mirror of
https://github.com/Wan-Video/Wan2.1.git
synced 2025-11-06 06:44:12 +00:00
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
|
|
import math
|
|
import types
|
|
from copy import deepcopy
|
|
from einops import rearrange
|
|
from typing import List
|
|
import numpy as np
|
|
import torch
|
|
import torch.cuda.amp as amp
|
|
import torch.nn as nn
|
|
|
|
def after_patch_embedding(self, x: List[torch.Tensor], pose_latents, face_pixel_values):
|
|
pose_latents = self.pose_patch_embedding(pose_latents)
|
|
x[:, :, 1:] += pose_latents
|
|
|
|
b,c,T,h,w = face_pixel_values.shape
|
|
face_pixel_values = rearrange(face_pixel_values, "b c t h w -> (b t) c h w")
|
|
encode_bs = 8
|
|
face_pixel_values_tmp = []
|
|
for i in range(math.ceil(face_pixel_values.shape[0]/encode_bs)):
|
|
face_pixel_values_tmp.append(self.motion_encoder.get_motion(face_pixel_values[i*encode_bs:(i+1)*encode_bs]))
|
|
|
|
motion_vec = torch.cat(face_pixel_values_tmp)
|
|
|
|
motion_vec = rearrange(motion_vec, "(b t) c -> b t c", t=T)
|
|
motion_vec = self.face_encoder(motion_vec)
|
|
|
|
B, L, H, C = motion_vec.shape
|
|
pad_face = torch.zeros(B, 1, H, C).type_as(motion_vec)
|
|
motion_vec = torch.cat([pad_face, motion_vec], dim=1)
|
|
return x, motion_vec
|