stylegan2-ada VS ziyadedher

If you smudge just a few locations I doubt it would fool a simple discriminator. You could also train a discriminator that is robust to post-processing by using augmentations. This was popular with StyleGAN models: https://github.com/NVlabs/stylegan2-ada

https://github.com/NVlabs/stylegan2-ada + clip guided diffusion

StyleGAN2-ADA is a neural network good at learning styles from images, you can give it a dataset and 'learn' its style into a file (a trained model). In this example, I load a model and given a random seed, generate a random texture which is applied to the object's material.

You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py

no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )

You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation

I built a little page to run and manipulate StyleGAN2 in the browser.

https://ziyadedher.com/faces

It was pretty fun learning about ONNX and how to port GANs to web. You can play around with the random seeds and also distort the intermediate latents to produce some really wacky results. You can check out a GIF on Twitter (https://twitter.com/ziyadedher/status/1477161436635795463?s=...).

Let me know if you come up with anything cool!

The source is kinda trash, but you can check it out at https://github.com/ziyadedher/ziyadedher.

Yep! But the code for this page in particular is really trash since I kinda just threw it together. https://github.com/ziyadedher/ziyadedher, you'll find the page in src/pages/hacks/darkarts.tsx (sorry for no direct links, I'm on my phone).