run cdcgan.py then would output model generator.h5
- download generator.h5 has been trained by me or use your own trained model.
- run generator.py
just change the array by 16 elements you like.
ex: condition=[1,2,3,4,5,6,7,8,9,5,4,3,2,1,0,8]
depend on condition,generator creat the output image.
![img](/Chancing0/EZ-cDCGAN_with-Mnist-Keras/raw/master/images/mnist1.png)