First time here, I am new to python atrying to resize an image for a ComfyUI node using python

import torch
import torchvision.transforms.functional as TF
from PIL import Image

class ImageResize:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "image": ("IMAGE",),
                "height": ("INT", {"min": 1}),
                "width": ("INT", {"min": 1}),
            },
        }

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "resize_image"
    CATEGORY = "ImageProcessing"

    def resize_image(self, image, height, width):
        input_image = image
        resized_image = TF.resize(input_image, (height, width))
        return (resized_image,)

Using the above, when I adjust the height, the width changes, and when I adjust the width,

int of 1 shows cannot handle this data type: (1, 1, 1), |u1
int of 2 shows a black and white image
int of 3 shows a full colour image
int of 4 shows a dimmed colour image
5 or higher throws the same error as 1 with the last value incrementing to 5 or higher ie: Cannot handle this data type: (1, 1, 5), |u1

What am I doing wrong?

not sure why height is adjusting the width and the width doing something completely different