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all 14 comments

[–]Ouhenio 8 points9 points  (8 children)

Here's a notebook with a friendly interface which automatically translates the prompts from English to Russian.

PS: It's still a work in progress.

[–]Wiskkey[S] 0 points1 point  (2 children)

Thank you :). How long does it take to run for you with whatever hardware you were assigned?

P.S. "ruDALL-E Malevich (XL)" is apparently the full name of this model. "ruDALL-E Kandinsky (XXL)" is their bigger model.

[–]Ouhenio 1 point2 points  (1 child)

Thanks!

I believe the speed depends on the top_k and images_num parameters, the lower they are, the faster it generates images. But to be honest, I'm not 100% sure I'm correct.

Edit: it took around 4 minutes to generate an image using a P100, 512 in top_k and 1 in images_num.

[–]Wiskkey[S] 0 points1 point  (1 child)

In case you are interested in implementation, there is a Colab notebook with image prompts.

[–]Ouhenio 2 points3 points  (0 children)

Awesome, thank you!

I'll add it to the to-do list (:

[–]Wiskkey[S] 0 points1 point  (2 children)

I added to a comment to this post with a link to a much faster notebook.

[–]Ouhenio 1 point2 points  (1 child)

Thanks! I just updated my notebook with the faster version of rudalle library.

[–]Wiskkey[S] 0 points1 point  (0 children)

Thanks!

[–]brax-gunn 1 point2 points  (0 children)

Really awesome bro... Damn good

[–]Illustrious_Row_9971 1 point2 points  (1 child)

a huggingface gradio demo here as well that supports english: https://huggingface.co/spaces/anton-l/rudall-e

[–]Wiskkey[S] 0 points1 point  (0 children)

Thank you :). I also added a comment to this post with a link to a much faster Colab notebook.

[–]EnIdiot 0 points1 point  (1 child)

Just now playing with this. Incredible stuff guys. How did you train it?

[–]Wiskkey[S] 0 points1 point  (0 children)

I posted this but I'm not affiliated with the developers.