diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
index e83850da2..3dbc9498f 100644
--- a/modules/sd_samplers_kdiffusion.py
+++ b/modules/sd_samplers_kdiffusion.py
@@ -308,7 +308,15 @@ class KDiffusionSampler:
 
     def create_noise_sampler(self, x, sigmas, p):
         from k_diffusion.sampling import BrownianTreeNoiseSampler
-        sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+
+        positive_sigmas = sigmas[sigmas > 0]
+
+        if positive_sigmas.numel() > 0:
+            sigma_min = positive_sigmas.min(dim=0)[0]
+        else:
+            sigma_min = 0
+
+        sigma_max = sigmas.max()
         current_iter_seeds = p.all_seeds[p.iteration * p.batch_size:(p.iteration + 1) * p.batch_size]
         return BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=current_iter_seeds)