TypeError: Image data of dtype object cannot be converted to float For Handwritten Generation

[cramraj8]

I am getting None for returned image when I use handwritten generation option. And when I visualize the image using plt function, I get following error.

plt.imshow(img)
plt.show()

    697 self._A = cbook.safe_masked_invalid(A, copy=True)
    699 if (self._A.dtype != np.uint8 and
    700         not np.can_cast(self._A.dtype, float, "same_kind")):
--> 701     raise TypeError("Image data of dtype {} cannot be converted to "
    702                     "float".format(self._A.dtype))
    704 if self._A.ndim == 3 and self._A.shape[-1] == 1:
    705     # If just one dimension assume scalar and apply colormap
    706     self._A = self._A[:, :, 0]

TypeError: Image data of dtype object cannot be converted to float

Anyone faced similar issue ? I am facing the issue with both versions
version-1: python=3.7 tensorflow=1.13.1
version-2: python=3.8 tensorflow=2.13.0