fixed typos in processing.py

This commit is contained in:
Steve Eberhardt 2022-09-17 22:09:52 -07:00
parent 1e18d23738
commit f39b2ca088

View file

@ -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))]