Stylegan3 Alternatives

stylegan3 reviews and mentions

• StyleGAN3 NvidiaLabs - The state-of-the-art in Artificial Intelligence applied to Human Face Generation.
  1 project | /r/artificial | 1 Jul 2023

  StyleGAN3 by Nvidia Open Source Software »

• AI's Triumph: Lifelike Human Faces through GAN Technology
  1 project | /r/ArtificialInteligence | 22 Jun 2023

  StyleGAN by Nvidia (Open Source) - GitHub » StyleGAN on GitHUB

• StyleGAN by Nvidia: Revolutionizing Generative AI
  1 project | /r/artificial | 21 Jun 2023
• What Photoshop Can't Do, DragGAN Can! See How! Paper Explained, Along with Additional Supplementary Video Footage
  1 project | /r/deeplearning | 20 May 2023

  Not unless you are Nvidia Corporation: https://github.com/NVlabs/stylegan3/blob/main/LICENSE.txt

• How to load a StyleGAN3 PKL into PyTorch?
  1 project | /r/pytorch | 23 Apr 2023

  I found the follow script but unsure of how to utilize it in this context. https://github.com/NVlabs/stylegan3/blob/main/torch_utils/persistence.py

• Can't figure out how to link key pairs with one hot encoded binary tables in a Json file - Stylegan3/pytorch/python
  1 project | /r/CodingHelp | 2 Jan 2023

  full dataset.py file that I'm changing is here: https://github.com/NVlabs/stylegan3/blob/main/training/dataset.py

• Online Football Manager face generator
  1 project | /r/footballmanagergames | 23 Nov 2022

  The neural network on which the training was carried out - https://github.com/NVlabs/stylegan3

• AI-generated Formidable portraits
  3 projects | /r/AzureLane | 13 Sep 2022

  I trained a Generative Adversarial Network stylegan2-ada model with NVIDIA’s StyleGAN3 algorithm with a RTX 3090 GPU for a few nights. This is an interpolation video of the generator model’s random-walk datapoints divided into 4 different windows. Initially I web crawled some 2000 images of any Formidable images and cropped them with nagadomi’s lbpcascade_animeface anime face detector, with a setting that I attempted to also include her assets in the image. Previously I have done by transfer-learning from Gwern’s ThisWaifuDoesNotExist, which only included heads of Emilia from Re:Zero, which was quite good. This time I wanted to see if the model can also handle having something more than just a head. Having Formidable’s chest also in the image made some angles perform pretty bad, as there are as many ways of making anatomy as there are artists. Because of this, I removed all swimsuit and party skin images, as making her features was hard enough with her default skin, making the final dataset size some 1500 images. In the end, I’m pretty satisfied with the results, but I could prune the dataset even more and crop the images more homogenously as well as try a bit different hyperparameters (most importantly gamma) and stylegan3-t. However, I want to move into trying out Stable Diffusion model, so I will wrap this project up at least for now and post this. There is a psi hyperparameter used in this video generation, that determines how “creative” the generator might be, i.e. how far from an optimal statistical distribution it can go at any given datapoint (video time in this case). With psi=0 you have almost static video, and with psi=1 wildly varying results of which half aren’t even recognizable, and some are really good. I settled for 0.65, which I think has some nice variety with a reasonable amount of bad morphs.

• Training StyleGAN3 on anime faces.
  2 projects | /r/learnmachinelearning | 7 Aug 2022

  Refer to the training configurations to choose the correct values for your hardware, config and dataset. Reducing the --batch value typically warrants increasing --gamma and/or lowering the D and G learning rates (--dlr and --glr). Think of --gamma as the “randomness” or “creativity” of the model.

• I sure love chasing an ungodly fast VGT that has a 25 second head start on me
  1 project | /r/granturismo | 27 May 2022

  Heck to train StyleGAN, an AI image style transfer model, requires 1-8 GPU’s with a minimum of 12GB of VRAM to train. Using a single Tesla V100, which is about £6-10k, it still can take upwards of one minute to process 1000 256x256 images.

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  www.saashub.com | 25 Apr 2024

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