Method__init__(self,
dim=128,
z_dim=4,
dim_mult=[1, 2, 4, 4],
dreamidv_wan/modules/vae.py:267
Method__init__(self,
dim=128,
z_dim=4,
dim_mult=[1, 2, 4, 4],
dreamidv_wan/modules/vae.py:371
Method__init__(self,
dim=128,
z_dim=4,
dim_mult=[1, 2, 4, 4],
dreamidv_wan/modules/vae.py:485
Method__init__(self, cin=14, cout=512, vid_dim=1536, patch_size = [1,2,2] )
dreamidv_wan/modules/projector.py:101
Functionattention(
q,
k,
v,
q_lens=None,
k_lens=None,
dropout_p=0.,
softmax_scale=None,
q_scale
dreamidv_wan_faster/modules/attention.py:133
Functionattention(
q,
k,
v,
q_lens=None,
k_lens=None,
dropout_p=0.,
softmax_scale=None,
q_scale
dreamidv_wan/modules/attention.py:133
Methodextend(self, prompt, system_prompt, seed=-1, *args, **kwargs)
dreamidv_wan_faster/utils/prompt_extend.py:196
Methodextend(self, prompt, system_prompt, seed=-1, *args, **kwargs)
dreamidv_wan_faster/utils/prompt_extend.py:366
Methodforward imgs: [B, 3, H, W] of torch.float32. - mean: [0.48145466, 0.4578275, 0.40821073] - std: [0.26862954, 0.2613025
dreamidv_wan_faster/modules/clip.py:406
Methodforward x: [B, L1, C]. context: [B, L2, C] or None. mask: [B, L2] or [B, L1, L2] or None.
dreamidv_wan_faster/modules/t5.py:86