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github.com/arielshaulov/FlowMo
/ types & classes
Types & classes
63 in github.com/arielshaulov/FlowMo
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Functions
271
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Types & classes
63
↓ 11 callers
Class
CausalConv3d
Causal 3d convolusion.
wan/modules/vae.py:17
↓ 7 callers
Class
T5LayerNorm
wan/modules/t5.py:53
↓ 6 callers
Class
ResidualBlock
wan/modules/vae.py:186
↓ 5 callers
Class
DashScopePromptExpander
wan/utils/prompt_extend.py:214
↓ 5 callers
Class
FlowDPMSolverMultistepScheduler
`FlowDPMSolverMultistepScheduler` is a fast dedicated high-order solver for diffusion ODEs. This model inherits from [`SchedulerMixin`] and [
wan/utils/fm_solvers.py:69
↓ 5 callers
Class
FlowUniPCMultistepScheduler
`UniPCMultistepScheduler` is a training-free framework designed for the fast sampling of diffusion models. This model inherits from [`Schedu
wan/utils/fm_solvers_unipc.py:20
↓ 5 callers
Class
LayerNorm
wan/modules/clip.py:47
↓ 5 callers
Class
PromptOutput
wan/utils/prompt_extend.py:154
↓ 5 callers
Class
QwenPromptExpander
wan/utils/prompt_extend.py:362
↓ 5 callers
Class
RMS_norm
wan/modules/vae.py:39
↓ 5 callers
Class
T5EncoderModel
wan/modules/t5.py:472
↓ 5 callers
Class
WanVAE
wan/modules/vae.py:619
↓ 4 callers
Class
AttentionBlock
Causal self-attention with a single head.
wan/modules/vae.py:223
↓ 4 callers
Class
T5RelativeEmbedding
wan/modules/t5.py:221
↓ 4 callers
Class
WanLayerNorm
wan/modules/model.py:155
↓ 3 callers
Class
HuggingfaceTokenizer
wan/modules/tokenizers.py:37
↓ 3 callers
Class
T5Attention
wan/modules/t5.py:69
↓ 3 callers
Class
WanRMSNorm
wan/modules/model.py:134
↓ 2 callers
Class
CLIPModel
wan/modules/clip.py:501
↓ 2 callers
Class
QuickGELU
wan/modules/clip.py:41
↓ 2 callers
Class
Resample
wan/modules/vae.py:66
↓ 2 callers
Class
T5FeedForward
wan/modules/t5.py:123
↓ 2 callers
Class
Upsample
wan/modules/vae.py:57
↓ 2 callers
Class
VaceVideoProcessor
wan/utils/vace_processor.py:87
↓ 1 callers
Class
AttentionBlock
wan/modules/clip.py:112
↓ 1 callers
Class
AttentionBlock
wan/modules/xlm_roberta.py:49
↓ 1 callers
Class
AttentionPool
wan/modules/clip.py:156
↓ 1 callers
Class
BaseWanAttentionBlock
wan/modules/vace_model.py:41
↓ 1 callers
Class
Decoder3d
wan/modules/vae.py:369
↓ 1 callers
Class
Encoder3d
wan/modules/vae.py:265
↓ 1 callers
Class
GELU
wan/modules/t5.py:46
↓ 1 callers
Class
Head
wan/modules/model.py:484
↓ 1 callers
Class
MLPProj
wan/modules/model.py:532
↓ 1 callers
Class
ManualGradientCheckpointer
Adds gradient checkpointing to models that don't have native support. Ensures proper gradient flow.
motion_optimizer.py:10
↓ 1 callers
Class
ModelStateCheckpointer
Utility class to efficiently checkpoint model state during optimization.
motion_optimizer.py:299
↓ 1 callers
Class
MotionVarianceOptimizer
Memory-efficient implementation of motion variance optimization during diffusion sampling. Uses manual gradient checkpointing for models with
motion_optimizer.py:67
↓ 1 callers
Class
SelfAttention
wan/modules/clip.py:53
↓ 1 callers
Class
SelfAttention
wan/modules/xlm_roberta.py:10
↓ 1 callers
Class
SwiGLU
wan/modules/clip.py:94
↓ 1 callers
Class
T5CrossAttention
wan/modules/t5.py:178
↓ 1 callers
Class
T5Decoder
wan/modules/t5.py:315
↓ 1 callers
Class
T5Encoder
wan/modules/t5.py:267
↓ 1 callers
Class
T5SelfAttention
wan/modules/t5.py:144
↓ 1 callers
Class
VaceWanAttentionBlock
wan/modules/vace_model.py:9
↓ 1 callers
Class
VisionTransformer
wan/modules/clip.py:209
↓ 1 callers
Class
WanAttentionBlock
wan/modules/model.py:369
↓ 1 callers
Class
WanSelfAttention
wan/modules/model.py:188
↓ 1 callers
Class
WanVAE_
wan/modules/vae.py:483
↓ 1 callers
Class
XLMRoberta
XLMRobertaModel with no pooler and no LM head.
wan/modules/xlm_roberta.py:76
↓ 1 callers
Class
XLMRobertaWithHead
wan/modules/clip.py:303
Class
PromptExpander
wan/utils/prompt_extend.py:165
Class
T5Model
wan/modules/t5.py:372
Class
VaceImageProcessor
wan/utils/vace_processor.py:9
Class
VaceWanModel
wan/modules/vace_model.py:64
Class
WanFLF2V
wan/first_last_frame2video.py:29
Class
WanI2V
wan/image2video.py:29
Class
WanI2VCrossAttention
wan/modules/model.py:303
Class
WanModel
Wan diffusion backbone with improved GPU distribution
wan/modules/model.py:576
Class
WanT2V
wan/text2video.py:27
Class
WanT2VCrossAttention
wan/modules/model.py:266
Class
WanVace
wan/vace.py:29
Class
WanVaceMP
wan/vace.py:435
Class
XLMRobertaCLIP
wan/modules/clip.py:328