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https://git.datalinker.icu/comfyanonymous/ComfyUI
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Implemented EasyCache for aura_flow
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@ -9,6 +9,7 @@ import torch.nn.functional as F
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from comfy.ldm.modules.attention import optimized_attention
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import comfy.ops
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import comfy.patcher_extension
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import comfy.ldm.common_dit
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def modulate(x, shift, scale):
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@ -436,6 +437,13 @@ class MMDiT(nn.Module):
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return x + pos_encoding.reshape(1, -1, self.positional_encoding.shape[-1])
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def forward(self, x, timestep, context, transformer_options={}, **kwargs):
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return comfy.patcher_extension.WrapperExecutor.new_class_executor(
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self._forward,
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self,
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comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options)
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).execute(x, timestep, context, transformer_options, **kwargs)
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def _forward(self, x, timestep, context, transformer_options={}, **kwargs):
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patches_replace = transformer_options.get("patches_replace", {})
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# patchify x, add PE
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b, c, h, w = x.shape
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