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Functions214 in github.com/cubiq/PuLID_ComfyUI

⨍ Functions 214◇ Types & classes 51

(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None)

eva_clip/modified_resnet.py:59

(self, layers, output_dim, heads, image_size=224, width=64)

eva_clip/modified_resnet.py:103

(self, bpe_path: str = default_bpe(), special_tokens=None)

eva_clip/tokenizer.py:73

(self, tokenizer_name:str)

eva_clip/tokenizer.py:190

(self, max_size, interpolation=InterpolationMode.BICUBIC, fn='max', fill=0)

eva_clip/transform.py:15

( self, model_name, embed_dim, image_size=224, poo

eva_clip/timm_model.py:33

( self, model_name_or_path: str, output_dim: int, tokenizer_n

eva_clip/hf_model.py:77

(self, *args, **kwargs)

eva_clip/transformer.py:38

(self, dim, init_values=1e-5, inplace=False)

eva_clip/transformer.py:67

(self, prob, exclude_first_token=True)

eva_clip/transformer.py:80

( self, dim, num_heads=8, qkv_bias=True, scaled_co

eva_clip/transformer.py:244

( self, d_model: int, n_head: int, mlp_ratio: float = 4.0,

eva_clip/transformer.py:340

( self, width: int, layers: int, heads: int, mlp_r

eva_clip/transformer.py:390

( self, d_model: int, n_head: int, mlp_ratio: float = 4.0,

eva_clip/transformer.py:444

( self, width: int, layers: int, heads: int, mlp_r

eva_clip/transformer.py:486

( self, image_size: int, patch_size: int, width: int,

eva_clip/transformer.py:521

( self, context_length: int = 77, vocab_size: int = 49408, wid

eva_clip/transformer.py:643

(self, drop_prob=None)

eva_clip/eva_vit_model.py:36

(self, in_features, hidden_features=None, out_features=None, act_layer=nn.SiLU, drop=0., norm

eva_clip/eva_vit_model.py:82

( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., w

eva_clip/eva_vit_model.py:107

(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr

eva_clip/eva_vit_model.py:248

(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768)

eva_clip/eva_vit_model.py:308

(self, window_size, num_heads)

eva_clip/eva_vit_model.py:331

(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dim=768, depth=12, nu

eva_clip/eva_vit_model.py:369

( self, embed_dim: int, vision_cfg: CLIPVisionCfg, text_cfg: C

eva_clip/model.py:271

Function_convert_to_rgb

eva_clip/transform.py:39

Function_convert_weights

eva_clip/model.py:318

Method_init_weights

eva_clip/eva_vit_model.py:461

eva_clip/transformer.py:587

Functionadd_model_config

add model config path or file and update registry

eva_clip/factory.py:58

Methodapply_pulid

(self, model, pulid, eva_clip, face_analysis, image, weight, start_at, end_at, method=None, noise=0.0, fidelit

(ctx, grad_output)

eva_clip/utils.py:319

Functioncreate_model_from_pretrained

( model_name: str, pretrained: str, precision: str = 'fp32', device: Union[str

eva_clip/factory.py:469

Functioncreate_transforms

( model_name: str, pretrained: Optional[str] = None, precision: str = 'fp32',

eva_clip/factory.py:413

Methodextra_repr

eva_clip/eva_vit_model.py:43

(self, image_features, text_features, logit_scale=1.)

eva_clip/loss.py:95

(self, t, start_index = 0)

eva_clip/rope.py:70

(self, t, patch_indices_keep=None)

eva_clip/rope.py:121

(ctx, tensor, rank, world_size)

eva_clip/utils.py:311

(self, x: torch.Tensor)

eva_clip/modified_resnet.py:42

eva_clip/modified_resnet.py:68

eva_clip/modified_resnet.py:173

eva_clip/transform.py:24

eva_clip/timm_model.py:119

(self, x:BaseModelOutput, attention_mask:TensorType)

eva_clip/hf_model.py:46

(self, x:BaseModelOutput, attention_mask:TensorType)

eva_clip/hf_model.py:53

(self, x:BaseModelOutput, attention_mask:TensorType)

