Down the Rabbit Hole
This week I looked at seven different Machine Learning models in Google Colab Notebooks. Four of which I had success with the other three there were a number of errors I couldn’t get past. I’ll show examples of the ones I could get working and the error for the ones I couldn’t.
For a lot of the following work I used seed images generated with a notebook created by Jeramy Torman link:
https://colab.research.google.com/drive/1Zny3nZwzkGqzVd-PBQaEK48w9HC2SaL_?usp=sharing
LOOKING GLASS V1.1
First up we have Looking Glass, notebook link:
https://colab.research.google.com/drive/11vdS9dpcZz2Q2efkOjcwyax4oob6N40G
This uses both an input image and input text to generate multiple images file. There weren’t many parameters to play with but the input image and text made major differences in the output image. You can adjust the number of training epochs to change the similarity between images.
Trial #1
Flavor Text: Blood flows from ancient text
Image Name: 01608
Epochs: 50
Images Generated: 9
Image
Output Images
Trial #2
Flavor Text: The void stares back at you
Image Name: 01608
Epochs: 50
Images Generated: 9
Image
Output Images
Trial #3
Flavor Text: The void stares back at you
Image Name: 01625
Epochs: 25
Images Generated: 25
Image
Output Images
Trial #4
Flavor Text: The void stares back at you.
Image Name: 07114
Epochs: 25
Images Generated: 25
Image
Output Images
Trial #5
Flavor Text: Enemy of mine the omega.
Image Name: Day7of50
Epochs: 25
Images Generated: 25
Image
Output Images
Trial #6
Flavor Text: Collapsed across time and space.
Image Name: Day7of50
Epochs: 25
Images Generated: 9
I used the blend feature for this set, 50 additional images were used to create more variation across the output images
Image
Output Images
FLESH DIGRESSIONS
For the next set of experiments I used the “Flesh Digressions” colab notebook link:
https://colab.research.google.com/github/dvschultz/ml-art-colabs/blob/master/flesh_digressions.ipynb
I produced three different video outputs using three different .pkl files they can be found at the link below.
https://drive.google.com/drive/folders/1TtgUHAHH6mdXHeO12wQWWp7_Ev4VLxLn?usp=sharing
NEURAL CELLULAR AUTOMATION
Next up is Neural Cellular Automation colab notebook link
I used the following image as an input
Output Video
DISCO DIFFUSION
I also tried a purely text to image model called “disco-diffusion”.
my input was the following:
“I’ve been crawling on my belly” Tool Lyric
“I think drugs have done some good things for us” Bill Hicks Quote
“prayed like a martyr dusk till dawn” Tool Lyric
“somniferous almond eyes” Tool Lyric
“blue color scheme” Descriptor
Output Image
I had the following errors for a few notebooks.
Deep Dream
Lucid Style Transfer
IllusTrip
I didn’t spent too much time trying to figure out the issues since there are so many notebooks to try. There are a few that I really want to get going like the illstrip and lucid style transfer.