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AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender!
reddit.com/r/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?
reddit.com/r/MLQuestions | 2021-07-14
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. https://github.com/NVlabs/stylegan2-adareddit.com/r/MLQuestions | 2021-07-14
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
[D] Do I need to apply spectral norm to my embedding matrix when training a conditional W-GAN?
reddit.com/r/MachineLearning | 2021-06-30
Can I train a model on 100 images of homes and have it draw a couple "average" homes?
reddit.com/r/MLQuestions | 2021-05-30
New 'The Sculpture 3'. 3d sculpting + neural network
reddit.com/r/NFT | 2021-04-27
no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )
[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
reddit.com/r/MachineLearning | 2021-04-26
You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
reddit.com/r/learnmachinelearning | 2021-04-25
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.
reddit.com/r/DMT | 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 https://github.com/NVlabs/stylegan2-ada 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
reddit.com/r/LiminalSpace | 2021-04-04
with a process called ADA https://github.com/NVlabs/stylegan2-ada
Quick and Easy GAN Domain Adaptation explained: Sketch Your Own GAN by Sheng-Yu Wang et al. 5 minute summary
reddit.com/r/deeplearning | 2021-08-14
Hi! That's the point, you actually don't need an entire dataset. Just a pretrained generator and a few sketches of the poses that you want to generate! For example, you can take any model from https://github.com/justinpinkney/awesome-pretrained-stylegan2 sketch a couple of target images and apply the "Sketch Your Own GAN" method. If you have any more questions, I'll try to answer them.
Pre-trained StyleGAN2 model
reddit.com/r/learnmachinelearning | 2021-07-27
For some more good pretrained StyleGAN2 weights: https://github.com/justinpinkney/awesome-pretrained-stylegan2 (unfortunately some of the download links are dead though)
Synthetic Pink Floyd
reddit.com/r/MediaSynthesis | 2021-03-22
I suspect it was WikiArt from justinpinkey's StyleGAN2 collection.
[P] Stylegan on ~5k images
reddit.com/r/MachineLearning | 2021-01-18
I found this page after a quick google search https://github.com/justinpinkney/awesome-pretrained-stylegan2 but if this one doesn't work there are others. You can also just use StyleGan (v1) and have great results, I'm not sure that the v2 is much better.
How to make a pretrained StyleGan model?
reddit.com/r/tensorflow | 2020-12-26
like these models: https://github.com/justinpinkney/awesome-pretrained-stylegan2
What are some alternatives?
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
stylegan2_pytorch - A Pytorch implementation of StyleGAN2
stylegan2 - StyleGAN2 - Official TensorFlow Implementation