justinpinkney / awesome-pretrained-stylegan Goto Github PK

Hi Justin,

maybe you can help me - my goal is to take a picture of myself and toonify myself.

I've compressed it into 3 steps

1. align the imges
2. project images
3. blend networks

this line - step 2.

python project_images.py --num-steps 500 aligned generated
which is going to go through the aligned photos / after being processed from raw has some training component. I'm not clear on why or what this is doing only that the generated folder is showing a bunch of blurred images.

WHY do we need to
Adding the images to tfrecords ...????
I want to take any image and find the associated npy.... do they all need to be added to tfrecords? and what does this actually do.

step 3 - just takes an array of npy file (the found vector of phot from latent space) and does the final step to make toon image. latent_dir.glob("*.npy")

https://gist.github.com/johndpope/55d4b8c33c3cac2c794373c4af7202ad

is there a faster / better way to just get the npy from an existing image?

I need to reproduce stylegan based on the pytorch framework。
I found many pre-trained models here, thank you very much for your input, but they are all implemented based on the tensorflow version.
I would like to know if there are some other pretrained models implemented based on the pytorch framework.
Or is there any other way I can use these pretrained models