Functions — github.com/Tencent-Hunyuan/HunyuanPortrait

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Functions229 in github.com/Tencent-Hunyuan/HunyuanPortrait

⨍ Functions 229◇ Types & classes 61

Method__init__

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, expansion = 4)

src/models/condition/coarse_motion.py:31

Method__init__

(self, num_classes=1000, expansion=1)

src/models/condition/coarse_motion.py:69

Method__init__

(self, block, layers, num_classes=1000, groups=1, base_width=64, expansion=4)

src/models/condition/coarse_motion.py:106

Method__init__

(self, out_feat_dim=1024)

src/models/condition/coarse_motion.py:159

Method__init__

(self, hidden_size, cross_attention_dim=None, num_tokens=(4,), scale=1.0)

src/models/condition/attention_processor.py:202

Method__init__

(self, hidden_size, cross_attention_dim=None, num_tokens=(4,), scale=1.0)

src/models/condition/attention_processor.py:400

Method__init__

( self, d_model: int, n_heads: int, intensity_embedding_dim: Optional[int] = None )

src/models/condition/refine_motion.py:38

Method__init__

( self, width: int = 768, layers: int = 6, heads: int = 8, num_latents

src/models/condition/refine_motion.py:78

Method__init__

( self, input_dim=512, output_dim=1024, num_queries=64, intensity_embe

src/models/condition/refine_motion.py:130

Method__init__

( self, sample_size: Optional[int] = None, in_channels: int = 8, out_channels:

src/models/condition/unet_3d_svd_condition_ip.py:71

Method__init__

( self, alpha: float, merge_strategy: str = "learned_with_images", switch_spat

src/models/condition/unet_3d_blocks.py:126

Method__init__

( self, num_attention_heads: int = 16, attention_head_dim: int = 88, in_channe

src/models/condition/unet_3d_blocks.py:210

Method__init__

( self, in_channels: int, temb_channels: int, dropout: float = 0.0, nu

src/models/condition/unet_3d_blocks.py:684

Method__init__

( self, in_channels: int, out_channels: int, temb_channels: int, dropo

src/models/condition/unet_3d_blocks.py:818

Method__init__

( self, in_channels: int, out_channels: int, temb_channels: int, dropo

src/models/condition/unet_3d_blocks.py:960

Method__init__

( self, in_channels: int, out_channels: int, prev_output_channel: int,

src/models/condition/unet_3d_blocks.py:1049

Method__init__

( self, in_channels: int, prev_output_channel: int, out_channels: int,

src/models/condition/unet_3d_blocks.py:1206

Method__init__

( self, in_channels: int, out_channels: int, temb_channels: int, dropo

src/models/condition/unet_3d_blocks.py:1309

Method__init__

( self, in_channels: int, out_channels: int, temb_channels: int, dropo

src/models/condition/unet_3d_blocks.py:1434

Method__init__

( self, in_channels: int, out_channels: int, prev_output_channel: int,

src/models/condition/unet_3d_blocks.py:1624

Method__init__

( self, in_channels: int, prev_output_channel: int, out_channels: int,

src/models/condition/unet_3d_blocks.py:1823

Method__init__

( self, in_channels: int, temb_channels: int, dropout: float = 0.0, nu

src/models/condition/unet_3d_blocks.py:1966

Method__init__

( self, in_channels: int, out_channels: int, attention_head_dim: int = 512,

src/models/condition/unet_3d_blocks.py:2142

Method__init__

( self, in_channels: int, out_channels: int, num_layers: int = 1, add_

src/models/condition/unet_3d_blocks.py:2205

Method__init__

( self, in_channels: int, temb_channels: int, num_layers: int = 1, tra

src/models/condition/unet_3d_blocks.py:2255

Method__init__

( self, in_channels: int, out_channels: int, temb_channels: int, num_l

src/models/condition/unet_3d_blocks.py:2367

Method__init__

( self, in_channels: int, out_channels: int, temb_channels: int, num_l

src/models/condition/unet_3d_blocks.py:2457

Method__init__

( self, in_channels: int, prev_output_channel: int, out_channels: int,

src/models/condition/unet_3d_blocks.py:2582

Method__init__

( self, in_channels: int, out_channels: int, prev_output_channel: int,

src/models/condition/unet_3d_blocks.py:2671

Method__init__

( self, conditioning_embedding_channels: int, conditioning_channels: int = 3,

src/models/condition/pose_guider.py:28

Method_init_weights

(self, m)

