diff options
Diffstat (limited to 'modules/sd_samplers_kdiffusion.py')
| -rw-r--r-- | modules/sd_samplers_kdiffusion.py | 30 |
1 files changed, 16 insertions, 14 deletions
diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py index 9c9d9f17..e9ba2c61 100644 --- a/modules/sd_samplers_kdiffusion.py +++ b/modules/sd_samplers_kdiffusion.py @@ -321,25 +321,27 @@ class KDiffusionSampler: sigmas = p.sampler_noise_scheduler_override(steps)
elif opts.k_sched_type != "Automatic":
m_sigma_min, m_sigma_max = (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())
- sigma_min, sigma_max = (0.1, 10)
+ sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (m_sigma_min, m_sigma_max)
sigmas_kwargs = {
- 'sigma_min': sigma_min if opts.use_old_karras_scheduler_sigmas else m_sigma_min,
- 'sigma_max': sigma_max if opts.use_old_karras_scheduler_sigmas else m_sigma_max
+ 'sigma_min': sigma_min,
+ 'sigma_max': sigma_max,
}
sigmas_func = k_diffusion_scheduler[opts.k_sched_type]
- p.extra_generation_params["KDiff Schedule Type"] = opts.k_sched_type
-
- if opts.sigma_min != 0.3:
- # take 0.0 as model default
- sigmas_kwargs['sigma_min'] = opts.sigma_min or m_sigma_min
- p.extra_generation_params["KDiff Schedule min sigma"] = opts.sigma_min
- if opts.sigma_max != 14.6:
- sigmas_kwargs['sigma_max'] = opts.sigma_max or m_sigma_max
- p.extra_generation_params["KDiff Schedule max sigma"] = opts.sigma_max
- if opts.k_sched_type != 'exponential':
+ p.extra_generation_params["Schedule type"] = opts.k_sched_type
+
+ if opts.sigma_min != m_sigma_min and opts.sigma_min != 0:
+ sigmas_kwargs['sigma_min'] = opts.sigma_min
+ p.extra_generation_params["Schedule min sigma"] = opts.sigma_min
+ if opts.sigma_max != m_sigma_max and opts.sigma_max != 0:
+ sigmas_kwargs['sigma_max'] = opts.sigma_max
+ p.extra_generation_params["Schedule max sigma"] = opts.sigma_max
+
+ default_rho = 1. if opts.k_sched_type == "polyexponential" else 7.
+
+ if opts.k_sched_type != 'exponential' and opts.rho != 0 and opts.rho != default_rho:
sigmas_kwargs['rho'] = opts.rho
- p.extra_generation_params["KDiff Schedule rho"] = opts.rho
+ p.extra_generation_params["Schedule rho"] = opts.rho
sigmas = sigmas_func(n=steps, **sigmas_kwargs, device=shared.device)
elif self.config is not None and self.config.options.get('scheduler', None) == 'karras':
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