stylegan2-fun
Slight modifications to the official StyleGAN2 implementation (by PDillis)
stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by RoyWheels)
| stylegan2-fun | stylegan2-ada | |
|---|---|---|
| 1 | 1 | |
| 49 | 76 | |
| - | - | |
| 0.0 | 0.0 | |
| about 3 years ago | about 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
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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-fun
Posts with mentions or reviews of stylegan2-fun.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-13.
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[P] StyleGAN2-ADA trained on cute corgi images <3
Sure! https://github.com/PDillis/stylegan2-fun#random-interpolation The code is doing a random interpolation, so if you want to go between specific seeds you can see further below. I'm currently porting everything to the ADA Pytorch version, and my current tests note it's far more efficient memory-wise. In the meantime, you can use that one for the StyleGAN1 and 2 models, though the ADA ones will need a bit of modification.
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 2021-03-13.
-
[P] StyleGAN2-ADA trained on cute corgi images <3
Have a look at the train.py of the StyleGAN2-ADA RoyWheels fork. I used the 'v100_16gb' configuration which has a batch size of 4.
What are some alternatives?
When comparing stylegan2-fun and stylegan2-ada you can also consider the following projects:
instagram-scraper - Instagram Scraper. Scrape useful data/posts from instagram users, hashtag and locations pages. Comments and people who liked specific posts and soon more. No login or API keys are required