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Functions524 in github.com/bytedance/DreamID-V

Methodforward
(self, lq, lk)
dreamidv_wan_faster/modules/t5.py:233
Methodforward
(self, ids, mask=None)
dreamidv_wan_faster/modules/t5.py:303
Methodforward
(self, ids, mask=None, encoder_states=None, encoder_mask=None)
dreamidv_wan_faster/modules/t5.py:351
Methodforward
(self, encoder_ids, encoder_mask, decoder_ids, decoder_mask)
dreamidv_wan_faster/modules/t5.py:408
Methodforward
(self, x, cache_x=None)
dreamidv_wan_faster/modules/vae.py:28
Methodforward
(self, x)
dreamidv_wan_faster/modules/vae.py:51
Methodforward
Fix bfloat16 support for nearest neighbor interpolation.
dreamidv_wan_faster/modules/vae.py:59
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan_faster/modules/vae.py:101
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan_faster/modules/vae.py:202
Methodforward
(self, x)
dreamidv_wan_faster/modules/vae.py:240
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan_faster/modules/vae.py:318
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan_faster/modules/vae.py:423
Methodforward
(self, x)
dreamidv_wan_faster/modules/projector.py:32
Methodforward
x: [B, L, C].
dreamidv_wan_faster/modules/xlm_roberta.py:27
Methodforward
(self, x, mask)
dreamidv_wan_faster/modules/xlm_roberta.py:66
Methodforward
ids: [B, L] of torch.LongTensor.
dreamidv_wan_faster/modules/xlm_roberta.py:118
Methodforward
r""" Args: x(Tensor): Shape [B, L, C]
dreamidv_wan_faster/modules/model.py:79
Methodforward
r""" Args: x(Tensor): Shape [B, L, C]
dreamidv_wan_faster/modules/model.py:95
Methodforward
r""" Args: x(Tensor): Shape [B, L, num_heads, C / num_heads] seq_lens(Tensor): Shape [B] grid_sizes(Tensor
dreamidv_wan_faster/modules/model.py:128
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] context(Tensor): Shape [B, L2, C] context_lens(Tensor): Shape [B]
dreamidv_wan_faster/modules/model.py:162
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] context(Tensor): Shape [B, L2, C] context_lens(Tensor): Shape [B]
dreamidv_wan_faster/modules/model.py:200
Methodforward
r""" Args: x(Tensor): Shape [B, L, C] e(Tensor): Shape [B, 6, C] seq_lens(Tensor): Shape [B], length of ea
dreamidv_wan_faster/modules/model.py:271
Methodforward
(self, image_embeds)
dreamidv_wan_faster/modules/model.py:353
Methodforward
r""" Forward pass through the diffusion model Args: x (List[Tensor]): List of input video tensors, each w
dreamidv_wan_faster/modules/model.py:480
Methodforward
(self, x)
dreamidv_wan/modules/clip.py:43
Methodforward
(self, x)
dreamidv_wan/modules/clip.py:49
Methodforward
x: [B, L, C].
dreamidv_wan/modules/clip.py:74
Methodforward
(self, x)
dreamidv_wan/modules/clip.py:146
Methodforward
x: [B, L, C].
dreamidv_wan/modules/clip.py:186
Methodforward
(self, x, interpolation=False, use_31_block=False)
dreamidv_wan/modules/clip.py:279
Methodforward
(self, ids)
dreamidv_wan/modules/clip.py:315
Methodforward
imgs: [B, 3, H, W] of torch.float32. - mean: [0.48145466, 0.4578275, 0.40821073] - std: [0.26862954, 0.2613025
dreamidv_wan/modules/clip.py:406
Methodforward
(self, x)
dreamidv_wan/modules/t5.py:48
Methodforward
(self, x)
dreamidv_wan/modules/t5.py:61
Methodforward
x: [B, L1, C]. context: [B, L2, C] or None. mask: [B, L2] or [B, L1, L2] or None.
dreamidv_wan/modules/t5.py:86
Methodforward
(self, x)
dreamidv_wan/modules/t5.py:136
Methodforward
(self, x, mask=None, pos_bias=None)
dreamidv_wan/modules/t5.py:170
Methodforward
(self, x, mask=None, encoder_states=None, enco
dreamidv_wan/modules/t5.py:206
Methodforward
(self, lq, lk)
dreamidv_wan/modules/t5.py:233
Methodforward
(self, ids, mask=None)
dreamidv_wan/modules/t5.py:303
Methodforward
(self, ids, mask=None, encoder_states=None, encoder_mask=None)
dreamidv_wan/modules/t5.py:351
Methodforward
(self, encoder_ids, encoder_mask, decoder_ids, decoder_mask)
dreamidv_wan/modules/t5.py:408
Methodforward
(self, x, cache_x=None)
dreamidv_wan/modules/vae.py:28
Methodforward
(self, x)
dreamidv_wan/modules/vae.py:51
Methodforward
Fix bfloat16 support for nearest neighbor interpolation.
dreamidv_wan/modules/vae.py:59
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan/modules/vae.py:101
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan/modules/vae.py:202
Methodforward
(self, x)
dreamidv_wan/modules/vae.py:240
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan/modules/vae.py:318
Methodforward
(self, x, feat_cache=None, feat_idx=[0])
dreamidv_wan/modules/vae.py:423
Methodforward
( self, vid: torch.Tensor, )
dreamidv_wan/modules/projector.py:63
Methodforward
( self, vid: torch.Tensor, # l c vid_shape: torch.LongTensor, hybrid_paralle
dreamidv_wan/modules/projector.py:77
Methodforward
(self, x)
dreamidv_wan/modules/projector.py:122
Methodforward
x: [B, L, C].
