A stochastic-local volatility model (SLV) lets the underlying’s volatility be the product of a function of time and spot and a stochastic factor:
StdSt=(rd−rf)dt+L(t,St)vtdWt1,dvt=κ(vˉ−vt)dt+ληvtdWt2,
with a mixing weight λ∈[0,1] scaling the volatility of variance: λ=0 reduces the model to local volatility and λ=1 with L(t,S)=1 to Heston.