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-rw-r--r--modules/processing.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py
index a60dec24..147d64e3 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))]