dreamidv_wan/modules/xlm_roberta.py:27
Methodforward
(self, x, mask)
dreamidv_wan/modules/xlm_roberta.py:66
Methodforward
ids: [B, L] of torch.LongTensor.
dreamidv_wan/modules/xlm_roberta.py:118
Methodforward
r""" Args: x(Tensor): Shape [B, L, C]
dreamidv_wan/modules/model.py:79
Methodforward
r""" Args: x(Tensor): Shape [B, L, C]
dreamidv_wan/modules/model.py:95
Methodforward
r""" Args: pose_embedding: [B, L, C], 结构必须与 x 完全一致
dreamidv_wan/modules/model.py:132
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] context(Tensor): Shape [B, L2, C] context_lens(Tensor): Shape [B]
dreamidv_wan/modules/model.py:174
Methodforward
r""" Args: x(Tensor): Shape [B, L1, C] context(Tensor): Shape [B, L2, C] context_lens(Tensor): Shape [B]
dreamidv_wan/modules/model.py:212
Methodforward
r""" Args: x(Tensor): Shape [B, L, C] e(Tensor): Shape [B, 6, C] seq_lens(Tensor): Shape [B], length of ea
dreamidv_wan/modules/model.py:287
Methodforward
(self, image_embeds)
dreamidv_wan/modules/model.py:370
Methodforward
r""" Forward pass through the diffusion model Args: x (List[Tensor]): List of input video tensors, each w
dreamidv_wan/modules/model.py:500
Methodforward
(self, x)
express_adaption/utils.py:20
Methodforward
(self, conditioning)
express_adaption/poseguider.py:58
Methodget_resized_pose_map
(use_body=False, use_face=False, use_hand=False)
pose/extract.py:214
Functionget_sampling_sigmas
(sampling_steps, shift)
dreamidv_wan_faster/utils/fm_solvers.py:22
Functionget_sampling_sigmas
(sampling_steps, shift)
dreamidv_wan/utils/fm_solvers.py:22
FunctionhandDetect
(candidate, subset, oriImg)
pose/dwpose/util.py:157
Methodinit_weight
(self, conv)
dreamidv_wan_faster/modules/vae.py:162
Methodinit_weight
(self, conv)
dreamidv_wan/modules/vae.py:162
Methodinit_weight2
(self, conv)
dreamidv_wan_faster/modules/vae.py:174
Methodinit_weight2
(self, conv)
dreamidv_wan/modules/vae.py:174
Functioninit_weights
(m)
dreamidv_wan_faster/modules/t5.py:27
Functioninit_weights
(m)
dreamidv_wan/modules/t5.py:27
Methodinitialize_weights
(self)
dreamidv_wan/modules/projector.py:58
Methodis_image_or_video_by_extension
(file_path)
dreamidv_wan_faster/wan_swapface.py:147
Methodis_image_or_video_by_extension
(file_path)
dreamidv_wan/wan_swapface.py:153
Methodnoop_no_sync
()
dreamidv_wan_faster/wan_swapface.py:402
Methodnoop_no_sync
()
dreamidv_wan/wan_swapface.py:440
Functionnpmax
(array)
pose/dwpose/util.py:294
FunctionpadRightDownCorner
(img, stride, padValue)
pose/dwpose/util.py:40
Methodparam_groups
(self)
dreamidv_wan_faster/modules/clip.py:418
Methodparam_groups
(self)
dreamidv_wan/modules/clip.py:418
Functionprocess_vision_info
( conversations: list[dict] | list[list[dict]], )
dreamidv_wan_faster/utils/qwen_vl_utils.py:344
Functionprocess_vision_info
( conversations: list[dict] | list[list[dict]], )
dreamidv_wan/utils/qwen_vl_utils.py:344
Functionproject_points
(points_3d, transformation_matrix, pose_vectors, image_shape)
express_adaption/media_pipe/pose_util.py:41
Methodqkv_fn
(x)
dreamidv_wan_faster/modules/model.py:139
Methodqkv_fn
(x)
dreamidv_wan/modules/model.py:139
Functionr
(t,e)
assets/bootstrap.min.js:6
Functionretrieve_timesteps
( scheduler, num_inference_steps=None, device=None, timesteps=None, sigmas=None, **kwa
dreamidv_wan_faster/utils/fm_solvers.py:29
Functionretrieve_timesteps
( scheduler, num_inference_steps=None, device=None, timesteps=None, sigmas=None, **kwa
dreamidv_wan/utils/fm_solvers.py:29
Methodsample
(self, imgs, deterministic=False)
dreamidv_wan_faster/modules/vae.py:575
Methodsample
(self, imgs, deterministic=False)
dreamidv_wan/modules/vae.py:575
Methodscale_iris
(iris_ids, eye_ids)
express_adaption/media_pipe/__init__.py:117
Methodscale_iris
(iris_ids, eye_ids)
express_adaption/media_pipe/__init__.py:203
Methodscale_model_input
Ensures interchangeability with schedulers that need to scale the denoising model input depending on the current timestep. Ar
dreamidv_wan_faster/utils/fm_solvers.py:800
Methodscale_model_input
Ensures interchangeability with schedulers that need to scale the denoising model input depending on the current timestep. A
dreamidv_wan_faster/utils/fm_solvers_unipc.py:741
Methodscale_model_input
Ensures interchangeability with schedulers that need to scale the denoising model input depending on the current timestep. Ar
dreamidv_wan/utils/fm_solvers.py:800
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