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from diffusers.models.transformers import transformer_flux
import torch
class CompiledFluxTransformerBlock(transformer_flux.FluxTransformerBlock):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
@torch.compile
def forward(self, *args, **kwargs):
return super().forward(*args, **kwargs)
class CompiledFluxSingleTransformerBlock(transformer_flux.FluxSingleTransformerBlock):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
@torch.compile
def forward(self, *args, **kwargs):
return super().forward(*args, **kwargs)
class CompiledFluxPosEmbed(transformer_flux.FluxPosEmbed):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
@torch.compile
def forward(self, *args, **kwargs):
return super().forward(*args, **kwargs)
class CompiledCombinedTimestepTextProjEmbeddings(transformer_flux.CombinedTimestepTextProjEmbeddings):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
@torch.compile
def forward(self, *args, **kwargs):
return super().forward(*args, **kwargs)
class CompiledAdaLayerNormContinuous(transformer_flux.AdaLayerNormContinuous):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
@torch.compile
def forward(self, *args, **kwargs):
return super().forward(*args, **kwargs)
transformer_flux.FluxTransformerBlock = CompiledFluxTransformerBlock
transformer_flux.FluxSingleTransformerBlock = CompiledFluxSingleTransformerBlock
transformer_flux.FluxPosEmbed = CompiledFluxPosEmbed
transformer_flux.CombinedTimestepTextProjEmbeddings = CompiledCombinedTimestepTextProjEmbeddings
transformer_flux.AdaLayerNormContinuous = CompiledAdaLayerNormContinuous |