Skip to content

GAN program that tries to make NFTs from existing ones

License

Notifications You must be signed in to change notification settings

HelloIAmRomain/NFTMaker

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NFT Maker

The aim to this program is to use a Deep Convolutional GAN (Generative Adversarial Network) using Tensorflow.

This program is made possible thanks to another repository: NFTGrabber

How to run?

  • First, download some NFT images:

  • Then use avif_converter.py to convert the images in PNG

  • Finally run gan_2_tf_module.py to run the gan

In an epoch, the discriminator is trained wuth the database, then the generator is trained using the discriminator

At the end of each epoch, an image is saved to the generated_images folder

Updates

For now, the program is made to generate 64x64x3 RGB images. It reshapes the input images with output shape so the inputs can be different.

In the future, the output size can be an argument, or can be chosen to match the input shape.

Author

Romain Dodet

  • Twitter🐦: @Romain_Dodet_

Hope it will be helpful :)

About

GAN program that tries to make NFTs from existing ones

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published