Update nodes_sampler.py
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+9
-6
@@ -1351,12 +1351,15 @@ class WanVideoSampler:
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z = z * c_in
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timestep = c_noise
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self.noise_front_pad_num = image_cond_input.shape[1] - z.shape[1]
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if self.noise_front_pad_num > 0:
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pad = torch.zeros((z.shape[0], self.noise_front_pad_num, z.shape[2], z.shape[3]), dtype=z.dtype, device=z.device)
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z = torch.concat([pad, z], dim=1)
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nonlocal seq_len
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seq_len = math.ceil((z.shape[2] * z.shape[3]) / 4 * z.shape[1])
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if image_cond is not None:
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self.noise_front_pad_num = image_cond_input.shape[1] - z.shape[1]
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if self.noise_front_pad_num > 0:
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pad = torch.zeros((z.shape[0], self.noise_front_pad_num, z.shape[2], z.shape[3]), dtype=z.dtype, device=z.device)
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z = torch.concat([pad, z], dim=1)
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nonlocal seq_len
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seq_len = math.ceil((z.shape[2] * z.shape[3]) / 4 * z.shape[1])
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else:
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self.noise_front_pad_num = 0
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base_params = {
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'x': [z], # latent
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