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into ec902046f6
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@ -13,6 +13,7 @@ import numpy as np
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import torch
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import torch.cuda.amp as amp
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import torch.distributed as dist
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import torchvision
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import torchvision.transforms.functional as TF
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from tqdm import tqdm
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@ -211,7 +212,12 @@ class WanFLF2V:
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round(last_frame_size[1] * last_frame_resize_ratio),
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]
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# 2. center crop
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last_frame = TF.center_crop(last_frame, last_frame_size)
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transform = torchvision.transforms.Compose([
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torchvision.transforms.Resize((last_frame_size[0], last_frame_size[1])),
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torchvision.transforms.CenterCrop((first_frame_size[0], first_frame_size[1]))
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])
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last_frame = transform(last_frame)
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max_seq_len = ((F - 1) // self.vae_stride[0] + 1) * lat_h * lat_w // (
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self.patch_size[1] * self.patch_size[2])
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