i am using Variational autoencoder, feature and pixel discriminator.
batch size is 96.
model:
  vae:
    encoder: [['conv', 64,4,2,1,'bn','LeakyReLU'],
              ['conv', 128,4,2,1,'bn','LeakyReLU'],
              ['conv', 256,4,2,1,'bn','LeakyReLU'],
              ['conv', 512,4,2,1,'bn','LeakyReLU'],
              ['conv', 1024,4,2,1,'bn','LeakyReLU'],
              ['conv', 1024,4,2,1,  '','']
             ]
    code_dim: 3

    decoder: [['conv', 1024,4,2,1,'bn','LeakyReLU',True],
              ['conv', 512,4,2,1,'bn','LeakyReLU',False],
              ['conv', 256,4,2,1,'bn','LeakyReLU',False],
              ['conv', 128,4,2,1,'bn','LeakyReLU',False],
              ['conv', 64,4,2,1,'bn','LeakyReLU',False],
              ['conv',  3,4,2,1,  '','Tanh',False]
             ]
    lr: 0.0001
    betas: [0.5,0.999]

 D_feat:
    dnn: [['fc', 512, '', 'LeakyReLU',0],
          ['fc', 256, '', 'LeakyReLU',0],
          ['fc', 128, '', 'LeakyReLU',0],
          ['fc', 64, '', 'LeakyReLU',0],
          ['fc', 3, '', '', 0]
         ]
    lr: 0.0001
    betas: [0.5,0.999]

 D_pix:
    dnn: [['conv', 16, 4,2,1,'','LeakyReLU'],
          ['conv', 32,4,2,1,'','LeakyReLU'],
          ['conv', 64,4,2,1,'','LeakyReLU'],
          ['conv', 128,4,2,1,'','LeakyReLU'],
          ['conv', 256,4,2,1,'','LeakyReLU'],
          ['fc', 512, '', 'LeakyReLU',0],
          ['fc', [1,3], '', '',0]
         ]
    lr: 0.0001
    betas: [0.5,0.999]

This architecture is designed for image size 64, now i want to work with this architecture having image size 256, so what changes i need to do in its parameters?