stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by NVlabs)
LiminalGan
A stylegan2 model trained on liminal space images (by limgan)
stylegan2-ada | LiminalGan | |
---|---|---|
21 | 3 | |
1,819 | 8 | |
0.1% | - | |
0.0 | 4.2 | |
11 months ago | about 4 years ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stylegan2-ada
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 2022-09-21.
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Getty Images will cease to accept all submissions created using AI generative models
If you smudge just a few locations I doubt it would fool a simple discriminator. You could also train a discriminator that is robust to post-processing by using augmentations. This was popular with StyleGAN models: https://github.com/NVlabs/stylegan2-ada
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
https://github.com/NVlabs/stylegan2-ada + clip guided diffusion
- [P] Play around with StyleGAN2 in your browser
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AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender!
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.
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How do you generate those latent walk animations?
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?
- Can I train a model on 100 images of homes and have it draw a couple "average" homes?
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New 'The Sculpture 3'. 3d sculpting + neural network
no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )
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[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
LiminalGan
Posts with mentions or reviews of LiminalGan.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-04.
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An interpolation from an AI trained on liminal images
Center crop / crop the images to be square and filter them so they are a consistent resolution, to do this i used this code here: https://github.com/limgan/LiminalGan/blob/main/center_crop_images.py. The usage is make_dataset(in_dir, out_dir, resolution)
What are some alternatives?
When comparing stylegan2-ada and LiminalGan you can also consider the following projects:
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
clip-guided-diffusion - A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
GAN_stability - Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"