Using seed: 46814 [Tiled VAE]: input_size: torch.Size([1, 3, 4352, 4352]), tile_size: 3072, padding: 32 [Tiled VAE]: split to 2x2 = 4 tiles. Optimal tile size 2144x2144, original tile size 3072x3072 [Tiled VAE]: Executing Encoder Task Queue: 0%| | 0/364 [00:00. at 0x72c8f812eb60>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('silu', ), ('conv1', Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('silu', ), ('conv2', Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))), ['add_res', None], ('store_res', . at 0x72c8f812d8a0>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('attn', . at 0x72c8f812e0c0>), ['add_res', None]] [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1107 [00:00. at 0x72c8f812ef20>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('silu', ), ('conv1', Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('silu', ), ('conv2', Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))), ['add_res', None], ('store_res', . at 0x72c8f812e0c0>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('attn', . at 0x72c8f812e200>), ['add_res', None]] [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1107 [00:00. at 0x72c95c5db560>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('silu', ), ('conv1', Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('silu', ), ('conv2', Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))), ['add_res', None], ('store_res', . at 0x72c8f812e2a0>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('attn', . at 0x72c8f812e200>), ['add_res', None]] [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1107 [00:00