stylegan2 VS civitai

I don't know. If you're really curious, you can just try it: https://github.com/NVlabs/stylegan2

StyleGAN2 (Dec 2019) - Karras et al. and Nvidia

> The denoising part of a denoising autoencoder refers to the noise applied to its input

Agree, it converts a noisy image to a denoised image. But the odd thing is, when you put a noisy image into a StyleGAN2 encoder, you get latents which the decoder will turn into a de-noised image. So in practical use, you can take a trained StyleGAN2 encoder/decoder pair and use it as if it was a denoiser.

> These differences lead to learned distributions in the latent space that are entirely different

I also agree there. The training for a denoising auto-encoder and for a GAN network is different, leading to different distributions which are sampled for generating the images. But the architecture is still very similar, meaning the limits of what can be learned should be the same.

> Beyond that the comparison just doesn't work, yes there are two networks but the discriminator doesn't play the role of the AE's encoder at all

Yes, the discriminator in a GAN won't work like an encoder. But if you look at how StyleGAN 1/2 are used in practice, people combine it with a so-called "projection", which is effectively an encoder to convert images to latents. So people use a pipeline of "image to latent encoder" + "latent to image decoder".

That whole pipeline is very similar to an auto-encoder. For example, here's an NVIDIA paper about how they round-trip from image to latent to image with StyleGAN: https://arxiv.org/abs/1912.04958 My interpretation of what they did in that paper is that they effectively trained a StyleGAN-like model with the image L2 loss typically used for training a denoising auto-encoder.

These problems are usually done with CNN Encoder-Decoder frameworks. Usually GAN (Generative Adversarial Networks see StyleGan2).

This is the result of two different models. The first looks like a latent space interpolation of StyleGan2 and the mouth movements are without a doubt from wav2lip.

OP: if you want to run this at higher resolution, you should probably look at running it yourself, using something like this: https://github.com/NVlabs/stylegan2

StyleGAN2 (Dec 2019) - Karras et al. and Nvidia

A few of you might've seen an earlier post of mine about this project (Or the repost that got more upvotes 🙃), and I've improved the code and network since then after more thoroughly reading and understanding the official StyleGAN2 implementation.

So I've been a Pro+ subscriber since around November which I mainly use to train GANs. I have multiple Google accounts, let's call them Account 1, 2, and 3. Accounts 1 and 2 are normal Google accounts and Account 3 is an account I got from my university after I graduated which has unlimited storage.

I find it quite funny, especially if you realize that something like 90% of the Stable Diffusion model fine-tunes out there are actually made for generating porn or images of females. Go to the website that has the most image generation models to verify this for yourself: https://civitai.com

WARNING don't visit this site on your work computer.

Remember The Website Obesity Crisis [1] article from 2015, since then [2] things only got worse, and it is been almost 10 years already (at the end of 2024).

Is it foolish to say that in 10 more years you wont be able to navigate the web on a circa 2015 PC ? If nothing changes seems like it.

My old macbook from 2013 with latest Firefox is already can not handle loading https://civitai.com web page with 23.98 MB of JavaScript, it is just hangs for half a minute while trying to render this disaster of web frontend.

[1] https://idlewords.com/talks/website_obesity.htm

[2] https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

One of the most popular free AI image generators right now is Civitai. Civitai uses a cutting-edge AI model to turn text prompts into photorealistic images in seconds.

Soz, I don't like to cross link my accounts, especially with all this TSWift shenanigans going around. But, if you look at https://civitai.com/ plenty of people have links to their ko-fi accounts where you can commission them (heck you may even find me somewhere on there).

civitai.com ?

all the samples images on models at https://civitai.com/ have prompts included. I used to have a bunch of sites that list prompts bookmarked, but I lost all my bookmarks recently :(

https://civitai.com/ most people grab models here these days I think. At least I do. And yeah, make sure to put checkpoints in the model folder, and lora in the lora folder, and hit the refresh button and it should show up.

Go to civitai.com, look for images that look realistic, study their prompts and the models used to generate them.

Tons of models to pick from on Civitai. I have a bunch downloaded for making NPCs for DnD.