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Functions576 in github.com/Robbyant/lingbot-world

⨍ Functions 576◇ Types & classes 116
Methodcross_attn_ffn
(x, context, context_lens, e)
wan/modules/animate/model_animate.py:219
Methodcross_attn_ffn
(x, context, context_lens, e)
wan/modules/s2v/model_s2v.py:225
Methodcustom_forward
(*inputs, **kwargs)
wan/modules/s2v/model_s2v.py:810
Methodcustom_forward
(*inputs, **kwargs)
wan/modules/s2v/motioner.py:594
Methoddecode
(self, zs)
wan/modules/vae2_2.py:1037
Methoddecode
(self, zs)
wan/modules/vae2_1.py:655
Functiondownload_cosyvoice_model
(model_name, model_path)
wan/utils/utils.py:236
Functiondownload_cosyvoice_repo
(repo_path)
wan/utils/utils.py:228
Functiondraw_aaface_by_meta
(img, meta: AAPoseMeta, threshold=0.5, stick_width_norm=200, draw_hand=False, draw_head=True)
wan/modules/animate/preprocess/human_visualization.py:234
Functiondraw_aanose_by_meta
(img, meta: AAPoseMeta, threshold=0.5, stick_width_norm=100, draw_hand=False)
wan/modules/animate/preprocess/human_visualization.py:242
Methoddraw_aapose
(self, img, threshold=0.5, stick_width_norm=200, draw_hand=True, draw_head=True)
wan/modules/animate/preprocess/pose2d_utils.py:222
Functiondraw_bbox
(img, bbox, color=(255, 0, 0))
wan/modules/animate/preprocess/human_visualization.py:921
Functiondraw_face_kp
Args: img: [H, W, 3] kps: [70, 2]
wan/modules/animate/preprocess/human_visualization.py:1147
Functiondraw_hand_by_meta
(img, meta: AAPoseMeta, threshold=0.5, stick_width_norm=200)
wan/modules/animate/preprocess/human_visualization.py:226
Functiondraw_kp2ds
(img, kp2ds, threshold=0, color=(255, 0, 0), skeleton=None, reverse=False)
wan/modules/animate/preprocess/human_visualization.py:928
Functiondraw_mask
(img, mask, background=0, return_rgba=False)
wan/modules/animate/preprocess/human_visualization.py:1022
Functiondraw_pcd
(pcd_list, save_path=None)
wan/modules/animate/preprocess/human_visualization.py:1032
Functiondraw_skeleten
(meta)
wan/modules/animate/preprocess/human_visualization.py:1061
Functiondraw_skeleten_with_pncc
Args: pncc: [H,W,3] meta: required keys: keypoints_body: [N, 3] keypoints_left_hand, keypoints_right_hand Return: np.
wan/modules/animate/preprocess/human_visualization.py:1085
Methoddtype
(self)
wan/modules/animate/animate_utils.py:63
Methodenc_app
(self, x)
wan/modules/animate/motion_encoder.py:261
Methodenc_motion
(self, x)
wan/modules/animate/motion_encoder.py:265
Methodencode
(self, videos)
wan/modules/vae2_2.py:1023
Methodencode
videos: A list of videos each with shape [C, T, H, W].
wan/modules/vae2_1.py:645
Methodextract_audio_feat
(self, audio_path, return_all_layers=False,
wan/modules/s2v/audio_encoder.py:65
Methodforward
(self, x)
wan/modules/t5.py:46
Methodforward
(self, x)
wan/modules/t5.py:59
Methodforward
x: [B, L1, C]. context: [B, L2, C] or None. mask: [B, L2] or [B, L1, L2] or None.
wan/modules/t5.py:84
Methodforward
(self, x)
wan/modules/t5.py:134
Methodforward
(self, x, mask=None, pos_bias=None)
wan/modules/t5.py:168
Methodforward
(self, x, mask=None, encoder_states=None, enco
wan/modules/t5.py:204
Methodforward
(self, lq, lk)
wan/modules/t5.py:231
Methodforward
(self, ids, mask=None)
wan/modules/t5.py:301
Methodforward
(self, ids, mask=None, encoder_states=None, encoder_mask=None)
wan/modules/t5.py:349
Methodforward
(self, encoder_ids, encoder_mask, decoder_ids, decoder_mask)
wan/modules/t5.py:406
Methodforward
(self, x, cache_x=None)
wan/modules/vae2_2.py:33
Methodforward
(self, x)
wan/modules/vae2_2.py:56
Methodforward
Fix bfloat16 support for nearest neighbor interpolation.
wan/modules/vae2_2.py:63
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_2.py:111
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_2.py:213
Methodforward
(self, x)
wan/modules/vae2_2.py:254
Methodforward
(self, x: torch.Tensor)
wan/modules/vae2_2.py:334
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_2.py:446
Methodforward
(self, x, feat_cache=None, feat_idx=[0], first_chunk=False)
wan/modules/vae2_2.py:488
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_2.py:558
Methodforward
(self, x, feat_cache=None, feat_idx=[0], first_chunk=False)
wan/modules/vae2_2.py:671
Methodforward
(self, x, scale=[0, 1])
wan/modules/vae2_2.py:777
Methodforward
r""" Args: x(Tensor): Shape [B, L, num_heads, C / num_heads] grid_sizes(Tensor): Shape [B, 3], the second dimension co
wan/modules/model_fast.py:80
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] context(Tensor): Shape [B, L2, C] context_lens(Tensor): Shape [B]
wan/modules/model_fast.py:172
Methodforward
r""" Args: x(Tensor): Shape [B, L, C] e(Tensor): Shape [B, F, 6, C] grid_sizes(Tensor): Shape [B, 3], the
wan/modules/model_fast.py:261
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] e(Tensor): Shape [B, L1, C]
wan/modules/model_fast.py:341
Methodforward
r""" Run the diffusion model with kv caching. See Algorithm 2 of CausVid paper https://arxiv.org/abs/2412.07772 for details. T
wan/modules/model_fast.py:492
Methodforward
(self, x, cache_x=None)
wan/modules/vae2_1.py:27
Methodforward
(self, x)
wan/modules/vae2_1.py:50
Methodforward
Fix bfloat16 support for nearest neighbor interpolation.
