Issue in merging two SCTransformed Seurat objects in version 5

[KirSha06]

Hi,
I am trying to merge two Seurat objects (C and F) into a single Seurat object. These two objects are SCTransformed, keeping RNA as default assay. But when I am trying to merge them. It is showing me this error and I couldn't solve this.

DefaultAssay(C) <- "RNA"
DefaultAssay(F) <- "RNA"

C.sct <- SCTransform(C, vars.to.regress = "percent.mt", verbose = FALSE)
F.sct <- SCTransform(F, vars.to.regress = "percent.mt", verbose = FALSE)

Warning: Different cells and/or features from existing assay SCTWarning: Different cells and/or features from existing assay SCT
It is showing this warning, but i don't know I have to worry about it or not.

shared_features <- intersect(Features(C), Features(F))

slct_features = head(rownames(C))
    tmp_SCT_features_attributes = slot(object = C[["SCT"]], name = "SCTModel.list")[[1]]@feature.attributes 
    tmp_SCT_features_attributes = tmp_SCT_features_attributes[shared_features, ]
    slot(object = C[["SCT"]], name = "SCTModel.list")[[1]]@feature.attributes = tmp_SCT_features_attributes
    C.NEW = subset(C, features = shared_features)

slct_features = head(rownames(F))
    tmp_SCT_features_attributes = slot(object = F[["SCT"]], name = "SCTModel.list")[[1]]@feature.attributes 
    tmp_SCT_features_attributes = tmp_SCT_features_attributes[shared_features, ]
    slot(object = F[["SCT"]], name = "SCTModel.list")[[1]]@feature.attributes = tmp_SCT_features_attributes
    F.NEW = subset(F, features = shared_features)

merged.new <- merge(cmv.sct_new, y = flu.sct_new,
                 merge.data = TRUE)

Error in rbind(new_residual, old_residuals) :
number of columns of matrices must match (see arg 2)
and after this step; I got this error and unable to merge.
I want not facing any issue in merging datasets in Seurat v4 but once I start working in v5, this error occurs. Can you help me out in fixing this error ?