MCPcopy Create free account

hub / github.com/tdrussell/diffusion-pipe / types & classes

Types & classes222 in github.com/tdrussell/diffusion-pipe

↓ 44 callersClassModelOffloader
supports forward offloading
utils/offloading.py:184
↓ 15 callersClassCausalConv3d
Causal 3d convolusion.
models/wan/vae2_2.py:17
↓ 13 callersClassPreprocessMediaFile
models/base.py:76
↓ 11 callersClassCausalConv3d
Causal 3d convolusion.
models/wan/vae2_1.py:13
↓ 7 callersClassT5LayerNorm
models/wan/t5.py:47
↓ 6 callersClassRMSNorm
models/llm_adapter.py:18
↓ 6 callersClassResidualBlock
models/wan/vae2_2.py:193
↓ 6 callersClassResidualBlock
models/wan/vae2_1.py:182
↓ 5 callersClassAuto8bitTensor
optimizers/optimizer_utils.py:222
↓ 5 callersClassLayerNorm
models/wan/clip.py:41
↓ 5 callersClassRMS_norm
models/wan/vae2_2.py:45
↓ 5 callersClassRMS_norm
models/wan/vae2_1.py:35
↓ 5 callersClassStorageWeakRef
r"""A weak reference to a Storage. The cdata member is a Python number containing the integer representation of the Storage pointer.
utils/reduction.py:27
↓ 4 callersClassAttentionBlock
Causal self-attention with a single head.
models/wan/vae2_1.py:219
↓ 4 callersClassModelWrapper
Simple wrapper that delays loading the model, since the model isn't needed if the training data is already cached.
models/base.py:451
↓ 4 callersClassT5RelativeEmbedding
models/wan/t5.py:215
↓ 4 callersClassWanLayerNorm
models/wan/model.py:89
↓ 3 callersClassHuggingfaceTokenizer
models/wan/tokenizers.py:35
↓ 3 callersClassModulationOutSpec
models/chroma.py:37
↓ 3 callersClassRMSNorm
models/cosmos_predict2_modeling.py:226
↓ 3 callersClassT5Attention
models/wan/t5.py:63
↓ 3 callersClassWanRMSNorm
models/wan/model.py:70
↓ 2 callersClassAttention
A flexible attention module supporting both self-attention and cross-attention mechanisms. This module implements a multi-head attention lay
models/cosmos_predict2_modeling.py:309
↓ 2 callersClassAttention
models/llm_adapter.py:72
↓ 2 callersClassAttentionBlock
Causal self-attention with a single head.
models/wan/vae2_2.py:238
↓ 2 callersClassCache
utils/cache.py:10
↓ 2 callersClassManualPipelineModule
utils/pipeline.py:11
↓ 2 callersClassMidBlockInnerLayer
models/sdxl.py:802
↓ 2 callersClassQuickGELU
models/wan/clip.py:35
↓ 2 callersClassResample
models/wan/vae2_2.py:71
↓ 2 callersClassResample
models/wan/vae2_1.py:62
↓ 2 callersClassSizeBucketDataset
utils/dataset.py:206
↓ 2 callersClassT5FeedForward
models/wan/t5.py:117
↓ 2 callersClassUpsample
models/wan/vae2_2.py:62
↓ 2 callersClassUpsample
models/wan/vae2_1.py:53
↓ 2 callersClassWanVAE
models/cosmos_predict2.py:74
↓ 2 callersClassWanVAE_
models/wan/vae2_1.py:479
↓ 1 callersClassARBucketDataset
utils/dataset.py:398
↓ 1 callersClassAttentionBlock
models/wan/clip.py:106
↓ 1 callersClassAttentionBlock
models/wan/xlm_roberta.py:47
↓ 1 callersClassAttentionPool
models/wan/clip.py:150
↓ 1 callersClassAvgDown3D
models/wan/vae2_2.py:316
↓ 1 callersClassBlock
A transformer block that combines self-attention, cross-attention and MLP layers with AdaLN modulation. Each component (self-attention, cross
models/cosmos_predict2_modeling.py:937
