• 10/19/24 6:09 pm
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This AI image generator is a neural network that takes a set 4 of pieces of information and creates brand new information similar to and based on the data presented within the dataset
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My guess on how it's working based on what I could decipher is:
1. You first clone the input images up above the room
2. You replace the air with oak wood
3. You clone it again while remove the white concrete and replace it with air
4. You clone it AGAIN somehow making versions of the images where some of the air is filled with oak again
5. You clone it once more then merge the 4 images into some sort of mask
6. You get the drill: We clone it, then you basically clean it up. Replacing air with white concrete, and oak with air
7. You clone that back down to the output location above the dataset of images
I would have liked to know how you did the masking / decided which blocks to keep and which to not however. If you could/have the time to PLEASE explain how your machine actually works so many of us coders*/command-blockers/redstoners are curious. *Me
I was soo curious in fact that I made my own "AI" image generator (though using randomness instead of whatever masking technique you used)
And yes I know this is a long paragraph but you should have damn explained :<