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Looks like something is off when you specify a discrete normalization with the curl colormap.
The code below will produce 4 plots; the first 3 are as expected but the last one demonstrates the issue. Colors are no longer centered around 0 (white).
import matplotlib.pyplot as plt
import cmocean
import numpy as np
data = np.random.normal(loc=0, size=(10, 10))
norm = mpl.colors.TwoSlopeNorm(0, -2, 2)
plt.imshow(data, cmap='cmo.balance', norm=norm)
plt.colorbar()
plt.title('TwoSlopeNorm, Balance (Correct)')
plt.figure()
plt.imshow(data, cmap='cmo.curl', norm=norm)
plt.colorbar()
plt.title('TwoSlopeNorm, Curl (Correct)')
bounds = np.linspace(-2, 2, 21)
norm = mpl.colors.BoundaryNorm(bounds, 256)
plt.figure()
plt.imshow(data, cmap='cmo.balance', norm=norm)
plt.colorbar()
plt.title('BoundaryNorm, Balance (CORRECT)')
plt.figure()
plt.imshow(data, cmap='cmo.curl', norm=norm)
plt.colorbar()
plt.title('BoundaryNorm, Curl (INCORRECT)');
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