Relying on the method developed in [11], we prove the existence of a density for two different examples of random fields indexed by (t, x) ∈ (0, T ] × R d . The first example consists of SPDEs with Lipschitz continuous coefficients driven by a Gaussian noise white in time and with a stationary spatial covariance, in the setting of [9]. The density exists on the set where the nonlinearity σ of the noise does not vanish. This complements the results in [20] where σ is assumed to be bounded away from zero. The second example is an ambit field with a stochastic integral term having as integrator a Lévy basis of pure-jump, stable-like type.