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Types & classes51 in github.com/cubiq/PuLID_ComfyUI

↓ 4 callersClassLayerScale
eva_clip/transformer.py:66
↓ 2 callersClassBottleneck
eva_clip/modified_resnet.py:10
↓ 2 callersClassCLIP
eva_clip/model.py:210
↓ 2 callersClassCLIPTextCfg
eva_clip/model.py:66
↓ 2 callersClassCLIPVisionCfg
eva_clip/model.py:37
↓ 2 callersClassMlp
eva_clip/eva_vit_model.py:47
↓ 2 callersClassPatchDropout
https://arxiv.org/abs/2212.00794
eva_clip/transformer.py:75
↓ 2 callersClassTransformer
eva_clip/transformer.py:485
↓ 1 callersClassAttention
eva_clip/transformer.py:150
↓ 1 callersClassAttention
eva_clip/eva_vit_model.py:106
↓ 1 callersClassAttentionPool2d
eva_clip/modified_resnet.py:58
↓ 1 callersClassAttn2Replace
pulid.py:94
↓ 1 callersClassBlock
eva_clip/eva_vit_model.py:246
↓ 1 callersClassCustomAttention
eva_clip/transformer.py:243
↓ 1 callersClassCustomCLIP
eva_clip/model.py:270
↓ 1 callersClassCustomResidualAttentionBlock
eva_clip/transformer.py:339
↓ 1 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
eva_clip/eva_vit_model.py:33
↓ 1 callersClassEVAVisionTransformer
Vision Transformer with support for patch or hybrid CNN input stage
eva_clip/eva_vit_model.py:366
↓ 1 callersClassHFTextEncoder
HuggingFace model adapter
eva_clip/hf_model.py:75
↓ 1 callersClassHFTokenizer
HuggingFace tokenizer wrapper
eva_clip/tokenizer.py:188
↓ 1 callersClassIDEncoder
encoders.py:4
↓ 1 callersClassModifiedResNet
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 callersClassPatchEmbed
Image to Patch Embedding
eva_clip/eva_vit_model.py:305
↓ 1 callersClassPulidModel
pulid.py:27
↓ 1 callersClassRelativePositionBias
eva_clip/eva_vit_model.py:329
↓ 1 callersClassResidualAttentionBlock
eva_clip/transformer.py:443
↓ 1 callersClassResizeMaxSize
eva_clip/transform.py:13
↓ 1 callersClassSimpleTokenizer
eva_clip/tokenizer.py:72
↓ 1 callersClassSwiGLU
eva_clip/eva_vit_model.py:81
↓ 1 callersClassTextTransformer
eva_clip/transformer.py:642
↓ 1 callersClassTimmModel
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 callersClassTo_KV
pulid.py:44
↓ 1 callersClassVisionRotaryEmbeddingFast
eva_clip/rope.py:79
↓ 1 callersClassVisionTransformer
eva_clip/transformer.py:520
ClassAllGather
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
ClassApplyPulid
pulid.py:273
ClassApplyPulidAdvanced
pulid.py:464
ClassBaseModelOutput
eva_clip/hf_model.py:21
ClassClipLoss
eva_clip/loss.py:70
ClassClsPooler
CLS token pooling
eva_clip/hf_model.py:58
ClassCustomTransformer
eva_clip/transformer.py:389
ClassLayerNorm
Subclass torch's LayerNorm (with cast back to input dtype).
eva_clip/transformer.py:52
ClassLayerNormFp32
Subclass torch's LayerNorm to handle fp16 (by casting to float32 and back).
eva_clip/transformer.py:36
ClassMaxPooler
Max pooling
eva_clip/hf_model.py:51
ClassMeanPooler
Mean pooling
eva_clip/hf_model.py:44
ClassPretrainedConfig
eva_clip/hf_model.py:25
ClassPulidEvaClipLoader
pulid.py:245
ClassPulidInsightFaceLoader
pulid.py:226
ClassPulidModelLoader
pulid.py:198
ClassQuickGELU
eva_clip/transformer.py:60
ClassVisionRotaryEmbedding
eva_clip/rope.py:30