src/models/dinov2/layers/dino_head.py:30

Function_resize_with_antialiasing

(input, size, interpolation="bicubic", align_corners=True)

src/pipelines/hunyuan_svd_pipeline.py:653

Method_set_gradient_checkpointing

(self, module, value=False)

src/models/condition/unet_3d_svd_condition_ip.py:323

Methodattn_processors

r""" Returns: `dict` of attention processors: A dictionary containing all attention processors used in the model with

src/models/condition/unet_3d_svd_condition_ip.py:249

Methodattn_residual_func

(x: Tensor)

src/models/dinov2/layers/block.py:200

Methodattn_residual_func

(x: Tensor, attn_bias=None)

src/models/dinov2/layers/block.py:336

Functionbuild_model_from_cfg

(cfg, only_teacher=False)

src/models/dinov2/models/__init__.py:42

Methodcreate_custom_forward

(module)

src/models/condition/unet_3d_blocks.py:1400

Methodcreate_custom_forward

(module, return_dict=None)

src/models/condition/unet_3d_blocks.py:1569

Methodcreate_custom_forward

(module, return_dict=None)

src/models/condition/unet_3d_blocks.py:1776

Methodcreate_custom_forward

(module)

src/models/condition/unet_3d_blocks.py:1936

Methodcreate_custom_forward

(module, return_dict=None)

src/models/condition/unet_3d_blocks.py:2093

Methodcreate_custom_forward

(module, return_dict=None)

src/models/condition/unet_3d_blocks.py:2325

Methodcreate_custom_forward

(module)

src/models/condition/unet_3d_blocks.py:2417

Methodcreate_custom_forward

(module, return_dict=None)

src/models/condition/unet_3d_blocks.py:2531

Methodcreate_custom_forward

(module)

src/models/condition/unet_3d_blocks.py:2635

Methodcreate_custom_forward

(module, return_dict=None)

src/models/condition/unet_3d_blocks.py:2746

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:1401

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:1570

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:1777

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:1937

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:2094

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:2326

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:2418

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:2532

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:2636

Methodcustom_forward

(*inputs)

src/models/condition/unet_3d_blocks.py:2747

Methoddetect

(self, srcimg)

src/dataset/utils.py:136

Methoddo_classifier_free_guidance

(self)

src/pipelines/hunyuan_svd_pipeline.py:288

Methodenable_forward_chunking

Sets the attention processor to use [feed forward chunking](https://huggingface.co/blog/reformer#2-chunked-feed-forward-layers).

src/models/condition/unet_3d_svd_condition_ip.py:328

Methodf

(*args, **kwargs)

src/models/dinov2/models/vision_transformer.py:153

Methodffn_residual_func

(x: Tensor)

src/models/dinov2/layers/block.py:203

Methodffn_residual_func

(x: Tensor)

src/models/dinov2/layers/block.py:339

Methodflops

(self)

src/models/dinov2/layers/patch_embed.py:83

Methodfn_recursive_add_processors

( name: str, module: torch.nn.Module, processors: Dict[str, AttentionProce

src/models/condition/unet_3d_svd_condition_ip.py:258

Methodfn_recursive_attn_processor

(name: str, module: torch.nn.Module, processor)

src/models/condition/unet_3d_svd_condition_ip.py:297

Methodfn_recursive_feed_forward

(module: torch.nn.Module, chunk_size: int, dim: int)

