11–20 of 33 posts
There's a fairly active community on Reddit playing with this tech https://www.reddit.com/user/corysama/m/gan_art/
This was truly horrifying, thank you: https://www.reddit.com/r/deepdream/comments/olhjbe/demonic_c...
I found it really interesting that people discovered that you can get improve quality by including strings like "Blender HD", "Unity Engine", "HD Wallpaper".
There's a fairly active community on Reddit playing with this tech https://www.reddit.com/user/corysama/m/gan_art/
This was truly horrifying, thank you: https://www.reddit.com/r/deepdream/comments/olhjbe/demonic_c...
https://twitter.com/trainoferror/status/1412944106372935688?...
Earlier quoted context omitted.
This was truly horrifying, thank you: https://www.reddit.com/r/deepdream/comments/olhjbe/demonic_c...
I ended up making this (NSFW?) one a while back: https://i.imgur.com/TLASiRG.png I found it really interesting that people discovered that you can get improve quality by including strings like "Blender HD", "Unity Engine", "HD Wallpaper".
Earlier quoted context omitted.
> A bit more power: if Colab assigns you a large instance (most people are getting large instances, unless you use it for a very long time), you can make images up to 700x700. Technically you just need a GPU with 16GB VRAM to create larger images, which is every GPU Colab can give except the K80 (which has 12GB VRAM, but still can do 600x600) Your Notebook code appears to do to a VRAM check via nvidia-smi, not an ins…
Does anybody know of the best practice for creating large images (ex 3840x2160) on a single GPU (ex a 2080/3080)? I played with stitching some years ago when all of this stuff was still in its infancy, but wasn't super thrilled with the results as I ended up with seams, now I'm wondering if a common practice has emerged as the techniques have evolved.
Hey, if you're already working with AI-generated art, using another AI isn't unreasonable.
Earlier quoted context omitted.
> A bit more power: if Colab assigns you a large instance (most people are getting large instances, unless you use it for a very long time), you can make images up to 700x700. Technically you just need a GPU with 16GB VRAM to create larger images, which is every GPU Colab can give except the K80 (which has 12GB VRAM, but still can do 600x600) Your Notebook code appears to do to a VRAM check via nvidia-smi, not an ins…
Does anybody know of the best practice for creating large images (ex 3840x2160) on a single GPU (ex a 2080/3080)? I played with stitching some years ago when all of this stuff was still in its infancy, but wasn't super thrilled with the results as I ended up with seams, now I'm wondering if a common practice has emerged as the techniques have evolved.
To make bigger images, I'm currently making composites out of multiple smaller prompts, like gradients or chessboards.
There's a fairly active community on Reddit playing with this tech https://www.reddit.com/user/corysama/m/gan_art/
Turns out this link is actually from colab, a repository of user-generated content hosted at colab.research.google.com.
@dang: if it isn't too unwieldy, maybe colab links could have the 'colab' part added on too? The way it is now led me to think the link led to an official Google Research publication/project.
It’s amazing how much difference choosing the right prompts can make - trending on artstation, by James Gurney (even James Gurney himself got in on it), unreal engine, volumetric lighting etc.
No hyperbole in that this is one of the biggest things to happen in digital art, probably since Photoshop.
Check out some of my creations: https://twitter.com/unltd_dream_co/
I mean, I spent about 5 minutes reading the various inputs and trying to modify them, yet I am baffled as what to do to actually see, or even know what's going on, what the system is producing.
Very frustrating.
