stylegan2-flax-tpu VS stylegan2-pytorch

I’ll take this opportunity to mention our research scaling StyleGAN 2 to larger datasets (using LAION) on food images, leveraging free TPU compute through the TRC program.

We trained for 36 days on a v4-8 on 558k images.

https://nyx-ai.github.io/stylegan2-flax-tpu/

We were hopeful GANs would beat diffusion models when trained on specific domains. But we’ve now switched to Stable Diffusion and Dreambooth training which has proven more much efficient for this purpose.

I still have hopes for GANs! I miss their insane inference speed.

https://nyx-ai.github.io/stylegan2-flax-tpu

https://nyx-ai.github.io/stylegan2-flax-tpu

This is an incremental update on the work we shared 3 months ago: https://news.ycombinator.com/item?id=32167704

We keep scaling up StyleGAN2 training using more data, larger models, and more compute. In this release we open-source a 5-class model able to generate images of burgers, cheesecakes, cocktails, cookies, and sushis at resolution 512x512.

This research is part of the technology underlying our AI-generated photography platform Nyx.gallery that we shared here 2 weeks ago: https://news.ycombinator.com/item?id=33179730

It is also part of an academic research into data augmentation using synthetic methods in partnership with the Food & You project (https://www.foodandyou.org/).

This is a continuation of our work on "This Food Does Not Exist" (Reddit discussion, Github, checkpoints).

Models for the 256px food images were previously released here:

https://github.com/nyx-ai/stylegan2-flax-tpu

This is the continuation of our work on "This Food Does Not Exist", using old-school StyleGAN2 with more data and larger models to generate bigger images (now 512x512 instead of 256x256).

I believe you had seen it before on HN: https://nyx-ai.github.io/stylegan2-flax-tpu/

📘 Repo: https://github.com/nyx-ai/stylegan2-flax-tpu

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I wonder if we will ever get a realism model which can produce normal faces like https://thispersondoesnotexist.com instead of like super symmetrical faces of models

this has been in circulation since a while AI images took off, and they certainly weren't convincing before they did. You know the old "try to name one thing in this image" macro? Pretty sure that was AI generated, there was also thispersondoesnotexist.com which was always pretty good but of course it is

Not the workflow for these images, but if you easily want to spice up your gens with a bit more natural look, try using images from thispersondoesnotexist.com with IPAdapter face model.

...then they just use the app on generated images of not real people (potentially based on specific inputs to remind you of a real person).

Also we can generate very realistic faces with AI, https://thispersondoesnotexist.com/ (old example), fully 3D faces are doable at this point. So in another 5-10 years a low profile model like him wouldn't even be hired for this, they would just generate a digital face model. Unionizing will only speed up studios adoption of digital replacements.

It looks like they all use a profile picture made with https://thispersondoesnotexist.com/