src/models/condition/unet_3d_svd_condition_ip.py:347

Methodforward

(self, x)

src/models/dinov2/layers/drop_path.py:33

Methodforward

(self, x: Tensor)

src/models/dinov2/layers/block.py:50

Methodforward

(self, image_features, id_features, attention_mask=None)

src/models/dinov2/layers/block.py:65

Methodforward

(self, img_features, id_features, num_register_tokens=4)

src/models/dinov2/layers/block.py:124

Methodforward

(self, x_or_x_list, id_features=None)

src/models/dinov2/layers/block.py:382

Methodforward

(self, x)

src/models/dinov2/layers/dino_head.py:36

Methodforward

(self, x: Tensor)

src/models/dinov2/layers/layer_scale.py:26

Methodforward

(self, x: Tensor, attn_bias=None)

src/models/dinov2/layers/attention.py:73

Methodforward

(self, x: Tensor)

src/models/dinov2/layers/mlp.py:34

Methodforward

(self, x: Tensor)

src/models/dinov2/layers/swiglu_ffn.py:30

Methodforward

(self, x: Tensor)

src/models/dinov2/layers/patch_embed.py:68

Methodforward

(self, x)

src/models/dinov2/models/vision_transformer.py:32

Methodforward

(self, x)

src/models/dinov2/models/vision_transformer.py:52

Methodforward

(self, *args, is_training=False, **kwargs)

src/models/dinov2/models/vision_transformer.py:376

Methodforward

(self, x)

src/models/condition/coarse_motion.py:22

Methodforward

(self, x)

src/models/condition/coarse_motion.py:45

Methodforward

(self, x)

src/models/condition/coarse_motion.py:92

Methodforward

(self, x)

src/models/condition/coarse_motion.py:137

Methodforward

:param x: image tensor of shape [batch, channels, height, width] :return:

src/models/condition/coarse_motion.py:163

Methodforward

(self, x)

src/models/condition/coarse_motion.py:177

Methodforward

( self, x: torch.Tensor, intensity_embedding: torch.Tensor )

src/models/condition/refine_motion.py:23

Methodforward

(self, x: torch.Tensor)

src/models/condition/refine_motion.py:33

Methodforward

( self, x: torch.Tensor, latents: torch.Tensor, intensity_embedding: torch.Ten

src/models/condition/refine_motion.py:62

Methodforward

(self, x: torch.Tensor, intensity_embedding: torch.Tensor = None)

src/models/condition/refine_motion.py:113

Methodforward

:param motion_features: [batch_size, temporal, num_tokens, channel]

src/models/condition/refine_motion.py:153

Methodforward

r""" The [`UNetSpatioTemporalConditionModel`] forward method. Args: sample (`torch.FloatTensor`): The noi

src/models/condition/unet_3d_svd_condition_ip.py:357

Methodforward

(self, timesteps)

src/models/condition/unet_3d_blocks.py:103

Methodforward

( self, x_spatial: torch.Tensor, x_temporal: torch.Tensor, image_only_indicato

src/models/condition/unet_3d_blocks.py:177

Methodforward

Args: hidden_states (`torch.FloatTensor` of shape `(batch size, channel, height, width)`): Input hidden_states.

src/models/condition/unet_3d_blocks.py:270

Methodforward

( self, hidden_states: torch.FloatTensor, temb: Optional[torch.FloatTensor] = None,

src/models/condition/unet_3d_blocks.py:785

Methodforward

( self, hidden_states: torch.FloatTensor, temb: Optional[torch.FloatTensor] = None,

src/models/condition/unet_3d_blocks.py:918

Methodforward

( self, hidden_states: torch.FloatTensor, temb: Optional[torch.FloatTensor] = None,

src/models/condition/unet_3d_blocks.py:1025

Methodforward

( self, hidden_states: torch.FloatTensor, res_hidden_states_tuple: Tuple[torch.FloatTe

src/models/condition/unet_3d_blocks.py:1143

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