I am a big fan of hugging face, but whenever these examples come up, they always seem to be half baked and don’t quite work well, and are not compelling. I think it would behoove them to polish these a little more, in my opinion.

Just rebuilt the app with more examples, so the queue should stay a lot shorter now. This was built using Gradio[0] and is hosted on Spaces[1]. Check out the paper[2] and github repo[3].

[0]: https://github.com/gradio-app/gradio [1]: https://huggingface.co/spaces [2]: http://www.cvlibs.net/publications/Sauer2021NEURIPS.pdf [3]: https://github.com/autonomousvision/projected_gan

For context, this is not the same technique that was used to create the AI-generated Pokemon a couple months ago: https://www.reddit.com/r/pokemon/comments/rgmyxp/i_trained_a...

That used a finetuned ruDALL-E which is not based on a GAN architecture and is much, much slower than a GAN, albeit the generated Pokemon are more coherent. You can play with it (with no queue) on your own Colab Notebook here: https://colab.research.google.com/drive/1A3t2gQofQGeXo5z1BAr...

These are wonderfully low-effort and I love each and every one of them.

Some examples look like they have picked two pokemon and tried to merge them in a very weird way. I'll list what I see so others can compare:

- 0 as Arceus + Shaymin S

- 1 as Lickilicky + Espurr

- 10 as Kirlia + Porygon 2, don't know where the colors are from

- 20 as Shellos + Froslass

- 30 as Roggenrolla/Oddish/Poliwag

- 42 as Garchomp + Trevenant

- I see the Kyurem in 60 but no idea where the tail is from

- 102 as Dragonite + Hitmonlee

Just updated the link again - much faster now (inference down to 0.5s from 9s) Queue will move a lot quicker now.

This makes me want to build a Twitter Bot "Cursed Pocket Monsters"...

How long before game freak uses something like this to create new Pokemon?