 years ago

thx a lot. I really appreciate it.

betterze commented 3 years ago

I am sorry to bother you again. The multi-resolution model seems to only contain generator but not discriminator, would you may share both G and D?

Thank you again for your help. I really appreciate it.

tonylins commented 3 years ago

Hi, the checkpoint for both G and D can be found here: https://hanlab.mit.edu/projects/anycost-gan/files/gnd_multires-ffhq-config-f.pth.

betterze commented 3 years ago

thx a lot.