From e8e7fe11e903115a706187f8301df2e06fa018f8 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 27 May 2023 19:53:09 +0300
Subject: updates for the noise schedule settings

---
 modules/sd_samplers_kdiffusion.py | 30 ++++++++++++++++--------------
 1 file changed, 16 insertions(+), 14 deletions(-)

(limited to 'modules/sd_samplers_kdiffusion.py')

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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