Use better way to impl

1 files changed, 13 insertions, 6 deletions

diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
index 969ef02b..5fea08b0 100644
--- a/modules/sd_samplers_kdiffusion.py
+++ b/modules/sd_samplers_kdiffusion.py
@@ -295,6 +295,13 @@ class KDiffusionSampler:
 

         k_diffusion.sampling.torch = TorchHijack(self.sampler_noises if self.sampler_noises is not None else [])

 

+        if opts.custom_k_sched:

+            p.extra_generation_params["Enable Custom KDiffusion Schedule"] = True

+            p.extra_generation_params["KDiffusion Scheduler Type"] = opts.k_sched_type

+            p.extra_generation_params["KDiffusion Scheduler sigma_max"] = opts.sigma_max

+            p.extra_generation_params["KDiffusion Scheduler sigma_min"] = opts.sigma_min

+            p.extra_generation_params["KDiffusion Scheduler rho"] = opts.rho

+

         extra_params_kwargs = {}

         for param_name in self.extra_params:

             if hasattr(p, param_name) and param_name in inspect.signature(self.func).parameters:

@@ -318,15 +325,15 @@ class KDiffusionSampler:
 

         if p.sampler_noise_scheduler_override:

             sigmas = p.sampler_noise_scheduler_override(steps)

-        elif p.enable_custom_k_sched:

+        elif opts.custom_k_sched:

             sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())

-            sigmas_func = k_diffusion_scheduler[p.k_sched_type]

+            sigmas_func = k_diffusion_scheduler[opts.k_sched_type]

             sigmas_kwargs = {

-                'sigma_min': p.sigma_min or sigma_min,

-                'sigma_max': p.sigma_max or sigma_max

+                'sigma_min': opts.sigma_min or sigma_min,

+                'sigma_max': opts.sigma_max or sigma_max

             }

-            if p.k_sched_type != 'exponential':

-                sigmas_kwargs['rho'] = p.rho

+            if opts.k_sched_type != 'exponential':

+                sigmas_kwargs['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':

             sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())