StyleGAN3 ...
Datasets and pretrained Models forDear arfiticial friend, this is a collection of artistic datasets and models that we have put together during our ongoing stylegan3 trip at the lucid layers studios. You can use the model snapshots for instant fun, or you can work with the source datasets to train your own models.
Some models include multiple snapshots. these can give interesting variations.
maximized
tip: best viewed
Updates
This Document will be updated frequently since a lot of models are still in training on higher resolutions. You find information on each update in the "releases" section. (you may "watch" this repo for getting notified on new models)
Wombo Dream:
... based onAll source images in this category were generated with Wombo Dream. thanks to the cheesy api implementation of adri326 we could remotely generate thousands of images. these images were cropped to center and scaled to 1024x1024. datasets in resolutions of 256, 512 and 1024 were generated and are available for download.
Most datasets are tied to one single textpromt with some minor variations. But you may mix them together in new datasets to train multi domain models with style mixing.
Thanks to the wombo creators for their generous quota limits. since wombo is a free service, we like to share all batches that have been created.
1. Mechanical devices from the future
Dataset
Name | Mechanical devices from the future |
Method | Wombo Dream via Wombot |
Image count | 2169 |
Dataset download | 256, 512, 1024 |
Samples |
Model: 256 px
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
29 kimg Download .pkl |
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05 kimg Download .pkl |
2. Vivid Flowers
Dataset
Name | Vivid Flowers |
Method | Wombo Dream via Wombot |
Image count | 793 |
Dataset download | 256, 512, 1024 |
Samples |
Model: 256 px
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
68 kimg Download .pkl |
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12 kimg Download .pkl |
3. Alien with Sunglasses
Dataset
Name | Alien Sunglasses |
Method | Wombo Dream via Wombot |
Image count | 1600 |
Dataset download | 256, 512, 1024 |
Samples |
Model: 256 px
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
38 kimg Download .pkl |
4. forest daemons
Dataset
Name | forest daemons |
Method | Wombo Dream via Wombot |
Image count | 794 |
Dataset download | 256, 512, 1024 |
Samples |
Model: 256 px
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
18 kimg Download .pkl |
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03 kimg Download .pkl |
5. third eye watching you
Dataset
Name | third eye watching you |
Method | Wombo Dream via Wombot |
Image count | 1363 |
Dataset download | 256, 512, 1024 |
Samples |
Model: coming soon ...
coming soon ...
6. mars spaceport
Dataset
Name | mars spaceport |
Method | Wombo Dream via Wombot |
Image count | 710 |
Dataset download | 256, 512, 1024 |
Samples |
Model: coming soon ...
coming soon ...
7. scifi city
Dataset
Name | scifi city |
Method | Wombo Dream via Wombot |
Image count | 1245 |
Dataset download | 256, 512, 1024 |
Samples |
Model: 256 px
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
210 kimg Download .pkl |
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018 kimg Download .pkl |
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013 kimg Download .pkl |
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008 kimg Download .pkl |
8. scifi spaceship
Dataset
Name | scifi spaceship |
Method | Wombo Dream via Wombot |
Image count | 1108 |
Dataset download | 256, 512, 1024 |
Samples |
Model: 256
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
168 kimg Download .pkl |
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128 kimg Download .pkl |
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13 kimg Download .pkl |
9. yellow comic alien
Dataset
Name | yellow comic alien |
Method | Wombo Dream via Wombot |
Image count | 3984 |
Dataset download | 256, 512, 1024 |
Samples |
Model 256x256
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
19 kimg Download .pkl |
Model 512x512
Method | stylegan3-t, Transfer learning from affhq |
Resolution | 512x512 |
236 kimg Download .pkl |
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004 kimg Download .pkl |
10. eternal planet earth
Dataset
Name | eternal planet earth |
Method | Wombo Dream via Wombot |
Image count | 1323 |
Dataset download | 256, 512, 1024 |
Samples |
Model: coming soon ...
11. mechanical landscape madness
Dataset
Name | mechanical landscape madness |
Method | Wombo Dream via Wombot |
Image count | 1269 |
Dataset download | 256, 512, 1024 |
Samples |
Model 256x256
Method | stylegan3-t, Transfer learning from Landscape256 |
Resolution | 256x256 |
6 kimg Download .pkl |
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5 kimg Download .pkl |
12. two aliens speaking
Dataset
Name | two_aliens_speaking |
Method | Wombo Dream via Wombot |
Image count | 1159 |
Dataset download | 256, 512, 1024 |
Samples |
Model: coming soon...
Usage
We recomend to install the official StyleGAN3 repo to your local machine. then use the "visualizer.py" to start the gui. The GUI is very comfortable to use and allows easy visual inspection of the models, in realtime. (RTX card recomended).
If you have troubles for installing on windows with anaconda, try this edited enviroment.yml file. this works with the current pytorch release (cuda11).
Alternatively you may use a colab notebook to generate images/videos from the model. Just copy the links from this page to your favorite colab notebook.
Here is a basic notebook, pre-configured for many of our models:
Progress
- prepare all datasets in resolutions 256, 512, 1024
- create a colab notebook for model testing
- train some datasets in 256
- train some datasets in 512
- train some datasets in 1024
- create multi domain datasets and models with style mixing
Contribution
If you do continue training on a model, or train a dataset in a high resolution, it would be great to include that in this list.
(please send me a link to your .pkl file in the "issues" tab)
Also, if you made some images or videos you like to share - we would love to see your work! put everything in the issues...
License
You are welcomed to use all files for your own purposes. please include a link to this repo in your work. Thank you.
(Terms and Conditions of Wombo, Nvidia and other contributors have to be considered seperately when doing commercial projects.)