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github.com/cubiq/PuLID_ComfyUI
/ types & classes
Types & classes
51 in github.com/cubiq/PuLID_ComfyUI
⨍
Functions
214
◇
Types & classes
51
↓ 4 callers
Class
LayerScale
eva_clip/transformer.py:66
↓ 2 callers
Class
Bottleneck
eva_clip/modified_resnet.py:10
↓ 2 callers
Class
CLIP
eva_clip/model.py:210
↓ 2 callers
Class
CLIPTextCfg
eva_clip/model.py:66
↓ 2 callers
Class
CLIPVisionCfg
eva_clip/model.py:37
↓ 2 callers
Class
Mlp
eva_clip/eva_vit_model.py:47
↓ 2 callers
Class
PatchDropout
https://arxiv.org/abs/2212.00794
eva_clip/transformer.py:75
↓ 2 callers
Class
Transformer
eva_clip/transformer.py:485
↓ 1 callers
Class
Attention
eva_clip/transformer.py:150
↓ 1 callers
Class
Attention
eva_clip/eva_vit_model.py:106
↓ 1 callers
Class
AttentionPool2d
eva_clip/modified_resnet.py:58
↓ 1 callers
Class
Attn2Replace
pulid.py:94
↓ 1 callers
Class
Block
eva_clip/eva_vit_model.py:246
↓ 1 callers
Class
CustomAttention
eva_clip/transformer.py:243
↓ 1 callers
Class
CustomCLIP
eva_clip/model.py:270
↓ 1 callers
Class
CustomResidualAttentionBlock
eva_clip/transformer.py:339
↓ 1 callers
Class
DropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
eva_clip/eva_vit_model.py:33
↓ 1 callers
Class
EVAVisionTransformer
Vision Transformer with support for patch or hybrid CNN input stage
eva_clip/eva_vit_model.py:366
↓ 1 callers
Class
HFTextEncoder
HuggingFace model adapter
eva_clip/hf_model.py:75
↓ 1 callers
Class
HFTokenizer
HuggingFace tokenizer wrapper
eva_clip/tokenizer.py:188
↓ 1 callers
Class
IDEncoder
encoders.py:4
↓ 1 callers
Class
ModifiedResNet
A ResNet class that is similar to torchvision's but contains the following changes: - There are now 3 "stem" convolutions as opposed to 1, wi
eva_clip/modified_resnet.py:95
↓ 1 callers
Class
PatchEmbed
Image to Patch Embedding
eva_clip/eva_vit_model.py:305
↓ 1 callers
Class
PulidModel
pulid.py:27
↓ 1 callers
Class
RelativePositionBias
eva_clip/eva_vit_model.py:329
↓ 1 callers
Class
ResidualAttentionBlock
eva_clip/transformer.py:443
↓ 1 callers
Class
ResizeMaxSize
eva_clip/transform.py:13
↓ 1 callers
Class
SimpleTokenizer
eva_clip/tokenizer.py:72
↓ 1 callers
Class
SwiGLU
eva_clip/eva_vit_model.py:81
↓ 1 callers
Class
TextTransformer
eva_clip/transformer.py:642
↓ 1 callers
Class
TimmModel
timm model adapter # FIXME this adapter is a work in progress, may change in ways that break weight compat
eva_clip/timm_model.py:28
↓ 1 callers
Class
To_KV
pulid.py:44
↓ 1 callers
Class
VisionRotaryEmbeddingFast
eva_clip/rope.py:79
↓ 1 callers
Class
VisionTransformer
eva_clip/transformer.py:520
Class
AllGather
An autograd function that performs allgather on a tensor. Performs all_gather operation on the provided tensors. *** Warning ***: torch.distri
eva_clip/utils.py:304
Class
ApplyPulid
pulid.py:273
Class
ApplyPulidAdvanced
pulid.py:464
Class
BaseModelOutput
eva_clip/hf_model.py:21
Class
ClipLoss
eva_clip/loss.py:70
Class
ClsPooler
CLS token pooling
eva_clip/hf_model.py:58
Class
CustomTransformer
eva_clip/transformer.py:389
Class
LayerNorm
Subclass torch's LayerNorm (with cast back to input dtype).
eva_clip/transformer.py:52
Class
LayerNormFp32
Subclass torch's LayerNorm to handle fp16 (by casting to float32 and back).
eva_clip/transformer.py:36
Class
MaxPooler
Max pooling
eva_clip/hf_model.py:51
Class
MeanPooler
Mean pooling
eva_clip/hf_model.py:44
Class
PretrainedConfig
eva_clip/hf_model.py:25
Class
PulidEvaClipLoader
pulid.py:245
Class
PulidInsightFaceLoader
pulid.py:226
Class
PulidModelLoader
pulid.py:198
Class
QuickGELU
eva_clip/transformer.py:60
Class
VisionRotaryEmbedding
eva_clip/rope.py:30