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# Pix2Pix UNet Model
- **Image Size:** 1024
- **Model Type:** big_UNet (1024)
## Model Architecture
UNet(
(encoder): Sequential(
(0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(1): ReLU(inplace=True)
(2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(3): ReLU(inplace=True)
(4): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(5): ReLU(inplace=True)
(6): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(7): ReLU(inplace=True)
(8): Conv2d(512, 1024, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(9): ReLU(inplace=True)
)
(decoder): Sequential(
(0): ConvTranspose2d(1024, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(1): ReLU(inplace=True)
(2): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(3): ReLU(inplace=True)
(4): ConvTranspose2d(256, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(5): ReLU(inplace=True)
(6): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(7): ReLU(inplace=True)
(8): ConvTranspose2d(64, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(9): Tanh()
)
) |