|
|
|
|
@ -454,6 +454,9 @@ class KDiffusionSampler:
|
|
|
|
|
else:
|
|
|
|
|
sigmas = self.model_wrap.get_sigmas(steps)
|
|
|
|
|
|
|
|
|
|
if self.funcname in ['sample_dpm_2_ancestral', 'sample_dpm_2']:
|
|
|
|
|
sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
|
|
|
|
|
|
|
|
|
|
sigma_sched = sigmas[steps - t_enc - 1:]
|
|
|
|
|
xi = x + noise * sigma_sched[0]
|
|
|
|
|
|
|
|
|
|
@ -494,6 +497,9 @@ class KDiffusionSampler:
|
|
|
|
|
|
|
|
|
|
x = x * sigmas[0]
|
|
|
|
|
|
|
|
|
|
if self.funcname in ['sample_dpm_2_ancestral', 'sample_dpm_2']:
|
|
|
|
|
sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
|
|
|
|
|
|
|
|
|
|
extra_params_kwargs = self.initialize(p)
|
|
|
|
|
if 'sigma_min' in inspect.signature(self.func).parameters:
|
|
|
|
|
extra_params_kwargs['sigma_min'] = self.model_wrap.sigmas[0].item()
|
|
|
|
|
|