wan/modules/vae2_1.py:58
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_1.py:100
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_1.py:201
Methodforward
(self, x)
wan/modules/vae2_1.py:239
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_1.py:317
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
wan/modules/vae2_1.py:422
Methodforward
r""" Args: x(Tensor): Shape [B, L, C]
wan/modules/model.py:78
Methodforward
r""" Args: x(Tensor): Shape [B, L, C]
wan/modules/model.py:94
Methodforward
r""" Args: x(Tensor): Shape [B, L, num_heads, C / num_heads] seq_lens(Tensor): Shape [B] grid_sizes(Tensor
wan/modules/model.py:127
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] context(Tensor): Shape [B, L2, C] context_lens(Tensor): Shape [B]
wan/modules/model.py:161
Methodforward
r""" Args: x(Tensor): Shape [B, L, C] e(Tensor): Shape [B, L1, 6, C] seq_lens(Tensor): Shape [B], length o
wan/modules/model.py:225
Methodforward
r""" Forward pass through the diffusion model Args: x (List[Tensor]): List of input video tensors, each w
wan/modules/model.py:436
Methodforward
(self, x)
wan/modules/animate/clip.py:43
Methodforward
(self, x)
wan/modules/animate/clip.py:49
Methodforward
x: [B, L, C].
wan/modules/animate/clip.py:74
Methodforward
(self, x)
wan/modules/animate/clip.py:146
Methodforward
x: [B, L, C].
wan/modules/animate/clip.py:186
Methodforward
(self, x, interpolation=False, use_31_block=False)
wan/modules/animate/clip.py:279
Methodforward
(self, ids)
wan/modules/animate/clip.py:315
Methodforward
imgs: [B, 3, H, W] of torch.float32. - mean: [0.48145466, 0.4578275, 0.40821073] - std: [0.26862954, 0.2613025
wan/modules/animate/clip.py:406
Methodforward
(self, x)
wan/modules/animate/face_blocks.py:123
Methodforward
(self, x)
wan/modules/animate/face_blocks.py:150
Methodforward
Forward pass through the RMSNorm layer. Args: x (torch.Tensor): The input tensor. Returns: torch.Te
wan/modules/animate/face_blocks.py:220
Methodforward
( self, x: torch.Tensor, motion_embed: torch.Tensor, idx: int, freqs_c
wan/modules/animate/face_blocks.py:284
Methodforward
( self, x: torch.Tensor, motion_vec: torch.Tensor, motion_mask: Optional[torch
wan/modules/animate/face_blocks.py:334
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:58
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:76
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:86
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:105
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:132
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:195
Methodforward
(self, x)
wan/modules/animate/motion_encoder.py:235
Methodforward
(self, input)
wan/modules/animate/motion_encoder.py:276
Methodforward
Args: x(Tensor): Shape [B, L1, C] e(Tensor): Shape [B, L1, C]
wan/modules/animate/model_animate.py:41
Methodforward
Args: x(Tensor): Shape [B, L, num_heads, C / num_heads] seq_lens(Tensor): Shape [B] grid_sizes(Tensor): S
wan/modules/animate/model_animate.py:56
Methodforward
x: [B, L1, C]. context: [B, L2, C]. context_lens: [B].
wan/modules/animate/model_animate.py:112
Methodforward
Args: x(Tensor): Shape [B, L, C] e(Tensor): Shape [B, L1, 6, C] seq_lens(Tensor): Shape [B], length of ea
wan/modules/animate/model_animate.py:188
Methodforward
(self, image_embeds)
wan/modules/animate/model_animate.py:242
Methodforward
( self, x, t, clip_fea, context, seq_len, y=None,
wan/modules/animate/model_animate.py:372
Methodforward
x: [B, L, C].
wan/modules/animate/xlm_roberta.py:27
Methodforward
(self, x, mask)
wan/modules/animate/xlm_roberta.py:66
Methodforward
ids: [B, L] of torch.LongTensor.
wan/modules/animate/xlm_roberta.py:118
Methodforward
(self, img, center, scale, **kwargs)
wan/modules/animate/preprocess/pose2d.py:313
Methodforward
Args: x(Tensor): Shape [B, L1, C] e(Tensor): Shape [B, L1, C]
wan/modules/s2v/model_s2v.py:136
Methodforward
Args: x(Tensor): Shape [B, L, num_heads, C / num_heads] seq_lens(Tensor): Shape [B] grid_sizes(Tensor): S
wan/modules/s2v/model_s2v.py:151
Methodforward
(self, x, e, seq_lens, grid_sizes, freqs, context, context_lens)
wan/modules/s2v/model_s2v.py:198
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