percent_to_sigma now returns a float instead of a tensor.

comfy/model_sampling.py

@@ -77,9 +77,9 @@ class ModelSamplingDiscrete(torch.nn.Module):
 
     def percent_to_sigma(self, percent):
         if percent <= 0.0:
-            return torch.tensor(999999999.9)
+            return 999999999.9
         if percent >= 1.0:
-            return torch.tensor(0.0)
+            return 0.0
         percent = 1.0 - percent
-        return self.sigma(torch.tensor(percent * 999.0))
+        return self.sigma(torch.tensor(percent * 999.0)).item()
 

comfy_extras/nodes_model_advanced.py

@@ -67,11 +67,11 @@ class ModelSamplingDiscreteLCM(torch.nn.Module):
 
     def percent_to_sigma(self, percent):
         if percent <= 0.0:
-            return torch.tensor(999999999.9)
+            return 999999999.9
         if percent >= 1.0:
-            return torch.tensor(0.0)
+            return 0.0
         percent = 1.0 - percent
-        return self.sigma(torch.tensor(percent * 999.0))
+        return self.sigma(torch.tensor(percent * 999.0)).item()
 
 
 def rescale_zero_terminal_snr_sigmas(sigmas):

comfy_extras/nodes_model_downscale.py

@@ -16,8 +16,8 @@ class PatchModelAddDownscale:
     CATEGORY = "_for_testing"
 
     def patch(self, model, block_number, downscale_factor, start_percent, end_percent, downscale_after_skip):
-        sigma_start = model.model.model_sampling.percent_to_sigma(start_percent).item()
-        sigma_end = model.model.model_sampling.percent_to_sigma(end_percent).item()
+        sigma_start = model.model.model_sampling.percent_to_sigma(start_percent)
+        sigma_end = model.model.model_sampling.percent_to_sigma(end_percent)
 
         def input_block_patch(h, transformer_options):
             if transformer_options["block"][1] == block_number: