Update nodes_sampler.py

This commit is contained in:
kijai
2025-11-08 16:04:55 +02:00
parent a3b2f67337
commit e4a4d22537
+9 -6
View File
@@ -1351,12 +1351,15 @@ class WanVideoSampler:
z = z * c_in
timestep = c_noise
self.noise_front_pad_num = image_cond_input.shape[1] - z.shape[1]
if self.noise_front_pad_num > 0:
pad = torch.zeros((z.shape[0], self.noise_front_pad_num, z.shape[2], z.shape[3]), dtype=z.dtype, device=z.device)
z = torch.concat([pad, z], dim=1)
nonlocal seq_len
seq_len = math.ceil((z.shape[2] * z.shape[3]) / 4 * z.shape[1])
if image_cond is not None:
self.noise_front_pad_num = image_cond_input.shape[1] - z.shape[1]
if self.noise_front_pad_num > 0:
pad = torch.zeros((z.shape[0], self.noise_front_pad_num, z.shape[2], z.shape[3]), dtype=z.dtype, device=z.device)
z = torch.concat([pad, z], dim=1)
nonlocal seq_len
seq_len = math.ceil((z.shape[2] * z.shape[3]) / 4 * z.shape[1])
else:
self.noise_front_pad_num = 0
base_params = {
'x': [z], # latent