Types & classes — github.com/WUyinwei-hah/IFAdapter

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Types & classes16 in github.com/WUyinwei-hah/IFAdapter

⨍ Functions 83 ◇ Types & classes 16

↓ 3 callersClassPositionNet

if_adapter/resampler.py:166

↓ 2 callersClassFourierEmbedder

if_adapter/resampler.py:150

↓ 2 callersClassGemmaRMSNorm

if_adapter/attention_processor.py:62

↓ 2 callersClassGemmaRMSNorm

if_adapter/resampler.py:29

↓ 2 callersClassIFAdapter

if_adapter/if_adapter.py:27

↓ 2 callersClassResampler

if_adapter/resampler.py:191

↓ 1 callersClassCAM

if_adapter/attention_processor.py:27

↓ 1 callersClassCBAM

if_adapter/attention_processor.py:47

↓ 1 callersClassGemmaMLPWithNorm

if_adapter/resampler.py:43

↓ 1 callersClassGemmaRMSNormWithoutScale

if_adapter/resampler.py:15

↓ 1 callersClassMyDataset

ifa_dataset.py:105

↓ 1 callersClassPerceiverAttention

if_adapter/resampler.py:93

↓ 1 callersClassSAM

if_adapter/attention_processor.py:13

ClassAttnProcessor2_0

r""" Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).

if_adapter/attention_processor.py:78

ClassIFAttnProcessor2_0

r""" Attention processor for IP-Adapater for PyTorch 2.0. Args: hidden_size (`int`): The hidden size of the attention laye

if_adapter/attention_processor.py:173

ClassStableDiffusionXLPipeline

r""" Pipeline for text-to-image generation using Stable Diffusion XL. This model inherits from [`DiffusionPipeline`]. Check the superclass do

if_adapter/sdxl_pipeline.py:165