↓ 1 callersMethodstep(self, model_output, timestep, sample, to_final=False, **kwargs)
OmniAvatar/schedulers/flow_match.py:40
Method__init__(self, module: torch.nn.Linear, offload_dtype, offload_device, onload_dtype, onload_device, computation_dtype,
OmniAvatar/vram_management/layers.py:42
Method__init__(self, num_inference_steps=100, num_train_timesteps=1000, shift=3.0, sigma_max=1.0, sigma_min=0.003/1.002, inv
OmniAvatar/schedulers/flow_match.py:7
Method__init__(self,
dim=128,
z_dim=4,
dim_mult=[1, 2, 4, 4],
OmniAvatar/models/wan_video_vae.py:278
Method__init__(self,
dim=128,
z_dim=4,
dim_mult=[1, 2, 4, 4],
OmniAvatar/models/wan_video_vae.py:381
Method__init__(self,
dim=96,
z_dim=16,
dim_mult=[1, 2, 4, 4],
OmniAvatar/models/wan_video_vae.py:494
Method__init__(
self,
in_channels: int,
patch_size: Union[int, Tuple[int, int, int]],
OmniAvatar/models/audio_pack.py:15
Method__init__(self, has_image_input: bool, dim: int, num_heads: int, ffn_dim: int, eps: float = 1e-6)
OmniAvatar/models/wan_video_dit.py:199
Method__init__(self, dim: int, out_dim: int, patch_size: Tuple[int, int, int], eps: float)
OmniAvatar/models/wan_video_dit.py:244
Method__init__(
self,
dim: int,
in_dim: int,
ffn_dim: int,
out_dim: int,
tex
OmniAvatar/models/wan_video_dit.py:260
Methodcontrol_noise_via_local_prompts(self, prompt_emb_global, prompt_emb_locals, masks, mask_scales, inference_callback, special_kwargs=None, spec
OmniAvatar/base.py:66
Methoddecode(self, hidden_states, device, tiled=False, tile_size=(34, 34), tile_stride=(18, 16))
OmniAvatar/models/wan_video_vae.py:776
Methodencode(self, videos, device, tiled=False, tile_size=(34, 34), tile_stride=(18, 16))
OmniAvatar/models/wan_video_vae.py:758
Methodforward x: [B, L1, C]. context: [B, L2, C] or None. mask: [B, L2] or [B, L1, L2] or None.
OmniAvatar/models/wan_video_text_encoder.py:55