Method dpm_solver_1_step

k_diffusion/sampling.py:358–363

(self, x, t, t_next, eps_cache=None)

        return eps, {key: eps, **eps_cache}

    def dpm_solver_1_step(self, x, t, t_next, eps_cache=None):
        eps_cache = {} if eps_cache is None else eps_cache
        h = t_next - t
        eps, eps_cache = self.eps(eps_cache, 'eps', x, t)
        x_1 = x - self.sigma(t_next) * h.expm1() * eps
        return x_1, eps_cache

    def dpm_solver_2_step(self, x, t, t_next, r1=1 / 2, eps_cache=None):
        eps_cache = {} if eps_cache is None else eps_cache