awesome-pretrained-stylegan2
A collection of pre-trained StyleGAN 2 models to download (by justinpinkney)
stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by NVlabs)
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| awesome-pretrained-stylegan2 | stylegan2-ada | |
|---|---|---|
| 7 | 21 | |
| 1,156 | 1,709 | |
| - | 0.5% | |
| 2.5 | 0.0 | |
| 8 months ago | 11 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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.
awesome-pretrained-stylegan2
Posts with mentions or reviews of awesome-pretrained-stylegan2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
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List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
Many of the items on the first list below are Google Colaboratory ("Colab") notebooks, which run in a web browser; for more info, see the Google Colab FAQ. Some Colab notebooks create output files in the remote computer's file system; these files can be accessed by clicking the Files icon in the left part of the Colab window. For the BigGAN image generators on the first list that allow the initial class (i.e. type of object) to be specified, here is a list of the 1,000 BigGAN classes. For the StyleGAN image generators on the first list that allow the specification of the StyleGAN2 .pkl file, here is a list of them.
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Pre-trained StyleGAN2 model
For some more good pretrained StyleGAN2 weights: https://github.com/justinpinkney/awesome-pretrained-stylegan2 (unfortunately some of the download links are dead though)
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[P] Stylegan on ~5k images
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.
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How to make a pretrained StyleGan model?
like these models: https://github.com/justinpinkney/awesome-pretrained-stylegan2
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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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. https://github.com/NVlabs/stylegan2-ada
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
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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
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An interpolation from an AI trained on liminal images
with a process called ADA https://github.com/NVlabs/stylegan2-ada
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[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: https://arxiv.org/abs/2006.06676v2 git: https://github.com/NVlabs/stylegan2-ada
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[P] Stylegan on ~5k images
As official as it can be.
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[D] Stylegan2-pytorch pauses for a long time after every 4th iteration?
I direct you to the issue on the subject in the NVLabs/stylegan2-ada repository.
What are some alternatives?
When comparing awesome-pretrained-stylegan2 and stylegan2-ada 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_pytorch - A Pytorch implementation of StyleGAN2
clip-guided-diffusion - A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
LiminalGan - A stylegan2 model trained on liminal space images
GAN_stability - Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
stylegan - StyleGAN - Official TensorFlow Implementation
Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
dl-colab-notebooks - Try out deep learning models online on Google Colab