↓ 1 callersClassCLIPModel
models/wan/clip.py:495
↓ 1 callersClassCausalContinuousVideoTokenizer
tools/cosmos_vae_test.py:32
↓ 1 callersClassCausalContinuousVideoTokenizer
models/cosmos.py:48
↓ 1 callersClassConcatenateTxtImg
models/flux2.py:356
↓ 1 callersClassConcatenatedBatchedDataset
utils/dataset.py:341
↓ 1 callersClassDecoder3d
models/wan/vae2_2.py:616
↓ 1 callersClassDecoder3d
models/wan/vae2_1.py:365
↓ 1 callersClassDirectoryDataset
utils/dataset.py:447
↓ 1 callersClassDoubleBlock
models/hunyuan_video.py:620
↓ 1 callersClassDoubleBlock
models/hunyuan_image.py:456
↓ 1 callersClassDoubleTransformerLayer
models/auraflow.py:221
↓ 1 callersClassDoubleTransformerLayer
models/flux2.py:329
↓ 1 callersClassDownBlockInnerLayer
models/sdxl.py:785
↓ 1 callersClassDown_ResidualBlock
models/wan/vae2_2.py:415
↓ 1 callersClassDownsamplerLayer
models/sdxl.py:835
↓ 1 callersClassDummyOptimizer
train.py:61
↓ 1 callersClassDupUp3D
models/wan/vae2_2.py:370
↓ 1 callersClassEmbeddingWrapper
models/flux.py:454
↓ 1 callersClassEncoder3d
models/wan/vae2_2.py:500
↓ 1 callersClassEncoder3d
models/wan/vae2_1.py:261
↓ 1 callersClassFinalLayer
models/chroma.py:492
↓ 1 callersClassFinalLayer
models/ernie_image.py:209
↓ 1 callersClassFinalLayer
models/hunyuan_video_15.py:306
↓ 1 callersClassFinalLayer
models/z_image.py:240
↓ 1 callersClassFinalLayer
models/auraflow.py:264
↓ 1 callersClassFinalLayer
models/lumina_2.py:322
↓ 1 callersClassFinalLayer
The final layer of video DiT.
models/cosmos_predict2_modeling.py:859
↓ 1 callersClassFinalLayer
models/cosmos.py:402
↓ 1 callersClassFinalLayer
models/sdxl.py:978
↓ 1 callersClassFinalLayer
models/cosmos_predict2.py:616
↓ 1 callersClassFinalLayer
models/sd3.py:218
↓ 1 callersClassFinalLayer
models/ltx2.py:597
↓ 1 callersClassFinalLayer
models/ideogram4.py:243
↓ 1 callersClassFinalLayer
models/krea2.py:265
↓ 1 callersClassFinalLayer
models/omnigen2.py:301
↓ 1 callersClassFinalLayer
models/flux2.py:400
↓ 1 callersClassFinalLayer
models/qwen_image.py:582
↓ 1 callersClassFinalLayer
models/wan/wan.py:531
↓ 1 callersClassGELU
models/wan/t5.py:40
↓ 1 callersClassGPT2FeedForward
models/cosmos_predict2_modeling.py:245
↓ 1 callersClassHead
models/wan/model.py:315
↓ 1 callersClassInitialLayer
models/hidream.py:350
↓ 1 callersClassInitialLayer
models/chroma.py:338
↓ 1 callersClassInitialLayer
models/ernie_image.py:119
↓ 1 callersClassInitialLayer
models/hunyuan_video_15.py:209
↓ 1 callersClassInitialLayer
models/z_image.py:123
↓ 1 callersClassInitialLayer
models/auraflow.py:187
↓ 1 callersClassInitialLayer
models/lumina_2.py:191
↓ 1 callersClassInitialLayer
models/cosmos.py:296
↓ 1 callersClassInitialLayer
models/sdxl.py:652
↓ 1 callersClassInitialLayer
models/ltx_video.py:221
↓ 1 callersClassInitialLayer
models/cosmos_predict2.py:532
↓ 1 callersClassInitialLayer
models/hunyuan_video.py:542
↓ 1 callersClassInitialLayer
models/sd3.py:170
↓ 1 callersClassInitialLayer
models/ltx2.py:397
↓ 1 callersClassInitialLayer
models/hunyuan_image.py:384
↓ 1 callersClassInitialLayer
models/ideogram4.py:134
next →1–100 of 222, ranked by callers