eva_clip/hf_model.py:65

(self, x:TensorType)

eva_clip/hf_model.py:213

(self, x: torch.Tensor)

eva_clip/transformer.py:41

(self, x: torch.Tensor)

eva_clip/transformer.py:55

(self, x: torch.Tensor)

eva_clip/transformer.py:62

eva_clip/transformer.py:72

eva_clip/transformer.py:87

(self, x, attn_mask: Optional[torch.Tensor] = None)

eva_clip/transformer.py:195

(self, query: torch.Tensor, key: torch.Tensor, value: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)

eva_clip/transformer.py:286

(self, q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)

eva_clip/transformer.py:384

(self, q: torch.Tensor, k: torch.Tensor = None, v: torch.Tensor = None, attn_mask: Optional[torch.Tensor] = No

eva_clip/transformer.py:432

(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)

eva_clip/transformer.py:480

(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)

eva_clip/transformer.py:511

(self, x: torch.Tensor, return_all_features: bool=False)

eva_clip/transformer.py:611

(self, text, return_all_features: bool=False)

eva_clip/transformer.py:722

eva_clip/eva_vit_model.py:40

eva_clip/eva_vit_model.py:70

eva_clip/eva_vit_model.py:97

(self, x, rel_pos_bias=None, attn_mask=None)

eva_clip/eva_vit_model.py:173

(self, x, rel_pos_bias=None, attn_mask=None)

eva_clip/eva_vit_model.py:287

(self, x, **kwargs)

eva_clip/eva_vit_model.py:320

eva_clip/eva_vit_model.py:358

(self, x, return_all_features=False, return_hidden=False, shuffle=False)

eva_clip/eva_vit_model.py:541

(self, image, text)

eva_clip/model.py:264

(self, image, text)

eva_clip/model.py:309

Methodforward_mlm

(self, input_ids, image_embeds, mlm_probability=0.25)

eva_clip/hf_model.py:177

Methodget_cast_dtype

eva_clip/transformer.py:429

Methodget_cast_dtype

eva_clip/eva_vit_model.py:458

Methodget_classifier

eva_clip/eva_vit_model.py:486

Methodget_num_layers

eva_clip/hf_model.py:242

Methodget_num_layers

eva_clip/transformer.py:600

Methodget_num_layers

eva_clip/transformer.py:711

Methodget_num_layers

eva_clip/eva_vit_model.py:470

Functionget_tokenizer

eva_clip/factory.py:73

Methodinit_parameters

eva_clip/hf_model.py:247

Functionis_logging

eva_clip/utils.py:292

Functionis_master

(args, local=False)

eva_clip/utils.py:299

Functionlist_pretrained

returns list of pretrained models Returns a tuple (model_name, pretrain_tag) by default or 'name:tag' if as_str == True

eva_clip/pretrained.py:196

Methodload_eva_clip

Methodload_insightface

(self, provider)

Methodload_model

(self, pulid_file)

(self, unlocked_groups=0, freeze_bn_stats=False)

eva_clip/modified_resnet.py:154

(self, unlocked_layers:int=0, freeze_layer_norm:bool=True)

eva_clip/hf_model.py:220

(self, unlocked_groups=0, freeze_bn_stats=False)

eva_clip/transformer.py:567

(self, unlocked_groups=0, freeze_bn_stats=False)

eva_clip/eva_vit_model.py:473

Methodlock_image_tower

(self, unlocked_groups=0, freeze_bn_stats=False)

eva_clip/model.py:233

Methodlock_image_tower

(self, unlocked_groups=0, freeze_bn_stats=False)

eva_clip/model.py:285

Methodlock_text_tower

(self, unlocked_layers:int=0, freeze_layer_norm:bool=True)

eva_clip/model.py:289

Methodno_weight_decay

eva_clip/transformer.py:608

Methodno_weight_decay

eva_clip/transformer.py:707

Methodno_weight_decay

eva_clip/eva_vit_model.py:483

Methodno_weight_decay

eva_clip/model.py:243

Methodno_weight_decay

eva_clip/model.py:298

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