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fixed typos in processing.py

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Steve Eberhardt 2022-09-17 22:09:52 -07:00
parent 1e18d23738
commit f39b2ca088
1 changed files with 1 additions and 1 deletions
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modules/processing.py
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@ -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 # 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. # 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]. # 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: 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))] sampler_noises = [[] for _ in range(p.sampler.number_of_needed_noises(p))]