temperature parameter purpose

[neverix]

In

stable-diffusion-tensorflow/stable_diffusion_tf/stable_diffusion.py

Lines 141 to 150 in c172a40

	def get_x_prev_and_pred_x0(self, x, e_t, index, a_t, a_prev, temperature, seed):
	sigma_t = 0
	sqrt_one_minus_at = math.sqrt(1 - a_t)
	pred_x0 = (x - sqrt_one_minus_at * e_t) / math.sqrt(a_t)
	# Direction pointing to x_t
	dir_xt = math.sqrt(1.0 - a_prev - sigma_t**2) * e_t
	noise = sigma_t * tf.random.normal(x.shape, seed=seed) * temperature
	x_prev = math.sqrt(a_prev) * pred_x0 + dir_xt
	return x_prev, pred_x0

there is a parameter named temperature. Changing it does not affect the output. Are there future plans for it?