Duplicated from  camenduru/FLUX.1-schnell-quantize

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FLUX.1-schnell-quantize

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• "torch._tensor._rebuild_from_type_v2",
• "torch.utils.hooks.RemovableHandle",
• "torch.device",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "optimum.quanto.nn.qlinear.QLinear",
• "optimum.quanto.tensor.weights.qbytes.WeightQBytesTensor",
• "torch.float8_e4m3fn",
• "torch.nn.modules.normalization.GroupNorm",
• "diffusers.models.downsampling.Downsample2D",
• "__builtin__.getattr",
• "diffusers.models.unets.unet_2d_blocks.UpDecoderBlock2D",
• "optimum.quanto.tensor.qtype.qtype",
• "optimum.quanto.tensor.optimizers.absmax_optimizer.AbsmaxOptimizer",
• "torch.serialization._get_layout",
• "diffusers.models.resnet.ResnetBlock2D",
• "diffusers.models.autoencoders.vae.Encoder",
• "diffusers.models.unets.unet_2d_blocks.DownEncoderBlock2D",
• "diffusers.models.upsampling.Upsample2D",
• "__builtin__.set",
• "torch.BFloat16Storage",
• "collections.OrderedDict",
• "torch.nn.modules.container.ModuleList",
• "torch._utils._rebuild_tensor_v3",
• "diffusers.models.autoencoders.vae.Decoder",
• "torch.bfloat16",
• "diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.activation.SiLU",
• "optimum.quanto.nn.qconv2d.QConv2d",
• "torch._utils._rebuild_wrapper_subclass",
• "diffusers.configuration_utils.FrozenDict",
• "diffusers.models.attention_processor.Attention",
• "diffusers.models.unets.unet_2d_blocks.UNetMidBlock2D",
• "diffusers.models.attention_processor.AttnProcessor2_0",
• "torch.storage.UntypedStorage"

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