RE: ruDALLE: A Fully-Trained, Accessible, Multi-Billion-Parameter Answer to OpenAI's DALL-E Model (in Russian) [EDIT November 3, 2021]

[kaliyuga]

@dbddv01 @castleberry let me know how it works for you--it's super duper slow on free Colab, and I think it's trying to generate a whole bunch of images. Not sure how to get it to only generate one at a time :(

Comments

[dbddv01]

Hi kaliyuga,
to get one image at a time, you have to modify the loop in the colab accordingly

for top_k, top_p, images_num in [
(128, 0.95, 1),
]:

I just tried it and it produce a picture after 21 minutes (free version) on a 12Gb gpu.
I have to run some other tests but i think here it produces a 128*128 sized picture and upscaled it.
here the result :

Note: the colab use the Malevich model (XL) = 2.6 Gbytes model, i don't think the XXL can run under free Colab, presumably it would go Out of Memory.
I saw on the github another notebook, allowing to put some init images as prompts... Will explore further when i have time.

[kaliyuga]

This worked super well for me!! Thank you so much :)

[castleberry]

I will try and give it a go tomorrow and let you know what i come up with!

[kaliyuga]

Actually, I found a workaround to get three images instead of the huge number you can get with the paid version of Colab--just stop the execution after the first 100% progress bar fills up and then run the visualizer