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Types & classes35 in github.com/UCSC-VLAA/story-iter

⨍ Functions 103◇ Types & classes 35
↓ 3 callersClassAttnProcessor
r""" Default processor for performing attention-related computations.
ip_adapter/attention_processor.py:7
↓ 3 callersClassIPAttnProcessor
r""" Attention processor for IP-Adapater. Args: hidden_size (`int`): The hidden size of the attention layer. cross
ip_adapter/attention_processor.py:82
↓ 3 callersClassPerceiverAttention
ip_adapter/resampler.py:34
↓ 2 callersClassCNAttnProcessor
r""" Default processor for performing attention-related computations.
ip_adapter/attention_processor.py:426
↓ 2 callersClassLoRAAttnProcessor
r""" Default processor for performing attention-related computations.
ip_adapter/attention_processor_faceid.py:9
↓ 2 callersClassLoRAIPAttnProcessor
r""" Attention processor for IP-Adapater. Args: hidden_size (`int`): The hidden size of the attention layer. cross
ip_adapter/attention_processor_faceid.py:95
↓ 2 callersClassResampler
ip_adapter/resampler.py:81
↓ 1 callersClassFacePerceiverResampler
ip_adapter/ip_adapter_faceid_separate.py:26
↓ 1 callersClassFacePerceiverResampler
ip_adapter/ip_adapter_faceid.py:27
↓ 1 callersClassImageProjModel
Projection Model
ip_adapter/ip_adapter.py:28
↓ 1 callersClassMLPProjModel
ip_adapter/ip_adapter_faceid_separate.py:63
↓ 1 callersClassMLPProjModel
ip_adapter/ip_adapter_faceid.py:68
↓ 1 callersClassMLPProjModel
SD model with image prompt
ip_adapter/ip_adapter.py:49
↓ 1 callersClassProjPlusModel
ip_adapter/ip_adapter_faceid_separate.py:84
↓ 1 callersClassProjPlusModel
ip_adapter/ip_adapter_faceid.py:89
↓ 1 callersClassStoryAdapterXL
SDXL
ip_adapter/ip_adapter.py:244
ClassAttnProcessor2_0
r""" Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
ip_adapter/attention_processor.py:201
ClassCNAttnProcessor2_0
r""" Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
ip_adapter/attention_processor.py:491
ClassIPAdapter
ip_adapter/ip_adapter.py:66
ClassIPAdapterFaceID
ip_adapter/ip_adapter_faceid_separate.py:119
ClassIPAdapterFaceID
ip_adapter/ip_adapter_faceid.py:124
ClassIPAdapterFaceIDPlus
ip_adapter/ip_adapter_faceid_separate.py:263
ClassIPAdapterFaceIDPlus
ip_adapter/ip_adapter_faceid.py:259
ClassIPAdapterFaceIDPlusXL
SDXL
ip_adapter/ip_adapter_faceid_separate.py:479
ClassIPAdapterFaceIDPlusXL
SDXL
ip_adapter/ip_adapter_faceid.py:511
ClassIPAdapterFaceIDXL
SDXL
ip_adapter/ip_adapter_faceid_separate.py:413
ClassIPAdapterFaceIDXL
SDXL
ip_adapter/ip_adapter_faceid.py:445
ClassIPAdapterFull
IP-Adapter with full features
ip_adapter/ip_adapter.py:483
ClassIPAdapterPlus
IP-Adapter with fine-grained features
ip_adapter/ip_adapter.py:452
ClassIPAdapterPlusXL
SDXL
ip_adapter/ip_adapter.py:494
ClassIPAttnProcessor2_0
r""" Attention processor for IP-Adapater for PyTorch 2.0. Args: hidden_size (`int`): The hidden size of the attention laye
ip_adapter/attention_processor.py:292
ClassLoRAAttnProcessor2_0
r""" Default processor for performing attention-related computations.
ip_adapter/attention_processor_faceid.py:217
ClassLoRAIPAttnProcessor2_0
r""" Processor for implementing the LoRA attention mechanism. Args: hidden_size (`int`, *optional*): The hidden size of t
ip_adapter/attention_processor_faceid.py:313
ClassStableDiffusionXLCustomPipeline
ip_adapter/custom_pipelines.py:16
ClassStoryAdapterXLControlnet
SDXL
ip_adapter/ip_adapter.py:347