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flux-compiled-KL-vae

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• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "diffusers.models.unets.unet_2d_blocks.DownEncoderBlock2D",
• "torch.BFloat16Storage",
• "torch.nn.modules.container.ModuleList",
• "torch._dynamo.eval_frame.OptimizedModule",
• "collections.OrderedDict",
• "diffusers.models.unets.unet_2d_blocks.UpDecoderBlock2D",
• "contextlib.nullcontext",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "diffusers.models.autoencoders.vae.Decoder",
• "torch.nn.modules.normalization.GroupNorm",
• "diffusers.models.downsampling.Downsample2D",
• "__builtin__.getattr",
• "torch.nn.modules.conv.Conv2d",
• "torch._dynamo.repro.after_dynamo.WrapBackendDebug",
• "torch._dynamo.hooks.Hooks",
• "torch._dynamo.eval_frame.OptimizeContext",
• "torch._TorchCompileInductorWrapper",
• "torch.nn.modules.activation.SiLU",
• "diffusers.configuration_utils.FrozenDict",
• "diffusers.models.upsampling.Upsample2D",
• "torch._utils._rebuild_tensor_v2",
• "diffusers.models.resnet.ResnetBlock2D",
• "torch._dynamo.convert_frame.CatchErrorsWrapper",
• "diffusers.models.attention_processor.AttnProcessor2_0",
• "diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL",
• "diffusers.models.unets.unet_2d_blocks.UNetMidBlock2D",
• "diffusers.models.autoencoders.vae.Encoder",
• "torch._dynamo.convert_frame.ConvertFrameAssert",
• "torch._dynamo.convert_frame.ConvertFrame",
• "diffusers.models.attention_processor.Attention"

How to fix it?