Deep Daze Fourier Text-to-Image

More Fascinating Text-to-Image

This time “Deep Daze Fourier” from Vadim Epstein. Code available in this notebook.

Compared to the last Deep Daze that generated washed out and pastel shaded results this Deep Daze creates images with sharp, crisp bright colors.

Sample results

“Shrek eating pizza”

Deep Daze Fourier - Shrek Eating Pizza

Deep Daze Fourier - Shrek Eating Pizza

Deep Daze Fourier - Shrek Eating Pizza

Deep Daze Fourier - Shrek Eating Pizza

“H R Giger”

Deep Daze Fourier - H R Giger

Deep Daze Fourier - H R Giger

Deep Daze Fourier - H R Giger

Deep Daze Fourier - H R Giger

“Freddy Krueger”

Deep Daze Fourier - Freddy Krueger

Deep Daze Fourier - Freddy Krueger

Deep Daze Fourier - Freddy Krueger

Deep Daze Fourier - Freddy Krueger

“Surrealist Homer Simpson”

Deep Daze Fourier - Surrealist Homer Simpson

Deep Daze Fourier - Surrealist Homer Simpson

Deep Daze Fourier - Surrealist Homer Simpson

Deep Daze Fourier - Surrealist Homer Simpson

“rose bush”

Deep Daze Fourier - Rose Bush

Deep Daze Fourier - Rose Bush

Deep Daze Fourier - Rose Bush

Deep Daze Fourier - Rose Bush

Availability

This and the previous Text-to-Image systems I have experimented with (here, here and here) are now supported by a GUI front end in Visions of Chaos. As long as you install these prerequisites and have a decent GPU you will be able to run these systems yourself.

Text-to-Image GUI

For those who love to tinker I have now added a bunch more of the script parameters so you no longer have to edit the Python source code outside Visions of Chaos.

Other Text-to-Image

If you know of any other Text-to-Image systems (with sharable open-source code) then please let me know. All of the Text-to-Image systems I have tested so far all have their own unique behaviors and outputs so I will always be on the lookout for more new variations.

Jason.

4 responses to “Deep Daze Fourier Text-to-Image

  1. Started using Visions of Chaos about a week ago and I’m having heaps of fun with all the machine learning options available from within the program. So let me preface my comment by saying thanks for all the work you’re putting into making things like this available to a wider audience!

    As a heads-up for any other folks trying out Deep Daze Fourier: I’m getting out-of-memory errors on my RTX 3080 Laptop with 16 Gb of VRAM when using the model with an output resolution of 512 x 512, the 256 x 256 setting works fine.So better bring a beast of a GPU with heaps of dedicated VRAM if you prefer to use this one with all of its possibilities 🙂

  2. I would say hang in there if you have smaller GPUs. With only my 6Gb 1060 (stop laughing), I have produced full 512×512 images. I’ve only started playing with the settings but reducing the Siren settings seem to help with memory usage. Not completely sure what I am loosing yet but they are taking about 10-12 minutes each.

    • So back again with some results. If we look at the settings Siren layers, Siren hidden features and Fourier maps while keeping the other settings at their defaults, the following combinations work to create 512×512 images with 6Gb of VRAM.

      32/16/128
      16/32/128
      16/64/64
      32/32/64
      8/128/32

      Each combination produces a different style of image and I can’t say what would be your perfect combination as different text input might work with more color, more detail, more focus etc.

      All good stuff! Thanks for another learning method and a better way to play with the settings.

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