Using seed: 12267 [Tiled VAE]: input_size: torch.Size([1, 3, 2496, 1664]), tile_size: 512, padding: 32 [Tiled VAE]: split to 5x4 = 20 tiles. Optimal tile size 416x512, original tile size 512x512 [Tiled VAE]: Executing Encoder Task Queue: 0%| | 0/1820 [00:00. at 0x7e891d8c76a0>), ('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 0x7e88fa8e3b00>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('attn', . at 0x7e866c591580>), ['add_res', None]] [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1845 [00:00. at 0x7e866c591300>), ('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 0x7e866c591580>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('attn', . at 0x7e866c590b80>), ['add_res', None]] [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1845 [00:00. at 0x7e866c590b80>), ('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 0x7e866c591580>), ('pre_norm', GroupNorm(32, 512, eps=1e-06, affine=True)), ('attn', . at 0x7e866c591300>), ['add_res', None]] [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1845 [00:00