def forward(self, x: torch.Tensor) -> torch.Tensor:
        r"""
        This method takes input tensor x and applies a convolutional layer, ReLU activation, and another convolutional
        layer on the input tensor. It returns addition with the input tensor.
        """

        h = self.act(self.block1(x))
        h = self.block2(h)

        return h + x

        This method takes input tensor x and applies a convolutional layer, ReLU activation, and another convolutional
        layer on the input tensor. It returns addition with the input tensor.
        
src/diffusers/models/adapter.py