diff --git a/modules/processing.py b/modules/processing.py
index a60dec24103bd71a92341a69120ba2c2af7d5ba7..147d64e325b06a2a6a4219f13740dbdf4167b81a 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -124,7 +124,7 @@ def create_random_tensors(shape, seeds, subseeds=None, subseed_strength=0.0, see
 
     # if we have multiple seeds, this means we are working with batch size>1; this then
     # enables the generation of additional tensors with noise that the sampler will use during its processing.
-    # Using those pre-genrated tensors instead of siimple torch.randn allows a batch with seeds [100, 101] to
+    # Using those pre-generated tensors instead of simple torch.randn allows a batch with seeds [100, 101] to
     # produce the same images as with two batches [100], [101].
     if p is not None and p.sampler is not None and len(seeds) > 1 and opts.enable_batch_seeds:
         sampler_noises = [[] for _ in range(p.sampler.number_of_needed_noises(p))]