StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by NVlabs)

Stylegan2-ada Alternatives

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Reviews and mentions

Posts with mentions or reviews of stylegan2-ada. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-14.
  • AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender! | 2021-09-13
    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.
  • How do you generate those latent walk animations?
    I understand the concept you're describing, but I'm unsure how to implement it in practice. The documentation on Stylegan2's GitHub page doesn't mention anything on it I can see.
    You have to modify the code, it's line 60 in
  • [D] Do I need to apply spectral norm to my embedding matrix when training a conditional W-GAN?
  • Can I train a model on 100 images of homes and have it draw a couple "average" homes?
  • New 'The Sculpture 3'. 3d sculpting + neural network | 2021-04-27
    no i dont.. but as for training - i just use default tf stylegan2-ada repo ( )
  • [R] EigenGAN: Layer-Wise Eigen-Learning for GANs
    You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
  • gamma
  • I have been making art with deep neural networks lately, and at some point one of them started outputting these cosmic creatures, so I thought I'd share. | 2021-04-21
    This image looks awesome! And this process sounds really interesting, any more specific tips on where to get started? I studied Neuroscience, use Linux and Python for data analysis, but haven't done any image editing yet. I found the code but it seems like I need a GPU. Which I don't have, unless I use the servers at my university lol
  • An interpolation from an AI trained on liminal images
    with a process called ADA
  • [D] Why some major papers in ML aren't peer-reviewed?
    I'm a little bit of an outsider (coming from a life science field) and I noticed that some major publications in the field of ML aren't peer-reviewed (one example:, which strikes me as very unusual given that in my field a paper that is not peer-reviewed is as good as a blog post. I understand the need to publish asap because research in the field is moving so fast, but preprints exists for that, so that shouldn't be the reason why. Could somebody explain to me why peer-review doesn't appear to be prioritized in ML research? I'm not trying to criticize the way it works, I'm just puzzled and confused because it's not what I'm used to see.
  • [P] Generating Galaxies using StyleGAN2-ADA
    This is a video of a StyleGAN2-ADA trained on images from Hubble that involves travelling through the latent space with different truncation values. The images were scraped and then manually cleaned as a fair few either had diagrams or "defects". The dataset is of ~1,000 images and the network has been trained until no further improvements in FID were noted.
  • What does maintenance in stylegan2 mean?
    It looks like it refers to how much time was spent on "maintenance tasks" based on the source code.
  • [R] A survey on generative adversarial networks: fundamentals and recent advances - Link to free zoom lecture by the researcher in comments
    Training generative adversarial networks with limited data [NeurIPS 2020] Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila. arxiv: git:
  • AI-Generated Art Based On Surrealism
    I used a GAN (Generative adversarial network) called StyleGAN2-ADA as a way to train and generate images. The dataset I used was a manually curated dataset of surrealist art, mostly from the likes of zdzisław beksiński. It took about 3 days to train, and I'm pretty happy with how it turned out


Basic stylegan2-ada repo stats
8 months ago

NVlabs/stylegan2-ada is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

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