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@ -659,18 +659,19 @@ class WanTrackToVideo:
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zero_frames = torch.zeros(3, 81 - 1, height, width)
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zero_frames = torch.zeros(3, 81 - 1, height, width)
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start_image = start_image.permute(3,0,1,2) * 2 - 1 # C, T, H, W
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start_image = start_image.permute(3,0,1,2) * 2 - 1 # C, T, H, W
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res = torch.concat([
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res = torch.concat([
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start_image.to(start_image.device),
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start_image.to(start_image.device),
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zero_frames
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zero_frames
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],
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],
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dim=1).to(start_image.device)
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dim=1).to(start_image.device)
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print("start vid:", res.permute(1,2,3,0)[:, :, :, :3])
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y = vae.encode(
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y = vae.encode(
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res.permute(1,2,3,0)[:, :, :, :3] # T, H, W, C
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res.permute(1,2,3,0)[:, :, :, :3] # T, H, W, C
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)[0]
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)[0]
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y = torch.concat([msk, y])
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y = torch.concat([msk, y])
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print('?')
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motion_patched = patch_motion(processed_tracks, y, temperature, (4, 16), topk)[None]
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motion_patched = patch_motion(processed_tracks, y, temperature, (4, 16), topk)[None]
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mask, video = motion_patched[:, 0:4], motion_patched[:, 4:]
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mask, video = motion_patched[:, 0:4], motion_patched[:, 4:]
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# Add motion features to conditioning
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# Add motion features to conditioning
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