Conflict between norm and log_scale in 2d histplot

[bskubi]

Using Seaborn 0.13.2, I am trying to create a seaborn 2d histplot with a log colorscale as well as a log scale on the y axis:

import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm

mean = [0, 10]
cov = [[1, 0], [0, 50]] 
x, y = np.random.multivariate_normal(mean, cov, 5000).T

fig, ax = plt.subplots(figsize=(8, 7))

sns.histplot(
    x=x, 
    y=y, 
    log_scale = (False, True),
    norm=LogNorm(),
    ax=ax
)

However, this results in the error:

ValueError: Passing a Normalize instance simultaneously with vmin/vmax is not supported.  Please pass vmin/vmax directly to the norm when creating it.