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Stylegan2-ada Alternatives
Similar projects and alternatives to stylegan2-ada
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awesome-pretrained-stylegan2
A collection of pre-trained StyleGAN 2 models to download
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stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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clip-guided-diffusion
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
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GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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EigenGAN-Tensorflow
EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better stylegan2-ada alternative or higher similarity.
stylegan2-ada 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 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.
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Stats
Basic stylegan2-ada repo stats
21
1,700
0.0
10 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.
Popular Comparisons
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