How to get reproducible results with DiffEqNoiseProcess.jl?

Specific Domains Numerics
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1

I have a process:

using DifferentialEquations
using Random

mu = 1
sigma = 1
gbm = GeometricBrownianMotionProcess(mu, sigma, 0.0, 10.0)
prob = NoiseProblem(gbm, (0.0, 10))
sol = solve(prob; dt=1.0)

How can I fix the seed and other PRNG parameters, so that I can get the same trajectory for fixed mu, sigma and timespan every time I solve the problem?

2 
prob = NoiseProblem(gbm, (0.0, 10),seed=1)
sol = solve(prob; dt=1.0)
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